| This article has been：Browse 1437Times Download 950Times |
scan it! |
|
|
| DOI：10.13522/j.cnki.ggps.2017.0075 |
|
| Using the HSPF Model to Study the Effects of Precipitation on Nonpoint Source Pollution in Dongjiang Basin |
|
BAI Xiaoyan, WEI Shuai , SHI Xu, CHEN Xiaohong
|
|
School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China; Reservoir and Hydropower Project Management Center of Zhongshan City, Zhongshan, 528400, China; Center for Water Resources and Environment, Sun Yat-sen University, Guangzhou 510275, China; Key Laboratory of Water Cycle and Water Security in Southern China of Guangdong High Education Institute, Guangzhou 510275, China
|
| Abstract: |
| 【Objective】 Spreading of contaminants emanating from nonpoint pollutant sources depends on many factors and this paper investigated how it is affected by precipitation by taking the Dong River basin as an example. 【Method】We first simulated the spreading of BOD, total N (TN) and total P (TP) using the HSPF model, and then analyzed the relationship between the nonpoint pollution loading and the precipitation from 2007 to 2009. 【Result】The errors of the monthly runoff, the annual sediment discharge and the load of the three contaminants calculated by the model were all less than 15% with their R2 and Ens approximately of 0.9. The loading of BOD, TN and TP increased in flooding season from April to September with a peak in June, accounting for 86.7%, 79.3% and 85.5% of their annual total loading respectively. Outside this winding, the loadings of the three pollutants accounted for only 13.3%, 20.7% and 14.5% of their total annual loading, with a trough in January. 【Conclusion】 The HSPF model is capable of simulating non-point pollution loading in the Dong River basin; the spreading of BOD, TN and TP was predominantly impacted by precipitation. Except for TN, the spatial distributions of BOD and TP are consistent with that of the precipitation. |
| Key words: HSPF; precipitation; non-point source pollution; temporal-spatial characteristics; River Basin |
|
|
