Soil and Water Assessment Tool Hydrologic and Water Quality Evaluation of Poultry Litter Application to Small-Scale Subwatersheds in Texas

Green, C. H.; Arnold, Jeffrey G.; Williams, J. R.; Haney, Richard L.; Harmel, R. Daren

doi:10.13031/2013.23634

Cited by 25 publications

(6 citation statements)

References 37 publications

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“…A variety of tools have been developed that can be used to investigate the impacts of climate change and/or land use change in agricultural ecosystems including the soil and water assessment tool (SWAT) eco-hydrological model (Arnold et al, 1998(Arnold et al, , 2012Williams et al, 2008). SWAT has been used worldwide to investigate an extensive array of hydrological and/or pollutant transport problems across a wide range of watershed scales (Gassman et al, 2007(Gassman et al, , 2014; Krysanova and White, 2015;Bressiani et al, 2015;Gassman and Wang, 2015). An extensive review of earlier SWAT literature revealed that applications of the model for climate change and land use scenarios were two of the key application trends occurring at that time (Gassman et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

“…SWAT has been used worldwide to investigate an extensive array of hydrological and/or pollutant transport problems across a wide range of watershed scales (Gassman et al, 2007(Gassman et al, , 2014; Krysanova and White, 2015;Bressiani et al, 2015;Gassman and Wang, 2015). An extensive review of earlier SWAT literature revealed that applications of the model for climate change and land use scenarios were two of the key application trends occurring at that time (Gassman et al, 2007). More recent reviews of SWAT literature confirm that this trend has continued unabated (Krysanova and White, 2015; and current documentation of the SWAT literature indicates that roughly 500 studies describe some type of climate change application while over 300 studies report the effects of land use change (CARD, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…An emerging trend in this overall subset of SWAT literature is the application of the model for combined climate change and land use change impacts (Krysanova and White, 2015;Gassman et al, 2014); over 70 combined impact studies have now been documented (CARD, 2016). Such studies first were reported for Chinese conditions (Li et al, 2004), which now include applications focused on capturing the ef-fects of historical land use change due to the influence of Chinese government programs (Zuo et al, 2016;G.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of impacts of agricultural and climate change scenarios on watershed water quantity and quality, and crop production

Dagnew¹,

Gassman²,

Schoof³

et al. 2016

Preprint

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Abstract. Modeling impacts of agricultural scenarios and climate change on surface water quantity and quality provides useful information for planning effective water, environmental, and land use policies. Despite the significant impacts of agriculture on water quantity and quality, limited literature exists that describes the combined impacts of agricultural land use change and climate change on future bioenergy crop yields and watershed hydrology. In this study, the Soil and Water Assessment Tool (SWAT) eco-hydrological model was used to model the combined impacts of five agricultural land use change scenarios and three downscaled climate pathways (representative concentration pathways, RCPs) that were created from an ensemble of eight atmosphere-ocean general circulation models (AOGCMs). These scenarios were implemented in a well calibrated SWAT model for the Raccoon River watershed (RRW) located in western Iowa. The scenarios were executed for the historical baseline, early-century, mid-century, and late-century periods. The results indicate that historical and more corn intensive agricultural scenarios with higher CO2 emissions consistently result in more water in the streams and greater water quality problems, especially late in the 21st century. Planting more switchgrass, on the other hand, results in less water in the streams and water quality improvements relative to the baseline. For all given agricultural landscapes simulated, all flow, sediment and nutrient outputs increase from early-to-late century periods for the RCP4.5 and RCP8.5 climate scenarios. We also find that corn and switchgrass yields are negatively impacted under RCP4.5 and RCP8.5 scenarios in the mid and late 21st century.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Assessment of impacts of agricultural and climate change scenarios on watershed water quantity and quality, and crop production

Dagnew¹,

Gassman²,

Schoof³

et al. 2016

Preprint

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“…The Soil and Water Assessment Tool (SWAT) is an ecohydrological model that we are using to quantify crop growth, hydrological cycling, nutrient cycling/transport, erosion processes, sediment transport, and transport of pesticides/ pathogens used in cropping systems and associated with those management practices (Arnold et al, 1998;Gassman et al, 2007, Arnold et al, 2012Bieger et al, 2017). We include inputs for climate (Texas, 2020), topography (USGS, 2020), soil (USDA, 2020), landcover (Macal, 2016) and cropping systems to generate outputs including streamflow, evapotranspiration, and subsurface tile drainage flow.…”

