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Wu Y, Liu H, Zhang H, Li Q. Sources and seasonal variations of nitrate in the coastal multiple-aquifer groundwater of Beihai, southern China. JOURNAL OF CONTAMINANT HYDROLOGY 2024; 262:104308. [PMID: 38301511 DOI: 10.1016/j.jconhyd.2024.104308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 01/23/2024] [Accepted: 01/25/2024] [Indexed: 02/03/2024]
Abstract
Elevated nitrate (NO3-) loadings in groundwater may cause health effects in drinking water and nutrient enrichment of aquatic ecosystems. To reveal the sources and seasonal variations of NO3- in the coastal groundwater of Beihai, southern China, we carried out hydrochemical and isotopic (δ15N-δ18O in NO3-) investigations in the summer and winter, respectively, concerning multiple-aquifer groundwater, rainwater, seawater, and surface water. The sources of the main elements present in the waters were interpreted by ionic ratios. NO3- sources were identified by combined use of the δ15N values and δ18O values or NO3-/Na+ molar ratios, with estimations of the proportional contribution by the Bayesian stable isotope mixing model. Denitrification was interpreted along the flow paths. The results show groundwater main elements are originated primarily from silicate weathering, and secondarily from anthropogenic inputs and carbonate dissolution. Its qualities are largely affected by seawater intrusion along the coastline. Because of difference in the predominant minerals within the aquifers and in scale and extent of seawater intrusion, the groundwater displays distinct ionic ratio characters. NO3- concentrations are up to 33.9 mg/L, with higher loadings in the plains relative to along the coastline. Soil N, domestic sewage, rainwater, chemical fertilizers, and algae are NO3- sources, with average proportional contributions of 0.255, 0.221, 0.207, 0.202, and 0.116, respectively. In relation to the winter, higher production of NO3- from nitrification of soil N- and algae-derived ammonium induced by higher temperatures in the summer accounts for increases in groundwater NO3- loadings. In the rural areas, elevated loadings of NO3- in the winter may be due to larger infiltration fractions of sewage. Seasonal variations of atmospheric NO3- deposition and farming may also cause the dynamics. Our results improve the understanding of sources and seasonal dynamics of NO3- in coastal groundwater.
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Affiliation(s)
- Ya Wu
- Wuhan Center, China Geological Survey, 430205 Wuhan, China.
| | - Huaiqing Liu
- Wuhan Center, China Geological Survey, 430205 Wuhan, China
| | - Hongxin Zhang
- Wuhan Center, China Geological Survey, 430205 Wuhan, China
| | - Qinghua Li
- Wuhan Center, China Geological Survey, 430205 Wuhan, China.
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2
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Kim H, Kim HS, Kim J, Yang D, Lee K, Kim K, Ock G, Park HG, Robinson RS, Kim MS, Park GH, Kim JH, Kim YI, Lee MH, Park CU, Lim D, Han S, Kim TW. Identifying the external N and Hg inputs to the estuary ecosystem based on the triple isotopic information (δ 15N NO3, Δ 17O NO3 and δ 18O NO3). MARINE POLLUTION BULLETIN 2024; 200:116035. [PMID: 38271917 DOI: 10.1016/j.marpolbul.2024.116035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 01/05/2024] [Accepted: 01/08/2024] [Indexed: 01/27/2024]
Abstract
The supply and sources of N and Hg in the Geum estuary of the western coast of Korea were evaluated. Triple isotope proxies (δ15NNO3, Δ17ONO3 and δ18ONO3) of NO3- combined with conservative mixing between river and ocean waters were used to improve isotope finger-printing methods. The N pool in the Geum estuary was primarily influenced by the Yellow Sea water, followed by riverine discharge (821 × 106 mol yr-1) and atmospheric deposition (51 × 106 mol yr-1). The influence of the river was found to be greater for Hg than that of the atmosphere. The triple isotope proxies revealed that the riverine and atmospheric inputs of N have been affected by septic wastes and fossil fuel burning, respectively. From the inner estuary towards offshore region, the influence of the river diminishes, thus increasing the relative impact of the atmosphere. Moreover, the isotope proxies showed a significant influence of N assimilation in February and nitrification in May.
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Affiliation(s)
- Haryun Kim
- Korea Institute of Ocean Science & Technology, Busan 49111, Republic of Korea; University of Science & Technology, Daejeon 34113, Republic of Korea
| | - Hye Seon Kim
- National Marine Biodiversity Institute of Korea, Seocheon, 33662, Republic of Korea
| | - Jihee Kim
- Korea Institute of Science and Technology, Seoul 02792, Republic of Korea
| | - Dongwoo Yang
- National Marine Biodiversity Institute of Korea, Seocheon, 33662, Republic of Korea
| | - Kitack Lee
- Division of Environmental Science and Engineering, Pohang University of Science & Technology, Pohang 37673, Republic of Korea
| | - Kitae Kim
- Korea Polar Research Institute, 21990 Incheon, Republic of Korea
| | - Giyoung Ock
- National Institute of Ecology, Secheon 33657, Republic of Korea
| | - Hyung-Geun Park
- National Institute of Environmental Research, Incheon 22689, Republic of Korea
| | - Rebecca S Robinson
- Graduate School of Oceanography, University of Rhode Island, Narragansett, RI 02882, USA
| | - Min-Seob Kim
- National Institute of Environmental Research, Incheon 22689, Republic of Korea
| | - Geun-Ha Park
- Korea Institute of Ocean Science & Technology, Busan 49111, Republic of Korea
| | - Ju-Hyoung Kim
- Department of Aquaculture and Aquatic Science, Kunsan National University, Gunsan 54150, Republic of Korea
| | - Young-Il Kim
- Korea Institute of Ocean Science & Technology, Busan 49111, Republic of Korea
| | - Myoung Hoon Lee
- Korea Institute of Ocean Science & Technology, Busan 49111, Republic of Korea
| | - Chae-Un Park
- Korea Institute of Ocean Science & Technology, Busan 49111, Republic of Korea; University of Science & Technology, Daejeon 34113, Republic of Korea
| | - Dhongil Lim
- Korea Institute of Ocean Science & Technology, Busan 49111, Republic of Korea
| | - Seunghee Han
- School of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology, 61005 Gwangju, Republic of Korea.
| | - Tae-Wook Kim
- Division of Environmental Science and Ecological Engineering, Korea University, Seoul 02841, Republic of Korea; OJEong Resilience Institute, Korea University, Seoul 02481, Republic of Korea.
