Simulating hydrological and nonpoint source pollution processes in a karst watershed: A variable source area hydrology model evaluation

Amin, M. G. Mostofa; Veith, Tamie L.; Collick, Amy S.; Karsten, Heather D.; Buda, Anthony R.

doi:10.1016/j.agwat.2016.07.011

Cited by 64 publications

(42 citation statements)

References 41 publications

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“…TopoSWAT (Easton et al., 2008), a version of SWAT that incorporates topographic index as an input layer, was initialized over the resulting 29 subbasins using a 10‐m digital elevation model (DEM) resampled from 1‐m light detection and ranging (LiDAR) based data (PAMAP Program, 2006) and soils from the FAO‐United Nations Educational, Scientific and Cultural Organization (UNESCO) Digital Soil Map of the World (FAO‐UN Land and Water Division, 2007). TopoSWAT was used in this study on the basis of previous research in the northeastern United States that showed that TopoSWAT adequately captures the variable source hydrology of this region (Amin, Veith, Collick, Karsten, & Buda, 2017, 2018; Collick et al., 2014, 2016; Liu et al., 2017).…”

Section: Methodsmentioning

confidence: 99%

Headwater stream condition and nutrient runoff: Relating SWAT to empirical ecological measures in an agricultural watershed in Pennsylvania

et al. 2020

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Managing nonpoint sources of nutrients and sediments is the primary challenge for improving conditions in the Susquehanna-Chesapeake basin. Aquatic macroinvertebrates are widely used indicators of stream ecological integrity, but the relationship between nutrient runoff and macroinvertebrate response remains indistinct. Logistical and financial hurdles hinder collection of high-resolution empirical nutrient data, but landscape-based models like the Soil and Water Assessment Tool (SWAT) offer a more practical approach. Nutrient runoff was simulated with SWAT for a small, upland, agricultural Pennsylvania watershed. Three levels of ecological assessment were used to interpret SWAT results. Macroinvertebrate communities (intensive) were sampled at 14 sites and described using an Index of Biotic Integrity (IBI). Biological integrity was moderately degraded in many reaches. The Stream-Wetland-Riparian (SWR) Index (rapid) and landscape metrics (remote) also indicated prevalent agricultural stressors. Baseflow nitrate grab samples, collected once per season, showed no significant relationship with IBI score. Thirty spatiotemporal scales of nutrient data were extracted from SWAT for phosphorus, nitrate, and organic nitrogen. Best subsets regression was performed on IBI scores using SWAT, land cover, and SWR variables.Results were significant (p < .001) with high R 2 values (84.8 and 86.2), signifying a negative relationship between instream nutrient concentration and IBI score. This study demonstrates the viability of SWAT as an alternative to in-field nutrient sampling, the value of spatiotemporal scale in model outputs, and the importance of site condition variables in relating nutrients to stream ecological health.

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Section: Methodsmentioning

confidence: 99%

Headwater stream condition and nutrient runoff: Relating SWAT to empirical ecological measures in an agricultural watershed in Pennsylvania

et al. 2020

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“…Specifically, we delineated watershed boundary and drainage network based on a 10‐m digital elevation model (DEM) and created six subbasins by specifying subbasin outlets at the locations of the monitoring stream flumes. When creating HRUs, we overlaid a TI layer with the FAO‐UNESCO (United Nations Educational, Scientific and Cultural Organization) Digital Soil Map of the World layer (FAO, 2007) instead of conventional SWAT slope classes and soil layers (Collick et al, 2015; Amin et al, 2017). …”

Section: Methodsmentioning

confidence: 99%

Seasonal Manure Application Timing and Storage Effects on Field‐ and Watershed‐Level Phosphorus Losses

et al. 2017

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Timing of manure application to agricultural soils remains a contentious topic in nutrient management planning, particularly with regard to impacts on nutrient loss in runoff and downstream water quality. We evaluated the effects of seasonal manure application and associated manure storage capacity on phosphorus (P) losses at both field and watershed scales over an 11-yr period, using long-term observed data and an upgraded, variable-source water quality model called Topo-SWAT. At the field level, despite variation in location and crop management, manure applications throughout fall and winter increased annual total P losses by 12 to 16% and dissolved P by 19 to 40% as compared with spring. Among all field-level scenarios, total P loss was substantially reduced through better site targeting (by 48-64%), improving winter soil cover (by 25-46%), and reducing manure application rates (by 1-23%). At the watershed level, a scenario simulating 12 mo of manure storage (all watershed manure applied in spring) reduced dissolved P loss by 5% and total P loss by 2% but resulted in greater P concentrations peaks compared with scenarios simulating 6 mo (fall-spring application) or 3 mo storage (four-season application). Watershed-level impacts are complicated by aggregate effects, both spatial and temporal, of manure storage capacity on variables such as manure application rate and timing, and complexities of field and management. This comparison of the consequences of different manure storage capacities demonstrated a tradeoff between reducing annual P loss through a few high-concentration runoff events and increasing the frequency of low peaks but also increasing the annual loss.

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“…(3) in the SWAT model, was run with the determined data and the data from the Environmental Protection Bureau of Xiangtan, and the Nash Sutcliffe efficiency coefficient (E ns ) and regression coefficient (R 2 ) can be calculated with the following formulas [26][27]…”

Section: Determining δ and Kmentioning

confidence: 99%

An Improved SWAT for Predicting Manganese Pollution Load at the Soil-Water Interface in a Manganese Mine Area

Zhang¹,

Ren²,

Hursthouse³

et al. 2018

Pol. J. Environ. Stud.

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Predicting pollution load at the soil-water interface is key to controlling runoff pollution in disturbed mining sites [1]. With the large-scale exploitation and smelting of ore, the solid resource and its waste (ore, waste ore, tailing sand, waste residue, etc.) result in the formation of heavy metal pollution flow in the soil-water interface under the effect of rainfall runoff [2-4]. In the long term, it could cause an increasingly prominent problem of heavy metal complex pollution in the manganese mine and the surrounding area [5]. This is particularly true for mining sites in the Hunan region of China, where largescale exploitation of metal manganese has generated large areas of degraded land. The soil and water assessment tool (SWAT) model developed by the U.S. Department of Agriculture in 1994 is a continuous distributed watershed environment model based on GIS software [6-7]. It has been widely applied to evaluate agricultural non-point source pollution [8-9]. The SWAT model includes two main parts: land surface process and water surface/confluence process. The former considers 8 modules of hydrology, meteorology, silt, soil temperature, crop growth, nutrient, pesticide, and agricultural management for system contribution; the later completes hydrological circulation and material migration of the basin through

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Simulating hydrological and nonpoint source pollution processes in a karst watershed: A variable source area hydrology model evaluation

Cited by 64 publications

References 41 publications

Headwater stream condition and nutrient runoff: Relating SWAT to empirical ecological measures in an agricultural watershed in Pennsylvania

Headwater stream condition and nutrient runoff: Relating SWAT to empirical ecological measures in an agricultural watershed in Pennsylvania

Seasonal Manure Application Timing and Storage Effects on Field‐ and Watershed‐Level Phosphorus Losses

An Improved SWAT for Predicting Manganese Pollution Load at the Soil-Water Interface in a Manganese Mine Area

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