Investigation of water quality and its spatial distribution in the Kor River basin, Fars province, Iran

As one of the largest rivers in the southwest of Iran, the Kor River plays an important role in local economy and ecosystem. However, the rapid development of industry has caused significant pollution in this river in recent years. Despite of a number of studies reported on this river regarding water pollution, few have conducted a comprehensive investigation of a wide range of water quality parameters to map the current pollution status. This study focuses on 21 water quality parameters around the industrial centers of the Kor River basin with samples taken from 25 stations. With the measured parameters, the interpolation maps of each parameter were determined using the Kriging method, and the water quality was quantified using the Water Quality Index (WQI) method. The results showed that the WQI values were between 28 and 73, showing more pollution around the factories than in the upstream areas. The results of the principal component analysis (PCA) indicated that BOD, COD, NO3-, and coliforms were the most important parameters among the 21 parameters affecting the water quality. Linear regression results suggested that the best parameters for determining coliforms and WQI values were BOD, and Cr, PO43-, Hg and Zn levels, respectively, with R-2 greater than 0.87. These results can also simplify the prediction of coliforms and WQI using only a few parameters. We further found that flatter regions generally had more pollution, primarily due to pollutant accumulation as a result of water stagnation.

Automated summary

This study focuses on the water quality of the Kor River in southwest Iran, finding that industrial areas are more polluted than upstream areas, primarily influenced by parameters such as BOD, COD, NO3-, and coliforms. Linear regression results indicate that BOD is the best parameter for predicting coliforms, while Cr, PO43-, Hg, and Zn levels are best for predicting Water Quality Index values.