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Chen ZL, Yi Y, Fu W, Liang W, Li P, Wang K, Zhang L, Dong K, Li SL, Xu S, He D. Severe flood modulates the sources and age of dissolved organic carbon in the Yangtze River Estuary. Environ Res 2024; 252:119040. [PMID: 38692424 DOI: 10.1016/j.envres.2024.119040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 03/25/2024] [Accepted: 04/27/2024] [Indexed: 05/03/2024]
Abstract
Floods in global large rivers modulate the transport of dissolved organic carbon (DOC) and estuarine hydrological characteristics significantly. This study investigated the impact of a severe flood on the sources and age of DOC in the Yangtze River Estuary (YRE) in 2020. Comparing the flood period in 2020 to the non-flood period in 2017, we found that the flood enhanced the transport of young DOC to the East China Sea (ECS), resulting in significantly enriched Δ14C-DOC values. During the flood period, the proportion of modern terrestrial organic carbon (OC) was significantly higher compared to the non-flood period. Conversely, the proportion of pre-aged sediment OC was significantly lower during the flood period. The high turbidity associated with the flood facilitated rapid transformation and mineralization of sedimentary and fresh terrestrial OC, modifying the sources of DOC. The flux of modern terrestrial OC transported to the ECS during the flood period was 1.58 times higher than that of the non-flood period. These findings suggest that floods can modulate the sources and decrease the age of DOC, potentially leading to increased greenhouse gas emissions. Further research is needed to understand the long-term impacts of floods on DOC dynamics in global estuaries.
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Affiliation(s)
- Zhao Liang Chen
- Department of Ocean Science and Center for Ocean Research in Hong Kong and Macau, The Hong Kong University of Science and Technology, Clear Water Bay, New Territories, 999077, Hong Kong, China
| | - Yuanbi Yi
- Department of Ocean Science and Center for Ocean Research in Hong Kong and Macau, The Hong Kong University of Science and Technology, Clear Water Bay, New Territories, 999077, Hong Kong, China.
| | - Wenjing Fu
- Frontiers Science Center for Deep Ocean Multispheres and Earth System, and Key Laboratory of Marine Chemistry Theory and Technology, Ocean University of China, Qingdao, 266100, China
| | - Wenzhao Liang
- Department of Ocean Science and Center for Ocean Research in Hong Kong and Macau, The Hong Kong University of Science and Technology, Clear Water Bay, New Territories, 999077, Hong Kong, China
| | - Penghui Li
- School of Marine Sciences, Sun Yat-Sen University, Zhuhai, 519082, China; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519080, China
| | - Kai Wang
- Department of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Lixin Zhang
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin, 300072, China
| | - Kejun Dong
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin, 300072, China
| | - Si-Liang Li
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin, 300072, China
| | - Sheng Xu
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin, 300072, China
| | - Ding He
- Department of Ocean Science and Center for Ocean Research in Hong Kong and Macau, The Hong Kong University of Science and Technology, Clear Water Bay, New Territories, 999077, Hong Kong, China; State Key Laboratory of Marine Pollution, City University of Hong Kong, Tat Chee Avenue, Kowloon, 999077, Hong Kong, China.
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Zhang Z, Lou S, Liu S, Zhou X, Zhou F, Yang Z, Chen S, Zou Y, Radnaeva LD, Nikitina E, Fedorova IV. Potential risk assessment and occurrence characteristic of heavy metals based on artificial neural network model along the Yangtze River Estuary, China. Environ Sci Pollut Res Int 2024:10.1007/s11356-024-33400-z. [PMID: 38648002 DOI: 10.1007/s11356-024-33400-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Accepted: 04/16/2024] [Indexed: 04/25/2024]
Abstract
Pollution from heavy metals in estuaries poses potential risks to the aquatic environment and public health. The complexity of the estuarine water environment limits the accurate understanding of its pollution prediction. Field observations were conducted at seven sampling sites along the Yangtze River Estuary (YRE) during summer, autumn, and winter 2021 to analyze the concentrations of seven heavy metals (As, Cd, Cr, Pb, Cu, Ni, Zn) in water and surface sediments. The order of heavy metal concentrations in water samples from highest to lowest was Zn > As > Cu > Ni > Cr > Pb > Cd, while that in surface sediments samples was Zn > Cr > As > Ni > Pb > Cu > Cd. Human health risk assessment of the heavy metals in water samples indicated a chronic and carcinogenic risk associated with As. The risks of heavy metals in surface sediments were evaluated using the geo-accumulation index (Igeo) and potential ecological risk index (RI). Among the seven heavy metals, As and Cd were highly polluted, with Cd being the main contributor to potential ecological risks. Principal component analysis (PCA) was employed to identify the sources of the different heavy metals, revealing that As originated primarily from anthropogenic emissions, while Cd was primarily from atmospheric deposition. To further analyze the influence of water quality indicators on heavy metal pollution, an artificial neural network (ANN) model was utilized. A modified model was proposed, incorporating biochemical parameters to predict the level of heavy metal pollution, achieving an accuracy of 95.1%. This accuracy was 22.5% higher than that of the traditional model and particularly effective in predicting the maximum 20% of values. Results in this paper highlight the pollution of As and Cd along the YRE, and the proposed model provides valuable information for estimating heavy metal pollution in estuarine water environments, facilitating pollution prevention efforts.
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Affiliation(s)
- Zhirui Zhang
- Department of Hydraulic Engineering, Tongji University, Shanghai, 200092, China
| | - Sha Lou
- Department of Hydraulic Engineering, Tongji University, Shanghai, 200092, China.
- Key Laboratory of Yangtze River Water Environment, Ministry of Education, Tongji University, Shanghai, 200092, China.
| | - Shuguang Liu
- Department of Hydraulic Engineering, Tongji University, Shanghai, 200092, China
- Key Laboratory of Yangtze River Water Environment, Ministry of Education, Tongji University, Shanghai, 200092, China
| | - Xiaosheng Zhou
- Department of Hydraulic Engineering, Tongji University, Shanghai, 200092, China
| | - Feng Zhou
- Department of Hydraulic Engineering, Tongji University, Shanghai, 200092, China
| | - Zhongyuan Yang
- Department of Hydraulic Engineering, Tongji University, Shanghai, 200092, China
| | - Shizhe Chen
- Department of Hydraulic Engineering, Tongji University, Shanghai, 200092, China
| | - Yuwen Zou
- Department of Hydraulic Engineering, Tongji University, Shanghai, 200092, China
| | - Larisa Dorzhievna Radnaeva
- Laboratory of Chemistry of Natural Systems, Baikal Institute of Nature Management of Siberian Branch of the Russian Academy of Sciences, Ulan-Ude, Republic of Buryatia, Russia
| | - Elena Nikitina
- Laboratory of Chemistry of Natural Systems, Baikal Institute of Nature Management of Siberian Branch of the Russian Academy of Sciences, Ulan-Ude, Republic of Buryatia, Russia
| | - Irina Viktorovna Fedorova
- Institute of Earth Sciences, Saint Petersburg State University, 7-9 Universitetskaya Embankment, 199034, St Petersburg, Russia
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Xu Q, Liu S, Lou S, Tu J, Li X, Jin Y, Yin W, Radnaeva LD, Nikitina E, Makhinov AN, Araruna JT, Fedorova IV. Typical antibiotic resistance genes and their association with driving factors in the coastal areas of Yangtze River Estuary. Environ Sci Pollut Res Int 2024:10.1007/s11356-024-33198-w. [PMID: 38607491 DOI: 10.1007/s11356-024-33198-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 03/30/2024] [Indexed: 04/13/2024]
Abstract
The massive use of antibiotics has led to the escalation of microbial resistance in aquatic environment, resulting in an increasing concern regarding antibiotic resistance genes (ARGs), posing a serious threat to ecological safety and human health. In this study, surface water samples were collected at eight sampling sites along the Yangtze River Estuary. The seasonal and spatial distribution patterns of 10 antibiotics and target genes in two major classes (sulfonamides and tetracyclines) were analyzed. The findings indicated a high prevalence of sulfonamide and tetracycline resistance genes along the Yangtze River Estuary. Kruskal-Wallis analysis revealed significant seasonal variations in the abundance of all target genes. The accumulation of antibiotic resistance genes in the coastal area of the Yangtze River Estuary can be attributed to the influence of urban instream runoff and the discharge of effluents from wastewater treatment plants. ANISOM analysis indicated significant seasonal differences in the microbial community structure. VPA showed that environmental factors contribute the most to ARG variation. PLS-PM demonstrate that environmental factors and microbial communities pose direct effect to ARG variation. Analysis of driving factors influencing ARGs in this study may shed new insights into the mechanism of the maintenance and propagation of ARGs.
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Affiliation(s)
- Qiuhong Xu
- Department of Hydraulic Engineering, College of Civil Engineering, Tongji University, Shanghai, China
| | - Shuguang Liu
- Department of Hydraulic Engineering, College of Civil Engineering, Tongji University, Shanghai, China
- Key Laboratory of Yangtze River Water Environment, Ministry of Education, Tongji University, Shanghai, China
| | - Sha Lou
- Department of Hydraulic Engineering, College of Civil Engineering, Tongji University, Shanghai, China.
- Key Laboratory of Yangtze River Water Environment, Ministry of Education, Tongji University, Shanghai, China.
| | - Junbiao Tu
- State Key Laboratory of Marine Geology, Tongji University, Shanghai, China
| | - Xin Li
- Department of Hydraulic Engineering, College of Civil Engineering, Tongji University, Shanghai, China
| | - Yuchen Jin
- Department of Hydraulic Engineering, College of Civil Engineering, Tongji University, Shanghai, China
| | - Wenjun Yin
- State Key Laboratory of Pollution Control and Resources Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai, China
| | - Larisa Dorzhievna Radnaeva
- Laboratory of Chemistry of Natural Systems, Baikal Institute of Nature Management of Siberian Branch of the Russian Academy of Sciences, Republic of Buryatia, Russia
| | - Elena Nikitina
- Laboratory of Chemistry of Natural Systems, Baikal Institute of Nature Management of Siberian Branch of the Russian Academy of Sciences, Republic of Buryatia, Russia
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Huang W, Wei L, Yang Y, Sun J, Ding L, Wu X, Zheng L, Huang Q. Estuarine environmental flow assessment based on the flow-ecological health index relation model: a case study in Yangtze River Estuary, China. Environ Monit Assess 2024; 196:348. [PMID: 38446276 DOI: 10.1007/s10661-024-12487-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 02/19/2024] [Indexed: 03/07/2024]
Abstract
Environmental flow (e-flow) is the water demand of one given ecosystem, which can become the flow regulation target for protection and restoration of river or estuarine ecosystems. In this study, an e-flow assessment based on the flow-ecological health index (EHI) relation model was conducted to improve ecosystem health of the Yangtze River Estuary (YRE). Monitoring data of hydrology, biology, and water environment in the last decades were used for the model establishment. For the description of the YRE ecosystem, an EHI system was developed by cumulative frequency distribution curves and adaption of national standards. After preprocessing original flow values into proportional flow values, the generalized additive model and Monte Carlo random sampling were used for the establishment of the flow-EHI relation model. From the model calculation, the e-flow assessment results were that, in proportional flow values, the suitable flow range was 1.05-1.35, and the optimum flow range was 1.15-1.25 (flows in Yangtze River Datong Station). For flow regulation in two crucial periods, flows of 42,630-65,545 m3/s or over 14,675 m3/s are needed for the suitable flow of YRE in summer (June-August) or January, respectively. An adaptive management framework of ecological health-based estuarine e-flow assessment for YRE was contrived due to the limitation of current established model when facing the extreme drought in summer, 2022. The methodology and framework in this study are expected to provide valuable management and data support for the sustainable development of estuarine ecosystems and to bring inspiration for further studies at even continental or global levels.
