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因子分析法在水质参数反演中的应用
引用本文:施坤,李云梅,王桥,杨煜,金鑫,王彦飞,尹斌,张红.因子分析法在水质参数反演中的应用[J].湖泊科学,2010,22(3):391-399.
作者姓名:施坤  李云梅  王桥  杨煜  金鑫  王彦飞  尹斌  张红
作者单位:南京师范大学虚拟地理环境教育部重点实验室,南京,210046
基金项目:国家自然科学基金,国家自然科学基金重点项目 
摘    要:2008年11月、2009年4月,分别对太湖水体以及2009年6月对巢湖水体进行野外实验.对太湖水体遥感反射率进行因子分析,并利用遥感反射率的不同因子,对叶绿素和总悬浮物浓度进行反演,并对反演因子的普适性进行验证.利用第一因子反演太湖春季叶绿素浓度,平均相对误差为22.1%,均方根误差为3.48g/L,利用该方法反演巢湖、太湖秋季水体的叶绿素浓度没有取得较好的效果;利用第二因子反演太湖春季总悬浮物浓度,平均相对误差为13.9%,均方根误差为11.33mg/L,利用该因子反演巢湖、太湖秋季水体的总悬浮物浓度同样取得较好效果.结果表明:利用遥感反射率的第一因子对叶绿素浓度进行反演,该方法不具有普适性;利用遥感反射率的第二因子对总悬浮物浓度进行反演能取得较好的结果,此方法具有一定的普适性.

关 键 词:太湖  巢溯  因子分析  水色  总悬浮物  叶绿素
收稿时间:8/3/2009 12:00:00 AM
修稿时间:2009/12/11 0:00:00

Application of factor analysis method in water quality parameters inversing
SHI Kun,LI Yunmei,WANG Qiao,YANG Yu,JIN Xin,WANG Yanfei,YIN Bin and ZHANG Hong.Application of factor analysis method in water quality parameters inversing[J].Journal of Lake Science,2010,22(3):391-399.
Authors:SHI Kun  LI Yunmei  WANG Qiao  YANG Yu  JIN Xin  WANG Yanfei  YIN Bin and ZHANG Hong
Institution:MOE Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Nanjing 210046, P. R. China,MOE Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Nanjing 210046, P. R. China,MOE Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Nanjing 210046, P. R. China,MOE Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Nanjing 210046, P. R. China,MOE Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Nanjing 210046, P. R. China,MOE Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Nanjing 210046, P. R. China,MOE Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Nanjing 210046, P. R. China and MOE Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Nanjing 210046, P. R. China
Abstract:Field experiments were conducted on Lake Taihu in November 2008 and April 2009, and on Lake Chaohu in June 2009. The water remote sensing reflectance was analyzed by factor analysis method. Furthermore, Chlorophyll and total suspended matter concentration were inversed using different factors of remote sensing reflectance, and universality of inverted factor was veri fied too. Chlorophyll concentration of Lake Taihu in spring was inversed by the first factor, and relative error and root-mean-square error are 22.1% and 3.48g/L, respectively. However, this method failed in inversing of autumn of Lake Taihu and Lake Chaohu. Concentration of total suspended matter was inversed by the second factor, and relative error and root-mean-square error were 13.9% and 11.33mg/L, respectively. This method was suitable in Lake Chaohu and autumn of Lake Taihu. Applicability of the first factor of remote sensing reflectance to inverse chlorophyll concentration wag limited, and applicability of the second factor of remote sensing reflectance to total suspended matter concentration was certain universal.
Keywords:Lake Taihu  take Chaohu  factor analysis  water color  total suspended matter  chlorophyll
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