Surface Water Quality Analysis in Thamirabarani River Using Remote Sensing And GIS

Abstract

A combination of twenty different in-situ measurements and satellite-derived Landsat data has been utilized to deduce the correlation between the observed Water Quality Parameters (WQP) between the two sources mentioned above for the area of study, the Tamirabarani river, Tirunelveli, on the ArcGIS software. The correlation proved to be inconsonant with the corollaries stated above when processed through the linear regression model constructed to serve the purpose. The Landsat data and in-situ observed values of total dissolved solids (TDS), pH, salinity, electrical conductivity, and Dissolved Oxygen (DO) were passed through this model quantify the WQP. The results demonstrated that the band combination and band rationing of Landsat against the ground sampling measurements were almost parallel. The averaged estimated values of the ground measurements for pH, BOD, NH 3 , NO 3 , TSS, and TDS were 7.13, 2.212, 1.68, 2.634, 95.13, 80.71, respectively. The corresponding concentration values for Landsat data are 7.54, 2.568, 0.33, 2.536, 102.466, and 88.002, respectively. These numerals prove that Landsat data would be a good fit for estimating and monitoring Water Quality Parameters (WQP) in the Tamirabarani river, Tirunelveli, on a regional scale.