三峡库区支流富营养化风险评估:蓬溪案例研究

IF 6 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
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}
引用次数: 0

摘要

评估库区富营养化风险对环境保护非常重要。然而,由于库区水的周期性回流,使得库区支流富营养化评价较为困难。本研究基于协整函数的基本原理,结合三峡库区支流蓬溪河水环境模拟结果,提出了考虑水环境变量间相互作用的新视角,对联合富营养化风险概率进行了评价。结果表明,整个蓬溪河的流动性较差,有利于污染物的沉积和富集。汉丰湖和蓬溪干流的总氮(TN)始终高于中度富营养化水平,而总磷(TP)的变化范围较大,从中度富营养化到超富营养化。2021 年,汉丰湖 TP 和 TN 均为超富营养化时的联合风险概率最高,为 45%。当 TP 为轻度富营养化、TN 为中度富营养化时,蓬溪河的联合风险概率最高,为 42%。相对清洁的长江水回流蓬溪河,降低了蓬溪河的富营养化风险。该研究结果为三峡库区水体富营养化防控提供了科学依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Environmental Informatics
Journal of Environmental Informatics ENVIRONMENTAL SCIENCES-
CiteScore
12.40
自引率
2.90%
发文量
7
审稿时长
24 months
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信