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Wang HW, Dhian BA. Hydrodynamics- and remote sensing-based model for estimating the effects of cohesive sediment transport on lagoon siltation in Southwestern Taiwan. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 955:176853. [PMID: 39393691 DOI: 10.1016/j.scitotenv.2024.176853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 09/01/2024] [Accepted: 10/08/2024] [Indexed: 10/13/2024]
Abstract
This study investigates localized siltation in the Cigu Lagoon, Southwestern Taiwan, using an integrated approach of hydrodynamic modeling and remote sensing. In regions where in situ data is scarce, remote sensing provides critical complementary data inputs for our sediment model. We employed a multilayered mud sediment model, incorporating initial suspended sediment concentration (SSC) data derived from Landsat imagery, to identify the morphological changes taking place in the lagoon. Over the past few decades, sandbar migration and sedimentation have led to a significant shrinkage of the Cigu Lagoon, which is now at risk of disappearing if a full understanding of the underlying factors is not reached. The loss of the lagoon would have severe implications for the local ecosystem and habitat, as well as for the fishermen who rely on the lagoon for their livelihoods. Our results showed that sedimentation in the Cigu Lagoon is a compounded consequence of the action of the tidal cycle and of waves. Throughout the simulation period, the SSC in the Cigu Lagoon ranged from 1 g m -3 to 50 g m -3. The annual siltation rate of the lagoon due to cohesive sediment transport was 0.82 cm. The simulation results showed that the siltation mainly occurred during the winter, with the dominant factor being the frequent strong waves at this time of year. This study suggests that a management plan for the Cigu Lagoon must be devised and implemented, and that remote sensing and hydrodynamic modeling are valuable tools in communicating about the complex processes involved in a sedimentary system and informing relevant decision-making at the stage of management.
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Affiliation(s)
- Hsiao-Wen Wang
- Department of Hydraulic and Ocean Engineering, National Cheng Kung University, Tainan City 701, Taiwan, ROC
| | - Benedict Andrew Dhian
- Department of Hydraulic and Ocean Engineering, National Cheng Kung University, Tainan City 701, Taiwan, ROC.
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Li X, Yang J, Zhao Y, Zhou S, Wu Y. Prediction and assessment of marine fisheries carbon sink in China based on a novel nonlinear grey Bernoulli model with multiple optimizations. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 914:169769. [PMID: 38181964 DOI: 10.1016/j.scitotenv.2023.169769] [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: 07/11/2023] [Revised: 12/17/2023] [Accepted: 12/28/2023] [Indexed: 01/07/2024]
Abstract
The vigorous development of marine fisheries carbon sinks (MFCS) has become a momentous pathway to mitigate global warming and effectively cope with the climate crisis. Deservedly, based on clarifying mechanism of carbon sequestration, this paper designs a research paradigm for predicting and evaluating the potential of MFCS. Specifically, a novel nonlinear grey Bernoulli model, namely MFCSNGBM(1,1), is proposed by innovatively mining the original data law through adaptive cumulative series and introducing the compound Simpson formula to optimize background values. More precisely, we utilize a heuristic Grey Wolf Optimization algorithm to find the best power index, which enhances the adaptability. To prove usefulness and robustness of MFCSNGBM(1,1) model, yields of seven common shellfishes (oyster, clam, mussel, scallop, razor clam, bloody clam, and snail) and three main algae (kelp, pinnatifid undaria, and laver) are predicted and compared with six competing models. Based on prediction results, new model has the most accurate predictions, with all prediction errors being <10 %, and thus can achieve effective prediction of shellfish and algae production from 2022 to 2025. Further, the capacity and potential of MFCS in China are scientifically evaluated using a removable carbon sink model, considering various yield levels and biological parameters of shellfish and algae. The assessment results show that during the sample period, China's marine fisheries carbon sinks steadily increased with an annual growth rate of 57,000 tons. From 2022 to 2025, with support of policy of MFCS and improvement of disaster prevention and mitigation capacity, the potential of MFCS will be further released. The growth rate of MFCS will be increased to 94,000 tons per year, and its overall scale is expected to reach 2,198,245 tons by 2025, equivalent to fixing 8.06 million tons of CO2. The carbon sink's economic value is significantly estimated to be over 400 billion yuan.