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Chen X, Ren M, Li G, Zhang J, Xie F, Zheng L. Identification of nitrate accumulation mechanism of surface water in a mining-rural-urban agglomeration area based on multiple isotopic evidence. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:169123. [PMID: 38070569 DOI: 10.1016/j.scitotenv.2023.169123] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Revised: 11/28/2023] [Accepted: 12/03/2023] [Indexed: 01/18/2024]
Abstract
The accumulation of nitrate (NO3-) in surface waters resulting from mining activities and rapid urbanization has raised widespread concerns. Therefore, it is crucial to develop a nitrate transformation information system to elucidate the nitrogen cycle and ensure sustainable water quality management. In this study, we focused on the main river and subsidence area of the Huaibei mining region to monitor the temporal and spatial variations in the NO3- content. Multiple isotopes (δD, δ18O-H2O, δ15N-NO3-, δ18O-NO3-, and δ15N-NH4+) along with water chemistry indicators were employed to identify the key mechanisms responsible for nitrate accumulation (e.g., nitrification and denitrification). The NO3- concentrations in surface water ranged from 0.28 to 7.50 mg/L, with NO3- being the predominant form of nitrogen pollution. Moreover, the average NO3- levels were higher during the dry season than during the wet season. Nitrification was identified as the primary process driving NO3- accumulation in rivers and subsidence areas, which was further supported by the linear relationship between δ15N-NO3- and δ15N-NH4+. The redox conditions and the relationship between δ15N-NO3- and δ18O-NO3-, and lower isotope enrichment factor of denitrification indicated that denitrification was weakened. Phytoplankton preferentially utilized available NH4+ sources while inhibiting NO3- assimilation because of their abundance. These findings provide direct evidence regarding the mechanism underlying nitrate accumulation in mining areas, while aiding in formulating improved measures for effectively managing water environments to prevent further deterioration.
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Affiliation(s)
- Xing Chen
- School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei 230601, China; Anhui Province Engineering Laboratory for Mine Ecological Remediation, Anhui University, Hefei 230601, China
| | - Mengxi Ren
- School of Biological and Environmental Engineering, Chaohu University, Chaohu 238000, China; Anhui Province Engineering Laboratory for Mine Ecological Remediation, Anhui University, Hefei 230601, China
| | - Guolian Li
- School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei 230601, China
| | - Jiamei Zhang
- School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei 230601, China
| | - Fazhi Xie
- School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei 230601, China.
| | - Liugen Zheng
- Anhui Province Engineering Laboratory for Mine Ecological Remediation, Anhui University, Hefei 230601, China.
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4
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Yang S, Deng Y, Shu J, Luo X, Peng X, Pan K, Jiang H. Nitrate budget of a terrestrial-to-marine continuum in South China: Insights from isotopes and a Markov chain Monte Carlo model. MARINE POLLUTION BULLETIN 2024; 199:116000. [PMID: 38171166 DOI: 10.1016/j.marpolbul.2023.116000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 12/25/2023] [Accepted: 12/26/2023] [Indexed: 01/05/2024]
Abstract
Anthropogenic nitrate (NO3-) production has been increasing and is exported to the ocean via river networks, causing eutrophication and ecological damage. While studies have focused on river NO3- pollution, what has been lacking is the quantification of the sources of NO3- in coastal rivers. This study applied the dual isotopes (δ15N/δ18O-NO3-) to quantify the sources and their fluxes of NO3- in two inflow rivers of the Qinzhou Bay. By adding our results to the NO3- source apportionment in Qinzhou Bay, we, for the first time, established the NO3- budgets of the terrestrial-to-marine continuum in both high- and low-flow seasons. We quantitatively showed the direct and indirect roles (e.g., the stimulation of nitrification by sewage ammonium-NH4+) of terrestrial sources in driving the high NO3- loading in the estuary. The results highlighted the necessity to consider coastal rivers and estuary as a whole, which could shed light on the effective reduction of NO3- pollution in coastal environments.
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Affiliation(s)
- Shaomei Yang
- Beibu Gulf Marine Ecological Environment Field Observation and Research Station of Guangxi, Marine Environmental Monitoring Centre of Guangxi, Beihai 536000, China
| | - Yan Deng
- Beibu Gulf Marine Ecological Environment Field Observation and Research Station of Guangxi, Marine Environmental Monitoring Centre of Guangxi, Beihai 536000, China
| | - Junlin Shu
- Beibu Gulf Marine Ecological Environment Field Observation and Research Station of Guangxi, Marine Environmental Monitoring Centre of Guangxi, Beihai 536000, China
| | - Xin Luo
- Beibu Gulf Marine Ecological Environment Field Observation and Research Station of Guangxi, Marine Environmental Monitoring Centre of Guangxi, Beihai 536000, China
| | - Xiaoyan Peng
- Beibu Gulf Marine Ecological Environment Field Observation and Research Station of Guangxi, Marine Environmental Monitoring Centre of Guangxi, Beihai 536000, China
| | - Ke Pan
- Shenzhen Key Laboratory of Marine Microbiome Engineering, Institute for Advanced Study, Shenzhen University, Shenzhen 518060, China
| | - Hao Jiang
- Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China; Danjiangkou Wetland Ecosystem Field Scientific Observation and Research Station, The Chinese Academy of Sciences & Hubei Province, Wuhan 430074, China; Hubei Key Laboratory of Wetland Evolution & Ecological Restoration, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China.
