Estimating nonpoint pollution loading from the Danshui catchment based on HSPF and regression model
基于HSPF及回归模型的淡水河流域非点源负荷计算

In this study, the streamflow simulated by HSPF (Hydrological Simulation Program - Fortran) and a regression model were used to estimate nonpoint source loading of the Danshui catchment in Dongjiang watershed, Guangdong Province. Results showed that the regression model made a reasonable reproduction of the temporal variation of pollutant fluxes during 2010. Statistical results indicated the significant contribution of pollutant fluxes during wet season to annual fluxes. The fluxes of SS, CODCr, NO3--N and TP contributed 86.81%, 77.56%, 69.83% and 73.08% to their annual fluxes, respectively. Regression model in this study only established the linkage between streamflow and pollutant fluxes. Other factors, such as anthropogenic activities, were not included. Thus, the weak correlation between NH4+-N, TN computed fluxes and observed value may be due to the close relationship between these nutrients and point source discharge from anthropogenic activities.