Modeling runoff and sediment yields from combined in-field crop practices using the Soil and Water Assessment Tool

Maski, Devanand; Mankin, Kyle R.; Janssen, K. A.; Tuppad, Pushpa; Pierzynski, Gary M.

doi:10.2489/jswc.63.4.193

Cited by 20 publications

(24 citation statements)

References 29 publications

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“…The major components of the SWAT model are climate, hydrologic cycle, sediment, nutrients, pesticide, bacteria, plants, and management. The SWAT model has been widely used to quantify the water quality impacts of various management decisions at various spatial scales, ranging from field and farm level Gollamudi et al 2007;Maski et al 2008;Srivastava et al 2007) to large watersheds (Green et al 2006;Quansah et al 2008;White and Chaubey 2005) and at various temporal scales, ranging from daily to several decades (Heathman et al 2009;Renschler and Lee 2005). More than 250 peer-reviewed journal articles have been published demonstrating the SWAT applications on sensitivity analyses, model calibration, hydrologic analyses, pollutant load assessment, and climate change impacts on hydrology and pollutant losses (Gassman et al 2007).…”

Section: Soil and Water Assessment Tool Model Description And Input Dmentioning

confidence: 99%

Effectiveness of best management practices in improving water quality in a pasture-dominated watershed

Chaubey¹,

Chiang²,

Gitau³

et al. 2010

Journal of Soil and Water Conservation

130

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Abstract:The nonpoint source pollution problem can be controlled by implementing various best management practices (BMPs) in the watershed. However, before such practices are adopted, their effectiveness at various spatial and temporal scales must be evaluated. The objective of this research was to evaluate a suite of BMPs in a pasture-dominated watershed in their effectiveness at controlling nutrient losses. A total of 171 different BMP combinations incorporating grazing and pasture management, riparian and buffer zones, and poultry litter applications were evaluated for their effectiveness using the Soil and Water Assessment Tool (SWAT) model. The SWAT model was parameterized using detailed farm and watershed-scale data. The stochasticity in weather was captured by generating 250 various possible weather realizations for a 25-year period, using measured historical climate data for the watershed. Model results indicated that losses of both total nitrogen, mineral phosphorus, and total phosphorus increased with an increase in litter application rates. For the same application rates, greatest losses were predicted for fall application timings compared to spring and summer applications. Overgrazing resulted in greater nutrient losses compared to baseline conditions for all application rates, timings, and litter characteristics, indicating that overgrazing of pasture areas must be avoided if any improvement in the water quality is to be expected. Variability in weather conditions significantly affected BMP performance; under certain weather conditions, an increase in pollutant losses can be greater than reductions due to BMPs implemented in the watershed. Buffer strips and grazing management were two most important BMPs affecting the losses of total nitrogen and total phosphorus from the pasture areas.

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Section: Soil and Water Assessment Tool Model Description And Input Dmentioning

confidence: 99%

Effectiveness of best management practices in improving water quality in a pasture-dominated watershed

Chaubey¹,

Chiang²,

Gitau³

et al. 2010

Journal of Soil and Water Conservation

130

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“…Daily time series of maximum and minimum temperature, relative humidity, solar radiation, and wind speed (2000 to 2004) served as the weather input data, which were measured at the nearest weather station (about 20 km away) at Ottawa, Kansas (Maski et al, 2008). The precipitation data included data measured on-site during the growing season (April through October) and were supplemented with data from the Ottawa weather station during the winter months.…”

Section: Data Sourcesmentioning

confidence: 99%

“…Sediment concentration in the runoff was measured by filtering 100 mL of water through pre-weighed 0.45 μm pore size filter paper with assistance of a vacuum pump. These filter papers were dried in an oven at approximately 105°C for 24 h and then weighed to determine sediment mass (Csuros, 1997;Maski et al, 2008). Annual crop yield was obtained from 2000 to 2004.…”

