基于TM影像数据的五日生化需氧量浓度估计
孙庆先, 李茂堂, 路京选
中国水利水电科学研究院遥感技术应用中心,北京100044
THE ESTIMATION OF BIOCHEMICAL OXYGEN DEMAND
AFTER FIVE DAYS BASED ON TM IMAGE DATA
SUN Qiang-Xian, LI Mao-Tang, LU Jing-Xua
Remote Sensing Application Center, China Institute of Water Resources and Hydropower Research, Beijing 100044,China
摘要 湖泊的水体污染往往伴随着富营养化现象,水体中叶绿素a、透明度、全磷、全氮、化学需氧量及五日生化需氧量等水质参数
的相关性很强。前人的研究成果表明,由于存在事实上的强相关性,可以直接建立全磷、全氮的遥感反演模型。基于这样的技术思想
,洪泽湖水体内的五日生化需氧量与全磷、全氮有较强的相关性,本研究应用TM遥感影像数据直接建立了五日生化需氧量的半经验估
算模型。该模型简便易用,是建立水质参数反演模型的成功尝试。
关键词 :
GIS ,
RS ,
NDVI(归一化差植被指数) ,
系统分析
Abstract :: Water pollution in the lake always occurs along with eutrophication. Strong correlation has been found
between such water quality parameters as chlorophyll-a, SD, TP, TN, COD and BOD5 in the water body. TP and TN
directly control the growth and propagation of phytoplankton, and theoretically speaking, TP and TN affect
chlorophyll-a and SD indirectly, whereas chlorophyll-a and SD are primary parameters that can influence spectral
reflectance characteristics. Previous research results indicate that retrieval models of TP and TN can be developed
directly using remote sensing data because of their strong correlation with chlorophyll-a and SD. Based on this
technical idea, the authors derived the BOD5 retrieval model in the Hongze Lake using TM images according to its
strong correlation with TP and TN. The result demonstrates that the model is simple and feasible. This study proves
to be a successful experiment in the construction of the retrieval model of water quality parameters.
Key words :
GIS
RS
NDVI
System analyse
收稿日期: 2008-11-14
出版日期: 2009-06-12
通讯作者:
孙庆先(1969- ),男,博士后,研究方向为遥感、地理信息系统及数据挖掘。
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