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Water Quality Assessment Models for Dokan Lake Using Landsat 8 OLI Satellite Images

Hasti Shwan Abdullah1, Mahmoud S. Mahdi2 & Hekmat M. Ibrahim1

1Department of  Irrigation, Faculty of Engineering, Sulaimani University, Kurdistan Region, lraq
2Building & Construction Engineering Department, University of Technology, Baghdad, Iraq.

Original: 15 November 2016, Revised: 15 April 2017, Accepted: 16 May 2016, Published online: 20 September 2017


It is impractical to monitor water quality more than a small fraction of lakes by conventional field methods because of expense and time requirements. Satellite image is more convenient to be applied to collect the required data for monitoring and assessing water quality in the lakes. Therefore, this study aims to estimate the concentration of some water quality parameters (Temperature, DO, BOD, pH, Turbidity, TSS, TDS, EC, NO3, PO4 and E. coli) by applying developed models based on the remote sensing and GIS techniques on the Landsat 8 OLI satellite image using twenty points in Dokan lake, Kurdistan Region, Iraq at two different seasons. Multiple linear regression is used to obtain mathematical models for estimating the concentration of some water quality parameters depending on spectral reflectance of Landsat 8 OLI. In this study, new band (coastal blue) of Landsat 8 OLI has been
undertaken in developing of models. Moreover, new Independent Component Analysis (ICA) and new 7 band ratios with 16 band combinations have been used. The best models are obtained for TSS, Turbidity and DO with coefficient of determination (R2 ) of 0.98, 0.98, and 0.83 respectively. Generally, for spring season, the performance of all models is reduced due to seasonal change, variance of parameters and other factors. However, high R2 of 0.86 has been shown for Temperature. The results of the developed WQPs models have been mapped to show the water quality parameters concentration distribution within Dokan lake. The conclusions present that correlation of all bands of Landsat 8 OLI is appropriate to water quality parameters.

KeywordsDokan Lake, WQPs, Image Processing, Landsat 8, GIS


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