Mapping runoff generating areas using AGNPS-VSA model

In humid regions, surface runoff is often generated by saturation-excess runoff mechanisms from relatively small variable source areas (VSAs). However, the majority of the current hydrologic models are based on infiltration-excess mechanisms. In this study, the AGricultural Non-Point Source Pollutio...

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Bibliographic Details
Published in:Hydrological sciences journal 2020-10, Vol.65 (13), p.2224-2232
Main Authors: Panjabi, Kishor, Rudra, Ramesh, Goel, Pradeep, Daggupati, Prasad, Shrestha, Narayan Kumar, Shukla, Rituraj, Zhang, Binbin, Allataifeh, Nabil
Format: Article
Language:English
Subjects:
Agricultural land
Agricultural management
AGricultural Non-Point Source Pollution (AGNPS) model
Agricultural pollution
Agricultural runoff
Best management practices
Hydrologic models
Hydrology
infiltration excess
Mapping
Nonpoint source pollution
Point source pollution
Pollutant load
Pollutants
Pollution load
Pollution sources
Receiving waters
Runoff
Saturation
saturation excess
Surface runoff
topographic wetness index (TWI)
variable source areas (VSA)
Water pollution
Wetness index
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Summary:In humid regions, surface runoff is often generated by saturation-excess runoff mechanisms from relatively small variable source areas (VSAs). However, the majority of the current hydrologic models are based on infiltration-excess mechanisms. In this study, the AGricultural Non-Point Source Pollution (AGNPS) model was used to integrate the VSA concept using topographic wetness index (TWI). Both the original and AGNPS-VSA models were evaluated for a small agricultural field in Ontario, Canada. The results indicate that the AGNPS-VSA model performed better than original model. The AGNPS-VSA model predicted that only the saturated portion of the field with higher TWI values produced runoff, whereas the original AGNPS model showed uniform hydrologic response from the entire field. The results of this study are important for accurately mapping the locations of VSAs. This new model could be a powerful tool in identifying critical source areas for applying targeted best management practices to minimize pollutant loads to receiving waters.
ISSN:0262-6667
2150-3435
DOI:10.1080/02626667.2020.1798007