Estimation of Karoun River Water Quality in the Ahvaz city using field observation, Field Spec®3 and Hyperion Hypersepectral Data

Authors

Department of Geology, Shahid Chamran University of Ahvaz

Abstract

In this research Hyperspectral remote sensing was used for assessment of water quality parameters in Karoun River of Ahvaz City. Common techniques for monitoring and assessing water quality in rivers and lakes are mostly expensive and laborious and are unable to present an overview of spatial and temporal water quality variations. After processing and atmospheric correction, EO-1 satellite imageries which were acquired on June 14, September 2 December 4, 2010 and March 7, 2011, Were used as remote sensing data. Turbidity and Secchi Disk depth (SDD) parameters were evaluated. SDD was measured at thirteen stations of river with satellite overpass, also simultaneous water samples were collected. Water samples were analyzed for turbidity in laboratory. Furthermore, three types of hyperspectral indices including, single-band reflectance, first derivative of reflectance and reflectance ratio were extracted on the spectral profile of all bands of the Hyperion sensor. Appropriate algorithms were created for establishing correlation between data extracted from images in-situ and laboratory measurements. Results indicated that two methods, the first derivative of reflectance and reflectance ratio, were highly correlated with the measured Turbidity and SDD data. Zonation map using multiple regressions for these two parameters based on Hyperspectral data and water quality sampling data was prepared. The results showed that the field data and Hyperspectral remote sensing are highly correlated with SDD and Turbidity (R2 = 0.84, RMSE=0.03 and R2 = 0.86, RMSE=1.03 respectively). Therefore, this method and hyperspectral images can be considered as a useful tool for assessing water river quality.
 
 

Keywords

References

رنگزن، کاظم. فتاحی مقدم، مهدی. صابری، عظیم. حسینی زارع، نادر. و  موبد، پریوش. 1389. بررسی کیفیت آب رودخانه کارون محدوده اهواز توسط تصاویر بهنگام هایپریون. بیست و نهمین گردهمائی علوم زمین. صفحه 67
حسینی زارع، نادر. (1381). بررسی تاثیر گسترش اراضی فاریاب و طرح توسعه در خوزستان بر کیفیت آب رودخانه­های کارون و دز. پایان­نامه کارشناسی­ارشد دانشگاه آزاد اهواز. صفحات 32-29
علوی پناه، کاظم، 1388، اصول سنجش ازدور نوین و تفسیر تصاویر ماهوارهای و عکس­های هوایی، انتشارات دانشگاه تهران.صفحات 323-322
 
 
Baugh, W.M., Groeneveld, D.P., 2008. Empirical proof of the empirical line. International Journal of   
     Remote Sensing Vol.29, No.3, 665–672
Beck, R. (2003). EO-1 User Guide. USGS Earth Resources Observation Systems Data Center (EDC)  
     47914 252Street Sioux Falls, S.D., 57198-0001 (605) 594-6511 http://edcwww.cr.usgs.gov
Bennet, A.; Bogorad, L.1973. Complimentary chromic adaption in a filamentous blue-green alga.  J.
     Cell Biol., 58, 410-435.
Dingtian, Y., Delu, P., Xiaoyu, Z., Xiaofeng, Z., Xianquiang, H., and Shujing, L. 2006. Retrieval of
     chlorophyll a and suspended solid concentrations by hyperspectral remote sensing in Taihu Lake, China. Chinese Journal of Oceanology and Limnology. Vol.24 No.4, p. 428-434
Donghai, L., Yanling, Q., Hongyan, H., Jun, H., Shihui. W., Hongen, Z., and Zhiliang, Z., 2009. Hyper-
     spectrum models for monitoring water quality in Dianshan Lake, China. Chinese journal of  
     Oceanology and Limnology. Vol.27 No. 1, P. 142-146
Ekercin, S., 2007. Water Quality Retrievals from High Resolution Ikonos Multi spectral Imagery: A  
     Case Study in Istanbul, Turkey. Water Air Soil Pollut.183:239–251, DOI10.1007/s11270-007-9373-5
     Gitelson, A. A. The peak near 700 nm on reflectance spectra of algae and water: Relationships of its  
     magnitude and position with chlorophyll concentration. Int. J. Rem. Sens. 1992, 13, 3367-3373
Harvey, G.W., 1989. Technical review of sediment criteria, for consideration for inclusion inIdaho  Water Quality Standards. Idaho Dept. of Health and Welfare, Water Quality Bureau, Boise, ID
Huang, Y. Jiang, D. Zhuang, D., and Fu, J. 2010. Evaluation of Hyperspectral Indices for Chlorophyll-a  
     Concentration Estimation in Tangxun Lake (Wuhan, China). Int. J. Environ. Res. Public Health, 7,  
     2437-2451.
Jensen, J. R. (2000). Remote sensing of the environment. An earth resource perspective. Upper Saddle
     River. Prentice Hal
Kloiber, S.M., Brezonik, P.L., and Bauer, M.E., 2002a. Application of Landsat imagery to regional-scale  
     assessments of lake clarity. Water Research. 36, 4330–4340
Kloiber, S.M., Brezonik, P.L., Olmanson, L.G., and Bauer, M.E., 2002b. A procedure for regional lake  
   water clarity assessment using Landsat multispectral data. Remote Sensing of Environment, 82, 38–47.
Lillesand, T.M., Kiefer, R.W., and Chipman, J.W., 2004. Remote Sensing and image interpretation. New  
    York. Wiley.
Ma, R.H., Dai, J.F. 2005. Chlorophyll-a Concentration Estimation with Field Spectra of Water-body  
     near Meiliang Bayou in Taihu Lake. J. Rem .Sens. 2005, 9, 78-86.
Nas, B., Ekercin, S., Karabork, H., Berktay, A., and Mulla, D.J., 2009. An Air Soil Application of  
     Landsat-5TM image data for water quality mapping in lake Beysehir, Turkey. Water Pollut, DOI  
     10.1007/s11270-010-0331-2
Nas, B., Ekercin, S., Karabork, H., Berktay, A., and Mulla, D.J., 2010. An Application of Landsat-5TM
     Image Data for Water Quality Mapping in Lake Beysehir, Turkey. Water Air Soil Pollut.  
     DOI10.1007/s11270-010-0331-2
Olmanson, L.G., Bauer, M.E., and Brezonik, P.L., 2008. A 20 – year Landsat water clarity census of
     Minnesota’s 10,000 Lakes. Remote Sensing of Environment. 122(11), 4086–4097.
Reddy, M. A. (1997). A detailed statistical study on selection of optimum IRS LISS pixel configuration  
     for development of Water quality models. International Journal of Remote Sensing, 18, 2559–2570.
Senay, G.B., Shafique, N.A., Autrey, B.C., Fulk, F., and Cormier, S.M., 2001. The Selection of Narrow  
     Wavebands for Optimizing Water Quality Monitoring on the Great Miami River, Ohio using  
     Hyperspectral Remote Sensor Data. J. Spatial Hydrology, 1, 1-22
Wang, J., and Tian, Q., 2009. Chlorophyll-a Concentration Estimated by Hyperspectral Remote Sensing  
     in Liaodong Bay. MIPPR. Remote Sensing and GIS Data Processing and Other Applications. pp.
     749807-749807-8
Zhang, Y., Pulliainen, J.T., Koponen, S.S., and Hallikainen, M.T. 2003.Water quality retrievals from     
     combined Landsat TM Data and ERS-2 SAR Data in the Gulf of Finland. IEEE Transactions on  .  
     Geoscience and Remote Sensing. 41, 622-629
 
 

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