Watershed-Scale Hydrologic and Nonpoint-Source Pollution Models: Review of Applications

Borah, Deva K.; Bera, Maitreyee

doi:10.13031/2013.16110

Cited by 302 publications

(37 citation statements)

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“…Water balance components of the watershed are affected by climate and the change in geophysical appearances due to human impact [2][3][4][5][6][7]. To examine the complex processes and the relationship between the hydrological processes and physical parameters, hydrological models help estimate the consequences of environmental and management changes on the water resources [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Climate Forecast System Reanalysis Weather Data for Watershed Modeling in Upper Awash Basin, Ethiopia

Tolera

Chung

Chang

2018

Water

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Availability of reliable meteorological data for watershed modeling is one of the considerable challenges in the Awash River Basin in Ethiopia. To overcome this challenge, the Climate Forecast System Reanalysis (CFSR) global weather data was evaluated and compared with the limited conventional weather data available in the Upper Awash Basin. The main objective of this study was to search for an optional data source for hydrological modeling, instead of using the limited available data, and for data-scarce areas of the basin. The Soil and Water Assessment Tool model was used to compare the performance of the two weather datasets at simulating monthly streamflow. For calibration, validation, and uncertainty analysis, the sequential uncertainty fitting algorithm was used. The model evaluation statistics showed that the CFSR global weather data performed similarly to the conventional weather data for simulating the observed streamflow at Melka Kunture. At Keleta, where the conventional data is scarce, the CFSR performed better. The CFSR performance at the two sub-basins indicated that it performed better for the large sub-basin, Melka Kunture. Generally, the CFSR weather data are a good addition to the dataset for areas where no reliable weather data exists for hydrological modeling in the basin. The precipitation data of the CFSR are slightly higher than that of the conventional data, which also resulted in a relatively higher water balance components.

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Section: Introductionmentioning

confidence: 99%

Evaluation of the Climate Forecast System Reanalysis Weather Data for Watershed Modeling in Upper Awash Basin, Ethiopia

Tolera

Chung

Chang

2018

Water

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“…The HSPF model was used for predicting flows of a watershed that joins modeling of watersheds and streams [39][40][41]. In addition, the HSPF model can be used to incorporate the transport of pollutants and nutrients.…”

Section: Hspf Model Descriptionmentioning

confidence: 99%

Net Ecosystem Production of a River Relying on Hydrology, Hydrodynamics and Water Quality Monitoring Stations

Rojano

Huber

Ugwuanyi

et al. 2020

Water

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Flow and water quality of rivers are highly dynamic. Water quantity and quality are subjected to simultaneous physical, chemical and biological processes making it difficult to accurately assess lotic ecosystems. Our study investigated net ecosystem production (NEP) relying on high-frequency data of hydrology, hydrodynamics and water quality. The Kanawha River, West Virginia was investigated along 52.8 km to estimate NEP. Water quality data were collected along the river using three distributed multiprobe sondes that measured water temperature, dissolved oxygen, dissolved oxygen saturation, specific conductance, turbidity and ORP hourly for 71 days. Flows along the river were predicted by means of the hydrologic and hydrodynamic models in Hydrologic Simulation Program in Fortran (HSPF). It was found that urban local inflows were correlated with NEP. However, under hypoxic conditions, local inflows were correlated with specific conductance. Thus, our approach represents an effort for the systematic integration of data derived from models and field measurements with the aim of providing an improved assessment of lotic ecosystems.

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“…This monitoring dataset was collected from streams in two watersheds within The Dalles region of Oregon, the details of which are provided in the accompanying supplemental material. The SWAT model has been identified from a pool of 36 models as one of the most appropriate for watershedscale simulation of pesticides (Quilbe et al, 2006), has been used globally for watershed management and assessing agrochemical fate and transport (Borah and Bera, 2004;Gassman et al, 2007;Parker et al, 2007;Payraudeau and Gregoire, 2012;Arnold et al, 2012b;Mottes et al, 2014;Boithias et al, 2014), and was recently used in higher tier pesticide ecological exposure risk assessments (Whitfied Aslund et al, 2017). An evaluation of its performance in simulating drift-driven pesticide concentrations is of current interest.…”

Section: Evaluation Of Watershed-scale Simulations Of In-stream Pestimentioning

confidence: 99%

“…The USEPA recently incorporated SWAT into the hydrologic and water quality system, a national-scale modeling system (Yen et al, 2016). User manuals for SWAT (Neitsch et al, 2011;Arnold et al, 2012a) offer a detailed description of the model, and its broad range of applicability has been discussed in other works (Borah and Bera, 2004;Gassman et al, 2007;Arnold et al, 2012b). The landscape pesticide processes in SWAT are based on the Groundwater Loading Effects of Agricultural Management Systems (GLEAMS) model (Leonard et al, 1987), whereas the in-channel pesticide processes were adopted from Chapra (1997).…”

Section: Model Descriptionmentioning

confidence: 99%

Evaluation of Watershed‐Scale Simulations of In‐Stream Pesticide Concentrations from Off‐Target Spray Drift

Winchell¹,

Pai²,

Brayden³

et al. 2018

J of Env Quality

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The estimation of pesticide concentrations in surface water bodies is a critical component of the environmental risk assessment process required by regulatory agencies in North America, the European Union, and elsewhere. Pesticide transport to surface waters via deposition from off-field spray drift can be an important route of potential contamination. The spatial orientation of treated fields relative to receiving water bodies make prediction of off-target pesticide spray drift deposition and resulting aquatic estimated environmental concentrations (EECs) challenging at the watershed scale. The variability in wind conditions further complicates the simulation of the environmental processes leading to pesticide spray drift contributions to surface water. This study investigates the use of the Soil Water Assessment Tool (SWAT) for predicting concentrations of malathion (O,O-deimethyl thiophosphate of diethyl mercaptosuccinate) in a flowing water body when exposure is a result of off-target spray drift, and assesses the model's performance using a parameterization typical of a screening-level regulatory assessment. Six SWAT parameterizations, each including incrementally more sitespecific data, are then evaluated to quantify changes in model performance. Results indicate that the SWAT model is an appropriate tool for simulating watershed scale concentrations of pesticides resulting from off-target spray drift deposition. The model predictions are significantly more accurate when the inputs and assumptions accurately reflect application practices and environmental conditions. Inclusion of detailed wind data had the most significant impact on improving model-predicted EECs in comparison to observed concentrations.

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Watershed-Scale Hydrologic and Nonpoint-Source Pollution Models: Review of Applications

Cited by 302 publications

References 0 publications

Evaluation of the Climate Forecast System Reanalysis Weather Data for Watershed Modeling in Upper Awash Basin, Ethiopia

Evaluation of the Climate Forecast System Reanalysis Weather Data for Watershed Modeling in Upper Awash Basin, Ethiopia

Net Ecosystem Production of a River Relying on Hydrology, Hydrodynamics and Water Quality Monitoring Stations

Evaluation of Watershed‐Scale Simulations of In‐Stream Pesticide Concentrations from Off‐Target Spray Drift

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