Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of China Hydrology》 2016-02
Add to Favorite Get Latest Update

Evaluation of Lake Eutrophication Based on Hyperspectral Technology:A Study Case of Baihua Lake in Guiyang City

WU Tingkuan;HE Zhonghua;LIANG Hong;YANG Zhaohui;ZENG Xinbo;LIU Suihua;CHEN Dongwei;JIAO Shulin;LI Qiuhua;School of Geographic and Environmental Science, Guizhou Normal University;Water Resources Department of Guizhou Province;Guiyang Investigation and Design Institute of Power Construction Corporation of China;Key Laboratory for Information System of Mountainous Area and Protection of Ecological Environment of Guizhou Province, Guizhou Normal University;  
In order to improve the accuracy and speed and make large range monitoring and evaluation of lake eutrophication, this paper measured the spectrum and analyzed the water samples in the Baihua Lake of Guiyang City. By studying the normalization of water spectral reflectance, the first and second order differential spectrum processing, a diagnosis was made on the sensitive bands?of the various water quality parameters to establish the hyperspectral?quantitative model. This paper also discussed the quantitative relationship between the spectral reflectance and concentration of water quality parameter, evaluated the entrophication of water with comprehensive nutrition state index method(TLI). The results show that(1) it's suitable to use hyperspectral remote sensing to monitor water quality, and the sensitive bands of the water quality parameters(Chl-a, TP, TN, SD and CODMn) are respectively699 nm, 823 nm, 399 nm, 563 nm, 504nm;(2) The effect of the model with sensitive brand is very good, the various estimated models R2 are respectively 0.8276, 0.7711, 0.7917, 0.9213 and 0.8328;(3) The water quality is in moderate eutrophic state from the evaluation of eutrophication in the Baiha Lake based on the measured and estimated data.
【Fund】: 国家自然科学基金资助(41471032);; 贵州师范大学研究生创新基金资助(研创2014(20));贵州师范大学2014年博士科研启动项目资助;; 贵州省科技厅自然科研基金资助(贵州省科技厅自然科研基金黔科合J字[2010]2026号;黔科合J字[2013]2208号);; 贵州省科学技术基金(黔科合J字[2014]2127号;黔科合J字[2013]2300号);; 贵州省水利厅科技基金(KT201402)
【CateGory Index】: X824
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved