基于云计算平台的太湖蓝藻水华时空分布及预警监测响应  

Spatio-temporal distribution and early warning monitoring response of cyanobacterial bloom in Taihu Lake based on cloud computing platform

作　　者：陆凯 严勇 许玲玲 汪锋 LU Kai;YAN Yong;XU Lingling;WANG Feng(Wuxi Ecological Environment Monitoring Center,Wuxi 214000,China;Wuxi Sub-base of Intelligent Environmental Governance Experimental Base,Wuxi 214000,China)

机构地区：[1]无锡市生态环境监测监控中心,江苏无锡214000 [2]江苏省智能环境治理实验基地无锡子基地,江苏无锡214000

出　　处：《黑龙江环境通报》2024年第7期8-12,共5页Heilongjiang Environmental Journal

基　　金：水污染控制与治理国家科技重大专项子课题(2017ZX07204001-02)。

摘　　要：研究结合太湖水环境异质性和实地调研结果,设计了基于云计算平台的太湖蓝藻水华预警监测系统,分析了无锡市太湖周围区域的33个监测点的数据,发现太湖北区蓝藻水华多发生在6—9月,其中以7月和8月最为严重;太湖西区的蓝藻水华发生时间在5—10月,持续时间较长。该平台可以利用大数据分析和人工智能算法,对数据进行处理和分析,生成多种形式的数据报告和监测图表,为防治蓝藻水华提供科学依据和参考。By combining the heterogeneity of Taihu Lake's water environment and field research results,a Taihu Lake blue-green algae bloom early warning monitoring system based on a cloud computing platform was designed.The data from 33 monitoring points around the Taihu Lake area in Wuxi City were analyzed,and it was found that blue-green algae blooms in the northern part of Taihu Lake occurred mainly from June to September,with July and August being the most severe;while in the western part of Taihu Lake,blooms occurred from May to October with a longer duration.This platform can utilize big data analysis and artificial intelligence algorithms to process and analyze data,generating various forms of data reports and monitoring charts,providing scientific basis and references for the prevention and control of blue-green algae blooms.

关 键 词：太湖水环境 云计算平台 预测预警 高效管理 

分 类 号：X84[环境科学与工程—环境工程]