摘要
流域污染负荷模型(generalized watershed loading function, GWLF)是国内外流域水环境管理中被广泛应用的模型之一.介绍了GWLF模型水文、泥沙和营养盐模块的基本原理,梳理了国内外研究人员在模型开发和应用等方面的研究进展,特别是在国内不同流域区域环境污染防治工作中的应用情况,最后展望了GWLF模型未来的研究应用趋势.结果表明,GWLF模型在国内具有较好的适用性,其适度的数据需求量和月尺度评估结果与我国现有的数据条件和管理需求相一致,能够为我国流域水污染防治和水环境管理提供可靠的决策支持.
The generalized watershed loading function(GWLF)is one of the most widely used models in both domestic and international watershed water environmental management.This paper first introduces the fundamental principles of the hydrology,sediment and nutrient modules of the GWLF model.It then reviews the research progress made by domestic and foreign researchers in terms of model development and application,especially the application in environmental pollution prevention and control in different watershed regions across China.Finally,the future trends of research and application for the GWLF model is explored.The results show that the GWLF model exhibits favorable applicability in China.Its moderate data requirements and monthly scale evaluation results are aligned with the existing data conditions and management needs of our country,providing reliable and effective decision support for watershed water pollution prevention,control,and water environment management in China.
作者
李泽利
沙健
高锴
齐作达
武枭瑾
王玉秋
卞少伟
LI Zeli;SHA Jian;GAO Kai;QI Zuoda;WU Xiaojin;WANG Yuqiu;BIAN Shaowei(Tianjin Eco-Environmental Monitoring Center,Tianjin 300191,China;Tianjin Key Laboratory of Water Resources and Environment,Tianjin Normal University,Tianjin 300387,China;Tianjin Research Institute for Water Transport Engineering,Ministry of Transport,Tianjin 300456,China;College of Environmental Science and Engineering,Nankai University,Tianjin 300350,China)
出处
《福建师范大学学报(自然科学版)》
CAS
2023年第5期133-141,共9页
Journal of Fujian Normal University:Natural Science Edition
基金
国家重点研发计划项目(2022-LHYJ-02-0102)
国家自然科学基金资助项目(41601101)
天津市教委科研计划项目(2018KJ160)。
关键词
流域污染负荷模型
气候变化
土地利用变化
水文模拟
污染源解析
generalized watershed loading function model
climate changes
land use change
hydrological simulation
pollution source apportionment