ESTIMATION OF SURFACE WATER QUALITY CHANGES IN RESPONSE TO LAND USE CHANGE USING REMOTE SENSING AND GIS TECHNIQUESMAHDI MAHMOODI, MAHDI HONARMAND , FARZIN NASERI AND SEDIGHEH MOHAMMADIAbstract The purpose of this study was to estimate the impact of land use changes on surface water quality of river by using remote sensing technique. We assessed the impacts of catchment-wide land use on water quality during three decades in Razavi Khorasan Province of Iran, using remote sensing, geographic information systems and multivariate statistical techniques. Land cover changes detection have done using Landsat satellite images belonging to the years 1987 (TM), 2001 (ETM+) and 2015 (OLI). A series of significant land use change were identified within three time intervals, referring to satellite images based on RS and GIS standard techniques. To assess the significance of trends in the time series of water quality variables, non-parametric trend tests were performed after removing variance. The water quality data available for the analysis in this study belong to the observed period from 1987 to 2015 in a river gauge station located at the outlet of the 36 catchments. Then, using multivariate linear regression model we tried to estimate water quality variables in the year 2029. Results demonstrated that with the exception of Carbonate and Bicarbonate, the models estimate all other water quality variables with an acceptable degree of accuracy.
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