Modeling Long-Term Water Quality Impact of Structural BMPS

Bracmort, Kelsi; Arabi, Mazdak; Frankenberger, J. R.; Engel, Bernard A.; Arnold, Jeffrey G.

doi:10.13031/2013.20411

Cited by 229 publications

(180 citation statements)

References 8 publications

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“…The SWAT is an effective tool for evaluating the long-term impacts of management on hydrologic processes of diverse watershed systems [12,13,38,39]. In addition, this model also estimates the climate change impacts on plant growth, stream flow, and other responses such as total water yield, ET, snowmelt, and many others by taking into account the effects of increased atmospheric CO 2 concentrations on plant development and transpiration [40,41].…”

Section: Swat Modelmentioning

confidence: 99%

“…SWAT model has been extensively used across the globe for assessing the long-term management [11], land use and climate change [1,[12][13][14][15][16] impacts on water quantity and quality at watershed scales. The development of SWAT is a continuation of United States Department of Agriculture-Agricultural Research Service (USDA-ARS) modeling experience that spans a period of over 30 years [17,18].…”

Section: Introductionmentioning

confidence: 99%

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Coupling of SUFI 2 and SWAT for Improving the Simulation of Streamflow in an Agricultural Watershed of South Dakota

Mehan¹,

Neupane²,

Kumar³

2017

Hydrol Current Res

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Calibration and validation of process based hydrological models are two major processes while simulating the water balance components of watershed systems. However, these processes need a better understanding of the parameters which influence hydrologic processes within the system. In this study, we used SWAT model to simulate the stream flow for Skunk Creek (SK) watershed in South Dakota for the period from 1980-2000. Model calibration and validation were performed for both daily and monthly time periods using SUFI-2 within SWAT-CUP using 24 parameters selected from past available literature. Our calibration outputs for the period from 1987-1994 showed a good correlation between observed and model simulated values with NSE=0.56 and R 2 =0.70 for daily simulation. However, the model showed a better performance for monthly simulation with NSE and R 2 values of 0.84 and 0.84 respectively. During validation period (1995)(1996)(1997)(1998)(1999)(2000), the NSE and r 2 values were 0.55 and 0.44, respectively for daily simulation and these statistical values were 0.76 and 0.77, respectively for monthly time step. Following calibration, the overall effect of each parameter used was ranked using global sensitivity function within SWAT-CUP. From the analysis, SOL_AWC was found to be the most sensitive parameter with absolute t-value of 17.50 and p-value of 0.00 to simulate the stream flow of the SK watershed. The CH_K2 was observed as the least sensitive parameter with t-statistic and p-value of 0.02 and 0.97, respectively. It was concluded from the study that coupling of the SWAT and SWAT-CUP made the calibration process quicker and reliable to simulate local hydrology within the watershed.

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Section: Swat Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Coupling of SUFI 2 and SWAT for Improving the Simulation of Streamflow in an Agricultural Watershed of South Dakota

Mehan¹,

Neupane²,

Kumar³

2017

Hydrol Current Res

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“…SWAT application for assessing LUCC impacts on sustainable development and watershed hydrological status is gaining momentum worldwide due to enormous anthropogenic activities on the natural systems of river basins [25][26][27][28][29][30][31][32]. In a case study at the Little Miami Watershed, USA, it was recognized that there is significant reduction in flow, sediments, and nutrients were detected as the land use in the watershed shifts from predominantly agricultural to mixed rural and residential lands [33].…”

Section: Impact Analysis Of Lucc By Swat Modelmentioning

confidence: 99%

“…Large sediment reductions could be obtained, depending on the choice of Best Management Practice as indicated by [46] on their analysis of Best Management Practices for the Walnut Creek and Buck Creek watersheds in Iowa. The impacts of Best Management Practices of three 25-year SWAT scenario simulations for two small watersheds in Indiana, USA, were studied [28], and indicated that for streamflow, sediment, and total phosphate Best Management Practices in varying conditions, and best management practices in good conditions are reported. [47] reported that within the 3000 km 2 Delaware River basin in northeast Kansas, USA in response to simulated shifts of cropland into switch grass production large nutrient and sediment loss reductions are occurred.…”

Section: Impact Analysis Of Lucc By Swat Modelmentioning

confidence: 99%

Performance Evaluation of SWAT Model for Land Use and Land Cover Changes under different Climatic Conditions: A Review

Kiros¹,

Shetty²,

Nandagiri³

et al. 2015

Hydrol Current Res

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“…[30] Conservation practices were modeled based on the approaches used by Bracmort et al [2006] and Arabi et al [2007]. These studies give a detailed procedure to successfully model different conservation practices in a watershed using the SWAT model.…”

Section: Conservation Practicesmentioning

confidence: 99%

Optimizing conservation practices in watersheds: Do community preferences matter?

2013

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[1] This paper focuses on investigating (a) how landowner tenure and attitudes of farming communities affect the preference of individual conservation practices in agricultural watersheds, (b) how spatial distribution of landowner tenure affects the spatial optimization of conservation practices on a watershed scale, and (c) how the different attitudes and preferences of stakeholders can modify the effectiveness of alternatives obtained via classic optimization approaches that do not include the influence of existing social attitudes in a watershed during the search process. Results show that for Eagle Creek Watershed in central Indiana, USA, the most optimal alternatives (i.e., highest benefits for minimum economic costs) are for a scenario when the watershed consists of landowners who operate as farmers on their own land. When a different land-tenure scenario was used for the watershed (e.g., share renters and cash renters), the optimized alternatives had similar nitrate reduction benefits and sediment reduction benefits, but at higher economic costs. Our experiments also demonstrated that social attitudes can lead to alteration of optimized alternatives found via typical optimization approaches. For example, when certain practices were rejected by landowner operators whose attitudes toward practices were driven by economic profits, removal of these practices from the optimized alternatives led to a setback of nitrates reduction by 2-50%, peak flow reductions by 11-98 %, and sediments reduction by 20-77%. In conclusion, this study reveals the potential loss in optimality of optimized alternatives possible, when socioeconomic data on farmer preferences and land tenure are not incorporated within watershed optimization investigations.

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Modeling Long-Term Water Quality Impact of Structural BMPS

Cited by 229 publications

References 8 publications

Coupling of SUFI 2 and SWAT for Improving the Simulation of Streamflow in an Agricultural Watershed of South Dakota

Coupling of SUFI 2 and SWAT for Improving the Simulation of Streamflow in an Agricultural Watershed of South Dakota

Performance Evaluation of SWAT Model for Land Use and Land Cover Changes under different Climatic Conditions: A Review

Optimizing conservation practices in watersheds: Do community preferences matter?

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