GIS and statistical analysis tools were used to examine the impact of catchment size and land use predictors that have an influence on the Kinta River water quality. The percentage of five land use predictor variables specifically forest land, agricultural land, developed areas, water bodies and mine areas were extracted from the entire catchment and buffer zones with radii ranging from 200 to 1000 m. Correlation and regression analysis were conducted on twelve water quality parameters at ten selected stations.

Categories: Air, Kualiti, Sungai
Tags: Artikel Jurnal, Data Penerbitan, Terbuka