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Affiliation(s)
- Weizheng Huang
- Key Laboratory of Yangtze River Water Environment of the Ministry of Education, College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China
| | - Lai Wei
- Key Laboratory of Yangtze River Water Environment of the Ministry of Education, College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China
| | - Ya Yang
- Key Laboratory of Yangtze River Water Environment of the Ministry of Education, College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China
| | - Jinnuo Sun
- Key Laboratory of Yangtze River Water Environment of the Ministry of Education, College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China
| | - Ling Ding
- Shanghai Investigation, Design and Research Institute Co., Ltd. (SIDRI), Shanghai, 200335, China
| | - Xinghua Wu
- Research Center for Eco-Environmental Engineering, China Three Gorges Corporation (CTG), Beijing, 100038, China
| | - Leifu Zheng
- Shanghai Investigation, Design and Research Institute Co., Ltd. (SIDRI), Shanghai, 200335, China
| | - Qinghui Huang
- Key Laboratory of Yangtze River Water Environment of the Ministry of Education, College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China.
- Shanghai Institute of Pollution Control and Ecological Security, Shanghai, 200092, China.
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5
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Chen ZL, Zhang H, Yi Y, He Y, Li P, Wang Y, Wang K, Yan Z, He C, Shi Q, He D. Dissolved organic matter composition and characteristics during extreme flood events in the Yangtze River Estuary. Sci Total Environ 2024; 914:169827. [PMID: 38190911 DOI: 10.1016/j.scitotenv.2023.169827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 12/19/2023] [Accepted: 12/30/2023] [Indexed: 01/10/2024]
Abstract
Understanding the molecular composition and fate of dissolved organic matter (DOM) during transport in estuaries is essential for gaining a comprehensive understanding of its role within the global biogeochemical cycle. In 2020, a catastrophic flood occurred in the Yangtze River basin. It is currently unknown whether differences in hydrologic conditions due to extreme flooding will significantly impact the estuarine to oceanic DOM cycle. We determined the DOM composition in the Yangtze River estuary (YRE) to the East China Sea by using Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) during the high discharge and the flood period (monthly average discharge was 1.2 times higher) on the same trajectory. Our study found that the composition of DOM is more diverse, and more DOM molecules were introduced to the YRE during the flood, especially in the freshwater end member. The result revealed that the DOM was significantly labile and unstable during the flood period. A total of 1840 unique molecular formulas were identified during the flood period, most of which were CHON, CHONS, and CHOS compounds, most likely resulting from anthropogenic inputs from upstream. Only 194 of these molecules were detected in the seawater end member after transporting to the sea, suggesting that the YRE served as a 'filter' of DOM. However, the flood enhances the transport of a group of terrigenous DOM, that is resistant to photodegradation and biodegradation. As a result, YRE experienced ~1.6 times higher terrigenous DOC flux than high discharge period. Considering the increased frequency of future floods, our study provides a preliminary basis for further research on how floods affect the composition and characteristics of estuarine DOM. With the help of the FT-ICR MS technique, we can now better understand the dynamic of DOM composition and characteristics in large river estuaries.
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Affiliation(s)
- Zhao Liang Chen
- Department of Ocean Science and Center for Ocean Research in Hong Kong and Macau, The Hong Kong University of Science and Technology, Clear Water Bay, New Territories, 999077, Hong Kong
| | - Haibo Zhang
- National Marine Environmental Monitoring Center, Dalian, Liaoning 116023, China.
| | - Yuanbi Yi
- Department of Ocean Science and Center for Ocean Research in Hong Kong and Macau, The Hong Kong University of Science and Technology, Clear Water Bay, New Territories, 999077, Hong Kong
| | - Yuhe He
- State Key Laboratory of Marine Pollution, City University of Hong Kong, Tat Chee Avenue, Kowloon, 999077, Hong Kong
| | - Penghui Li
- School of Marine Sciences, Sun Yat-Sen University, Zhuhai, Guangdong 519082, China; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, Guangdong 519080, China
| | - Yuntao Wang
- State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, Zhejiang 310012, China
| | - Kai Wang
- Department of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Zhenwei Yan
- Department of Ocean Science and Center for Ocean Research in Hong Kong and Macau, The Hong Kong University of Science and Technology, Clear Water Bay, New Territories, 999077, Hong Kong
| | - Chen He
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Changping, Beijing 102249, China
| | - Quan Shi
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Changping, Beijing 102249, China
| | - Ding He
- Department of Ocean Science and Center for Ocean Research in Hong Kong and Macau, The Hong Kong University of Science and Technology, Clear Water Bay, New Territories, 999077, Hong Kong; State Key Laboratory of Marine Pollution, City University of Hong Kong, Tat Chee Avenue, Kowloon, 999077, Hong Kong; State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, Zhejiang 310012, China.
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Xian WD, Ding J, Chen J, Qu W, Cao P, Tang C, Liu X, Zhang Y, Li JL, Wang P, Li WJ, Wang J. Distinct Assembly Processes Structure Planktonic Bacterial Communities Among Near- and Offshore Ecosystems in the Yangtze River Estuary. Microb Ecol 2024; 87:42. [PMID: 38356037 DOI: 10.1007/s00248-024-02350-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 01/17/2024] [Indexed: 02/16/2024]
Abstract
The estuarine system functions as natural filters due to its ability to facilitate material transformation, planktonic bacteria play a crucial role in the cycling of complex nutrients and pollutants within estuaries, and understanding the community composition and assembly therein is crucial for comprehending bacterial ecology within estuaries. Despite extensive investigations into the composition and community assembly of two bacterial fractions (free-living, FLB; particle-attached, PAB), the process by which bacterioplankton communities in these two habitats assemble in the nearshore and offshore zones of estuarine ecosystems remains poorly understood. In this study, we conducted sampling in the Yangtze River Estuary (YRE) to investigate potential variations in the composition and community assembly of FLB and PAB in nearshore and offshore regions. We collected 90 samples of surface, middle, and bottom water from 16 sampling stations and performed 16S rRNA gene amplicon analysis along with environmental factor measurements. The results unveiled that the nearshore communities demonstrated significantly greater species richness and Chao1 indices compared to the offshore communities. In contrast, the nearshore communities had lower values of Shannon and Simpson indices. When compared to the FLB, the PAB exhibit a higher level of biodiversity and abundance. However, no distinct alpha and beta diversity differences were observed between the bottom, middle, and surface water layers. The community assembly analysis indicated that nearshore communities are predominantly shaped by deterministic processes, particularly due to heterogeneous selection of PAB; In contrast, offshore communities are governed more by stochastic processes, largely due to homogenizing dispersal of FLB. Consequently, the findings of this study demonstrate that nearshore and PAB communities exhibit higher levels of species diversity, while stochastic and deterministic processes exert distinct influences on communities among near- and offshore regions. This study further sheds new light on our understanding of the mechanisms governing bacterial communities in estuarine ecosystems.
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Affiliation(s)
- Wen-Dong Xian
- Marine Microorganism Ecological & Application Lab, Zhejiang Ocean University, Haida South Rd No. 1, Dinghai, Zhoushan, 316000, China
| | - Junjie Ding
- Marine Microorganism Ecological & Application Lab, Zhejiang Ocean University, Haida South Rd No. 1, Dinghai, Zhoushan, 316000, China
| | - Jinhui Chen
- Marine Microorganism Ecological & Application Lab, Zhejiang Ocean University, Haida South Rd No. 1, Dinghai, Zhoushan, 316000, China
| | - Wu Qu
- Marine Microorganism Ecological & Application Lab, Zhejiang Ocean University, Haida South Rd No. 1, Dinghai, Zhoushan, 316000, China
| | - Pinglin Cao
- Marine Microorganism Ecological & Application Lab, Zhejiang Ocean University, Haida South Rd No. 1, Dinghai, Zhoushan, 316000, China
| | - Chunyu Tang
- Marine Microorganism Ecological & Application Lab, Zhejiang Ocean University, Haida South Rd No. 1, Dinghai, Zhoushan, 316000, China
| | - Xuezhu Liu
- Marine Microorganism Ecological & Application Lab, Zhejiang Ocean University, Haida South Rd No. 1, Dinghai, Zhoushan, 316000, China
| | - Yiying Zhang
- Marine Microorganism Ecological & Application Lab, Zhejiang Ocean University, Haida South Rd No. 1, Dinghai, Zhoushan, 316000, China
| | - Jia-Ling Li
- State Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory of Plant Resources and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Life Sciences, Sun Yat-Sen University, Guangzhou, 510275, Guangdong, China
| | - Pandeng Wang
- State Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory of Plant Resources and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Life Sciences, Sun Yat-Sen University, Guangzhou, 510275, Guangdong, China
| | - Wen-Jun Li
- State Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory of Plant Resources and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Life Sciences, Sun Yat-Sen University, Guangzhou, 510275, Guangdong, China
| | - Jianxin Wang
- Marine Microorganism Ecological & Application Lab, Zhejiang Ocean University, Haida South Rd No. 1, Dinghai, Zhoushan, 316000, China.
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Qu W, Zuo Y, Zhang Y, Wang J. Structure and assembly process of fungal communities in the Yangtze River Estuary. Front Microbiol 2024; 14:1220239. [PMID: 38260888 PMCID: PMC10800840 DOI: 10.3389/fmicb.2023.1220239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 12/11/2023] [Indexed: 01/24/2024] Open
Abstract
Marine fungi are essential for the ecological function of estuarine ecosystems. However, limited studies have reported on the structure and assembly pattern of the fungal communities in estuaries. The purpose of this study is to reveal the structure and the ecological process of the fungal community in the Yangtze River Estuary (YRE) by using the amplicon sequencing method. Phyla of Ascomycota, Basidiomycota, and Chytridiomycota were dominant in the seawater and sediment samples from YRE. The null model analysis, community-neutral community model (NCM), and phylogenetic normalized stochasticity ratio (pNST) showed that the stochastic process dominated the assembly of fungal communities in YRE. Drift and homogeneous dispersal were the predominant stochastic processes for the fungal community assembly in seawater and sediment samples, respectively. The co-occurrence network analysis showed that fungal communities were more complex and closely connected in the sediment than in the seawater samples. Phyla Ascomycota, Basidiomycota, and Mucoromycota were the potential keystone taxa in the network. These findings demonstrated the importance of stochastic processes for the fungal community assembly, thereby widening our knowledge of the community structure and dynamics of fungi for future study and utilization in the YRE ecosystem.
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Affiliation(s)
| | | | | | - Jianxin Wang
- Marine Science and Technology College, Zhejiang Ocean University, Zhoushan, China
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Li P, Liang W, Zhou Y, Yi Y, He C, Shi Q, He D. Hypoxia diversifies molecular composition of dissolved organic matter and enhances preservation of terrestrial organic carbon in the Yangtze River Estuary. Sci Total Environ 2024; 906:167661. [PMID: 37813254 DOI: 10.1016/j.scitotenv.2023.167661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 10/05/2023] [Accepted: 10/06/2023] [Indexed: 10/11/2023]
Abstract
Dissolved organic matter (DOM) is an essential component of the global carbon cycle, and estuaries link the rivers and the oceans, thus playing important roles in land-ocean DOM transformation and transport. However, the effects of hypoxia on DOM transport and fate in estuaries and coastal oceans remains poorly understood. To address this gap, we characterized the molecular composition of DOM in bottom water (BW) and sediment porewater (PW) at hypoxic and non-hypoxic sites in the Yangtze River Estuary (YRE) using ultra-high-resolution Fourier transform ion cyclotron resonance mass spectrometry. Our results showed significant differences in DOM molecular composition between hypoxic and non-hypoxic areas for both BW and PW. Specifically, DOM in hypoxic sites was more recalcitrant than that in non-hypoxic areas for both BW and PW, with lower H/C, and higher O/C, double bond equivalent, and modified aromaticity index. The presence of higher polyphenols, and black carbon in hypoxic areas suggested that hypoxic conditions could facilitate the preservation of terrestrial organic matter. Furthermore, we identified a much higher number of hypoxia-unique formulas than ocean-non-hypoxia-unique formulas, indicating that hypoxia could diversify the DOM pool. Within hypoxia-unique formulas for PW, both biologically labile (unsaturated aliphatic compounds and peptides) and recalcitrant formulas (carboxyl-rich alicyclic molecules) were found, suggesting that hypoxia could facilitate the preservation of labile formulas and the production of recalcitrant formulas. In addition, we formulated that the sulfurization is more important in PW than BW in hypoxic areas based on the higher dissolved organic sulfur (DOS) abundance and larger number of hypoxia-only formulas in hypoxic PW, and also the precursor analysis results. Overall, our study provides insights into the effect of hypoxia on the molecular characteristics and preservation of DOM in estuaries and coastal oceans, highlighting the importance of considering hypoxia in understanding the biogeochemical processes of these ecosystems.