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5
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Niu J, Feng Z, He M, Xie M, Lv Y, Zhang J, Sun L, Liu Q, Hu BX. Incorporating marine particulate carbon into machine learning for accurate estimation of coastal chlorophyll-a. MARINE POLLUTION BULLETIN 2023; 192:115089. [PMID: 37267869 DOI: 10.1016/j.marpolbul.2023.115089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 05/18/2023] [Accepted: 05/19/2023] [Indexed: 06/04/2023]
Abstract
Accurate predictions of coastal ocean chlorophyll-a (Chl-a) concentrations are necessary for dynamic water quality monitoring, with eutrophication as a critical factor. Prior studies that used the driven-data method have typically overlooked the relationship between Chl-a and marine particulate carbon. To address this gap, marine particulate carbon was incorporated into machine learning (ML) and deep learning (DL) models to estimate Chl-a concentrations in the Yang Jiang coastal ocean of China. Incorporating particulate organic carbon (POC) and particulate inorganic carbon (PIC) as predictors can lead to successful Chl-a estimation. The Gaussian process regression (GPR) model significantly outperforming the DL model in terms of stability and robustness. A lower POC/Chl-a ratio was observed in coastal areas, in contrast to the higher ratios detected in the southern regions of the study area. This study highlights the efficacy of the GPR model for estimating Chl-a and the importance of considering POC in modeling Chl-a concentrations.
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Affiliation(s)
- Jie Niu
- College of Resources and Environmental Engineering, Guizhou University, Guiyang 550025, China
| | - Ziyang Feng
- Research Center of Red Tides and Marine Biology, College of Life Science and Technology, Jinan University, Guangzhou 510632, China
| | - Mingxia He
- School of Water Resources and Environment, China University of Geosciences, Beijing 10083, China.
| | - Mengyu Xie
- School of Environment, Jinan University, Guangzhou 510632, China
| | - Yanqun Lv
- School of Environment, Jinan University, Guangzhou 510632, China
| | - Juan Zhang
- College of Geographic and Environmental Science, Tianjin Normal University, Tianjin 300387, China
| | - Liwei Sun
- Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Qi Liu
- Research Center of Red Tides and Marine Biology, College of Life Science and Technology, Jinan University, Guangzhou 510632, China
| | - Bill X Hu
- School of Water Conservancy and Environment, University of Jinan, Jinan 250022, China
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6
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Long R, Tian F, Chen JH, Zhou YB, Li XF, Li YT, Tang HW, Chen HG. Source apportionment of nitrate in the Pearl River Estuary using δ 15N and δ 18O values and isotope mixing model. MARINE POLLUTION BULLETIN 2023; 191:114962. [PMID: 37146549 DOI: 10.1016/j.marpolbul.2023.114962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 04/11/2023] [Accepted: 04/15/2023] [Indexed: 05/07/2023]
Abstract
The mitigation of eutrophication in the Pearl River Estuary (PRE) has encountered numerous challenges in regards to source control. Herein, the isotope mixing model (SIAR) was used to quantify the primary nitrate sources in the PRE. The results showed that the nitrate levels were significantly higher in the high-flow season than in the low-flow season. Meanwhile, we found the most important nitrate sources were manure and sewage during the high-flow season, with a contribution ratio of 47 % in the low salt area (LSA) and 29 % in the high salt area (HSA). During the low-flow season, the primary nitrate sources were identified as reduced nitrogen fertilizer in the LSA and manure and sewage in the HSA, which accounted for 52 % and 44 %, respectively. Furthermore, we also suggest that a feasible measure might be to control the pollution caused in the PRE by manure and sewage as well as reduced nitrogen fertilizer.
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Affiliation(s)
- Ran Long
- Guangdong Provincial Key Laboratory of Fishery Ecology and Environment, Scientific Observing and Experimental Station of South China Sea Fishery Resource and Environment, Ministry of Agriculture and Rural Affairs, Scientific Observation and Research Field Station of Pearl River Estuary Ecosystem, Guangdong Province, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Science, Guangzhou 510300, China; Jiangsu Key Laboratory of Marine Biotechnology, College of Marine Science and Fisheries, Jiangsu Ocean University, Lianyungang 222005, China
| | - Fei Tian
- Guangdong Provincial Key Laboratory of Fishery Ecology and Environment, Scientific Observing and Experimental Station of South China Sea Fishery Resource and Environment, Ministry of Agriculture and Rural Affairs, Scientific Observation and Research Field Station of Pearl River Estuary Ecosystem, Guangdong Province, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Science, Guangzhou 510300, China
| | - Jian-Hua Chen
- Jiangsu Key Laboratory of Marine Biotechnology, College of Marine Science and Fisheries, Jiangsu Ocean University, Lianyungang 222005, China
| | - Yan-Bo Zhou
- Guangdong Provincial Key Laboratory of Fishery Ecology and Environment, Scientific Observing and Experimental Station of South China Sea Fishery Resource and Environment, Ministry of Agriculture and Rural Affairs, Scientific Observation and Research Field Station of Pearl River Estuary Ecosystem, Guangdong Province, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Science, Guangzhou 510300, China.
| | - Xue-Fei Li
- Offshore Environmental Technology & Services Limited, Beijing 100027, China
| | - Yi-Tong Li
- Guangdong Provincial Key Laboratory of Fishery Ecology and Environment, Scientific Observing and Experimental Station of South China Sea Fishery Resource and Environment, Ministry of Agriculture and Rural Affairs, Scientific Observation and Research Field Station of Pearl River Estuary Ecosystem, Guangdong Province, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Science, Guangzhou 510300, China
| | - Hai-Wei Tang
- Guangdong Provincial Key Laboratory of Fishery Ecology and Environment, Scientific Observing and Experimental Station of South China Sea Fishery Resource and Environment, Ministry of Agriculture and Rural Affairs, Scientific Observation and Research Field Station of Pearl River Estuary Ecosystem, Guangdong Province, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Science, Guangzhou 510300, China
| | - Hai-Gang Chen
- Guangdong Provincial Key Laboratory of Fishery Ecology and Environment, Scientific Observing and Experimental Station of South China Sea Fishery Resource and Environment, Ministry of Agriculture and Rural Affairs, Scientific Observation and Research Field Station of Pearl River Estuary Ecosystem, Guangdong Province, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Science, Guangzhou 510300, China.
