scholarly journals Modeling the impacts of agricultural best management practices on runoff, sediment, and crop yield in an agriculture-pasture intensive watershed

2018 ◽  
Author(s):  
Solmaz Rasoulzadeh Gharibdousti ◽  
Gehendra Kharel ◽  
Arthur Stoecker
Keyword(s):  
Crop Yield ◽  
Best Management Practices ◽  
Sediment Yield ◽  
Surface Runoff ◽  
Management Practices ◽  
Conservation Tillage ◽  
Model Performance ◽  
Grain Sorghum ◽  
Best Management ◽  
No Till

Best management practices (BMPs) are commonly used to control sediment yields. In this study, we modeled the Fort Cobb Reservoir watershed located in southwestern Oklahoma, USA using the Soil and Water Assessment Tool (SWAT) and evaluated the impacts of agricultural five different BMP scenarios on surface runoff, sediment load, and crop yield. The hydrological model with 43 sub-basins and 15,217 hydrological response units was calibrated (1991 ̶ 2000) and validated (2001 ̶ 2010) against the monthly observations of streamflow, sediment grab samples, and crop-yields. The coefficient of determination (R2), Nash-Sutcliffe efficiency (NS) and percentage bias (PB) were used to determine model performance with satisfactory values of R2 (0.64) and NS (0.61) in the calibration period and a good model performance (R2 = 0.79; NS = 0.62) in the validation period for streamflow. We found that contouring practice reduced surface runoff by more than 18% in both conservation tillage and no-till practices for all crops. In addition, contour farming with either conservation tillage or no-till practice reduced sediment yield by almost half. Compared to the conservation tillage practice, no-till system decreased sediment yield by 25.3% and 9.0% for cotton and grain sorghum, respectively. Using wheat as cover crop for grain sorghum generated the lowest runoff followed by its rotation with canola and cotton regardless of contouring. Converting all the crops in the watershed into Bermuda grass resulted significant reduction in sediment yield (72.5-96.3%) and surface runoff (6.8-38.5%). The model was capable of providing precise information for stakeholders to prioritize ecologically sound feasible BMPs at fields that are capable of reducing overland soil erosion and sediment delivery to channels while increasing crop yield.

scholarly journals Modeling the impacts of agricultural best management practices on runoff, sediment, and crop yield in an agriculture-pasture intensive watershed

2018 ◽  
Author(s):  
Solmaz Rasoulzadeh Gharibdousti ◽  
Gehendra Kharel ◽  
Arthur Stoecker
Keyword(s):  
Crop Yield ◽  
Best Management Practices ◽  
Sediment Yield ◽  
Surface Runoff ◽  
Management Practices ◽  
Conservation Tillage ◽  
Model Performance ◽  
Grain Sorghum ◽  
Best Management ◽  
No Till

Best management practices (BMPs) are commonly used to control sediment yields. In this study, we modeled the Fort Cobb Reservoir watershed located in southwestern Oklahoma, USA using the Soil and Water Assessment Tool (SWAT) and evaluated the impacts of agricultural five different BMP scenarios on surface runoff, sediment load, and crop yield. The hydrological model with 43 sub-basins and 15,217 hydrological response units was calibrated (1991 ̶ 2000) and validated (2001 ̶ 2010) against the monthly observations of streamflow, sediment grab samples, and crop-yields. The coefficient of determination (R2), Nash-Sutcliffe efficiency (NS) and percentage bias (PB) were used to determine model performance with satisfactory values of R2 (0.64) and NS (0.61) in the calibration period and a good model performance (R2 = 0.79; NS = 0.62) in the validation period for streamflow. We found that contouring practice reduced surface runoff by more than 18% in both conservation tillage and no-till practices for all crops. In addition, contour farming with either conservation tillage or no-till practice reduced sediment yield by almost half. Compared to the conservation tillage practice, no-till system decreased sediment yield by 25.3% and 9.0% for cotton and grain sorghum, respectively. Using wheat as cover crop for grain sorghum generated the lowest runoff followed by its rotation with canola and cotton regardless of contouring. Converting all the crops in the watershed into Bermuda grass resulted significant reduction in sediment yield (72.5-96.3%) and surface runoff (6.8-38.5%). The model was capable of providing precise information for stakeholders to prioritize ecologically sound feasible BMPs at fields that are capable of reducing overland soil erosion and sediment delivery to channels while increasing crop yield.

scholarly journals Modeling the impacts of agricultural best management practices on runoff, sediment, and crop yield in an agriculture-pasture intensive watershed