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Affiliation(s)
- Penghui Li
- School of Marine Sciences, Sun Yat-sen University, Zhuhai 519082, China; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China; Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering, Zhuhai 519082, China
| | - Wenzhao Liang
- Department of Ocean Science, Center for Ocean Research in Hong Kong and Macau, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Yuping Zhou
- School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao, China
| | - Yuanbi Yi
- Department of Ocean Science, Center for Ocean Research in Hong Kong and Macau, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Chen He
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Changping District, Beijing 102249, China
| | - Quan Shi
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Changping District, Beijing 102249, China
| | - Ding He
- Department of Ocean Science, Center for Ocean Research in Hong Kong and Macau, The Hong Kong University of Science and Technology, Hong Kong, China; State Key Laboratory of Marine Pollution, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China.
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Liu S, Li X, Lou S, Xu Q, Jin Y, Dorzhievna RL, Elena N, Nikolavich MA, Tavares AJ, Viktorovna FI. Occurrence of sulfonamides and tetracyclines in the coastal areas of the Yangtze River (China) Estuary. Environ Sci Pollut Res Int 2023; 30:118567-118587. [PMID: 37917269 DOI: 10.1007/s11356-023-30698-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 10/23/2023] [Indexed: 11/04/2023]
Abstract
Antibiotics have attracted global attention due to the ecological risks to environment. In this paper, solid-phase extraction and ultra-performance liquid chromatography triple quadrupole mass spectrometry (LC-MS/MS) were utilized to analyze the fugitive characteristics of 10 antibiotics of sulfonamides (sulfadiazine, sulfamethazine, sulfadimidine, sulfathiazole, sulfapyridine, sulfamethoxazole) and tetracyclines (tetracycline, oxytetracycline, chlortetracycline and doxycycline) in the coastal waters and surfece sediments of the Yangtze River Estuary and the ecological risks of antibiotics in water were estimated using ecological risk assessment method. The results have showed that 7 of the 10 antibiotics were detected in the water, with total concentrations ranging from 0.652 to 434.47 ng/L. 8 antibiotics were detected in the sediment, with total concentrations ranging from 0.091 to 499.23 ng/g. The main antibiotic species detected in the sediment and water varied seasonally. Higher concentrations in spatially distributed areas where rivers meet and where human activities have a more significant impact. The ecological risks were found to be higher in spring and autumn than those in winter and summer. Spatial variation in individual microbial communities was not evident in the sediments. The relationship between antibiotics and microorganisms in the environment was predominantly positive. Physical and chemical factors were significantly correlated for both antibiotics and microbial communities. This study can provide research ideas for other types of antibiotics and provide a basis for the prevention of antimicrobial resistance (AMR).
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Affiliation(s)
- Shuguang Liu
- College of Civil Engineering, Tongji University, Shanghai, China
- Key Laboratory of Yangtze River Water Environment, Ministry of Education, Tongji University, Shanghai, China
| | - Xin Li
- College of Civil Engineering, Tongji University, Shanghai, China
- Guangdong South China Hydropower Hi-Tech Development Co., The Pearl River Hydraulic Research Institute, guangzhou, China, 510000
| | - Sha Lou
- College of Civil Engineering, Tongji University, Shanghai, China.
- Key Laboratory of Yangtze River Water Environment, Ministry of Education, Tongji University, Shanghai, China.
| | - Qiuhong Xu
- College of Civil Engineering, Tongji University, Shanghai, China
| | - Yuchen Jin
- College of Civil Engineering, Tongji University, Shanghai, China
| | - Radnaeva Larisa Dorzhievna
- Laboratory of Chemistry of Natural Systems, Baikal Institute of Nature Management of Siberian Branch of the Russian Academy of Sciences, Republic of Buryatia, Russia
| | - Nikitina Elena
- Laboratory of Chemistry of Natural Systems, Baikal Institute of Nature Management of Siberian Branch of the Russian Academy of Sciences, Republic of Buryatia, Russia
| | | | | | - Fedorova Irina Viktorovna
- Institute of Earth Sciences, Saint Petersburg State University, 7-9 Universitetskaya Embankment, St Petersburg, 199034, Russia
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10
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Zhao ML, Chen Y, Yang GP, Chen R. Simultaneous determination of benzothiazoles, benzotriazoles, and benzotriazole UV absorbers by solid-phase extraction-gas chromatography-mass spectrometry. Environ Sci Pollut Res Int 2023; 30:45315-45330. [PMID: 36702982 DOI: 10.1007/s11356-023-25503-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 01/18/2023] [Indexed: 06/18/2023]
Abstract
Benzotriazoles (BTRs), benzothiazoles (BTHs), and benzotriazole ultraviolet absorbers (BUVs) are common products in plastic rubber and personal care products. Due to their toxicity and bioaccumulation, they have been identified as emerging contaminants (ECs) in the environment. Solid-phase microextraction (SPME) and solid-phase extraction (SPE) combined with gas chromatography-mass spectrometry (GC-MS) were used for the enrichment and detection of the contaminants in seawater and sediment, respectively. The conditions of SPE and SPME were optimized in terms of material, temperature, time, pH, ionic strength, extraction solvent, and elution solvent. Although SPME requires a small sample volume, it is not reliable for the extraction efficiency and reproducibility of BTHs, BTRs, and BUVs in seawater. However, the precision of SPE-GC-MS for the determination of BTHs, BTRs, and BUVs was around 10%, with recoveries of 67.40-102.3% and 77.35-101.8% in seawater and sediment, respectively. The limits of detection of 14 contaminants in seawater and sediment were 0.03-0.47 ng/L and 0.01-0.58 ng/g, respectively. Secondly, BTHs, BTRs, and BUVs were detected with low ecological risk when SPE-GC-MS was applied to the analysis of seawater and sediment samples from the Yangtze estuary and its adjacent areas. The SPE-GC-MS was highly precise with lower detection limits relative to previous studies and thus was able to meet the requirements for the detection of BTHs, BTRs, and BUVs in seawater and sediments.
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Affiliation(s)
- Ming-Liang Zhao
- Frontiers Science Center for Deep Ocean Multispheres and Earth System, and Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China, Qingdao, 266100, China
| | - Yan Chen
- Frontiers Science Center for Deep Ocean Multispheres and Earth System, and Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China, Qingdao, 266100, China
| | - Gui-Peng Yang
- Frontiers Science Center for Deep Ocean Multispheres and Earth System, and Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China, Qingdao, 266100, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China
- Institute of Marine Chemistry, Ocean University of China, Qingdao, 266100, China
| | - Rong Chen
- Frontiers Science Center for Deep Ocean Multispheres and Earth System, and Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China, Qingdao, 266100, China.
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11
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Cao XY, Ni YZ, Li J, Li L, Zhao YL, Yang GP. Sorption and distribution performance of organophosphorus compound (Adenosine 5'-monophosphate)on marine sediments. Environ Pollut 2022; 311:119993. [PMID: 35995290 DOI: 10.1016/j.envpol.2022.119993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 07/18/2022] [Accepted: 08/14/2022] [Indexed: 06/15/2023]
Abstract
In this paper, the kinetics and thermodynamics of Adenosine 5'-monophosphate (AMP) sorption on the sediments obtained from the Yangtze River Estuary and adjacent areas were studied, in combination with the effects of the sediments' properties and media conditions. The kinetics curves could be described by a two-compartment first-order equation, and the equilibrium isotherms fitted well with the modified Langmuir and Freundlich models. The analysis of organic phosphorus (OP) fractions changes after sorption indicated that the contents of exchangeable or loosely sorbed PO increased most significantly. Higher organic matter (OM) of the sediments were favorable for the sorption ability. It was also found that the content of OP and OM in the sediments showed an obvious positive correlation, indicating that organic matter rather than Fe/Al oxides played an important role in the migration of OP in the Yangtze River estuary and its adjacent area. Temperature, salinity and pH of the media influenced the sorption of AMP significantly. Increase of temperature was of benefit to the sorption of AMP, which was a spontaneous and exothermic process according to the calculations of the thermodynamic parameters. The sorption capacity was higher at a moderate salinity in the range of our study. With the pH changing from 3 to 10, the sorption capacity exhibited as a "U-trend" curve.
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Affiliation(s)
- Xiao-Yan Cao
- Frontiers Science Center for Deep Ocean Multispheres and Earth System, and Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China, Qingdao, 266100, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266100, China; College of Chemistry and Chemical Engineering, Ocean University of China, Qingdao, 266100, China
| | - Yuan-Zhe Ni
- College of Chemistry and Chemical Engineering, Ocean University of China, Qingdao, 266100, China
| | - Jing Li
- College of Chemistry and Chemical Engineering, Ocean University of China, Qingdao, 266100, China
| | - Ling Li
- College of Chemistry and Chemical Engineering, Ocean University of China, Qingdao, 266100, China
| | - Yi-Lin Zhao
- College of Chemistry and Chemical Engineering, Ocean University of China, Qingdao, 266100, China
| | - Gui-Peng Yang
- Frontiers Science Center for Deep Ocean Multispheres and Earth System, and Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China, Qingdao, 266100, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266100, China; College of Chemistry and Chemical Engineering, Ocean University of China, Qingdao, 266100, China.
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12
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Shi J, Zuo Y, Qu W, Liu X, Fan Y, Cao P, Wang J. Stochastic processes shape the aggregation of free-living and particle-attached bacterial communities in the Yangtze River Estuary, China. J Basic Microbiol 2022; 62:1514-1525. [PMID: 35835725 DOI: 10.1002/jobm.202100666] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 06/16/2022] [Accepted: 06/26/2022] [Indexed: 11/05/2022]
Abstract
An estuary plays an important role in material and energy exchange between the land and sea, where complex physical, chemical, and biological processes occur. Here, we investigated the assembly processes of free-living (FL) and particle-associated (PA) bacterial communities in two seawater layers at five stations in the Yangtze River Estuary (YRE) by using 16S rRNA sequencing methods. The results indicated that Proteobacteria was the most abundant phylum in the YRE. The α-diversity of PA community was significantly higher than FL community, and analysis of similarity showed significantly different (Global R = 0.2809, p < 0.005). RDA revealed that phosphate (PO4 3- ) was significantly correlated with PA bacterial community abundance (p < 0.05). An ecological null model showed that both PA and FL bacterial communities were mainly influenced by stochastic processes (PA: 100%, FL: 70%), which PA attached to nutrient particles and are less affected by environmental filtration. Dispersal limitation (50%) was the main assembly process of the PA community, while homogeneous selection (30%) and drift (30%) were important processes in the FL community assembly. The available substrate for colonization limits the transformation from FL to PA bacteria. This study would improve our understanding of FL and PA bacterial community structure and factors affecting assembly process in estuarine environments.