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7
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Zhu Z, Hossain KB, Wei H, Jia R, Gao X, Jin H, Cai M. Distribution and sources of microplastics in the Beibu Gulf using in-situ filtration technique. MARINE POLLUTION BULLETIN 2023; 188:114614. [PMID: 36736250 DOI: 10.1016/j.marpolbul.2023.114614] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 01/07/2023] [Accepted: 01/09/2023] [Indexed: 06/18/2023]
Abstract
The Beibu Gulf is a vital link between China and the ASEAN nations, and microplastic contamination is rising due to fast growth, coastal life, fisheries, and mariculture. The abundance, distribution, and source analyses were conducted at 25 sample points for this study. According to this study, the average MPs was 0.25 ± 0.05 items/m3, ranging from 0.01 items/m3 to 0.89 items/m3. Fibers, white, cellulose, and 0.33-1 mm were abundant in shape, color, composition, and size, respectively. Multi-statistics-based source analysis indicated land-based inputs (packing materials, textile materials, fisheries, and mariculture) were dominant in the Beibu Gulf. In this study, we also acknowledged a comprehensive comparison and convenience between plankton pumps and other conventional designs to collect microplastic samples from water. We suggested that using a uniform design could elevate the data quality of microplastics.
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Affiliation(s)
- Zuhao Zhu
- Guangxi Key Laboratory of Beibu Gulf Marine Resources, Environment and Sustainable Development, Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai, PR China; Key Laboratory of Tropical Marine Ecosystem and Bioresource, Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai, PR China
| | - Kazi Belayet Hossain
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen 361102, PR China; Coastal and Ocean Management Institute, Xiamen University, Xiamen 361102, PR China; College of Environment and Ecology, Xiamen University, Xiamen 361102, PR China
| | - Huihua Wei
- Guangxi Key Laboratory of Beibu Gulf Marine Resources, Environment and Sustainable Development, Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai, PR China; Key Laboratory of Tropical Marine Ecosystem and Bioresource, Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai, PR China
| | - Renming Jia
- Guangxi Key Laboratory of Beibu Gulf Marine Resources, Environment and Sustainable Development, Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai, PR China; Key Laboratory of Tropical Marine Ecosystem and Bioresource, Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai, PR China
| | - Xiaofeng Gao
- Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, College of Environment and Ecology, Chongqing University, Chongqing, 400045, China
| | - Haiyan Jin
- Guangxi Key Laboratory of Beibu Gulf Marine Resources, Environment and Sustainable Development, Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai, PR China; Key Laboratory of Tropical Marine Ecosystem and Bioresource, Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai, PR China; Key Laboratory of Marine Ecosystem Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, PR China
| | - Minggang Cai
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen 361102, PR China; College of Ocean and Earth Science, Xiamen University, Xiamen 361102, PR China; Coastal and Ocean Management Institute, Xiamen University, Xiamen 361102, PR China; College of Environment and Ecology, Xiamen University, Xiamen 361102, PR China.
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8
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Lao Q, Wu J, Chen F, Zhou X, Li Z, Chen C, Zhu Q, Deng Z, Li J. Increasing intrusion of high salinity water alters the mariculture activities in Zhanjiang Bay during the past two decades identified by dual water isotopes. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 320:115815. [PMID: 35926386 DOI: 10.1016/j.jenvman.2022.115815] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 04/26/2022] [Accepted: 07/18/2022] [Indexed: 06/15/2023]
Abstract
The decrease of river runoff caused by the intensified human activities (e.g. artificial dams) and increasing intrusion of high salinity water in the coastal bays have become a worldwide environmental problem. However, the mixing can hardly be identified by traditional method with temperature and salinity due to the complicated water sources in the coastal area. Thus, it is difficult to quantify the impact of intrusion of high salinity water on coastal ecological environment. Here, seasonal dual water isotopes (δD and δ18O), hydrographic parameters, and nutrients were investigated in a typical semi-enclosed mariculture bay in South China Sea (SCS), to quantify the intrusion of high salinity water and its impact on the water environment. The results showed that salinity in the bay has increased significantly (18%) over the past two decades due to the decrease of runoff and dredging activity. Zhanjiang Bay is mainly affected by the seawater from the SCS in outer bay, and the seawater from the outer bay (89%) was significantly higher than that of freshwater (7%) in summer, despite the increase in freshwater input from the river during this period. In winter, the intrusion of high salinity water increased (accounting for 94%) due to the decrease of runoff input. However, the contribution of groundwater was similar in summer (4%) and winter (5%). The estimation results from the relationship of δ18O-salinity and δD-salinity showed that the intrusion of high salinity water has increased significantly for the past two decades (increased by 23%). This resulted in the area suitable for oyster breeding is decreasing, and the oyster breeding activities have been gradually moving to the inner bay. Moreover, the nutrients in Zhanjiang Bay were mainly originated from freshwater input in summer (54%-90%), while it changed to the SCS input from the outer bay in winter (40%-97%). This study suggests that the intrusion of high salinity water significantly increases the salinity, and seriously retains the pollutants of freshwater in the bay, which poses a great threat to the oyster breeding activities in the semi-enclosed bay.
