Estimation of Unit of Nitrogen and Phosphorous Pollution Loading in Mekong River Basin

Abstract

In Mekong river basin, population increase and rapid economical growth may cause the water pollution problem in the future. In this study, a liner regression model was developed by using annual nutrient load and spatial statistic data from GIS analysis. Estimated units of nutrient pollution loading of forest, agricultural land, human and cattle represented the characteristics of Mekong river basin such as agricultural level, lifestyle, waste water treatment, livestock intensity, and compared with literature values of Japan. The result of effluent ratio from each pollution factors at five observation stations showed that nutrient load from human and agricultural land were more dominant in downstream area. Then, spatial distribution of nutrients load on 1km grid resolution was calculated from estimated unit of nutrient pollution loading.