Assessment of Total Maximum Daily Load Implementation Strategies for Nitrate Impairment of the Raccoon River, Iowa

Jha, M. K.; Wolter, Calvin F.; Schilling, Keith E.; Gassman, Philip W.

doi:10.2134/jeq2009.0392

Cited by 74 publications

(67 citation statements)

References 23 publications

(35 reference statements)

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“…Both factors have been shown to independently or collectively greatly impact watershed hydrology and/or water quality across a tremendous range of scales, as shown in literally hundreds of studies in existing literature (e.g., Wilson and Weng, 2011;Jha et al, 2006Jha et al, , 2010Secchi et al, 2011;Panagopoulos et al, 2015;Tan et al, 2015;Mehdi et al, 2015a, b). These land use and climate change impacts pose potentially serious issues for specific communities (Kundzewicz et al, 2007) as well as for large regions or whole countries (Heffernan et al, 2014;Howells et al, 2013;Moore et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

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

Dagnew

Gassman

Schoof

et al. 2016

Hydrol. Earth Syst. Sci.

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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) ecohydrological 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 wellcalibrated SWAT model for the intensively farmed and tiled 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 CO 2 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-tolate 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%

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

Dagnew

Gassman

Schoof

et al. 2016

Hydrol. Earth Syst. Sci.

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“…Several studies have used SWAT in subsurface-drained watersheds to simulate in-field management practices, such as the effect of rates, placement, and timing of fertilizer application (Jha et al 2010;Kalcic et al 2016;Muenich et al 2016a;Gildow et al 2016), the influence of tillage (Bosch et al 2013;Kalcic et al 2016), planting a cereal rye (Secale cereale) cover crop (Kalcic et al 2016), and changing rotations or land use (Jha et al 2010;Muenich et al 2016a;Scavia et al 2017). Vegetated filter strips are an edge-of-field practice frequently simulated in SWAT (Kalcic et al 2015b(Kalcic et al , 2016Muenich et al 2016a), while practices beyond the field, such as wetlands, are occasionally included in modeling efforts (Kalcic et al 2015b;Scavia et al 2017).…”

Section: Best Management Practices At the Watershed Scalementioning

confidence: 99%

“…In addition, models can be used with an optimization approach to choose conservation practices for water quality benefit at least cost (Gitau et al 2004;Arabi et al 2006;Maringanti et al 2011;Kaini et al 2012;Artita et al 2013;Kalcic et al 2015b). Others have tested targeting approaches or other predefined watershed management strategies (Jha et al 2010;Scavia et al 2017). There is a growing literature of climate change research using the SWAT model, and some studies have looked at conservation effectiveness under changing climates (Bosch et al 2014;Woznicki and Nejadhashemi 2014).…”

Section: Best Management Practices At the Watershed Scalementioning

confidence: 99%

Assessment of beyond-the-field nutrient management practices for agricultural crop systems with subsurface drainage

Kalcic¹,

Crumpton²,

Liu³

et al. 2018

Journal of Soil and Water Conservation

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This paper reviews the characteristics, benefits, and drawbacks of agricultural ditches and wetlands, as well as strategies for applying agricultural best management practices (BMPs) at the watershed scale for improving water quality. This synthesis focuses on the Great Lakes Region and the Mississippi River Basin in the United States, and specifically crop production systems in watersheds with subsurface drainage. The USDA Natural Resources Conservation Service (NRCS) has developed conservation practice standards for open channels and wetlands, which mitigate nutrient and sediment loading to surface water bodies from agricultural lands. Practices that use agricultural ditches to improve water quality, such as the two-stage ditch, have emerged in the last two decades and are starting to see a greater application in the region. Using wetlands as water treatment systems has a long history in a range of settings and over the past several decades is seeing more widespread application in agriculture. Water quality and watershed models are increasingly used to develop watershed strategies for reducing nutrient exports with agricultural BMPs. Models are also helpful in evaluating combinations of practices from the farm scale to the watershed scale. Application and limitations of several models commonly used in these regions of the United States are discussed. Finally, successful conservation strategies at the watershed scale must consider the human dimensions of watershed management, and we summarize the literature in this region on farmer perceptions and adoption of practices.

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“…The model was developed to predict the impact of land management practices on water, sediment, and agricultural chemicals in complex watersheds with varying soils, land uses and management conditions [37][38][39] and further for the TMDL development [19,[40][41].…”

Section: Swat2005 Modelmentioning

confidence: 99%

SWAT Model Prediction of Phosphorus Loading in a South Carolina Karst Watershed with a Downstream Embayment

Amatya¹,

Jha²,

Williams³

et al. 2013

JEP

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The SWAT model was used to predict total phosphorus (TP) loadings for a 1555-ha karst watershed-Chapel Branch Creek (CBC)-which drains to a lake via a reservoir-like embayment (R-E). The model was first tested for monthly streamflow predictions from tributaries draining three potential source areas as well as the downstream R-E, followed by TP loadings using data collected March 2007-October 2009. Source areas included 1) a golf course that received applied wastewater, 2) urban areas, highway, and some agricultural lands, and 3) a cave spring draining a second golf course along with agricultural and forested areas, including a substantial contribution of subsurface water via karst connectivity. SWAT predictions of mean monthly TP loadings at the first two source outlets were deemed reasonable. However, the predictions at the cave spring outlet were somewhat poorer, likely due to diffuse variable groundwater flow from an unknown drainage area larger than the actual surface watershed, for which monthly subsurface flow was represented as a point source during simulations. Further testing of the SWAT model to predict monthly TP loadings at the R-E, modeled as a completely mixed system, resulted in their over-predictions most of the months, except when high lake water levels occurred. The mean monthly and annual flows were calibrated to acceptable limits with the exception of flow over-prediction when lake levels were low and surface water from tributaries disappeared into karst connections. The discrepancy in TP load predictions was attributed primarily to the use of limited monthly TP data collected during baseflow in the embayment. However, for the 22-month period, over-prediction of mean monthly TP load (34.6 kg/mo) by 13% compared to measured load (30.6 kg/mo) in the embayment was deemed acceptable. Simulated results showed a 42% reduction in TP load due to settling in the embayment.

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Assessment of Total Maximum Daily Load Implementation Strategies for Nitrate Impairment of the Raccoon River, Iowa

Cited by 74 publications

References 23 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

Assessment of beyond-the-field nutrient management practices for agricultural crop systems with subsurface drainage

SWAT Model Prediction of Phosphorus Loading in a South Carolina Karst Watershed with a Downstream Embayment

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