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Affiliation(s)
- Qibin Lao
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, 524088, China; Guangdong Province Key Laboratory for Coastal Ocean Variation and Disaster Prediction, Guangdong Ocean University, Zhanjiang, 524088, China
| | - Junhui Wu
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, 524088, China; Guangdong Province Key Laboratory for Coastal Ocean Variation and Disaster Prediction, Guangdong Ocean University, Zhanjiang, 524088, China
| | - Fajin Chen
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, 524088, China; Guangdong Province Key Laboratory for Coastal Ocean Variation and Disaster Prediction, Guangdong Ocean University, Zhanjiang, 524088, China; Key Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Guangdong Ocean University, Zhanjiang, 524088, China.
| | - Xin Zhou
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, 524088, China; Guangdong Province Key Laboratory for Coastal Ocean Variation and Disaster Prediction, Guangdong Ocean University, Zhanjiang, 524088, China
| | - Zhiyang Li
- Guangdong AIB Polytechnic College, Guangzhou, 551507, China
| | - Chunqing Chen
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, 524088, China; Guangdong Province Key Laboratory for Coastal Ocean Variation and Disaster Prediction, Guangdong Ocean University, Zhanjiang, 524088, China
| | - Qingmei Zhu
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, 524088, China; Guangdong Province Key Laboratory for Coastal Ocean Variation and Disaster Prediction, Guangdong Ocean University, Zhanjiang, 524088, China; Key Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Guangdong Ocean University, Zhanjiang, 524088, China
| | - Ziyun Deng
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, 524088, China; Guangdong Province Key Laboratory for Coastal Ocean Variation and Disaster Prediction, Guangdong Ocean University, Zhanjiang, 524088, China
| | - Jiacheng Li
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, 524088, China; Guangdong Province Key Laboratory for Coastal Ocean Variation and Disaster Prediction, Guangdong Ocean University, Zhanjiang, 524088, China
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9
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Chen F, Lao Q, Liu M, Huang P, Chen B, Zhou X, Chen P, Chen K, Song Z, Cai M. Impact of intensive mariculture activities on microplastic pollution in a typical semi-enclosed bay: Zhanjiang Bay. MARINE POLLUTION BULLETIN 2022; 176:113402. [PMID: 35150985 DOI: 10.1016/j.marpolbul.2022.113402] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 01/18/2022] [Accepted: 01/25/2022] [Indexed: 06/14/2023]
Abstract
Microplastic (MP) was investigated in Zhanjiang Bay, a semi-enclosed bay in south China and famous for considerable mariculture industry, to evaluate whether mariculture activities accelerated MP pollution. The MP abundances ranged from 0 to 2.65 n/m3 (number/m3), showing seasonal variances with higher levels in May and September and lower levels in January. In the inner part of the bay, a significantly high MP abundance and predominance of foam were found during the oyster breeding period, and pollution sources were prone to be single and extensive. This suggested that MPs were strongly influenced by the intensive plastic products for oyster culturing, especially during breeding. Moreover, plastic cages used for culturing were the main source of MPs in the central part of the bay. By conducting statistical analysis for eight representative bays, the economic growth, social development, agriculture structure, and aquaculture development were supposed to influence the local MP pollution level.
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Affiliation(s)
- Fajin Chen
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China
| | - Qibin Lao
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China; Marine Environmental Monitoring Centre of Beihai, State Oceanic Administration, Beihai 266031, China
| | - Mengyang Liu
- College of Ocean and Earth Sciences, Xiamen University, Xiamen 361102, China
| | - Peng Huang
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China; College of Ocean and Earth Sciences, Xiamen University, Xiamen 361102, China
| | - Bin Chen
- Coastal and Ocean Management Institute, Xiamen University, Xiamen 361102, China
| | - Xin Zhou
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China
| | - Piao Chen
- Coastal and Ocean Management Institute, Xiamen University, Xiamen 361102, China
| | - Kai Chen
- College of Ocean and Earth Sciences, Xiamen University, Xiamen 361102, China
| | - Zhiguang Song
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China
| | - Minggang Cai
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China; College of Ocean and Earth Sciences, Xiamen University, Xiamen 361102, China; Coastal and Ocean Management Institute, Xiamen University, Xiamen 361102, China.
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10
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Luo M, Zhang Y, Li H, Hu W, Xiao K, Yu S, Zheng C, Wang X. Pollution assessment and sources of dissolved heavy metals in coastal water of a highly urbanized coastal area: The role of groundwater discharge. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 807:151070. [PMID: 34699837 DOI: 10.1016/j.scitotenv.2021.151070] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Revised: 10/09/2021] [Accepted: 10/14/2021] [Indexed: 06/13/2023]
Abstract
Heavy metal concentrations and physicochemical parameters in coastal waters were measured to analyze the spatial distribution characteristics, pollution degrees, and sources of heavy metals in the heavily urbanized Guangdong-Hong Kong-Macao Greater Bay Area (GBA) in China. Heavy metal concentrations in the eastern GBA were higher than those in the west, and the levels of Pb and Zn in seawater were higher than those in groundwater and river water. Both the pollution factors and comprehensive water quality index demonstrated that seawater was not contaminated with As, Cd, Cr, and Ni, whereas low to considerable levels of contamination of Pb and Zn were observed in the central and eastern sections of the GBA. Multiple statistical analyses suggested that the Pb and Zn contaminations in seawater were probably derived from atmospheric deposition and human activities, and the excess amounts of As, Cd, Cu, Ni, and Zn in groundwater were attributed to anthropogenic activities. The heavy metal fluxes from submarine groundwater discharge (SGD) were comparable to, or even greater than, those from local rivers. Therefore, SGD is a significant invisible contributor of heavy metals into the coastal ocean that has often been overlooked in comparison to other visible pollution sources. This study suggests that SGD should be considered in the assessment of heavy metal pollution and future water quality management protocols in marine ecosystems.
