C. G. Xiang, W. Huang, Z. W. Wang, H. D. Zhou, L. Q. Xue, J. Wang, W. J. Wang
{"title":"三峡库区支流富营养化风险评估:蓬溪案例研究","authors":"C. G. Xiang, W. Huang, Z. W. Wang, H. D. Zhou, L. Q. Xue, J. Wang, W. J. Wang","doi":"10.3808/jei.202400512","DOIUrl":null,"url":null,"abstract":"Evaluating the eutrophication risk in reservoir areas is very important for environmental protection. However, the periodic backflow of water in reservoir areas makes evaluating the eutrophication of tributaries in reservoir areas more difficult. In this study, based on the basic principle of the copula function, combined with the water environment simulation results of the Pengxi River, a tributary of the Three Gorges Reservoir, a new perspective for considering the interaction between water environment variables was proposed to evaluate the joint eutrophication risk probability. The results showed that the fluidity of the whole Pengxi River was poor, which was conducive to the deposition and enrichment of pollutants. The total nitrogen (TN) in Hanfeng Lake and the main stream of the Pengxi River was always above the level of moderate eutrophication, while total phosphorus (TP) varied over a large range, from mesotrophic to hyper-eutrophic. In 2021, the joint risk probability of TP and TN was the highest, at 45%, when they were both hyper-eutrophic in Hanfeng Lake. When TP was slightly eutrophic and TN was moderately eutrophic, the joint risk probability was the highest in Pengxi River, at 42%. The relatively clean water of the Yangtze River flowing back into the Pengxi River reduces its eutrophication risk. The results of this study provide a scientific basis for the prevention and control of water eutrophication in the Three Gorges Reservoir.\n","PeriodicalId":54840,"journal":{"name":"Journal of Environmental Informatics","volume":null,"pages":null},"PeriodicalIF":6.0000,"publicationDate":"2024-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Eutrophication Risk Assessment of Tributaries in the Three Gorges Reservoir: A Case Study of the Pengxi River\",\"authors\":\"C. G. Xiang, W. Huang, Z. W. Wang, H. D. Zhou, L. Q. Xue, J. Wang, W. J. Wang\",\"doi\":\"10.3808/jei.202400512\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Evaluating the eutrophication risk in reservoir areas is very important for environmental protection. However, the periodic backflow of water in reservoir areas makes evaluating the eutrophication of tributaries in reservoir areas more difficult. In this study, based on the basic principle of the copula function, combined with the water environment simulation results of the Pengxi River, a tributary of the Three Gorges Reservoir, a new perspective for considering the interaction between water environment variables was proposed to evaluate the joint eutrophication risk probability. The results showed that the fluidity of the whole Pengxi River was poor, which was conducive to the deposition and enrichment of pollutants. The total nitrogen (TN) in Hanfeng Lake and the main stream of the Pengxi River was always above the level of moderate eutrophication, while total phosphorus (TP) varied over a large range, from mesotrophic to hyper-eutrophic. In 2021, the joint risk probability of TP and TN was the highest, at 45%, when they were both hyper-eutrophic in Hanfeng Lake. When TP was slightly eutrophic and TN was moderately eutrophic, the joint risk probability was the highest in Pengxi River, at 42%. The relatively clean water of the Yangtze River flowing back into the Pengxi River reduces its eutrophication risk. The results of this study provide a scientific basis for the prevention and control of water eutrophication in the Three Gorges Reservoir.\\n\",\"PeriodicalId\":54840,\"journal\":{\"name\":\"Journal of Environmental Informatics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":6.0000,\"publicationDate\":\"2024-04-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Environmental Informatics\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.3808/jei.202400512\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Environmental Informatics","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.3808/jei.202400512","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Eutrophication Risk Assessment of Tributaries in the Three Gorges Reservoir: A Case Study of the Pengxi River
Evaluating the eutrophication risk in reservoir areas is very important for environmental protection. However, the periodic backflow of water in reservoir areas makes evaluating the eutrophication of tributaries in reservoir areas more difficult. In this study, based on the basic principle of the copula function, combined with the water environment simulation results of the Pengxi River, a tributary of the Three Gorges Reservoir, a new perspective for considering the interaction between water environment variables was proposed to evaluate the joint eutrophication risk probability. The results showed that the fluidity of the whole Pengxi River was poor, which was conducive to the deposition and enrichment of pollutants. The total nitrogen (TN) in Hanfeng Lake and the main stream of the Pengxi River was always above the level of moderate eutrophication, while total phosphorus (TP) varied over a large range, from mesotrophic to hyper-eutrophic. In 2021, the joint risk probability of TP and TN was the highest, at 45%, when they were both hyper-eutrophic in Hanfeng Lake. When TP was slightly eutrophic and TN was moderately eutrophic, the joint risk probability was the highest in Pengxi River, at 42%. The relatively clean water of the Yangtze River flowing back into the Pengxi River reduces its eutrophication risk. The results of this study provide a scientific basis for the prevention and control of water eutrophication in the Three Gorges Reservoir.
期刊介绍:
Journal of Environmental Informatics (JEI) is an international, peer-reviewed, and interdisciplinary publication designed to foster research innovation and discovery on basic science and information technology for addressing various environmental problems. The journal aims to motivate and enhance the integration of science and technology to help develop sustainable solutions that are consensus-oriented, risk-informed, scientifically-based and cost-effective. JEI serves researchers, educators and practitioners who are interested in theoretical and/or applied aspects of environmental science, regardless of disciplinary boundaries. The topics addressed by the journal include:
- Planning of energy, environmental and ecological management systems
- Simulation, optimization and Environmental decision support
- Environmental geomatics - GIS, RS and other spatial information technologies
- Informatics for environmental chemistry and biochemistry
- Environmental applications of functional materials
- Environmental phenomena at atomic, molecular and macromolecular scales
- Modeling of chemical, biological and environmental processes
- Modeling of biotechnological systems for enhanced pollution mitigation
- Computer graphics and visualization for environmental decision support
- Artificial intelligence and expert systems for environmental applications
- Environmental statistics and risk analysis
- Climate modeling, downscaling, impact assessment, and adaptation planning
- Other areas of environmental systems science and information technology.