Development and application of a non-point sources pollution model for simulation of hydrological process and nutrients loading in the Xitiaoxi catchment in south China

Water quantity and quality have become an increasing concern in many regions of China and other parts of the world. Agricultural non-point source pollution has been identified as the major contributor of pollution of water resources. Nutrients from diffuse non-point source pollution e.g. farmland fertilizer discharged into aquatic systems contribute main pollutants to surface water in a catchment, thereby causing serious ecological problems such as eutrophication, toxic algal blooms, oxygen depletion and loss of biodiversity. Thus, there is an urgent need to improve the water quality condition and reduce pollutants discharged into surface water.

 

 
This project was launched and funded by the program “Studies and Research in
Sustainability” from Deutscher Akademischer Austausch Dienst (DAAD). It aims to present a preliminary interpretation of hydrological process influenced by anthropological activities and understanding of nutrients dynamics in both arable land with intensive farming system and natural forests dominated catchment. The main tasks are to develop a raster-based Xinanjiang model by using PCRaster, an environmental dynamic modelling language for rainfall-runoff simulation (PCR-XAJ model), and to develop a nutrient dynamic model for prediction of both nitrogen and phosphorus transportation and mobilization (XAJ-NP model) based on the Integrated (INCA) model concept at a catchment scale.