Coupling remote sensing data and eco-hydrological model to evaluate Non-point source pollution risk for water resource management

• Published in: World journal of engineering Vol. 11; no. 2; pp. 157 - 162
• Main Authors: Wang, Shudong, Zhang, Lifu, Zhang, Xia, Li, Wanqing, Shuai, Tong, Zhu, Haitao, Chen, Xiaoping
• Format: Journal Article
• Language: English
• Published: Brentwood Emerald Group Publishing Limited 01.06.2014
• Subjects: Catchments; Coupling; Distribution patterns; Drinking water; Hydrologic models; Nonpoint source pollution; Point source pollution; Pollution sources; Remote sensing; Reservoirs; Residential areas; Risk assessment; Spatial distribution; Water resources management; China, People's Rep
• ISSN: 1708-5284
• DOI: 10.1260/1708-5284.11.2.157

Non-point source pollution risk assessment for surface drinking water catchments is an important basis and premise for the scientific management over water environment, while remote sensing technology may timely find the spatial distribution pattern and variation of risk. Coupling the Non-point source model and remote sensing data is a potential method for the water environment risk assessment. The dual Non-point source model independently developed by China is chosen to study its practical applicability in the experimental catchment area of Hebei Yuecheng Reservoir in combination with the remote sensing and GIS data, and to study the spatial distribution pattern of the Non-point source Phosphorus (P) pollution generated by the spatial landuse. The result shows that:(1) the coupled model is well adapted to the catchment area of Hebei Yuecheng Reservoir, and the simulated Non-point source P load is strongly related to the observation data of the hydrologic stations such as Liujiazhuang, Guantai and etc.; (2) The disorderly development of social economy is the main cause of Non-point source pollution, and the farmlands, urban and rural residential areas in the catchment area are the major risk sources of Non-point source pollution; (3) the two assessment units, catchment unit and administration unit, are employed in this study. They are complementary to each other, which is convenient for management because they can reflect not only the P risk distribution but also the specific location of the administration areas within the risk area.