Section: Study Area and Sample Collectionmentioning

confidence: 99%

“…Traditionally, accounting for terrace impacts on runoff, sediment, and nutrient yields in models such as SWAT and APEX has relied on empirical approaches involving adjustment of key input variables such as the runoff curve number (CN), slope length, and Universal Soil Loss Equation (USLE) control practice factor (USLE P-factor) (Arabi et al, 2008;Waidler et al, 2011;Maski et al, 2008;Bracmort et al, 2006). These empirical approaches draw on original USLE research (Wischmeier and Smith, 1978;Laflen and Moldenhauer, 2003) and to date have served as the only practical way to represent terraces in most water quality and environmental models.…”

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confidence: 99%

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Development and Application of Algorithms for Simulating Terraces within SWAT

2013

Trans. ASABE

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“…Watershed runoff potential is often expressed through the widely used Natural Resources Conservation Service (NRCS) curve number (CN). A review of the literature suggests that there are many studies involving models and small-scale studies of no-till systems (Maski et al 2008), but only one study was found where CN was determined using runoff data from a no-till watershed (Endale et al 2011). In this study, the authors used a 33-year runoff record from a 2.7 ha (6.7 ac) watershed in Watkinsville, Georgia, in the Piedmont used to grow no-till soybean (Glycine max L.), sorghum (Sorghum bicolor L.), millet (Pennisetum glaucum L.), cotton (Gossypium hirsutum L.) and corn in the summer, with barley (Hordeum vulgare L.), wheat (Triticum asetivum L.), crimson clover (Trifolium incarnatum L.), and rye (Secale cereale L.) as winter cover crops.…”

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confidence: 99%

Curve numbers for long-term no-till corn and agricultural practices with high watershed infiltration

Bonta¹,

Shipitalo²

2013

Journal of Soil and Water Conservation

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Abstract:The Curve Number (CN) method is an engineering and land management tool for estimating surface runoff from rainstorms. We investigated CN under continuous longterm no-till corn (Zea mays L.; watershed WS191) and compared it with other potentially high infiltration agricultural practices using data from three experimental watersheds (average area = 0.74 ha [1.83 ac]) at the North Appalachian Experimental Watershed (NAEW) near Coshocton, Ohio. Practices compared were wheat (Triticum aestivum L.) and first-and second-year meadow as part of a 4-year corn-wheat-meadow-meadow rotation (CWMM), continuous meadow, and continuous no-till corn, mulch-tilled corn, and conventionally tilled corn (i.e., moldboard plow). Double-mass curves of runoff for no-till and permanent meadow documented the significant and immediate reduction in runoff from the no-till management. Runoff was generated at a rate of 4.9 mm y -1 (0.19 in yr ) (no-till was 11% of the meadow rate). The asymptotic CN (CNi) for the 48-year record of continuous no-till corn practice at WS191 decreased substantially to 66.3 (-24.3 CN units) from the period of conventional corn in rotation on the same site. The Natural Resources Conservation Service handbook value for no-till CN was 16 CN units larger at 82. The larger than expected reduction in CN was probably due the presence of a thriving earthworm population and numerous earthworm-created macropores that enhance infiltration. The CN for the mulchtilled corn culture treatment (74.6) was lower than conventional corn (90.6 largest) by 16 CN units. CN was surprisingly high (77.4) for a watershed in continuous meadow, which was similar to mulch-tilled corn. The wheat years in rotation also had some of the smallest CN values (63.7), suggesting a smaller CN for a practice similar to that used in organic agriculture today. Continuous no-till corn had a slightly larger CN (66.3) than meadow (61.9) in the CWMM rotation, suggesting that simple grass establishment can be as effective as longterm no-till to reduce runoff. CN of approximately 60 was the lowest found. The results are applicable for areas of similar terrain, management practices, geology, soils, subsoil permeability, and climate of the NAEW watersheds. Differences between handbook and measured CN suggest that local values are more representative than handbook values.

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Modeling runoff and sediment yields from combined in-field crop practices using the Soil and Water Assessment Tool

Cited by 20 publications

References 29 publications

Effectiveness of best management practices in improving water quality in a pasture-dominated watershed

Effectiveness of best management practices in improving water quality in a pasture-dominated watershed

Development and Application of Algorithms for Simulating Terraces within SWAT

Curve numbers for long-term no-till corn and agricultural practices with high watershed infiltration

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