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Affiliation(s)
- Manhua Luo
- MOE Key Laboratory of Groundwater Circulation and Environment Evolution and School of Water Resources and Environment, China University of Geosciences (Beijing), Beijing 100083, China
| | - Yan Zhang
- MOE Key Laboratory of Groundwater Circulation and Environment Evolution and School of Water Resources and Environment, China University of Geosciences (Beijing), Beijing 100083, China
| | - Hailong Li
- MOE Key Laboratory of Groundwater Circulation and Environment Evolution and School of Water Resources and Environment, China University of Geosciences (Beijing), Beijing 100083, China; State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Wenli Hu
- State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Kai Xiao
- State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Shengchao Yu
- State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Chunmiao Zheng
- State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Xuejing Wang
- State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
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11
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Chen F, Lu X, Song Z, Huang C, Jin G, Chen C, Zhou X, Lao Q, Zhu Q. Coastal currents regulate the distribution of the particulate organic matter in western Guangdong offshore waters as evidenced by carbon and nitrogen isotopes. MARINE POLLUTION BULLETIN 2021; 172:112856. [PMID: 34425368 DOI: 10.1016/j.marpolbul.2021.112856] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 08/02/2021] [Accepted: 08/10/2021] [Indexed: 06/13/2023]
Abstract
The δ13C, δ15N and C/N ratio of the particulate organic matter (POM) in western Guangdong waters were determined to evaluate the impacts of the coastal currents on the POM in spring and summer. The predominance of photosynthetic organic matter in the nearshore was triggered by nutrients brought by the coastal currents in spring and summer, while the proportion of terrestrial organic matter in the offshore was very high in spring but low in summer. In spring, the weaker and narrower coastal currents carried insufficient nutrients (phosphate deficiency) to the offshore and prohibited phytoplankton production. This scenario contributes to the dominance of terrestrial organic matter transported by the cyclonic circulation beyond the coastal currents in the offshore in spring. The Bayesian mixing model reveals that the proportion of terrestrial organic matter (with 75.8% of C3 plants) in the offshore was higher in spring than in summer (with 33.7% of C3 plants).
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Affiliation(s)
- Fajin Chen
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China; College of Chemistry and Environment, Guangdong Ocean University, Zhanjiang 524088, China
| | - Xuan Lu
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China; College of Chemistry and Environment, Guangdong Ocean University, Zhanjiang 524088, China
| | - Zhiguang Song
- College of Chemistry and Environment, Guangdong Ocean University, Zhanjiang 524088, China.
| | - Chao Huang
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China
| | - Guangzhe Jin
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China
| | - Chunqing Chen
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China
| | - Xin Zhou
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China; College of Chemistry and Environment, Guangdong Ocean University, Zhanjiang 524088, China
| | - Qibin Lao
- Marine Environmental Monitoring Centre of Beihai, State Oceanic Administration, Beihai 266031, China
| | - Qingmei Zhu
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China; College of Chemistry and Environment, Guangdong Ocean University, Zhanjiang 524088, China
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12
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Seasonal Sources and Cycling of Nitrogen Revealed by Stable Isotopes in the Northeastern Beibu Gulf, China. JOURNAL OF MARINE SCIENCE AND ENGINEERING 2021. [DOI: 10.3390/jmse9101123] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Isotope measurements were performed on dissolved nitrate (NO3−) and ammonium (NH4+) in the coastal waters of the northeastern Beibu Gulf, China, to investigate the seasonal nitrate sources and their biogeochemical processes, which are due to the rapid development of local industrialisation and urbanisation. The high N/P ratio observed in the coastal bay during both fall and spring suggests that P is a limiting nutrient, which in turn indicates that increasing P causes conditions favourable for algal blooms. Higher nutrient concentrations and δ15N-NO3− and δ15N-NH4+ values were found in the nearshore area in the fall, suggesting that nutrients originated mainly from land-based pollution. A Bayesian isotope mixing model was used to calculate the contribution of potential NO3− sources and the results showed that in the nearshore area, NO3− originated mainly from manure and sewage (58%). In the spring, however, in addition to the impact of urban sewage effluents, the exchange of sediment and water was another important factor causing higher nutrient concentrations and positive NO3− isotopes in the nearshore area. There were lower concentrations of nutrients and an increase in δ15N-NO3− and δ15N-NH4+ values in the offshore area in the fall, and the NO3− loss in the surface water was mainly caused by the process of assimilation. However, the exchange of sediment and water was the dominant factor causing higher nutrient concentrations (except for NO3−) and positive dual nitrate isotopes but lower NO3− concentration in the offshore area during the spring. Overall, isotope analysis of NO3− and NH4+ helps to illustrate the major sources of the former and their biological transformation in the northeastern Beibu Gulf.
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13
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Lu X, Huang C, Chen F, Zhang S, Lao Q, Chen C, Wu J, Jin G, Zhu Q. Carbon and nitrogen isotopic compositions of particulate organic matter in the upwelling zone off the east coast of Hainan Island, China. MARINE POLLUTION BULLETIN 2021; 167:112349. [PMID: 33865044 DOI: 10.1016/j.marpolbul.2021.112349] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 03/31/2021] [Accepted: 04/02/2021] [Indexed: 06/12/2023]
Abstract
The isotopic compositions (δ13C and δ15N) and C/N ratios of suspended particulate organic matter (POM) were investigated off the east coast of Hainan Island in the South China Sea during summer. Coastal upwelling influenced the nearshore stations of transects S2 and S3, and higher δ13C and δ15N values suggested that coastal upwelling played a significant role in determining the POM sources. The POM at the nearshore area of transect S1 was controlled by the coastal current and freshwater discharge. Additionally, organic matter may be transported to the offshore area via tidal movements in transects S1 and S3. Based on the stable isotope analysis in an R model, the marine organic matter contribution in the upwelling area (19%) was higher than that in the other areas (transect S1 and the offshore area) (7%). The δ13C and δ15N values and C/N ratios reflect the carbon and nitrogen sources and their cycling in the upwelling zone off the east coast of Hainan Island.