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Affiliation(s)
- Xuemei Li
- School of Economics, Ocean University of China, Qingdao 266100, China; Institute of Marine Development, Ocean University of China, Qingdao 266100, China
| | - Jin Yang
- School of Economics, Ocean University of China, Qingdao 266100, China
| | - Yufeng Zhao
- Institute of Marine Development, Ocean University of China, Qingdao 266100, China; School of Management, Ocean University of China, Qingdao 266100, China
| | - Shiwei Zhou
- School of Economics, Ocean University of China, Qingdao 266100, China; Institute of Marine Development, Ocean University of China, Qingdao 266100, China.
| | - Yajie Wu
- College of Engineering, Ocean University of China, Qingdao 266100, China.
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Song K, Jin W, Yang G, Zhang H, Li P, Huang W, Feng Z. A case study on microplastics pollution characteristics in fouling organisms in typical aquaculture bay, China. MARINE ENVIRONMENTAL RESEARCH 2024; 193:106286. [PMID: 38109802 DOI: 10.1016/j.marenvres.2023.106286] [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: 09/20/2023] [Revised: 10/30/2023] [Accepted: 11/21/2023] [Indexed: 12/20/2023]
Abstract
Microplastics (MPs) and fouling organisms are prevalent in oceans worldwide. The study aims to investigate the pollution characteristics of MPs in fouling organisms. The study found significant inter-specific differences in the MPs abundance, while the length of MPs is consistent. The average number of MPs in N. exigua is 0.00 ± 0.00. There is a correlation between MPs abundance and weight in sessile group, while gastropods don't. Direct observation has demonstrated that the radulae of N. radula can envelop MPs. Fiber and blue are the predominant forms and colors of MPs found in fouling organisms. It is noteworthy that all film and fragment MPs observed were of a blue hue and had a size limitation of 500 μm. The characteristics of MPs between sessile organisms are more similar than those between gastropods. This study has improved our understanding of the pollution characteristics of MPs in fouling organisms, specifically gastropods.
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Affiliation(s)
- Kexin Song
- Jiangsu Key Laboratory of Marine Bioresources and Environment, Jiangsu Ocean University, Lianyungang, 222005, PR China; Analytical Instrumentation Center, Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, 572000, PR China; University of Chinese Academy of Sciences, Beijing, 100190, PR China
| | - Wei Jin
- Jiangsu Key Laboratory of Marine Bioresources and Environment, Jiangsu Ocean University, Lianyungang, 222005, PR China
| | - Guang Yang
- Jiangsu Key Laboratory of Marine Bioresources and Environment, Jiangsu Ocean University, Lianyungang, 222005, PR China
| | - Haichao Zhang
- Jiangsu Key Laboratory of Marine Bioresources and Environment, Jiangsu Ocean University, Lianyungang, 222005, PR China
| | - Pingjing Li
- Analytical Instrumentation Center, Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, 572000, PR China; University of Chinese Academy of Sciences, Beijing, 100190, PR China
| | - Wei Huang
- Key Laboratory of Marine Ecosystem and Biogeochemistry, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, 310012, PR China
| | - Zhihua Feng
- Jiangsu Key Laboratory of Marine Bioresources and Environment, Jiangsu Ocean University, Lianyungang, 222005, PR China; Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Jiangsu Ocean University, Lianyungang, 222005, PR China; Key Laboratory of Coastal Salt Marsh Ecology and Resources, Ministry of Natural Resources, Jiangsu Ocean University, Lianyungang, 222005, PR China.
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Sakaguchi J, Nakayama K, Komai K, Kubo A, Shimizu T, Omori J, Uno K, Fujii T. Carbon dioxide uptake in a eutrophic stratified reservoir: Freshwater carbon sequestration potential. Heliyon 2023; 9:e20322. [PMID: 37767477 PMCID: PMC10520817 DOI: 10.1016/j.heliyon.2023.e20322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 09/18/2023] [Accepted: 09/19/2023] [Indexed: 09/29/2023] Open
Abstract
Carbon capture and storage due to photosynthesis activities has been proposed as a carbon sink to mitigate climate change. To enhance such mitigation, previous studies have shown that freshwater lakes should be included in the carbon sink, since they may capture as much carbon as coastal areas. In eutrophic freshwater lakes, there is uncertainty about whether the equilibrium equation can estimate the partial pressure of carbon dioxide (pCO2), owing to the presence of photosynthesis due to phytoplankton, and pH measurement error in freshwater fluid. Thus, this study investigated the applicability of the equilibrium equation and revealed the need to modify it. The modified equilibrium equation was successfully applied to reproduce pCO2 based on total alkalinity and pH through field observations. In addition, pCO2 at the water surface was lower than the atmospheric partial pressure of carbon dioxide due to photosynthesis by phytoplankton during strong stratification. The stratification effect on low pCO2 was verified by using the Net Ecosystem Production (NEP) model, and a submerged freshwater plants such as Potamogeton malaianus were found to have high potential for dissolved inorganic carbon (DIC) sequestration in a freshwater lake. These results should provide a starting point toward more sophisticated methods to investigate the effect of freshwater carbon on DIC uptake in freshwater stratified eutrophic lakes.
