富营养化湖泊水环境监测模拟平台研发与应用

Development and application of a eutrophic lake water environment monitoring and simulation platform

湖泊富营养化导致的蓝藻水华频繁暴发已成为制约区域社会经济可持续发展的重要问题。及时、全面掌握富营养化湖泊水质水华信息,对于蓝藻水华科学防控具有重要意义。针对传统湖泊水质水华监测方法存在的时效性弱、空间覆盖度低和数据再分析手段单一等问题,本文利用卫星遥感、空间数据库和WebGIS等技术,研发了富营养化湖泊水质水华自动监测和模拟分析平台。平台集成了卫星遥感全自动监测、动态虚拟浮标、目标水域水环境动态时空分析等核心技术,实现了湖泊高时空分辨率的动态水质水华监测,提供了湖泊水质水华多尺度精细化表达与再分析功能。平台在太湖、巢湖和滇池实现了示范应用,在湖泊水质水华监测预警和管理支撑方面发挥了重要作用。

The frequent outbreaks of algal blooms caused by lake eutrophication have become a significant constraint on the sustainable development of regional economies.Timely and comprehensive acquisition of information on water quality and algal blooms in eutrophic lakes is of paramount importance for the scientific prevention and control of algal blooms.Traditional methods for monitoring water quality and algal blooms in lakes suffer from issues such as weak timeliness,low spatial coverage,and a lack of diverse data analysis tools.This paper utilizes technologies such as satellite remote sensing,spatial databases,and WebGIS to develop an automatic monitoring and simulation analysis platform for water quality and algal blooms in eutrophic lakes.The platform integrates core technologies such as automatic monitoring of satellite remote sensing,dynamic virtual buoys,and dynamic spatio-temporal analysis of target aquatic environments.It achieves high spatio-temporal resolution monitoring of water quality and algal blooms in lakes,providing fine-grained representation and reanalysis capabilities for lake water quality and algal blooms at multiple scales.The platform has been demonstrated in pilot applications in Lake Taihu,Lake Chaohu,and Lake Dianchi,playing a crucial role in supporting monitoring,early warning,and management of water quality and algal blooms in lakes.