摘要
为加快太湖消除蓝藻暴发的步伐,设计出水生态环境治理新模式,本文介绍了利用太湖大数据数模治理太湖蓝藻暴发整体思路。提出用水量水质数模分析各阶段水质改善趋势和能够达到的最终水质目标;结合修复湿地的实践建立完善湿地数模;在水量水质、湿地数模的基础上建立蓝藻数模消除蓝藻暴发。以梅梁湖为例进行消除富营养化和蓝藻暴发试验,结合梅梁湖治理实践建立梅梁湖蓝藻数模试点,并为太湖其他水域建立数模提供经验。
In order to speed up the pace of eliminating cyanobacteria outbreak in Taihu Lake and design a new model for ecological environment control of effluent,this paper introduces the overall idea of controlling cyanobacteria outbreak in Taihu Lake by using big data model of Taihu Lake.A mathematical model of water consumption and quality is proposed to analyze the trend of water quality improvement in each stage and the ultimate water quality target that can be achieved.Combining the practice of wetland restoration to establish and perfect wetland mathematical models;On the basis of water quantity,water quality and wetland mathematical models,cyanobacteria mathematical models are established to eliminate cyanobacteria outbreak.Taking Meiliang Lake as an example,the experiment of eliminating eutrophication and cyanobacteria outbreak was carried out.Combined with the management practice of Meiliang Lake,a cyanobacteria mathematical model experiment was established in Meiliang Lake,which provided experience for the establishment of mathematical models in other waters of Taihu Lake.
作者
朱喜
朱云
ZHU Xi;ZHU Yun(Wuxi Municipal Water Conservancy Bureau,Wuxi 214031,China;Wuxi Market Flood Control Administration Office,Wuxi 214031,China)
出处
《水资源开发与管理》
2020年第1期70-77,共8页
Water Resources Development and Management
关键词
太湖治理
大数据
数模
消除蓝藻暴发
Taihu lake management
big data
mathematical model
elimination of cyanobacteria outbreak
