湖泊富营养化机理模型研究进展

潘婷<sup>1; 2</sup>; 秦伯强<sup>1*</sup>; 丁侃<sup>1; 3</sup>

引用本文:	潘婷，秦伯强，丁侃.湖泊富营养化机理模型研究进展[J].环境监控与预警,2022,14(3):1-6
	PAN Ting, QIN Bo-qiang, DING Kan.Progress in Lake Eutrophication Process based Models[J].Environmental Monitoring and Forewarning,2022,14(3):1-6

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湖泊富营养化机理模型研究进展
潘婷，秦伯强，丁侃^1,2,3
1.中国科学院南京地理与湖泊研究所，湖泊与环境国家重点实验室，江苏南京 210008;2.河海大学水文水资源学院，江苏南京 210024;3.中国科学院大学，北京 100049

摘要:

湖泊富营养化机理模型是模拟和预测水质参数变化趋势和水体富营养化状态的有效工具，可为水环境污染预防和治理提供数据支撑与科学依据。在回顾湖泊富营养化机理模型分类及发展的基础上，重点分析和总结了CAEDYM模型、PCLake模型、AQUATOX模型和WASP模型等生态动力学模型研究热点，探讨了各个模型的适用性与局限性；并进一步从湖泊富营养化影响机制探究和水质水环境管理保护决策服务两方面梳理了富营养化模型的应用现状，指出了富营养化机理模型当前存在的问题与发展方向，旨在为模型研究和应用提供参考。

关键词: 湖泊富营养化机理模型影响机制决策服务

DOI：

分类号:X173

基金项目:江苏省水利科技项目(2020004)

Progress in Lake Eutrophication Process based Models

PAN Ting, QIN Bo-qiang, DING Kan^1,2,3

1.State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Nanjing,Jiangsu 210008,China;2.College of Hydrology and Water Resources, Hohai University, Nanjing ,Jiangsu 210024,China;3.University of Chinese Academy of Sciences, Beijing 100049, China

Abstract:

Lake eutrophication process based model is an effective tool to simulate and predict the variation trend of water quality parameters and eutrophication state of water body, and provide data support and scientific basis for water pollution prevention and control. This paper reviewed the classification and development of lake eutrophication mechanism models, mainly introduced CAEDYM, PCLake, AQUATOX and WASP, and discussed the applicability and limitations of each model. The application of eutrophication model was summarized respectively from the mechanism of eutrophication and decision making services of water quality and water environmental management. We also pointed out the current problems and development direction of eutrophication model, aiming to provide reference for model application.

Key words: Lake Eutrophication process based model Mechanism of eutrophication Decision making services