<scp>SWAT</scp>model: A Multi‐Operating System, Multi‐Platform <scp>SWAT</scp> Model Package in R

Fuka, Daniel R.; Walter, M. Todd; MacAlister, Charlotte; Steenhuis, Tammo S.; Easton, Zachary M.

doi:10.1111/jawr.12170

Cited by 23 publications

(15 citation statements)

References 4 publications

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“…The TI layer was then resampled to create a wetness class layer by dividing the TI values into ten equal area wetness classes, which ranged from a wetness class one (10% of the watershed with the lowest likelihood of run‐off) to a wetness class ten (10% of the watershed with the highest likelihood of run‐off). Finally, we used TopoSWAT (Fuka et al ., ), an automated ArcMap toolbox, to overlay the FAO‐UNESCO Digital Soil Map of the World (FAO, ) layer with the wetness class layer, which creates the HRU layer and associated lookup tables.…”

Section: Methodsmentioning

confidence: 99%

Predicting phosphorus dynamics in complex terrains using a variable source area hydrology model

et al. 2014

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Fuka, Daniel R.; Kleinman, Peter J.A.; Buda, Anthony R.; Weld, Jennifer L.; White, Mike J.; Veith, Tamie L.; Bryant, Ray B.; Bolster, Carl H.; and Easton, Zachary M., "Predicting phosphorus dynamics in complex terrains using a variable source area hydrology model" (2014 Phosphorus (P) loss from agricultural watersheds has long been a critical water quality problem, the control of which has been the focus of considerable research and investment. Preventing P loss depends on accurately representing the hydrological and chemical processes governing P mobilization and transport. The Soil and Water Assessment Tool (SWAT) is a watershed model commonly used to predict run-off and non-point source pollution transport. SWAT simulates run-off employing either the curve number (CN) or the Green and Ampt methods, both assume infiltration-excess run-off, although shallow soils underlain by a restricting layer commonly generate saturation-excess run-off from variable source areas (VSA). In this study, we compared traditional SWAT with a re-conceptualized version, SWAT-VSA, that represents VSA hydrology, in a complex agricultural watershed in east central Pennsylvania. The objectives of this research were to provide further evidence of SWAT-VSA's integrated and distributed predictive capabilities against measured surface run-off and stream P loads and to highlight the model's ability to drive sub-field management of P. Thus, we relied on a detailed field management database to parameterize the models. SWAT and SWAT-VSA predicted discharge similarly well (daily Nash-Sutcliffe efficiencies of 0.61 and 0.66, respectively), but SWAT-VSA outperformed SWAT in predicting P export from the watershed. SWAT estimated lower P loss (0.0-0.25 kg ha À1 ) from agricultural fields than SWAT-VSA (0.0-1.0+ kg ha À1 ), which also identified critical source areas -those areas generating large run-off and P losses at the sub-field level. These results support the use of SWAT-VSA in predicting watershed-scale P losses and identifying critical source areas of P loss in landscapes with VSA hydrology.

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Section: Methodsmentioning

confidence: 99%

Predicting phosphorus dynamics in complex terrains using a variable source area hydrology model

et al. 2014

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“…R [57] (RCD Team, 2015) is an open source, freely available system that can be used for statistical analysis and programming. R has been successfully used in hydrological modeling and its capabilities are well recognized [58]. R is compatible with most operating systems.…”

Section: R For Stormwater Management Model (Rswmm)mentioning

confidence: 99%

Assessing the Effects of Climate Change on Water Quantity and Quality in an Urban Watershed Using a Calibrated Stormwater Model

Alamdari

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Steinberg³

et al. 2017

Water

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Assessing climate change (CC) impacts on urban watersheds is difficult due to differences in model spatial and temporal scales, making prediction of hydrologic restoration a challenge. A methodology was developed using an autocalibration tool to calibrate a previously developed Storm Water Management Model (SWMM) of Difficult Run in Fairfax, Virginia. Calibration was assisted by use of multi-objective optimization. Results showed a good agreement between simulated and observed data. Simulations of CC for the 2041-2068 period were developed using dynamically downscaled North American Regional CC Assessment Program models. Washoff loads were used to simulate water quality, and a method was developed to estimate treatment performed in stormwater control measures (SCMs) to assess water quality impacts from CC. CC simulations indicated that annual runoff volume would increase by 6.5%, while total suspended solids, total nitrogen, and total phosphorus would increase by 7.6%, 7.1%, and 8.1%, respectively. The simulations also indicated that within season variability would increase by a larger percentage. Treatment practices (e.g., bioswale) that were intended to mitigate the negative effects of urban development will need to deal with additional runoff volumes and nutrient loads from CC to achieve the required water quality goals.

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“…The DSS downloads and parses meteorological data from the GFS-MOS forecast dataset every six hours. The GFS-MOS time series is obtained from an automatic implementation of the SWATmodel [28] and getMet [29] R packages. The SWAT-VSA model is then re-initialized with the dynamic meteorological inputs for each model run to produce predictions for each model forecast day.…”

Section: Swat-vsa Model Componentmentioning

confidence: 99%

A Web Based Interface for Distributed Short-Term Soil Moisture Forecasts

Sommerlot

Easton

2017

Water

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Agricultural non-point source (NPS) pollution is a source of water quality impairment, and demonstrates widely varying spatial and temporal pollution potential. Many efforts to protect water quality are based on seasonal and annual estimates of pollutant loss potential (NRCS 590 nutrient management standard, P-Index) that inadequately address the hydrologic processes driving NPS pollution. One barrier to adopting practices that address NPS pollution is a lack of tools capable of transferring information at sufficient spatial and temporal resolution so that end-users can make informed decisions. We introduce a web-based system displaying distributed hydrologic forecasts using free and open source software. The system consists of three primary components: (1) a hydrology model that provides short-term distributed forecasts; (2) a data structure capable of re-structuring large, high resolution rasters; (3) an interface employing adaptive map-viewing technology that allows end-users to interact with the data to avoid high-risk areas when planning agricultural practices.

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SWATmodel: A Multi‐Operating System, Multi‐Platform SWAT Model Package in R

Cited by 23 publications

References 4 publications

Predicting phosphorus dynamics in complex terrains using a variable source area hydrology model

Predicting phosphorus dynamics in complex terrains using a variable source area hydrology model

Assessing the Effects of Climate Change on Water Quantity and Quality in an Urban Watershed Using a Calibrated Stormwater Model

A Web Based Interface for Distributed Short-Term Soil Moisture Forecasts

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