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Affiliation(s)
- Xuan Lu
- Institute of Marine Science, Shantou University, Shantou 515063, China; College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China
| | - Chao Huang
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China
| | - Fajin Chen
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China
| | - Shuwen Zhang
- Institute of Marine Science, Shantou University, Shantou 515063, China.
| | - Qibin Lao
- Marine Environmental Monitoring Centre of Beihai, State Oceanic Administration, Beihai 266031, China
| | - Chunqing Chen
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China
| | - Junhui Wu
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China
| | - Guangzhe Jin
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China
| | - Qingmei Zhu
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China
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Zhang X, Zhang Y, Shi P, Bi Z, Shan Z, Ren L. The deep challenge of nitrate pollution in river water of China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 770:144674. [PMID: 33513508 DOI: 10.1016/j.scitotenv.2020.144674] [Citation(s) in RCA: 87] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 11/24/2020] [Accepted: 12/16/2020] [Indexed: 06/12/2023]
Abstract
Nitrate pollution of surface water has attracted global attention, and the issue is becoming increasingly significant in China. To identify the pollution status, sources, and potential non-carcinogenic health risks of nitrate in China's river water, nitrate data from 71 major rivers from 30 provinces were systematically collected. The spatial distribution of nitrate concentrations in river water was analyzed, and the main nitrate pollution sources were revealed based on the presence of nitrogen and oxygen isotopes of nitrate. The results show that approximately 7.83% of samples in China exceeded the national drinking water standard for nitrate (45 mg/L). The concentrations of nitrate in Mudan River (Linkou County), Haihe (Beijing), and Yangtze River estuary (Shanghai) exceed 90 mg/L, which indicates severe pollution. The characteristic values of δ15N and δ18O of river water in China range from -23.5‰ to 26.99‰ and - 12.7‰ to 83.5‰, indicate many sources including inorganic fertilizer, soil nitrogen, wastewater or manure. The primary sources of nitrate in river water of Northeast, Northwest, Southwest, and South China were manure, septic waste, inorganic fertilizer, and soil organic matter nitrification. Manure and septic waste were the major source of nitrate in Central, East, and North China. Correlation analysis revealed that the nitrate concentrations of surface water has a positive relationship with GDP, nitrogen fertilizer application usage, wastewater discharge, and population in China. Non-carcinogenic risk of nitrate was identified in 80% of the regions in China, and potential moderate non-carcinogenic risk areas are Shanghai, Beijing, and Shaanxi. It is urgent to solve the problem of pollution and prevent the further pollution of China's river water. Though the new "10-point Water Plan" issued by the Chinese government solved previous problems, it will take decades to control and repair polluted surface water.
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Affiliation(s)
- Xin Zhang
- Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China
| | - Yan Zhang
- Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China.
| | - Peng Shi
- State Key Laboratory of Eco-hydraulics in Northwest Arid Region, Xi'an University of Technology, Xi'an 710048, China
| | - Zhilei Bi
- Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China
| | - Zexuan Shan
- Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China
| | - Lijiang Ren
- Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China
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15
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Wang X, Zhang Y, Luo M, Xiao K, Wang Q, Tian Y, Qiu W, Xiong Y, Zheng C, Li H. Radium and nitrogen isotopes tracing fluxes and sources of submarine groundwater discharge driven nitrate in an urbanized coastal area. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 763:144616. [PMID: 33385844 DOI: 10.1016/j.scitotenv.2020.144616] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Revised: 12/03/2020] [Accepted: 12/17/2020] [Indexed: 06/12/2023]
Abstract
The quantitative evaluations of nutrients delivered by submarine groundwater discharge (SGD) have been widely conducted worldwide, but sources of nutrients in the discharged submarine groundwater remain unclear. Identifying these sources of nutrients is essential to the protection and management of marine ecological environments. This study aims to evaluate the magnitudes of SGD and the associated nitrate in the Guangdong-Hongkong-Macao Greater Bay Area (GHM Greater Bay Area), China, and identify the sources of SGD-driven nitrate in this region using radioactive radium (Ra) isotopes (223Ra, 224Ra, and 228Ra) and stable nitrogen (N) and oxygen (O) isotope composition of nitrate (δ15N-NO3- and δ18O-NO3-). The results of the Ra mixing model show that the estimated SGD and the associated nitrate fluxes into the Greater Bay Area are (9.15 ± 1.26) × 108 m3/d and (3.77 ± 0.52) × 107 mol/d, respectively, both of which are comparable to the contributions from the Pearl River. Combing NO3- dual isotopic signatures of sampled coastal groundwater and five kinds of potential nitrate sources, we found that ammonium (NH4+) fertilizer and natural soil N are the two main sources of nitrate in discharged submarine groundwater and rivers. No anthropogenic inputs from manure or sewage waste were identified. This study provides significant insights into the establishment of effective management strategies for controlling SGD-nutrients into the bay and protecting the marine ecological environment.
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Affiliation(s)
- Xuejing Wang
- State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
| | - Yan Zhang
- MOE Key Laboratory of Groundwater Circulation & Environment Evolution and School of Water Resources and Environment, China University of Geosciences (Beijing), Beijing 100083, China
| | - Manhua Luo
- MOE Key Laboratory of Groundwater Circulation & Environment Evolution and School of Water Resources and Environment, China University of Geosciences (Beijing), Beijing 100083, China
| | - Kai Xiao
- State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Qianqian Wang
- State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Yong Tian
- State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Wenhui Qiu
- State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Ying Xiong
- State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Chunmiao Zheng
- State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Hailong Li
- State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China; MOE Key Laboratory of Groundwater Circulation & Environment Evolution and School of Water Resources and Environment, China University of Geosciences (Beijing), Beijing 100083, China.
