Please wait a minute...
img

Wechat

Remote Sensing Technology and Application  2002, Vol. 17 Issue (2): 74-77    DOI: 10.11873/j.issn.1004-0323.2002.2.74
    
Water Pollution Monitoring Using Remote Sensing
WANG Xiao-qin1,2, WANG Qin-min1, LIU Gao-huan2, LI Hui-guo2
(1.Institute of Geo-Information Science and Technology,Fuzhou University,Fuzhou350002,China;
2.LREIS,Institute of Geographic and Natural Resources Research,Chinese Academy of Sciences,Beijing100101,China)
Download:  PDF (0KB) 
Export:  BibTeX | EndNote (RIS)      
Abstract  

It seems much difference on remote sensing images with different quality water. After analyzing
the relative spectral reflectance of different quality water on TM images, we found that the relative spec-
tral reflectance of band 1 to band 4 (R1, R2, R3 and R4) were sensitive to the different quality water. R2
will be greater than R1 (R2/R1>1) for high suspended sediment regions, in which, if the suspended sedi-
ment concentration is very high, R3 is greater than R2 (R3>R2), otherwise R3 water, the more serious the polluted water is, the higher value R4/R3 is. According to the water monitor-
ing data from Environment Protect Bureau of Dongying City, the main pollutants of drainage system in
Yellow River Delta are organic substances. So R4/R3 may be used as an important index of water organic
pollution in the area. After numerous tries and comparisons, we found the average and standard deviation
of R4/R3 may be used as a semi-quality index for water pollution classification. The mouth of Xiao-qing
River was taken as an example to test the above rules and its water pollution distributions were got from
TM images in different years. The regions with high suspended sediment and serious polluted water can be
extracted from TM images using the method introduced above. And the method has some references for
water monitoring with large area.

Key words:  Xiao-qing River      Water pollution      Relative spectral reflectance      Remote sensing     
Received:  21 December 2001      Published:  21 November 2011
TP 79  
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors

Cite this article: 

WANG Xiao-qin, WANG Qin-min, LIU Gao-huan, LI Hui-guo. Water Pollution Monitoring Using Remote Sensing. Remote Sensing Technology and Application, 2002, 17(2): 74-77.

URL: 

http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2002.2.74     OR     http://www.rsta.ac.cn/EN/Y2002/V17/I2/74

〔1〕  Klemas V, Bartlett D, Ph ilpot W,et al. Coastal and Estuarine Studies with ERTS-1 and Skylab〔J〕. Remote Sensing Environment, 1974, 3: 153~177.
〔2〕 李京.水域悬浮固体含量的遥感定量研究〔J〕.环境科学学报, 1986, 6(2):166~173.
〔3〕  Stumpf R, Pennock J. Calibration of a General Optical Equation for Remote Sensing of Suspended Sediments in a Moderately Turbid Estuary〔J〕. J G R 1989, 94(C10): 14363~14371.
〔4〕  Li Yan, Huang Wei, Fang Ming. An Algorithm for the Retrieval of Suspended Sediment in Coastal Waters of China from AVHRR Data〔J〕. Continental Shelf Res, 1998,18:487~500.
〔5〕  Tassan S. An Improved In-water Algorithm for the Determination of Chlorophyll and Suspended Sediment Concentration from Thematic Mapper Data in Coastal Waters〔J〕. Int J of Remote Sensing, 1993, 14(6): 1221~1229.
〔6〕  Keiner L E, Yan X H. A Neural Network Model for Estimating Sea Surface Chlorophyll and Sediments from Thematic Mapper Imagery〔J〕. Remote Sensing of Environment,1998, 66:153~165.
〔7〕  Gower. Red Tide Monitoring Using AVHRR HRPT Imagery from a Local Receiver〔J〕. Remote Sensing of Environment,1994, 48: 309~318.
〔8〕 李栖筠,陈维英,肖乾广,等.老铁山水道漏油事故卫星监测〔J〕.环境遥感, 1994, 9(4): 256~262.
〔9〕  Trivero P, Fiscella B, Gomez F,et al. SAR Detection and Characterization of Sea Surface Slicks〔J〕. Int J Remote Sensing, 1998, 19(3): 543~548.
〔10〕 中国科学院环境科学委员会,天津市环境保护局.天津-渤海湾地区环境遥感论文集〔C〕.北京:科学出版社, 1985.
〔11〕  El Raey M, Ahmed S, Korany E. Marine Pollution Assessment near Alexandria, Egypt by Thematic Principal Components (TPC)〔J〕. Int J of Remote Sensing, 1998, 19(7):1395~1414.
〔12〕  Li Tiefang, Chen Xiaoxiang, He Zhijian, et al. Response Experiment and Study on Information Extracting Method by Seawater Pollution Band on SeaWiFS〔A〕. In: Proceedings of International Conference on Modeling Geographical and Enviromental System with Geographical Information Systems 〔C〕. Vol.Ⅰ, Hong Kong, 1998.
〔13〕 陈述彭,刘高焕,许学工,等.黄河三角洲环境评价与信息系统建设〔R〕. UNDP支持黄河三角洲可持续发展CPR/91/144项目分报告之三.山东,东营, 1997.
〔14〕  Kruse F A. Use of Airborne Imaging Spectrometer Data to Map Minerals Associated with Hydrothermally Altered Rocks in the Northern Grapevine Mountains, Nevada〔J〕.Remote Sensing of Environment, 1988, 24: 31~51.
                         

No Suggested Reading articles found!