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Affiliation(s)
- Jing Shi
- Marine Microorganism Ecological & Application Lab, Zhejiang Ocean University, Zhejiang, China
| | - Yaqiang Zuo
- Marine Microorganism Ecological & Application Lab, Zhejiang Ocean University, Zhejiang, China
| | - Wu Qu
- Marine Microorganism Ecological & Application Lab, Zhejiang Ocean University, Zhejiang, China
| | - Xuezhu Liu
- Marine Microorganism Ecological & Application Lab, Zhejiang Ocean University, Zhejiang, China
| | - Yingping Fan
- Marine Microorganism Ecological & Application Lab, Zhejiang Ocean University, Zhejiang, China
| | - Pinglin Cao
- Marine Microorganism Ecological & Application Lab, Zhejiang Ocean University, Zhejiang, China
| | - Jianxin Wang
- Marine Microorganism Ecological & Application Lab, Zhejiang Ocean University, Zhejiang, China
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Ji B, Liu Y, Wu Y, Liang Y, Gao S, Zeng X, Yao P, Yu Z. Organophosphate esters and synthetic musks in the sediments of the Yangtze River Estuary and adjacent East China Sea: Occurrence, distribution, and potential ecological risks. Mar Pollut Bull 2022; 179:113661. [PMID: 35462103 DOI: 10.1016/j.marpolbul.2022.113661] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 03/30/2022] [Accepted: 04/11/2022] [Indexed: 06/14/2023]
Abstract
Occurrence, distribution, and potential ecological risks of ten organophosphate esters (OPEs) and nine synthetic musks (SMs) were investigated in sediments from the Yangtze River Estuary (YRE) and adjacent East China Sea (ECS). The total concentrations of OPEs in the surface sediments ranged from 0.977 to 19.0 ng/g dry weight (dw) with tris(2-chloro-propyl) phosphate being the dominant component. Total concentrations of SMs ranged from 0.176 to 7.25 ng/g dw, with 1,3,4,6,7,8-hexahydro-4,6,6,7,8,8-hexamethylcyclopenta(g)-2-benzopyran and 7-acetyl-1,1,3,4,4,6-hexamethyl-1,2,3,4-tetrahydronaphthalene as the dominant SMs. Higher sedimentary concentrations of ΣOPEs and ΣSMs were found in the river mouths of the YRE, inter face of Hangzhou Bay, and mud area of the ECS; the results suggested that terrestrial discharge might be the main source of OPEs and SMs in the studied region. Risk assessment revealed that low ecological risks were posed by OPEs, and limited to low ecological risks were posed by SMs.
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Affiliation(s)
- Bingjing Ji
- State Key Laboratory of Organic Geochemistry, Guangdong Key Laboratory of Environment and Resources, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China; CAS Center for Excellence in Deep Earth Science, Guangzhou 510640, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yi Liu
- Nanjing University & Yancheng Environmental Detecting Technology Co., Ltd, Yancheng, 224000, China
| | - Yang Wu
- State Key Laboratory of Organic Geochemistry, Guangdong Key Laboratory of Environment and Resources, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China; CAS Center for Excellence in Deep Earth Science, Guangzhou 510640, China
| | - Yi Liang
- State Key Laboratory of Organic Geochemistry, Guangdong Key Laboratory of Environment and Resources, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China; CAS Center for Excellence in Deep Earth Science, Guangzhou 510640, China
| | - Shutao Gao
- State Key Laboratory of Organic Geochemistry, Guangdong Key Laboratory of Environment and Resources, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China; CAS Center for Excellence in Deep Earth Science, Guangzhou 510640, China
| | - Xiangying Zeng
- State Key Laboratory of Organic Geochemistry, Guangdong Key Laboratory of Environment and Resources, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China; CAS Center for Excellence in Deep Earth Science, Guangzhou 510640, China.
| | - Peng Yao
- Frontiers Science Center for Deep Ocean Multispheres and Earth System, and Key Laboratory of Marine Chemistry Theory and, Technology, Ministry of Education, Ocean University of China, Qingdao 266100, China
| | - Zhiqiang Yu
- State Key Laboratory of Organic Geochemistry, Guangdong Key Laboratory of Environment and Resources, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China; CAS Center for Excellence in Deep Earth Science, Guangzhou 510640, China
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14
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Zhou Y, Zhao C, He C, Li P, Wang Y, Pang Y, Shi Q, He D. Characterization of dissolved organic matter processing between surface sediment porewater and overlying bottom water in the Yangtze River Estuary. Water Res 2022; 215:118260. [PMID: 35294911 DOI: 10.1016/j.watres.2022.118260] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 03/03/2022] [Accepted: 03/05/2022] [Indexed: 06/14/2023]
Abstract
Dissolved organic matter (DOM) exchange in the sediment-water interface of estuaries is essential for the global elemental cycle. To clarify the interface DOM processing, this study applies optical techniques and ultrahigh-resolution mass spectrometry to assess DOM composition of surface sediment porewater and bottom (overlying) water across the Yangtze River Estuary (YRE). Results suggested that DOM exchange in the sediment-water interface mainly followed from sediment porewater to bottom water driven by a significant dissolved organic carbon concentration gradient and hydrodynamic force. We also characterized two porewater DOM sources, including microbial production and byproducts of processed sediments. High microbial activities resulted in the enrichment of protein-like fluorescent components and N-bearing compounds in porewater, potentially decreasing the oxygen concentration of bottom water due to the high lability. And the deamination of N-bearing compounds in the sediment-water interface could likely serve as a N-bearing nutrient source to bottom water. Moreover, due to sediment-specific features in different areas driven by hydrologic sorting and local phytoplankton supply, porewater DOM of muddy areas accumulated more aromatic substances from the degradation of terrestrial organic matter. The release and oxic transformation of oxygen-deficient aromatic compounds could contribute to the refractory carbon pool of estuarine water (carboxyl-rich alicyclic molecules, CRAM), modulating the quality of organic carbon mobilized from the land to the coastal ocean. Considering strong hydrodynamic force in numerous estuaries worldwide, DOM exchange and processing at the sediment-water interface has a meaningful influence on the biogeochemistry of estuarine water columns, which warrants further studies.
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Affiliation(s)
- Yuping Zhou
- School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao 266525, China; Organic Geochemistry Unit, Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, School of Earth Sciences, Zhejiang University, Hangzhou 310058, China
| | - Chen Zhao
- Organic Geochemistry Unit, Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, School of Earth Sciences, Zhejiang University, Hangzhou 310058, China
| | - Chen He
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Changping District, Beijing 102249, China
| | - Penghui Li
- School of Marine Sciences, Sun Yat-sen University, Zhuhai 519082, China; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China
| | - Yuntao Wang
- State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
| | - Yu Pang
- Organic Geochemistry Unit, Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, School of Earth Sciences, Zhejiang University, Hangzhou 310058, China
| | - Quan Shi
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Changping District, Beijing 102249, China
| | - Ding He
- Department of Ocean Science and Hong Kong Branch of the Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), The Hong Kong University of Science and Technology, Hong Kong SAR, China; Organic Geochemistry Unit, Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, School of Earth Sciences, Zhejiang University, Hangzhou 310058, China; State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China.
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15
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Ji B, Wu Y, Liang Y, Gao S, Zeng X, Yao P, Yu Z. Occurrence, congener patterns, and potential ecological risk of chlorinated paraffins in sediments of Yangtze River Estuary and adjacent East China Sea. Environ Monit Assess 2022; 194:329. [PMID: 35384557 DOI: 10.1007/s10661-022-09969-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 03/19/2022] [Indexed: 06/14/2023]
Abstract
Chlorinated paraffins (CPs) are high production volume chemicals with immense scientific research interest due to their wide distribution, persistence, toxicity, and bioaccumulation potential. In this study, 87 surface sediments were collected from the Yangtze River Estuary (YRE) and the adjacent East China Sea (ECS). We investigated the concentrations, spatial distribution, and composition profiles of short-chain chlorinated paraffins (SCCPs) and medium-chain chlorinated paraffins (MCCPs) using ultra-high-performance liquid chromatography coupled with Orbitrap Fusion Tribrid mass spectrometry. The sedimentary concentrations of SCCPs and MCCPs ranged from 2.85 to 94.7 ng·g-1 (median 13.7 ng·g-1) and 3.33 to 77.8 ng·g-1 (median 13.3 ng·g-1), respectively. Higher CP concentrations were found in YRE sediments. The values decreased away from the location, implying a direct influence of the Yangtze River. The SCCP concentrations were higher than those of MCCPs in most sediment samples. Overall, the predominant homologs were C13Cl5-7 and C14Cl6-8 for MCCPs and SCCPs, respectively. Overall, the sediment-dwelling organisms in the region are susceptible to low ecological risks.
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Affiliation(s)
- Bingjing Ji
- State Key Laboratory of Organic Geochemistry, Guangdong Key Laboratory of Environment and Resources, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China
- CAS Center for Excellence in Deep Earth Science, Guangzhou, 510640, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yang Wu
- State Key Laboratory of Organic Geochemistry, Guangdong Key Laboratory of Environment and Resources, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China
- CAS Center for Excellence in Deep Earth Science, Guangzhou, 510640, China
| | - Yi Liang
- State Key Laboratory of Organic Geochemistry, Guangdong Key Laboratory of Environment and Resources, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China
- CAS Center for Excellence in Deep Earth Science, Guangzhou, 510640, China
| | - Shutao Gao
- State Key Laboratory of Organic Geochemistry, Guangdong Key Laboratory of Environment and Resources, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China
- CAS Center for Excellence in Deep Earth Science, Guangzhou, 510640, China
| | - Xiangying Zeng
- State Key Laboratory of Organic Geochemistry, Guangdong Key Laboratory of Environment and Resources, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China.
- CAS Center for Excellence in Deep Earth Science, Guangzhou, 510640, China.
| | - Peng Yao
- Frontiers Science Center for Deep Ocean Multispheres and Earth System, Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China, Qingdao, 266100, China
| | - Zhiqiang Yu
- State Key Laboratory of Organic Geochemistry, Guangdong Key Laboratory of Environment and Resources, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China
- CAS Center for Excellence in Deep Earth Science, Guangzhou, 510640, China
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Zhang X, Cao F, Huang Y, Tang J. Variability of dissolved organic matter in two coastal wetlands along the Changjiang River Estuary: Responses to tidal cycles, seasons, and degradation processes. Sci Total Environ 2022; 807:150993. [PMID: 34662620 DOI: 10.1016/j.scitotenv.2021.150993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 10/09/2021] [Accepted: 10/11/2021] [Indexed: 06/13/2023]
Abstract
Dissolved organic matter (DOM) in the coastal tidal marsh-estuary systems are complex mixtures with different source materials that vary with hydrological regimes, seasons, and environmental conditions and are modified by removal processes including photochemical and microbial degradations. Here, monthly surveys of DOM and its optical properties (i.e., absorbance and fluorescence of DOM) covering a complete semi-diurnal tidal cycle were conducted in two coastal marshes with distinct hydrological regimes (i.e., one freshwater and one brackish marsh) in the Changjiang River Estuary (CRE). Four fluorescent components were identified by excitation-emission matrix fluoresces combined with parallel factor analysis (EEMs-PARAFAC) as two terrestrial humic-like components and two autochthonous protein-like components. Results indicated that ebbing waters draining the marshes were consistently enriched with highly absorbing, more humic and highly aromatic DOM compared to the flood tidewaters. On a seasonal basis, DOM dynamics were largely modulated by the marsh productivity and the seasonal Changjiang runoff. Protein-like fluorophores, however, demonstrated a constant, less variable pattern on both the tidal and seasonal timescales. Onsite water incubation experiments with photochemical and microbial alterations revealed that photochemistry was primarily responsible for the removal of optically active components in the marsh DOM pools whereas the impact of microbes was minor. Principal component analysis (PCA) illustrated the processes regulating the DOM dynamics at the marsh-estuarine interface and allowed a clear distinction of samples between the two marshes, in addition to the samples under the influence of episodic weather events (i.e., Super Typhoon Lekima in summer 2009 and the basin-wide severe flood event occurred in summer 2020). This study underscores the importance of world large-rivers such as Changjiang on estuarine marsh DOM dynamics and also highlights the substantial heterogeneity of the marsh DOM across a river-dominated estuary.
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Affiliation(s)
- Xiaohui Zhang
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, China
| | - Fang Cao
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, China
| | - Ying Huang
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, China; Yangtze Delta Estuarine Wetland Ecosystem Observation and Research Station, Ministry of Education & Shanghai Science and Technology Committee, Shanghai, China
| | - Jianwu Tang
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, China; Yangtze Delta Estuarine Wetland Ecosystem Observation and Research Station, Ministry of Education & Shanghai Science and Technology Committee, Shanghai, China; Institute of Eco-Chongming, East China Normal University, Shanghai, China.