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Affiliation(s)
- Jinichi Sakaguchi
- Graduate School of Engineering, Kobe University, 1-1 Rokkodai-Cho Nada-Ku, Kobe City, 658-8501, Japan
| | - Keisuke Nakayama
- Graduate School of Engineering, Kobe University, 1-1 Rokkodai-Cho Nada-Ku, Kobe City, 658-8501, Japan
| | - Katsuaki Komai
- School of Earth, Energy and Environmental Engineering, Kitami Institute of Technology, 165 Koen-cho, Kitami, 090-8507, Japan
| | - Atsushi Kubo
- Department of Geoscience, Shizuoka University, 836 Ohya, Suruga-Ku, Shizuoka, 422-8529, Japan
| | - Taketoshi Shimizu
- Water Quality Laboratory, Kobe City Waterworks Bureau, Kobe, Hyogo, 652-0004, Japan
| | - Junpei Omori
- Water Quality Laboratory, Kobe City Waterworks Bureau, Kobe, Hyogo, 652-0004, Japan
| | - Kohji Uno
- Department of Civil Engineering, Kobe City College of Technology, 8-3 Gakuenhigahimachi, Nishi-ku, Kobe City, 651-2194, Japan
| | - Tomoyasu Fujii
- School of Science Education, Nara University of Education, Takabatake-Cho, Nara, 630-8528, Japan
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Liu D, Tian L, Jiang X, Wu H, Yu S. Human activities changed organic carbon transport in Chinese rivers during 2004-2018. WATER RESEARCH 2022; 222:118872. [PMID: 35878523 DOI: 10.1016/j.watres.2022.118872] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 07/03/2022] [Accepted: 07/13/2022] [Indexed: 06/15/2023]
Abstract
Rivers serve as regulators of global climate by releasing greenhouse gases, burying particulate carbon, and connecting different ecosystem carbon pools. However, long-term organic carbon (OC) transport features across different Asian rivers are not well known due to unavailable data. Based on routinely monitored environmental and hydrological data during 2004-2018, this study investigated the spatiotemporal variations in dissolved (DOC) and particulate OC (POC) transport across 41 rivers in China. Across different rivers, both DOC (1.35 - 16.8 mg/L) and POC (0.27 - 4.48 mg/L) concentrations covered wide ranges. The DOC content was high in the north and low in the south, with significantly higher (t test, p < 0.01) values for rivers north of 30°N (5.39 ± 3.66 mg/L vs. 2.39 ± 1.14 mg/L). Human activities greatly influenced the riverine DOC and POC distributions. The riverine ammonia nitrogen (NH+ 4-N) content was positively correlated with DOC (r = 0.81 and p < 0.01) and explained 85.59% of its spatial variation. High vegetation coverage had significant effects on decreasing the riverine POC content, with r = -0.55 and p < 0.05. During 2004-2018, water pollution prevention and control strategies decreased DOC concentrations in 60.98% of rivers; meanwhile, anthropogenic vegetation restoration and dam construction led to POC content decreases in 90.48% of rivers. Importantly, along with DOC and POC changes, increasing DOC/POC ratios were found in 90.48% of the rivers, with 42.86% being significant, which indicated that Chinese rivers are losing their Asian features of low DOC/POC ratios due to artificial disturbance. This study is significant for accurately quantifying greenhouse gas emissions, carbon burial, and OC export to estuaries by Chinese rivers.
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Affiliation(s)
- Dong Liu
- Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
| | - Liqiao Tian
- State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
| | - Xintong Jiang
- College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China
| | - Huawu Wu
- Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
| | - Shujie Yu
- State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China.
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