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青草沙水源地水库藻类监测预警指标体系研究
引用本文:吕卓,谢冰,徐亚同.青草沙水源地水库藻类监测预警指标体系研究[J].环境科学与技术,2011,34(10):118-122.
作者姓名:吕卓  谢冰  徐亚同
作者单位:华东师范大学资源与环境科学学院,上海,200062
基金项目:国家水专项(2008ZX07421-001);上海市建委重大科研项目(建重2008-05);上海市科委科技公关项目(08dz1203002,08dz1900407)
摘    要:文章概述典型藻类生长与环境影响因素的关系,分析了草沙水源地特殊的地域水质特征,筛选并优化水库藻类监测因子,包括理化因子、生物因子和气象因子,形成三大综合临测指标:藻类生长环境指标、藻类增殖状况指标和饮用水安全指标,结合监测技术及监测方案设计等要素,初步构建青草沙水源地水库藻类监测预警指标体系框架.

关 键 词:水源地  长江口  边滩水库  监测因子  预警体系

Algae Monitoring and Early Warning System in Qingcaosha Water Source and Reservoir
LV Zhuo,XIE Bing,XU Ya-tong.Algae Monitoring and Early Warning System in Qingcaosha Water Source and Reservoir[J].Environmental Science and Technology,2011,34(10):118-122.
Authors:LV Zhuo  XIE Bing  XU Ya-tong
Institution:(School of Resource and Environment Science,East China Normal University,Shanghai 200062,China)
Abstract:In order to monitor water quality and avoid eutrophication in Qingcaosha Reservoir,typical algal growth associated with environmental factors as well as its water quality in special regions were analyzed.Based on the screened reservoir algae monitoring factors,three comprehensive monitoring indicators were formed,and a framework of algae monitoring and early warning system in Qingcaosha water source and reservoir was initially established.
Keywords:water source  Yangtze Estuary  side beach reservoir  monitoring factors  early warning system
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