摘要
随着太湖流域的经济迅速发展,太湖湖体的富营养化程度日趋严重,特别是在20世纪的后期,水华频繁爆发。国家环保总局常规的水质监测是基于21个点位对全湖进行评价,完成一次采样耗时近1月,其对大面积水华现象的监测具有很大的局限性。文章利用遥感技术快速、大尺度、动态监测的特点,基于多个时相的TM影像对太湖的水温、悬浮物、叶绿素等水质参数的浓度和分布进行了遥感反演,进而对太湖水华的成因、发展程度、影响因素等方面进行分析,从而对太湖水华发生的特点,太湖的水质情况有一个全面的了解。
With the economic development of Taihu drainage area, the water body in Taihu lake became more and more eutrophic. Especially in the late of 20th century, the algae bloom brake out repetitiously. Today, the State Environment Protection Administration (SEPA) usually based on 21 monitoring points to access water quality of Taihu lake. This method is limited to monitor large area algae bloom. Remote sensing (RS) technology can complete large scale, dynamic monitoring quickly. Especially to traditional water monitoring, RS technology is time-save and finance-save. Using RS technology to analyze Taihu lake's algae bloom, we can know algae bloom's area, distribution and extent easily. This article uses multi-temporal TM images to abstract algae bloom of Taihu Lake, to analyze characteristics of algae bloom occur, to reflect Taihu lake's water quality.
出处
《中国环境监测》
CAS
CSCD
北大核心
2007年第3期52-56,共5页
Environmental Monitoring in China
基金
国家"863"-2003AA131060项目
关键词
遥感
水华
太湖
TM影像
Remote sensing
Algae bloom
Taihu lake
TM image