Section: Water: Soil and Water Assessment Tool (Swat) Modelmentioning

confidence: 99%

Iowa Urban FEWS: Integrating Social and Biophysical Models for Exploration of Urban Food, Energy, and Water Systems

et al. 2021

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Most people in the world live in urban areas, and their high population densities, heavy reliance on external sources of food, energy, and water, and disproportionately large waste production result in severe and cumulative negative environmental effects. Integrated study of urban areas requires a system-of-systems analytical framework that includes modeling with social and biophysical data. We describe preliminary work toward an integrated urban food-energy-water systems (FEWS) analysis using co-simulation for assessment of current and future conditions, with an emphasis on local (urban and urban-adjacent) food production. We create a framework to enable simultaneous analyses of climate dynamics, changes in land cover, built forms, energy use, and environmental outcomes associated with a set of drivers of system change related to policy, crop management, technology, social interaction, and market forces affecting food production. The ultimate goal of our research program is to enhance understanding of the urban FEWS nexus so as to improve system function and management, increase resilience, and enhance sustainability. Our approach involves data-driven co-simulation to enable coupling of disparate food, energy and water simulation models across a range of spatial and temporal scales. When complete, these models will quantify energy use and water quality outcomes for current systems, and determine if undesirable environmental effects are decreased and local food supply is increased with different configurations of socioeconomic and biophysical factors in urban and urban-adjacent areas. The effort emphasizes use of open-source simulation models and expert knowledge to guide modeling for individual and combined systems in the urban FEWS nexus.

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“…Many studies have used simulation models to evaluate BMP effectiveness and determine the optimum BMPs to improve water quality at the farm level [11] and at a watershed level [12,13,14,15,16]. However, considering resource constraints, it is not possible to implement BMPs in every candidate location in a watershed.…”

Section: Introductionmentioning

confidence: 99%

Comparing the Selection and Placement of Best Management Practices in Improving Water Quality Using a Multiobjective Optimization and Targeting Method

Chiang

Chaubey

Maringanti

et al. 2014

IJERPH

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Suites of Best Management Practices (BMPs) are usually selected to be economically and environmentally efficient in reducing nonpoint source (NPS) pollutants from agricultural areas in a watershed. The objective of this research was to compare the selection and placement of BMPs in a pasture-dominated watershed using multiobjective optimization and targeting methods. Two objective functions were used in the optimization process, which minimize pollutant losses and the BMP placement areas. The optimization tool was an integration of a multi-objective genetic algorithm (GA) and a watershed model (Soil and Water Assessment Tool—SWAT). For the targeting method, an optimum BMP option was implemented in critical areas in the watershed that contribute the greatest pollutant losses. A total of 171 BMP combinations, which consist of grazing management, vegetated filter strips (VFS), and poultry litter applications were considered. The results showed that the optimization is less effective when vegetated filter strips (VFS) are not considered, and it requires much longer computation times than the targeting method to search for optimum BMPs. Although the targeting method is effective in selecting and placing an optimum BMP, larger areas are needed for BMP implementation to achieve the same pollutant reductions as the optimization method.

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Soil and Water Assessment Tool Hydrologic and Water Quality Evaluation of Poultry Litter Application to Small-Scale Subwatersheds in Texas

Abstract: ABSTRACT. The application of poultry litter to agricultural land has become a topic of interest for policy makers due to public concern about its effects on water quality. The Soil and Water Assessment Tool (SWAT)

Cited by 25 publications

References 37 publications

Assessment of impacts of agricultural and climate change scenarios on watershed water quantity and quality, and crop production

Assessment of impacts of agricultural and climate change scenarios on watershed water quantity and quality, and crop production

Iowa Urban FEWS: Integrating Social and Biophysical Models for Exploration of Urban Food, Energy, and Water Systems

Comparing the Selection and Placement of Best Management Practices in Improving Water Quality Using a Multiobjective Optimization and Targeting Method

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