Modeling Agricultural Watersheds with the Soil and Water Assessment Tool (SWAT): Calibration and Validation with a Novel Procedure for Spatially Explicit HRUs
详细信息 查看全文
- 作者：Awoke Dagnew Teshager ; Philip W Gassman ; Silvia Secchi…
- 关键词：Watershed modeling ; SWAT ; Calibration ; Flow ; Landuse ; HRUs
- 刊名：Environmental Management
- 出版年：2016
- 出版时间：April 2016
- 年：2016
- 卷：57
- 期：4
- 页码：894-911
- 全文大小：17,938 KB
- 刊物类别：Earth and Environmental Science
- 刊物主题：Environment
Environmental Management
Ecology
Nature Conservation
Atmospheric Protection, Air Quality Control and Air Pollution
Forestry Management
Waste Water Technology, Water Pollution Control, Water Management and Aquatic Pollution - 出版者：Springer New York
- ISSN：1432-1009
文摘
Applications of the Soil and Water Assessment Tool (SWAT) model typically involve delineation of a watershed into subwatersheds/subbasins that are then further subdivided into hydrologic response units (HRUs) which are homogeneous areas of aggregated soil, landuse, and slope and are the smallest modeling units used within the model. In a given standard SWAT application, multiple potential HRUs (farm fields) in a subbasin are usually aggregated into a single HRU feature. In other words, the standard version of the model combines multiple potential HRUs (farm fields) with the same landuse/landcover, soil, and slope, but located at different places of a subbasin (spatially non-unique), and considers them as one HRU. In this study, ArcGIS pre-processing procedures were developed to spatially define a one-to-one match between farm fields and HRUs (spatially unique HRUs) within a subbasin prior to SWAT simulations to facilitate input processing, input/output mapping, and further analysis at the individual farm field level. Model input data such as landuse/landcover (LULC), soil, crop rotation, and other management data were processed through these HRUs. The SWAT model was then calibrated/validated for Raccoon River watershed in Iowa for 2002–2010 and Big Creek River watershed in Illinois for 2000–2003. SWAT was able to replicate annual, monthly, and daily streamflow, as well as sediment, nitrate and mineral phosphorous within recommended accuracy in most cases. The one-to-one match between farm fields and HRUs created and used in this study is a first step in performing LULC change, climate change impact, and other analyses in a more spatially explicit manner.