基于TM影像数据的五日生化需氧量浓度估计  

THE ESTIMATION OF BIOCHEMICAL OXYGEN DEMAND AFTER FIVE DAYS BASED ON TM IMAGE DATA

作　　者：孙庆先[1] 李茂堂[1] 路京选[1] 

机构地区：[1]中国水利水电科学研究院遥感技术应用中心,北京100044

出　　处：《国土资源遥感》2009年第2期82-86,共5页Remote Sensing for Land & Resources

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。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.

关 键 词：TM 遥感反演 五日生化需氧量 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]