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e7093
Author(s):  
Solmaz Rasoulzadeh Gharibdousti ◽  
Gehendra Kharel ◽  
Arthur Stoecker
Keyword(s):  
Crop Yield ◽  
Best Management Practices ◽  
Sediment Yield ◽  
Surface Runoff ◽  
Management Practices ◽  
Conservation Tillage ◽  
Grain Sorghum ◽  
Best Management ◽  
No Till ◽  
Runoff Sediment

Best management practices (BMPs) are commonly used to reduce sediment loadings. In this study, we modeled the Fort Cobb Reservoir watershed located in southwestern Oklahoma, USA using the Soil and Water Assessment Tool (SWAT) and evaluated the impacts of five agricultural BMP scenarios on surface runoff, sediment yield, and crop yield. The hydrological model, with 43 sub-basins and 15,217 hydrological response units, was calibrated (1991–2000) and validated (2001–2010) against the monthly observations of streamflow, sediment grab samples, and crop-yields. The coefficient of determination (R2), Nash-Sutcliffe efficiency (NS) and percentage bias (PB) were used to determine model performance with satisfactory values of R2 (0.64 and 0.79) and NS (0.61 and 0.62) in the calibration and validation period respectively for streamflow. We found that contouring practice reduced surface runoff by more than 18% in both conservation tillage and no-till practices for all crops used in this modeling study. In addition, contour farming with either conservation tillage or no-till practice reduced sediment yield by almost half. Compared to the conservation tillage practice, no-till practice decreased sediment yield by 25.3% and 9.0% for cotton and grain sorghum, respectively. Using wheat as cover crop for grain sorghum generated the lowest runoff followed by its rotation with canola and cotton regardless of contouring. Converting all the crops in the watershed into Bermuda grass resulted in significant reduction in sediment yield (72.5–96.3%) and surface runoff (6.8–38.5%). The model can be used to provide useful information for stakeholders to prioritize ecologically sound and feasible BMPs at fields that are capable of reducing sediment yield while increasing crop yield.

scholarly journals Evaluation of the surface erosion from different timber yarding methods in Honduras

2010 ◽  
Vol 34 (4) ◽  
pp. 577-586
Author(s):  
Samuel Rivera ◽  
Jeffrey L Kershner ◽  
James P Dobrowolski
Keyword(s):  
Best Management Practices ◽  
Sediment Yield ◽  
Surface Runoff ◽  
Management Practices ◽  
Surface Erosion ◽  
Best Management ◽  
Treated Area ◽  
Sediment Production ◽  
Undisturbed Forest ◽  
Experimental Plots

Surface runoff and sediment production from different timber yarding practices, some using Best Management Practices (BMPs) recommended for Honduras, were monitored in experimental plots during the rainy seasons of two consecutive years in pine forest highlands of central Honduras. Different timber yarding systems were applied to pseudo-replicated plots during the rainy seasons of 1999 and 2000. In 1999, two treatments were studied: tractor yarding and skyline cable (a recommended BMP). In 2000, four treatments were evaluated: tractor skidding, skyline cable, animal skidding (another recommended BMP), and undisturbed forest (reference). During the rainy seasons of these years, surface runoff volumes and sediment yield were measured at five 1.5m x 10m erosion plots in each treated area. The results showed significant differences between traditional tractor yarding and the recommended skyline cable and animal skidding methods. Tractor yarding produced six to ten times more erosion during the rainy seasons than cable and animal yarding. The improved soil retention of cable and animal yarding was especially important during September when the highest rainfall occurred in this climate.

Best management practices (BMPs) site selection for reducing urban surface runoff at target locations

2017 ◽  
Vol 94 ◽  
pp. 109-119
Author(s):  
Mohammad Hossein Rashidi Mehrabadi ◽  
Bahram Saghafian ◽  
Mohammad Reza Bazargan-Lari
Keyword(s):  
Best Management Practices ◽  
Site Selection ◽  
Surface Runoff ◽  
Management Practices ◽  
Urban Surface ◽  
Best Management ◽  
Selection For ◽  
Target Locations

scholarly journals Management Considerations for Wheat Production in Florida

EDIS ◽  
2013 ◽  
Vol 2013 (10) ◽  
Author(s):  
David L. Wright ◽  
Ann R. Blount ◽  
Ron D. Barnett ◽  
Cheryl L. Mackowiak ◽  
Nicholas Dufault ◽  
...  
Keyword(s):  
United States ◽  
Coastal Plain ◽  
Best Management Practices ◽  
Management Practices ◽  
Southeastern United States ◽  
Grain Sorghum ◽  
Best Management ◽  
Small Grains ◽  
Production Practices ◽  
High Yields

