The Water Erosion Prediction Project(WEPP)model code was modified extensively to support the simulation of nonpoint source(NPS)pollutant sourcing and transport in nonuniform hillslopes based on NPS science from the So...The Water Erosion Prediction Project(WEPP)model code was modified extensively to support the simulation of nonpoint source(NPS)pollutant sourcing and transport in nonuniform hillslopes based on NPS science from the Soil and Water Assessment Tool(SWAT).This was accomplished utilizing WEPP's overland flow element(OFE)in place of SWAT's hydrologic response unit(HRU)construct which enabled more physically plausible routing within a hillslope.In addition,several improvements to the NPS code base were implemented.These include:free-source format,modern-Fortran conventions,minor enhancements to NPS model science,and code refactoring.This manuscript documents all model development activities,presents a comparison of relevant WEPP and WEPP-WQ code bases,and performs a local sensitivity analysis of the final model code for the most important input parameters and processes.Sensitivity results indicated that the model performed as expected according to its design and provided important insights for potential subsequent validation studies.展开更多
文摘The Water Erosion Prediction Project(WEPP)model code was modified extensively to support the simulation of nonpoint source(NPS)pollutant sourcing and transport in nonuniform hillslopes based on NPS science from the Soil and Water Assessment Tool(SWAT).This was accomplished utilizing WEPP's overland flow element(OFE)in place of SWAT's hydrologic response unit(HRU)construct which enabled more physically plausible routing within a hillslope.In addition,several improvements to the NPS code base were implemented.These include:free-source format,modern-Fortran conventions,minor enhancements to NPS model science,and code refactoring.This manuscript documents all model development activities,presents a comparison of relevant WEPP and WEPP-WQ code bases,and performs a local sensitivity analysis of the final model code for the most important input parameters and processes.Sensitivity results indicated that the model performed as expected according to its design and provided important insights for potential subsequent validation studies.