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17
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Li Y, Li M, Xing T, Liu J. Resolving the origins of invertebrate colonists in the Yangtze River Estuary with molecular markers: Implications for ecological connectivity. Ecol Evol 2021; 11:13898-13911. [PMID: 34707826 PMCID: PMC8525129 DOI: 10.1002/ece3.8095] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 08/25/2021] [Accepted: 08/26/2021] [Indexed: 11/17/2022] Open
Abstract
Understanding connectivity over different spatial and temporal scales is fundamental for managing of ecological systems. However, controversy exists for wintertime ecological connectivity between the Yangtze River Estuary (YRE) and inner southwestern Yellow Sea. Here, we investigated ecological connectivity between the YRE and inner southwestern Yellow Sea in wintertime by precisely pinpointing the source of the newly colonized populations of a winter-spawning rocky intertidal invertebrate, Littorina brevicula (Philippi, 1844), on artificial structures along the coast of the Yangtze River Delta (YRD) using mitochondrial ND6 sequences and microsatellite data. Clear phylogeographic and genetic differentiation were detected between natural rocky populations south and north of the YRE, which resulted from the lack of hard substrate for rocky invertebrates in the large YRD coast. For the newly colonized populations on the coast of YRD, most individuals (98%) to the south of ~33.5°N were from natural rocky populations to the south of the YRE and most of those (94%) to the north of ~33.5°N were from the northern natural rocky populations, which demonstrated strong ecological connectivity between the inner southwestern Yellow Sea and the YRE in winter time. We presented the first genetic evidence that demonstrated a northward wintertime coastal current in the inner southwestern Yellow Sea, and precisely illustrated the boundary of the coastal current recently proposed by numerical experiment. These results indicated that the YRE serves as an important source of materials and energy for the inner southwestern Yellow Sea in winter, which can be crucial for the function of the Yellow Sea ecosystem.
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Affiliation(s)
- Yu‐Qiang Li
- CAS Key Laboratory of Marine Ecology and Environmental SciencesInstitute of OceanologyChinese Academy of SciencesQingdaoChina
- University of Chinese Academy of SciencesBeijingChina
| | - Meng‐Yu Li
- CAS Key Laboratory of Marine Ecology and Environmental SciencesInstitute of OceanologyChinese Academy of SciencesQingdaoChina
- University of Chinese Academy of SciencesBeijingChina
| | - Teng‐Fei Xing
- CAS Key Laboratory of Marine Ecology and Environmental SciencesInstitute of OceanologyChinese Academy of SciencesQingdaoChina
- University of Chinese Academy of SciencesBeijingChina
| | - Jin‐Xian Liu
- CAS Key Laboratory of Marine Ecology and Environmental SciencesInstitute of OceanologyChinese Academy of SciencesQingdaoChina
- Laboratory for Marine Ecology and Environmental ScienceQingdao National Laboratory for Marine Science and TechnologyQingdaoChina
- Center for Ocean Mega‐ScienceChinese Academy of SciencesQingdaoChina
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Zhou Y, He D, He C, Li P, Fan D, Wang A, Zhang K, Chen B, Zhao C, Wang Y, Shi Q, Sun Y. Spatial changes in molecular composition of dissolved organic matter in the Yangtze River Estuary: Implications for the seaward transport of estuarine DOM. Sci Total Environ 2021; 759:143531. [PMID: 33243497 DOI: 10.1016/j.scitotenv.2020.143531] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 10/19/2020] [Accepted: 10/20/2020] [Indexed: 06/11/2023]
Abstract
The complexity of dissolved organic matter (DOM) limits our understanding of the estuarine carbon cycle. This study adopted a combination of bulk carbon isotope, optical techniques and ultra-high resolution mass spectrometry to study the spatial heterogeneity and compositional variations of DOM across a latitudinal transect of the Yangtze River Estuary (YRE). Results show that the whole section of YRE received high abundance of protein-like C4 fluorescent component (0.66 ± 0.08 R.U.) and high relative abundance of aliphatic compounds and peptides (8.28 ± 1.46%) from phytoplankton, which would contribute to the bioavailable DOM pool of the Eastern China Sea (ECS). However, multivariate analysis indicated that polycyclic aromatics and polyphenols from the Yangtze River experienced a significant decrease of 5% within the turbidity zone, creating a significant decrease of 0.08 in aromaticity index and modulating DOM content and compositions within the YRE. 1837 molecular formulae were identified to track dynamic behaviors of terrestrial DOM in the YRE. Molecular imprints showed the removal of terrestrial molecules in the turbidity zone indicated by the decrease of 753 in molecular quantity, when water masses mixing diluted the abundance of aromatic compounds. Adsorption and flocculation could serve important mechanisms to remove terrestrial DOM, promoting the burial of terrestrial DOM within estuarine sediments. Besides, some terrestrial molecular formulae were also detected in the ECS, suggesting the potential contribution of terrestrial DOM to the carbon stock of open seas after experiencing physical and photochemical transformations. This research provides a comprehensive insight into spatial variations of estuarine DOM composition, underlining the important role of estuaries in sorting and transporting DOM.
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Affiliation(s)
- Yuping Zhou
- Organic Geochemistry Unit, Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, School of Earth Sciences, Zhejiang University, Hangzhou, China
| | - Ding He
- Organic Geochemistry Unit, Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, School of Earth Sciences, Zhejiang University, Hangzhou, China; State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China.
| | - Chen He
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Changping District, Beijing, China
| | - Penghui Li
- School of Marine Sciences, Sun Yat-sen University, Zhuhai, China
| | - Daidu Fan
- College of Marine Sciences, Tongji University, Shanghai, China
| | - Anyue Wang
- Organic Geochemistry Unit, Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, School of Earth Sciences, Zhejiang University, Hangzhou, China
| | - Kai Zhang
- Organic Geochemistry Unit, Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, School of Earth Sciences, Zhejiang University, Hangzhou, China
| | - Baoshan Chen
- School of Marine Science and Policy, University of Delaware, Newark, DE, United States
| | - Chen Zhao
- Organic Geochemistry Unit, Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, School of Earth Sciences, Zhejiang University, Hangzhou, China
| | - Yuntao Wang
- State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China
| | - Quan Shi
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Changping District, Beijing, China
| | - Yongge Sun
- Organic Geochemistry Unit, Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, School of Earth Sciences, Zhejiang University, Hangzhou, China
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Hu Y, He N, Wu M, Wu P, He P, Yang Y, Wang Q, Wang M, Fang S. Sources and ecological risk assessment of the seawater potentially toxic elements in Yangtze River Estuary during 2009-2018. Environ Monit Assess 2021; 193:44. [PMID: 33410980 DOI: 10.1007/s10661-020-08795-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Accepted: 12/10/2020] [Indexed: 06/12/2023]
Abstract
The purpose of this paper is to understand the sources of potentially toxic elements (PTE) and provide some suggestions to control PTE pollution. For this purpose, data from 30 monitoring stations for 2009-2018 were used to assess the PTE concentrations of Hg, Cu, Pb, Cd, Zn, and As in the Yangtze River Estuary. The PTE concentrations varied significantly (P < 0.05) by one-way ANOVA in the ranges of 0.002-0.224 (Hg, 0.043 ± 0.032), 0-9.700 (Cu, 1.600 ± 1.000), 0-3.900 (Pb, 1.000 ± 0.700), 0.002-0.370 (Cd, 0.050 ± 1.000), 0.100-85.000 (Zn, 14.000 ± 13.000), and 0.998-3.290 μg/L (As, 1.857 ± 0.455). Generally, the PTE concentrations decreased from year to year and were consistently satisfied the "grade-one seawater" quality standard after 2014. The concentrations of Cu, Cd, Zn, and As decreased as far from inshore, while increased closer to land in the estuary. Concentrations of Pb and Hg showed differences because of local industrial and aquacultural activities. This study identified three clusters and two PTE sources and provided some constructive suggestions for pollution control in PTE.
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Affiliation(s)
- Yang Hu
- College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai, 201306, China
| | - Ning He
- College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai, 201306, China
| | - Mingxuan Wu
- College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai, 201306, China
- Fisheries and Life Science School, Shanghai Ocean University, Shanghai, 201306, China
| | - Pengling Wu
- College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai, 201306, China
| | - Peimin He
- College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai, 201306, China
- Research Center of Water Environment and Ecological Engineering, Shanghai Ocean University, Shanghai, 201306, China
| | - Ying Yang
- East China Sea Environmental Monitoring Center, SOA, Shanghai, 200137, China
| | - Qinyi Wang
- College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai, 201306, China
| | - Maoqiu Wang
- College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai, 201306, China
| | - Shubo Fang
- College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai, 201306, China.
- Research Center of Water Environment and Ecological Engineering, Shanghai Ocean University, Shanghai, 201306, China.
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20
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Liu X, Chen Z, Wu J, Cui Z, Su P. Sedimentary polycyclic aromatic hydrocarbons (PAHs) along the mouth bar of the Yangtze River Estuary: Source, distribution, and potential toxicity. Mar Pollut Bull 2020; 159:111494. [PMID: 32739632 DOI: 10.1016/j.marpolbul.2020.111494] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 07/16/2020] [Accepted: 07/19/2020] [Indexed: 06/11/2023]
Abstract
The source, distribution, and potential toxicity of sedimentary polycyclic aromatic hydrocarbons (PAHs) along the mouth bar of the Yangtze River Estuary were investigated. Total concentrations of 17 PAHs in the study area ranged from 34.94 to 580.26 ng/g (mean value 146.31 ng/g). Results of PMF model revealed that mixed vehicle emissions (38.43%), natural gas combustion (24.98%), biomass combustion (20.76%) and coal combustion (15.83%) were sources of these sedimentary PAHs. The ERL/ERM, TEL/PEL and TEC/PEC values showed that the potential toxicity of PAHs was at low to medium level, but the presence of benzo[a]pyrene (BaP) and benzo[e]pyrene (BeP) requires more attention and research. Sedimentary PAHs pollution level in the three shoals (East Nanhui Shoal, Jiuduansha Shoal and Hengsha Shoal) was higher than that of the two passages (South Passage and North Passage), which demonstrates the possibility of restoration of the adjacent shoals by dredged soils in terms of PAHs pollution.
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Affiliation(s)
- Xingpo Liu
- College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai 201306, PR China; Key Laboratory of Estuarine & Coastal Engineering of Ministry of Transport, Shanghai 201201, PR China; International Joint Research Center for Persistent Toxic Substances (IJRC-PTS), Shanghai Maritime University, Shanghai 201306, PR China.
| | - Ziwei Chen
- College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai 201306, PR China; International Joint Research Center for Persistent Toxic Substances (IJRC-PTS), Shanghai Maritime University, Shanghai 201306, PR China
| | - Jiangshuai Wu
- College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai 201306, PR China; International Joint Research Center for Persistent Toxic Substances (IJRC-PTS), Shanghai Maritime University, Shanghai 201306, PR China
| | - Ziyu Cui
- College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai 201306, PR China; International Joint Research Center for Persistent Toxic Substances (IJRC-PTS), Shanghai Maritime University, Shanghai 201306, PR China
| | - Penghao Su
- College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai 201306, PR China; International Joint Research Center for Persistent Toxic Substances (IJRC-PTS), Shanghai Maritime University, Shanghai 201306, PR China
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21
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Zhong X, Qiu B, Liu X. Functional diversity patterns of macrofauna in the adjacent waters of the Yangtze River Estuary. Mar Pollut Bull 2020; 154:111032. [PMID: 32174487 DOI: 10.1016/j.marpolbul.2020.111032] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2019] [Revised: 02/22/2020] [Accepted: 02/26/2020] [Indexed: 06/10/2023]
Abstract
Functional diversity can reflect the overall differences in functional traits and indicate their response to environmental disturbance. Macrofaunal feeding functional groups and functional diversity were studied in the adjacent waters of the Yangtze River Estuary. The detritivorous group had the highest species number, abundance and secondary productivity while the canivorous group had the highest biomass. Pearson correlation analysis showed that functional evenness was negatively correlated with species number and Shannon-Wiener index. Functional divergence was negatively correlated with Simpson dominance index. Functional dispersion was positively correlated with species evenness, Shannon-Wiener index and Simpson dominance index. High values of functional diversity mainly cooccurred with high species diversity, uniform trait distribution and small niche overlap, indicating weak interspecific competition and high resources utilization. The dominant species were miniaturized and their biological traits analysis indicated that the study area has been disturbed for long time, resulting in the decline of the benthic ecosystem stability.