Higher wheat prices created the impetus for growing wheat in the southeastern United States. Since increasing amounts of corn have been diverted to ethanol production, there is a shortage of grain for America’s livestock industry. This shortage results in higher wheat and soybean prices. Wheat and soybean have been grown together as a double crop throughout the Southeast for many years, which generally increases profitability compared with growing only one of the crops. Planting wheat followed by cotton, peanut or grain sorghum has also become a common practice. The best management practices for high yields of wheat in the Southeast Coastal Plain are well established. This 3-page fact sheet lists production practices for small grains in Florida. Written by D.L. Wright, A.R. Blount, R.D. Barnett, C.L. Mackowiak, N. Dufault, and J. Marois, and published by the UF Department of Agronomy, October 2013. http://edis.ifas.ufl.edu/ag293

scholarly journals Multiobjective optimisation and cluster analysis in placement of best management practices in an urban flooding scenario

2021 ◽  
Author(s):  
Rohit Dwivedula ◽  
R. Madhuri ◽  
K. Srinivasa Raju ◽  
A. Vasan
Keyword(s):  
Best Management Practices ◽  
Surface Runoff ◽  
Management Practices ◽  
Extreme Rainfall ◽  
Extreme Rainfall Event ◽  
Urban Flooding ◽  
Multiobjective Optimisation ◽  
Urban Floods ◽  
Best Management ◽  
Runoff Reduction

Abstract Urban floods cause massive damage to infrastructure and loss of life. This research is being carried out to study how Best Management Practices (BMPs) can mitigate the negative effects of urban floods during extreme rainfall events. Strategically placing BMPs throughout open areas and rooftops in urban areas serves multiple purposes of storage of rainwater, removal of pollutants from surface runoff and sustainable utilisation of land. This situation is framed as a multiobjective optimisation problem to analyse the trade-offs between multiple goals of runoff reduction, construction cost and pollutant load reduction. Output includes a wide range of choices to choose from for decision makers. Proposed methodology is demonstrated with a case study of Greater Hyderabad Municipal Corporation (GHMC), India. Historical extreme rainfall event of 237.5 mm which occurred in year 2016 and extreme rainfall event of 1,740.62 mm corresponding to Representative Concentration Pathway (RCP) 2.6 were considered for analysis. Two multiobjective optimisation algorithms, namely, Non-dominated Sorting Genetic Algorithm – III (NSGA-III) and Constrained Two-Archive Evolutionary Algorithm (C-TAEA) are employed to solve the BMP placement problem, following which the resulting pareto-fronts are ensembled. K-Medoids-based cluster analysis is performed on the resulting ensembled pareto-front. The proposed ensembled approach identified ten possible BMP configurations with costs ranging from Rs. to surface runoff reduction ranging from to and pollutant load removal ranging from tonnes. Use of BMPs in future event has the potential to reduce surface runoff from , while simultaneously removing tonnes of pollutants for cost ranging from The proposed framework forms an effective and novel way to characterise and solve BMP optimisation problems in context of climate change, presenting a view of the urban flooding scenario today, and the likely course of events in the future.

scholarly journals Efficiency and Equity Aspects of Nonpoint Source Pollution Controls

1982 ◽  
Vol 14 (2) ◽  
pp. 123-129 ◽  
Author(s):  
Stan R. Spurlock ◽  
Ivery D. Clifton
Keyword(s):  
Water Quality ◽  
Best Management Practices ◽  
Pollution Control ◽  
Management Practices ◽  
Conservation Tillage ◽  
Cropping Systems ◽  
Pollution Abatement ◽  
Optimal Level ◽  
Best Management ◽  
Federal Water Pollution Control

Achieving water quality goals will necessitate adoption of best management practices (BMP's) by some or all farmers. Water quality is expected to improve as farmers adopt BMP's such as conservation cropping systems, structural measures, and conservation tillage methods. Currently, there is an absence of pollution abatement incentives strong enough to induce farmers to abate sediment, nutrients, and pesticides to desirable social levels. Although a specific socially optimal level of pollutants may be difficult (or impossible) to quantify, the U.S. Congress, by passing the Federal Water Pollution Control Act Amendments of 1972 (P. L. 92-500), has demonstrated the need for improvements in water quality.

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