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16
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Assessing Seasonal Nitrate Contamination by Nitrate Dual Isotopes in a Monsoon-Controlled Bay with Intensive Human Activities in South China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17061921. [PMID: 32187974 PMCID: PMC7143224 DOI: 10.3390/ijerph17061921] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 03/11/2020] [Accepted: 03/13/2020] [Indexed: 11/26/2022]
Abstract
Nitrate (NO3−) dual isotope analysis was performed in Zhanjiang Bay, which is a closed bay with intensive human activities in South China, to investigate seasonal changes in the main NO3− sources and their biogeochemical processes in the monsoon-controlled climate. The relatively low N/P ratios in Zhanjiang Bay suggests that nitrogen (N) is a limiting nutrient, which indicates that the increase of N is favorable for phytoplankton proliferation. However, a sufficient amount of ammonium was found in our study area owing to intensive human activities, which can support biological processes. Thus, less NO3− biological processes were found, indicating that NO3− isotopic characteristics may reveal details of the mixing from various sources. The Bayesian mixing model showed that NO3− in the upper bay originated from manure (43%), soil N (30%), N fertilizer (17%), and N precipitation (10%) during winter, which reflects the local human activities; while NO3- sources during summer were mainly N fertilizer (36%), soil N (32%), and manure (31%), indicating the source as the runoff from the upper river basin. Our results suggest that nitrate dual-isotope was very useful for tracing the main NO3− sources in the condition of the sufficient ammonium, and runoff exerted an important impact on the shift in NO3− sources between both the local source and the source from the upper river basin during the two seasons in this monsoon-controlled bay.
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17
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Jiang C, Cao R, Lao Q, Chen F, Zhang S, Bian P. Typhoon Merbok induced upwelling impact on material transport in the coastal northern South China Sea. PLoS One 2020; 15:e0228220. [PMID: 32045408 PMCID: PMC7012404 DOI: 10.1371/journal.pone.0228220] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Accepted: 01/09/2020] [Indexed: 11/29/2022] Open
Abstract
Typhoons frequently affect the South China Sea (SCS), playing an important role in changing the coastal marine system. To determine which process has the greatest impact on material transport in the coastal marine area during a typhoon, the sea temperature, salinity, concentration of nutrients, chlorophyll-a, total suspended matter, and δ13C of particulate organic carbon (δ13C-POC) in the water column of coastal Northern SCS (NSCS) were measured during two cruises in June 2017, in the pre- and post-typhoon Merbok periods. The results show that all parameters changed significantly between the two periods. During the pre-typhoon period, stratification of nutrients and physicochemical parameters, combined to high nutrient concentrations, high temperature, and low salinity in the water column of the nearshore area, suggests that the nearshore area is influenced by the river diluted water originated in the coastal cities adjacent to our study area. In the offshore area, mineralization may be responsible for the high nutrient concentration in the bottom water. However, during the post-typhoon, the stratification of nutrients is less significant and their distribution more homogenous in the whole water column of the nearshore area. In the upper water, the nutrient concentration increased and the temperature decreased significantly. These results suggest that the enhanced vertical mixing induced by the typhoon was the dominant process in changing the nutrient distribution pattern in the coastal NSCS.
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Affiliation(s)
- Chen Jiang
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, China
- Guangdong Province Key Laboratory for Coastal Ocean Variation and Disaster Prediction, Guangdong Ocean University, Zhanjiang, China
| | - Ruixue Cao
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, China
- Guangdong Province Key Laboratory for Coastal Ocean Variation and Disaster Prediction, Guangdong Ocean University, Zhanjiang, China
| | - Qibin Lao
- Marine Environmental Monitoring Centre of Beihai, State Oceanic Administration, Beihai, China
| | - Fajin Chen
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, China
- Guangdong Province Key Laboratory for Coastal Ocean Variation and Disaster Prediction, Guangdong Ocean University, Zhanjiang, China
- * E-mail: (FC); (SZ)
| | - Shuwen Zhang
- Institute of Marine Science, Shantou University, Shantou, China
- * E-mail: (FC); (SZ)
| | - Peiwang Bian
- College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, China
- Guangdong Province Key Laboratory for Coastal Ocean Variation and Disaster Prediction, Guangdong Ocean University, Zhanjiang, China
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18
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Analysis of Dissolved Oxygen and Nutrients in Zhanjiang Bay and the Adjacent Sea Area in Spring. SUSTAINABILITY 2020. [DOI: 10.3390/su12030889] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
As a semi-closed bay with narrow bay mouths, the distribution of nutrients in Zhanjiang Bay was different from bays with open bay mouths and rivers with large flows. It is important to study the water quality of Zhanjiang Bay to determine the impact of human activities on this semi-closed bay. Based on field survey data in spring, the spatial distribution of nutrients and other physico-chemical parameters was investigated, in order to study the geochemical characteristics of nutrients in semi-closed bays. Higher nutrient concentrations were observed in the inner and outer bays, but lower concentrations were observed at the bay mouth. With other analyses of physico-chemical parameters, the higher nutrient concentrations in the inner bay originated mainly from the diluted freshwater input from local developments and rivers. With the strong flow that exists along the western coast of Guangdong Province, the higher dissolved inorganic nitrogen (DIN) and SiO3–Si concentrations along the outer bay may be influenced by discharge from local cities in western Guangdong Province. There was stronger phytoplankton assimilation at the bay mouth, which resulted in reduced nutrient concentrations in this area. Although the hydrographic characteristics between the inner bay and outer bay were significantly different, the distribution of chlorophyll-a (Chla) levels was similar. However, we found significantly low dissolved oxygen (DO) and high apparent oxygen utilisation (AOU) consumption levels in the inner bay, and high DO and low AOU levels in the outer bay, which suggested that decomposition was more important than photosynthesis in the closed bay, even in spring during the phytoplankton bloom.
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