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Affiliation(s)
- Xin Zhong
- College of Marine Life Sciences, Ocean University of China, Qingdao 266003, China
| | - Baochao Qiu
- College of Marine Life Sciences, Ocean University of China, Qingdao 266003, China
| | - Xiaoshou Liu
- College of Marine Life Sciences, Ocean University of China, Qingdao 266003, China; Institute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao 266003, China.
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Wang X, Liu B, Zhang W. Distribution and risk analysis of heavy metals in sediments from the Yangtze River Estuary, China. Environ Sci Pollut Res Int 2020; 27:10802-10810. [PMID: 31950412 DOI: 10.1007/s11356-019-07581-x] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Accepted: 12/29/2019] [Indexed: 06/10/2023]
Abstract
Sediments core within the Yangtze River Estuary was collected for metal and grain size analysis. The vertical distribution characteristics of eight metals along the core were investigated based on 137Cs and 210Pb radionuclide dating. The sediment was mainly composed of sand and silt. The metals concentrations were Al, 4.67-6.83; Fe, 2.3-3.94; Mn, 0.046-0.07; Cr, 69.5-103; Cu, 14.3-32.1; Zn, 47.3-96.7; Cd, 0.037-0.212; Pb, 13.7-23; Ni, 18.8-38.9 (mg·kg-1, except Al, Fe, and Mn as %), respectively. Geoaccumulation indexes (Igeo) indicated that Cu, Zn, and Pb were of pollution-free level; Cd, Cr, and Ni were in a slight polluted level. Based on potential ecological risk factors (EI), Cd posed a moderate risk to the local environment. Correlation analysis showed that Fe, Al, and Mn had a close association with Cu, Zn, Pb, and Ni at p < 0.01. Clay was significantly correlated with other metals except Cr and Cd.
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Affiliation(s)
- Xiao Wang
- School of Ocean Sciences, China University of Geosciences (Beijing), Beijing, 100083, China
| | - Baolin Liu
- School of Ocean Sciences, China University of Geosciences (Beijing), Beijing, 100083, China.
| | - Wensi Zhang
- School of Ocean Sciences, China University of Geosciences (Beijing), Beijing, 100083, China
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23
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Yan J, Sui J, Xu Y, Li X, Wang H, Zhang B. Assessment of the benthic ecological status in adjacent areas of the Yangtze River Estuary, China, using AMBI, M-AMBI and BOPA biotic indices. Mar Pollut Bull 2020; 153:111020. [PMID: 32275566 DOI: 10.1016/j.marpolbul.2020.111020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 02/20/2020] [Accepted: 02/21/2020] [Indexed: 06/11/2023]
Abstract
The main environmental variables of bottom seawater and macrobenthic invertebrates were investigated from February 2015 to January 2016 to evaluate the benthic ecological status in adjacent areas of the Yangtze River Estuary, China. Diverse ecological assessment results were given by the AZTI Marine Biotic Index (AMBI), multivariate-AMBI (M-AMBI) and benthic opportunistic polychaetes amphipods (BOPA) index, showing that the M-AMBI was the most suitable in the study area. A clear spatial distribution pattern related to the distance from the estuary and the coasts was found both for the benthic ecological status and the eutrophication-related bottom seawater environmental variables, indicating that the study area was under eutrophication pressure. Two major disturbed regions (one was east of the Yangtze River Estuary, and the other was east of Zhejiang Province) were discovered, which was probably mainly caused by the Changjiang Diluted Water (CDW). No significant seasonal changes were found in the ecological status.
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Affiliation(s)
- Jia Yan
- Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266000, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, 7 Nanhai Road, Qingdao 266071, China
| | - Jixing Sui
- Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266000, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, 7 Nanhai Road, Qingdao 266071, China
| | - Yong Xu
- Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266000, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, 7 Nanhai Road, Qingdao 266071, China.
| | - Xinzheng Li
- Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266000, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, 7 Nanhai Road, Qingdao 266071, China.
| | - Hongfa Wang
- Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
| | - Baolin Zhang
- Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
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24
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Liu X, Chen Z, Xia C, Wu J, Ding Y. Characteristics, distribution, source and ecological risk of polycyclic aromatic hydrocarbons (PAHs) in sediments along the Yangtze River Estuary Deepwater Channel. Mar Pollut Bull 2020; 150:110765. [PMID: 31780091 DOI: 10.1016/j.marpolbul.2019.110765] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Revised: 11/17/2019] [Accepted: 11/19/2019] [Indexed: 06/10/2023]
Abstract
Characteristics, distribution, source, and ecological risk level of polycyclic aromatic hydrocarbons (PAHs) in sediments along Yangtze River Estuary Deepwater Channel were investigated. Total concentration of fifteen PAHs of study area ranged between 89.52 and 208.02 ng/g (mean value 140.48 ng/g). PAHs ratios and the statistical analysis showed that local fossil fuels high-temperature combustion (vehicular exhaust, anthropogenic combustion and pyrogenic sources) was the main PAHs origin. According to sediment quality guidelines (SQGs) and other criteria, the potential ecological risks of PAHs in sediments along Yangtze River Estuary Deepwater Channel are at low to medium levels, but the presence of dibenzo[a,h]anthracene (DBahAnt) requires more study and evaluation of potential toxicological effects.
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Affiliation(s)
- Xingpo Liu
- College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai 201306, PR China; Key Laboratory of Estuarine & Coastal Engineering of Ministry of Transport, Shanghai 201201, PR China; International Joint Research Center for Persistent Toxic Substances (IJRC-PTS), Shanghai Maritime University, Shanghai 201306, PR China.
| | - Ziwei Chen
- College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai 201306, PR China; International Joint Research Center for Persistent Toxic Substances (IJRC-PTS), Shanghai Maritime University, Shanghai 201306, PR China
| | - Chengfei Xia
- College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai 201306, PR China; International Joint Research Center for Persistent Toxic Substances (IJRC-PTS), Shanghai Maritime University, Shanghai 201306, PR China
| | - Jiangshuai Wu
- College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai 201306, PR China; International Joint Research Center for Persistent Toxic Substances (IJRC-PTS), Shanghai Maritime University, Shanghai 201306, PR China
| | - Yongsheng Ding
- College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai 201306, PR China; International Joint Research Center for Persistent Toxic Substances (IJRC-PTS), Shanghai Maritime University, Shanghai 201306, PR China
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25
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Wu JH, Dai LB, Dai XJ, Tian SQ, Liu J, Chen JH, Wang XF, Wang JQ. [Comparison of generalized additive model and boosted regression tree in predicting fish community diversity in the Yangtze River Estuary, China]. Ying Yong Sheng Tai Xue Bao 2019; 30:644-652. [PMID: 30915817 DOI: 10.13287/j.1001-9332.201902.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Yangtze River Estuary is the biggest estuarine ecosystem in the western Pacific Ocean. Evaluating fish community in this ecosystem can provide scientific basis for its restoration and mana-gement. Generalized additive model (GAM) and boosted regression tree (BRT) were built to examine the relationship between fish community diversity and environmental and spatio-temporal variables based on data collected during 2012-2014. Combined with linear regression analysis, a cross validation was used to evaluate the fitness and predictive performance of both models. We plotted the spatial distribution of fish community diversity and richness in each station of the Yangtze River Estuary in 2014. The results showed that salinity, pH and chlorophyll-a had the most contribution on diversity, while pH, dissolved oxygen and chlorophyll-a were the most contributive variables on richness. BRT models showed better fitness and lower prediction error than GAM models. In contrast to GAM models, BRT models could distinguish the fish community index in each station area with respect to the spatial prediction. The diversity index in external water was obviously greater than that in internal water. Meanwhile, the station at higher latitude had a higher diversity index in both external and internal water.
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Affiliation(s)
- Jian-Hui Wu
- College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China.,Superintendence Department of Shanghai Yangtze Estuarine Nature Reserve for Chinese Sturgeon, Shanghai 200092, China
| | - Li-Bin Dai
- College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China.,National Data Centre for Distant-Water Fisheries of China, Shanghai 201306, China.,Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education, Shanghai 201306, China
| | - Xiao-Jie Dai
- College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China.,National Data Centre for Distant-Water Fisheries of China, Shanghai 201306, China.,Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education, Shanghai 201306, China.,National Distant-water Fisheries Engineering Research Center, Shanghai 201306, China
| | - Si-Quan Tian
- College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China.,National Data Centre for Distant-Water Fisheries of China, Shanghai 201306, China.,Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education, Shanghai 201306, China.,National Distant-water Fisheries Engineering Research Center, Shanghai 201306, China
| | - Jian Liu
- Superintendence Department of Shanghai Yangtze Estuarine Nature Reserve for Chinese Sturgeon, Shanghai 200092, China
| | - Jin-Hui Chen
- Superintendence Department of Shanghai Yangtze Estuarine Nature Reserve for Chinese Sturgeon, Shanghai 200092, China
| | - Xue-Fang Wang
- College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China.,National Data Centre for Distant-Water Fisheries of China, Shanghai 201306, China.,Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education, Shanghai 201306, China.,National Distant-water Fisheries Engineering Research Center, Shanghai 201306, China
| | - Jia-Qi Wang
- College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China.,National Data Centre for Distant-Water Fisheries of China, Shanghai 201306, China.,Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education, Shanghai 201306, China
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26
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Ren QQ, Xian WW, Zhang Y, Liu CL, Li WL. [Invertebrate assemblage structure associated with key environmental factors in the Yangtze River Estuary, China.]. Ying Yong Sheng Tai Xue Bao 2018; 29:3067-3077. [PMID: 30411584 DOI: 10.13287/j.1001-9332.201809.036] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Yangtze River Estuary plays a key role in linking the river and ocean ecosystems. Our understanding on its biodiversity and associated ecological processes remains poor, which is especially true for the invertebrate assemblage. Here, we investigated invertebrate assemblage pattern and associated environmental drivers based on four different seasonal comprehensive investigations across this region in 2014. A total of 35 species, belonging to 20 families, 10 orders and three phylums were identified. Crustaceans (19 species) and mollusks (13 species) were the taxa with higher richness. Dominant invertebrate included Palaemon gravieri, Crangon affinis, Ovalipes punctatus, Acetes chinensis, Portunus trituberculatus and Charybdis bimaculata. Total density and biomass was 4518.96 kN·km-2 and 173.09 kg·km-2 respectively, with the highest value in spring and the lowest in autumn. Biodiversity indices peaked in winter and spring and reached the lowest in summer. Invertebrate assemblage structure showed significant seasonal variation, appearing in a significant difference between the near-shore and the off-shore in spring, and between the northern-waters and southern-waters in other seasons. Results from ordination analysis showed that the spatial variation of invertebrate was mainly regulated by temperature and dissolved oxygen, whereas Chla and nutrient factors played key roles in driving the temporal community assemblage in this region.
