DocumentCode
576013
Title
A tentative study of water quality retrieval in low-level-polluted Case II waters using analytical model
Author
Guan, Qing ; Guo, Ziqi ; Liu, Caixia ; Lei, Xia
Author_Institution
State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
fYear
2012
fDate
22-27 July 2012
Firstpage
805
Lastpage
807
Abstract
The problem of Case II water pollution has been paid more and more attention these years. Although traditional means could provide more accurate measured values, they are greatly limited by its temporal and spatial defects. Therefore, remote sensing technology is introduced in and it has become a hot spot in the study of water environment monitoring. In this study, Guanting Reservoir, which lies between Zhangjiakou (HeBeijing) and Beijing, is selected to be the research object. With the data obtained in situ and in the laboratory, the water quality retrial model is established to calculate the water quality parameters of Guanting Reservoir. Further, combining with the satellite data (CHRIS/Proba), the qualitative distribution of water quality parameters at the whole reservoir region scale is obtained, which could support the quantitative study in the next step with data and theory basis.
Keywords
environmental monitoring (geophysics); hydrological techniques; remote sensing; reservoirs; water pollution; water quality; Beijing; CHRIS/Proba; Case II water pollution; Guanting Reservoir; HeBeijing; Zhangjiakou; analytical model; low-level-polluted Case II waters; qualitative distribution; remote sensing technology; satellite data; spatial defects; temporal defects; water environment monitoring; water quality parameters; water quality retrial model; water quality retrieval; Analytical models; Pollution measurement; Remote sensing; Reservoirs; Water; Water pollution; Case II water; bio-optical model; remote sensing; water quality retrieval;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6350872
Filename
6350872
Link To Document