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Affiliation(s)
- Qing Qiang Ren
- College of Fisheries and Life Science, Shanghai Ocean University, Shanghai 201306, China.,CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, Shandong, China.,Yellow Sea Fishe-ries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, Shandong, China
| | - Wei Wei Xian
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, Shandong, China.,Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, Shandong, China
| | - Yan Zhang
- Yellow Sea Fishe-ries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, Shandong, China
| | - Chun Long Liu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, Shandong, China
| | - Wen Long Li
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, Shandong, China
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27
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Yu Y, Wang P, Wang C, Wang X, Hu B. Assessment of the Multi-Objective Reservoir Operation for Maintaining the Turbidity Maximum Zone in the Yangtze River Estuary. Int J Environ Res Public Health 2018; 15:ijerph15102118. [PMID: 30261645 PMCID: PMC6210024 DOI: 10.3390/ijerph15102118] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/11/2018] [Revised: 09/22/2018] [Accepted: 09/24/2018] [Indexed: 11/21/2022]
Abstract
The construction of multifunction reservoirs is important for flood control, agriculture irrigation, navigation, and hydropower generation, but dam construction will inevitably affect the downstream flow and sediment regimes, which can cause some environmental and ecological consequences. Therefore, this paper aims to propose a framework for assessing the multiobjective reservoir operation model based on environmental flows for sustaining the suspended sediment concentration (SSC) requirements in the turbidity maximum zone (TMZ). The Yangtze River Estuary was used as a case study. Through using an analytical model, a quantitative correlation between SSC and water flow rate was established. Then, the quantitative correlation and the SSC requirements were applied to determine the environmental flows for the estuarine TMZ. Subsequently, a multiobjective reservoir operation model was developed for the Three Gorges Reservoir (TGR), and an improved nondominated sorting genetic algorithm III based on elimination operator was applied to the model. An uncertainty analysis and a comparative analysis were used to assess the model’s performance. The results showed that the proposed multiobjective reservoir operation model can reduce ecological deficiency under wet, normal, and dry years by 33.65%, 35.95%, and 20.98%, with the corresponding hydropower generation output lost by 3.37%, 3.88%, and 2.95%, respectively. Finally, we discussed ecological satiety rates under optimized and practical operation of the TGR in wet, normal, and dry years. It indicated that the multiobjective-optimized runoff performs better at maintaining the TMZ in the Yangtze River Estuary than practical runoff. More importantly, the results can offer guidance for the management of the TGR to improve the comprehensive development and protection of the estuarine ecological environment.
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Affiliation(s)
- Yang Yu
- Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, Hohai University, Nanjing 210098, China.
- College of Environment, Hohai University, Nanjing 210098, China.
| | - Peifang Wang
- Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, Hohai University, Nanjing 210098, China.
- College of Environment, Hohai University, Nanjing 210098, China.
| | - Chao Wang
- Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, Hohai University, Nanjing 210098, China.
- College of Environment, Hohai University, Nanjing 210098, China.
| | - Xun Wang
- Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, Hohai University, Nanjing 210098, China.
- College of Environment, Hohai University, Nanjing 210098, China.
| | - Bin Hu
- Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, Hohai University, Nanjing 210098, China.
- College of Environment, Hohai University, Nanjing 210098, China.
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Liu R, Men C, Yu W, Xu F, Wang Q, Shen Z. Uncertainty in positive matrix factorization solutions for PAHs in surface sediments of the Yangtze River Estuary in different seasons. Chemosphere 2018; 191:922-936. [PMID: 29145137 DOI: 10.1016/j.chemosphere.2017.10.070] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2017] [Revised: 10/10/2017] [Accepted: 10/11/2017] [Indexed: 06/07/2023]
Abstract
To examine the variabilities of source contributions in the Yangtze River Estuary (YRE), the uncertainty based on the positive matrix factorization (PMF) was applied to the source apportionment of the 16 priority PAHs in 120 surface sediment samples from four seasons. Based on the signal-to-noise ratios, the PAHs categorized as "Bad" might drop out of the estimation of bootstrap. Next, the spatial variability of residuals was applied to determine which species with non-normal curves should be excluded. The median values from the bootstrapped solutions were chosen as the best estimate of the true factor contributions, and the intervals from 5th to 95th percentile represent the variability in each sample factor contribution. Based on the results, the median factor contributions of wood grass combustion and coke plant emissions were highly correlated with the variability (R2 = 0.6797-0.9937) in every season. Meanwhile, the factor of coal and gasoline combustion had large variability with lower R2 values in every season, especially in summer (0.4784) and winter (0.2785). The coefficient of variation (CV) values based on the Bootstrap (BS) simulations were applied to indicate the uncertainties of PAHs in every factor of each season. Acy, NaP and BgP always showed higher CV values, which suggested higher uncertainties in the BS simulations, and the PAH with the lowest concentration among all PAHs usually became the species with higher uncertainties.
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Affiliation(s)
- Ruimin Liu
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing, 100875, China.
| | - Cong Men
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing, 100875, China
| | - Wenwen Yu
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing, 100875, China
| | - Fei Xu
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing, 100875, China
| | - Qingrui Wang
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing, 100875, China
| | - Zhenyao Shen
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing, 100875, China
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Wang C, Zou X, Li Y, Zhao Y, Song Q, Yu W. Pollution levels and risks of polycyclic aromatic hydrocarbons in surface sediments from two typical estuaries in China. Mar Pollut Bull 2017; 114:917-925. [PMID: 27865522 DOI: 10.1016/j.marpolbul.2016.11.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2016] [Revised: 11/09/2016] [Accepted: 11/13/2016] [Indexed: 06/06/2023]
Abstract
To assess the environmental risks of polycyclic aromatic hydrocarbons (PAHs), 48 and 45 sediments were collected from the Yangtze River Estuary (YRE) and Pearl River Estuary (PRE), respectively. The toxicity equivalency concentration (TEQ) in the YRE and PRE were ranged from 1.68 to 76.13 and 9.28 to 129.24ngTEQg-1, respectively. Results of risk quotient suggest that ecological risks of two estuaries are at a moderate level, but are higher in the PRE than YRE. The increment lifetime cancer risks (ILCR) from the YRE via ingestion and dermal contact were 1×10-6 to 5.6×10-5 and 4×10-6 to 1.6×10-4, and ranged from 7×10-6 to 9.4×10-5 and 2×10-5 to 2.8×10-4 in the PRE. ILCR results suggest that some low and moderate cancer risk exists in the YRE and PRE. Therefore, monitoring and control measures should be carried out immediately to reduce or eliminate the risks to human health from environmental exposure.
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Affiliation(s)
- Chenglong Wang
- School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China; Ministry of Education Key Laboratory for Coast and Island Development, Nanjing University, Nanjing 210093, China
| | - Xinqing Zou
- School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China; Ministry of Education Key Laboratory for Coast and Island Development, Nanjing University, Nanjing 210093, China; Collaborative Innovation Center of South China Sea Studies, Nanjing University, Nanjing 210093, China.
| | - Yali Li
- School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China; Ministry of Education Key Laboratory for Coast and Island Development, Nanjing University, Nanjing 210093, China; Collaborative Innovation Center of South China Sea Studies, Nanjing University, Nanjing 210093, China
| | - Yifei Zhao
- School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China; Ministry of Education Key Laboratory for Coast and Island Development, Nanjing University, Nanjing 210093, China
| | - Qiaochu Song
- School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China; Ministry of Education Key Laboratory for Coast and Island Development, Nanjing University, Nanjing 210093, China
| | - Wenwen Yu
- School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China; Ministry of Education Key Laboratory for Coast and Island Development, Nanjing University, Nanjing 210093, China; Marine Fisheries Research Institute of Jiangsu Province, Nantong 226007, China
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30
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Liu L, Liu R, Yu W, Xu F, Men C, Wang Q, Shen Z. Risk assessment and uncertainty analysis of PAHs in the sediments of the Yangtze River Estuary, China. Mar Pollut Bull 2016; 112:380-388. [PMID: 27539637 DOI: 10.1016/j.marpolbul.2016.08.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2016] [Revised: 07/31/2016] [Accepted: 08/03/2016] [Indexed: 06/06/2023]
Abstract
To better explore the concentration of polycyclic aromatic hydrocarbons (PAHs) in the sediments of the Yangtze River Estuary (YRE), 16 priority PAHs were analyzed based on sampling data obtained in February 2011. The results showed that the total concentrations of PAHs in sediments of the YRE varied from 65.07 to 668.98ng·g-1. The results of toxic equivalent quantities of benzo[a]pyrene and the sediment quality guideline quotient suggested that PAHs had little or no adverse effects on the environment. The cancer risk results showed that the cancer risk at all sites exceeded 10-6, with 73% of sites exceeding 10-4, suggesting that people remain at risk of cancer as a result of their exposure to carcinogenic PAHs. However, the result of hazard index results showed that the non-cancer risks were substantially lower than one, indicating that PAHs in these sediments likely pose little or no adverse health threats to local inhabitants.
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Affiliation(s)
- Lumeng Liu
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China
| | - Ruimin Liu
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China.
| | - Wenwen Yu
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China
| | - Fei Xu
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China
| | - Cong Men
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China
| | - Qingrui Wang
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China
| | - Zhenyao Shen
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China
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31
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Wang C, Zou X, Gao J, Zhao Y, Yu W, Li Y, Song Q. Pollution status of polycyclic aromatic hydrocarbons in surface sediments from the Yangtze River Estuary and its adjacent coastal zone. Chemosphere 2016; 162:80-90. [PMID: 27485799 DOI: 10.1016/j.chemosphere.2016.07.075] [Citation(s) in RCA: 50] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2016] [Revised: 07/15/2016] [Accepted: 07/24/2016] [Indexed: 06/06/2023]
Abstract
Polycyclic aromatic hydrocarbons (PAHs) are mainly produced by incomplete combustion and are used as indicators of anthropogenic activities on the environment. This study analyses the PAHs level in the Yangtze River Estuary (YRE), an important component of Yangtze River and a developed and populated region in China. Surface sediments were collected from 77 sites at the YRE and its adjacent coastal zone (IACZ) for a comprehensive study of PAHs. Kriging interpolation technology and Positive matrix factorization (PMF) model were applied to explore the spatial distribution and sources of PAHs. Concentrations of 16 PAHs (ΣPAHs) varied from 27.2 ng g(-1) to 621.6 ng g(-1) dry weight, with an average value of 158.2 ng g(-1). Spatially, ΣPAHs exhibited wide fluctuation and exhibited an increasing tendency from north to south. In addition, ΣPAHs exhibited a decreasing trend with increasing distance between the estuary and IACZ. The deposition flux of PAHs indicated that more than 107.8 t a(-1) PAHs was deposited in the study area annually. The results of the PMF model revealed that anthropogenic activities were the main sources of PAHs in the study area. Vehicle emissions and marine engines were the most important sources and accounted for 40.9% of the pollution. Coal combustion, petrogenic sources, and wood combustion were other sources that contributed 23.9%, 23.6%, and 11.5%, respectively. The distribution patterns of PAHs in the YRE and IACZ were influenced by many complicated factors such as sediment grain size, hydrodynamics and so on.
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Affiliation(s)
- Chenglong Wang
- School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China; Key Laboratory of Coast and Island Development (Nanjing University), Ministry of Education, Nanjing 210093, China
| | - Xinqing Zou
- School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China; Key Laboratory of Coast and Island Development (Nanjing University), Ministry of Education, Nanjing 210093, China.
| | - Jianhua Gao
- School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China; Key Laboratory of Coast and Island Development (Nanjing University), Ministry of Education, Nanjing 210093, China
| | - Yifei Zhao
- School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China; Key Laboratory of Coast and Island Development (Nanjing University), Ministry of Education, Nanjing 210093, China
| | - Wenwen Yu
- School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China; Key Laboratory of Coast and Island Development (Nanjing University), Ministry of Education, Nanjing 210093, China; Marine Fisheries Research Institute of Jiangsu Province, Nantong 226007, China
| | - Yali Li
- School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China; Key Laboratory of Coast and Island Development (Nanjing University), Ministry of Education, Nanjing 210093, China
| | - Qiaochu Song
- School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China; Key Laboratory of Coast and Island Development (Nanjing University), Ministry of Education, Nanjing 210093, China
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Chen X, Shen Z, Yang Y. Response of the turbidity maximum zone in the Yangtze River Estuary due to human activities during the dry season. Environ Sci Pollut Res Int 2016; 23:18466-18481. [PMID: 27287491 DOI: 10.1007/s11356-016-6872-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2015] [Accepted: 05/09/2016] [Indexed: 06/06/2023]
Abstract
The interaction between a river and the sea results in a turbidity maximum zone (TMZ) within the estuary, which has a great impact on the local ecosystem. In the Yangtze River Estuary, the magnitude and extent of the TMZ vary with water discharge. In this study, the cumulative human activity altered the water discharge regime from the river to the estuary. In the post-Three Gorges Dam (TGD) period, water discharge increased by 35.10 % at Datong in February compared with that in the pre-TGD period. The effects of water discharge variation on the characteristics of the TMZ were analyzed during spring and neap tidal periods using the three-dimensional environmental fluid dynamic code (EFDC) model. The area of the TMZ decreased by 3.11 and 17.39 % during neap and spring tides, respectively. In addition, the upper limit of the TMZ moved 11.68 km seaward during neap tide, whereas the upper limit of the TMZ in the upstream and downstream areas moved seaward 9.65 and 2.34 km, respectively, during spring tide. These findings suggest that the area and location of the TMZ are more sensitive to upstream runoff during spring tide than during neap tide. These changes in the TMZ will impact the biochemical processes in the Yangtze River Estuary. In the foreseeable future, the distribution characteristic of TMZ will inevitably change due to variations in the Yangtze River discharge resulting from new human activities (i.e., new dams), which are being constructed upstream in the Yangtze River system.
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Affiliation(s)
- Xiaofeng Chen
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China
| | - Zhenyao Shen
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China.
| | - Ye Yang
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China
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33
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Yu W, Liu R, Xu F, Men C, Shen Z. Identifications and seasonal variations of sources of polycyclic aromatic hydrocarbons (PAHs) in the Yangtze River Estuary, China. Mar Pollut Bull 2016; 104:347-354. [PMID: 26837271 DOI: 10.1016/j.marpolbul.2016.01.036] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2015] [Revised: 01/14/2016] [Accepted: 01/23/2016] [Indexed: 06/05/2023]
Abstract
In this study, positive matrix factorization models (PMFx) were used to analyze the sources of sedimentary PAHs in Yangtze River Estuary (YRE) using 120 data samples from 30 sites collected over four seasons. Three sources were defined for the PAHs: coal and gasoline combustion was the dominant source, accounting for approximately 50%; coke plant emissions and wood or grass combustion each contributed approximately 25%. The coal tar origin was the major source in summer; wood or grass combustion dominated in autumn; coal combustion was the primary source of PAHs in spring and winter. More than 90% of the coke plant emissions were from summer, while pollutants from wood or grass combustion were discharged primarily in autumn. These three sources distributed in different primary regions, the spatial patterns of coal combustion presented an increasing trend in the seaward direction.
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Affiliation(s)
- Wenwen Yu
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China
| | - Ruimin Liu
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China.
| | - Fei Xu
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China
| | - Comg Men
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China
| | - Zhenyao Shen
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China
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34
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Yu W, Liu R, Xu F, Shen Z. Environmental risk assessments and spatial variations of polycyclic aromatic hydrocarbons in surface sediments in Yangtze River Estuary, China. Mar Pollut Bull 2015; 100:507-515. [PMID: 26371848 DOI: 10.1016/j.marpolbul.2015.09.004] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2015] [Revised: 08/31/2015] [Accepted: 09/01/2015] [Indexed: 06/05/2023]
Abstract
In this study, based on sampling data from 30 sites in August 2010, the environmental risks associated with 16 priority PAHs were estimated in surface sediments from the Yangtze River Estuary (YRE). The results indicated that the toxic equivalent quantities of the benzo[a]pyrene (TEQBap) from 30 sites were in the range of 1.93-75.88ngg(-1), and the low-molecular-weight PAHs were the dominated species with higher potential toxicity. The results of the Incremental Lifetime Cancer Risk (ILCR) model indicated that the ILCR values of dermal contact were higher than 10(-6) in the northeast region, suggesting that there were significant potential carcinogenic health risks for fishermen exposure to sedimentary PAHs via dermal contact in these areas. RQ values of PAHs indicated the various distributions of ecological risk levels in the study area. These variations might be caused by the natural and anthropogenic inputs and currents in the YRE.
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Affiliation(s)
- Wenwen Yu
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China
| | - Ruimin Liu
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China.
| | - Fei Xu
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China
| | - Zhenyao Shen
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China
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35
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Yu W, Liu R, Wang J, Xu F, Shen Z. Source apportionment of PAHs in surface sediments using positive matrix factorization combined with GIS for the estuarine area of the Yangtze River, China. Chemosphere 2015; 134:263-271. [PMID: 25966456 DOI: 10.1016/j.chemosphere.2015.04.049] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2014] [Revised: 04/16/2015] [Accepted: 04/17/2015] [Indexed: 06/04/2023]
Abstract
This study used PMF and geostatistics to quantify sources of PAHs based on 30 samples tested for 16 PAHs in surface sediment from the Yangtze River Estuary (YRE) in February 2011. The results demonstrated that the total PAH concentrations varied from 65.07 to 954.52 ng g(-1) with a mean value of 224.00 ng g(-1). In the inner estuary, the mean of the total PAH concentrations was 229.89 ng g(-1), and the high molecular weight of four-to-six-ring PAHs accounted for 51.83% of PAHs. In the adjacent East Sea, the mean value was 218.85 ng g(-1) and the high molecular weight PAHs accounted for approximately 54% of total PAHs. A three-factor modeling result from PMF provided the most satisfactory analysis of PAH sources. Coke plant emissions and biomass combustion, which contributed 45.64% of the pollution, were the most important sources, and pollutants from these sources were primarily concentrated in the southern branch of the estuary. Gasoline fuel combustion accounted for approximately 40% of the pollution, and the major contaminated area was in the northern region. Petrogenic sources (14.70%) also influenced the estuary, especially in the northeastern region. Water currents and source locations affected the impacted regions of PMF factors; the surrounding natural and artificial influences were also considered.
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Affiliation(s)
- Wenwen Yu
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China
| | - Ruimin Liu
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China.
| | - Jiawei Wang
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China
| | - Fei Xu
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China
| | - Zhenyao Shen
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China
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36
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Yang B, Cao L, Liu SM, Zhang GS. Biogeochemistry of bulk organic matter and biogenic elements in surface sediments of the Yangtze River Estuary and adjacent sea. Mar Pollut Bull 2015; 96:471-484. [PMID: 25960273 DOI: 10.1016/j.marpolbul.2015.05.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2014] [Revised: 04/12/2015] [Accepted: 05/02/2015] [Indexed: 06/04/2023]
Abstract
This study investigated the distribution and roles of total organic carbon (TOC), biogenic silicon (BSi), various forms of nitrogen (N) and phosphorus (P), and the stable carbon isotope (δ(13)C) in surface sediments of the Yangtze River Estuary (YRE) and adjacent sea. Terrestrial input accounted for 12-63% of total organic matter in the study area. The distribution of biogenic elements was affected by the Changjiang Diluted Water, the Jiangsu Coastal Current, human activities, marine biological processes, and the sediment grain size. Potentially bioavailable N and P accounted for an average 79.6% of the total N (TN) and 31.8% of the total P (TP), respectively. The burial fluxes for TOC, BSi, TN and TP were 39.74-2194.32, 17.34-517.48, 5.02-188.85 and 3.10-62.72 μmol cm(-2) yr(-1), respectively. The molar ratios of total N/P (1.2-5.0), Si/P (5.0-14.8) and Fe/P (21-61) indicated that much of the P was sequestered in sediments.
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Affiliation(s)
- Bin Yang
- Key Laboratory of Marine Chemistry Theory and Technology, Ocean University of China, Ministry of Education/Qingdao Collaborative Innovation Center of Marine Science and Technology, Qingdao 266100, China; Guangxi Key Laboratory of Beibu Gulf Marine Biodiversity Conservation, Qinzhou University, Qinzhou 535099, China
| | - Lu Cao
- Key Laboratory of Marine Chemistry Theory and Technology, Ocean University of China, Ministry of Education/Qingdao Collaborative Innovation Center of Marine Science and Technology, Qingdao 266100, China; Shandong Provincial Key Laboratory of Ocean Environment Monitoring Technology, Shandong Academy of Sciences Institute of Oceanographic Instrumentation, Qingdao 266001, China
| | - Su-Mei Liu
- Key Laboratory of Marine Chemistry Theory and Technology, Ocean University of China, Ministry of Education/Qingdao Collaborative Innovation Center of Marine Science and Technology, Qingdao 266100, China.
| | - Guo-Sen Zhang
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200062, China
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37
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Wang J, Liu R, Zhang P, Yu W, Shen Z, Feng C. Spatial variation, environmental assessment and source identification of heavy metals in sediments of the Yangtze River Estuary. Mar Pollut Bull 2014; 87:364-373. [PMID: 25103899 DOI: 10.1016/j.marpolbul.2014.07.048] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2014] [Revised: 07/11/2014] [Accepted: 07/17/2014] [Indexed: 05/22/2023]
Abstract
In order to analyze the spatial distribution patterns, pollution sources and ecological risks of heavy metals (As, Cd, Cr, Cu, Mn, Ni, Pb and Zn), 30 sediment samples were taken from in the Yangtze River Estuary (YRE). The results indicated that the contamination ranking of heavy metals was As>Cr>Cd>Ni>Mn>Pb>Zn>Cu. In the various areas, the pollution magnitude decreased as follows: adjacent sea>river mouth>inner-region. Compared to data published for other regions, the YRE data indicated that the sediment was not severely contaminated by heavy metals. In the YRE, natural and anthropogenic inputs dominated the distribution patterns of the heavy metals. Beyond that, the hydrodynamic conditions, such as the Taiwan warm current, coastal current and Yangtze diluted water, also caused distribution variations in the study areas.
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Affiliation(s)
- Jiawei Wang
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China
| | - Ruimin Liu
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China.
| | - Peipei Zhang
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China
| | - Wenwen Yu
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China
| | - Zhenyao Shen
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China
| | - Chenghong Feng
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China
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Liu R, Chen Y, Sun C, Zhang P, Wang J, Yu W, Shen Z. Uncertainty analysis of total phosphorus spatial-temporal variations in the Yangtze River Estuary using different interpolation methods. Mar Pollut Bull 2014; 86:68-75. [PMID: 25113104 DOI: 10.1016/j.marpolbul.2014.07.041] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2013] [Revised: 07/15/2014] [Accepted: 07/19/2014] [Indexed: 06/03/2023]
Abstract
Interpolation processes and results are generally accompanied by uncertainty which affects the spatial and temporal properties of pollutants. Based on the 4 period sample data of total phosphorus (TP) collected from the Yangtze River Estuary (YRE) in 2010 and 2011, the uncertainty of spatial-temporal variation was analyzed with interpolation methods of inverse distance weighted (IDW), local polynomial interpolation (LPI), ordinary kriging (OK) and disjunctive kriging (DK). The root mean square errors (RMSE) and the mean relative errors (MRE) were used to analyze the accuracy of different interpolation methods. The results showed that the uncertainty of DK was the lowest and the uncertainty of LPI was the highest among the 4 methods. The subtraction results between different interpolation methods showed that there was some distinct area of value in the disparate interval (not in [-0.05, 0.05] (mg/L)) in the 4 seasonal results, which was mainly distributed in the boundary region and around some sample sites. Both standard deviation (SD) and coefficient of variance (CV) in August 2010 were the highest in the 4 seasons and annual mean. The uncertainty may be caused by choice of interpolation methods, spatial data discrepancy and the lack of sample data.
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Affiliation(s)
- Ruimin Liu
- State Key Laboratory of Environment Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China.
| | - Yaxin Chen
- State Key Laboratory of Environment Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Chengchun Sun
- State Key Laboratory of Environment Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Peipei Zhang
- State Key Laboratory of Environment Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Jiawei Wang
- State Key Laboratory of Environment Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Wenwen Yu
- State Key Laboratory of Environment Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Zhenyao Shen
- State Key Laboratory of Environment Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
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