Assessment of conservation practices in the Fort Cobb Reservoir watershed, southwestern Oklahoma

Becker, Carol J.

doi:10.3133/sir20105257

Cited by 10 publications

(25 citation statements)

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“…Nearly half of the soils in the study region are predominantly silty, with lesser hydraulic conductivities. Field reconnaissance of the watershed revealed that a few of the older solid-set or side-roll irrigation systems are still used in the watershed, but that most irrigation systems have been upgraded to center-pivot systems from the Rush Springs aquifer [30]. Population in south-western Oklahoma, in which the study sub-watersheds are located, is sparse and decreasing.…”

Section: Study Areamentioning

confidence: 99%

Projected Climate Could Increase Water Yield and Cotton Yield but Decrease Winter Wheat and Sorghum Yield in an Agricultural Watershed in Oklahoma

Gharibdousti

Kharel

Miller

et al. 2019

Water

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Climate change impacts on agricultural watersheds are highly variable and uncertain across regions. This study estimated the potential impacts of the projected precipitation and temperature based on the downscaled Coupled Model Intercomparison Project 5 (CMIP-5) on hydrology and crop yield of a rural watershed in Oklahoma, USA. The Soil and Water Assessment Tool was used to model the watershed with 43 sub-basins and 15,217 combinations of land use, land cover, soil, and slope. The model was driven by the observed climate in the watershed and was first calibrated and validated against the monthly observed streamflow. Three statistical matrices, coefficient of determination (R 2 ), Nash-Sutcliffe efficiency (NSE), and percentage bias (PB), were used to gauge the model performance with satisfactory values of R 2 = 0.64, NS = 0.61, and PB = +5% in the calibration period, and R 2 = 0.79, NSE = 0.62, and PB = −15% in the validation period for streamflow. The model parameterization for the yields of cotton (PB = −4.5%), grain sorghum (PB = −27.3%), and winter wheat (PB = −6.0%) resulted in an acceptable model performance. The CMIP-5 ensemble of three General Circulation Models under three Representative Concentration Pathways for the 2016-2040 period indicated an increase in both precipitation (+1.5%) and temperature (+1.8 • C) in the study area. This changed climate resulted in decreased evapotranspiration (−3.7%), increased water yield (23.9%), decreased wheat yield (−5.2%), decreased grain sorghum yield (−9.9%), and increased cotton yield (+54.2%) compared to the historical climate. The projected increase in water yield might provide opportunities for groundwater recharge and additional water to meet future water demand in the region. The projected decrease in winter wheat yield-the major crop in the state-due to climate change, may require attention for ways to mitigate these effects.

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Section: Study Areamentioning

confidence: 99%

Projected Climate Could Increase Water Yield and Cotton Yield but Decrease Winter Wheat and Sorghum Yield in an Agricultural Watershed in Oklahoma

Gharibdousti

Kharel

Miller

et al. 2019

Water

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“…Water quality variables measured by the USGS Water Science Center, Oklahoma, at the USGS gauging sites ID 7325800, ID 7325850, and ID 7325860 include stream temperature, specific conductance, dissolved O 2 , pH, alkalinity, NH 3 , NO 3 -N, NO 2 -N + NO 3 -N, Kjeldahl N, orthophosphate (all filtered), total P (unfiltered), and suspended sediment concentration with sand/fine splits (Becker et al, 2011). However, only total N, total P, and suspended sediments were used in this study to develop stream-flow discharge and transport concentration relationships.…”

Section: Watershed Descriptionmentioning

confidence: 99%

“…However, only total N, total P, and suspended sediments were used in this study to develop stream-flow discharge and transport concentration relationships. The gauging sites ID 7325800, ID 7325850, and ID 7325860 are located in the CCSW, LCSW, and WCSW, respectively (Becker et al, 2011; USGS data; Fig. 1).…”

Section: Watershed Descriptionmentioning

confidence: 99%

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Seasonal Sediment and Nutrient Transport Patterns

et al. 2014

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It is essential to understand sediment and nutrient sources and their spatial and temporal patterns to design effective mitigation strategies. However, long-term data sets to determine sediment and nutrient loadings are scarce and expensive to collect. The goal of this study was to determine seasonal patterns of suspended sediment (SS), total N (TN), and total P (TP) concentrations and loadings for three USGS gauge sites located at the Fort Cobb Reservoir Experimental watershed (FCREW) located in southwestern Oklahoma. Measured instantaneous discharge, SS, TN, and TP concentration data were used to develop lognormal water quality-discharge relationships. The water quality-discharge relationships were used to generate estimated seasonal concentrations and loads based on hourly or 30-min interval discharge. The estimated concentrations and loads were used to determine seasonal patterns for SS, TN, and TP relative to the respective state water quality criteria. Decreasing and increasing monotonic trends were observed for the seasonal time series loads for all three sites, but they were insignificant based on the Spearman test (α = 0.05). The largest loads were estimated during the wet springs and summers. The study SS, TN, and TP target concentrations were exceeded in one season or another. The study results showed that the priority locations to implement the TN and TP conservation practices were the Lake Creek and Willow Creek subwatersheds during the winter and spring seasons. Common practices to mitigate nutrients and suspended sediments include nutrient management, no-till, conversion of cultivated land to pasture, riparian buffers, and animal exclusion.

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“…Generally, sandy-textured soils are found in the central and eastern parts of the watershed, and silty loams are found in the western part and about 20% of the watershed is overlain by highly erosive soils [33]. The watershed is predominately agricultural, with cropland and grazing land accounting for 56% and 34% of the watershed area, respectively, while roads and urban areas account for 5% of the watershed and water less than 2% [34]. Numerous upland and riparian conservation practices (reduced or no-till cropland, conversion of cropland to pastureland, terracing, riparian buffers, cattle exclusion from streams, etc.)…”

Section: Watershed Descriptionmentioning

confidence: 99%

Watershed Variability in Streambank Erodibility and Implications for Erosion Prediction

Enlow

Fox

Guertault

2017

Water

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Abstract:Two fluvial erosion models are commonly used to simulate the erosion rate of cohesive soils: the empirical excess shear stress model and the mechanistic Wilson model. Both models include two soil parameters, the critical shear stress (τ c ) and the erodibility coefficient (k d ) for the excess shear stress model and b 0 and b 1 for the Wilson model. Jet erosion tests (JETs) allow for in-situ determination of these parameters. JETs were completed at numerous sites along two streams in each the Illinois River and Fort Cobb Reservoir watersheds. The objectives were to use JET results from these streambank tests to investigate variability of erodibility parameters on the watershed scale and investigate longitudinal trends in streambank erodibility. The research also determined the impact of this variability on lateral retreat predicted by a process-based model using both the excess shear stress model and the Wilson model. Parameters derived from JETs were incorporated into a one-dimensional process-based model to simulate bank retreat for one stream in each watershed. Erodibility parameters varied by two to five and one to two orders of magnitude in the Illinois River watershed and Fort Cobb Reservoir watershed, respectively. Less variation was observed in predicted retreat by a process-based model compared to the input erodibility parameters. Uncalibrated erodibility parameters and simplified applied shear stress estimates failed to match observed lateral retreats suggesting the need for model calibration and/or advanced flow modeling.

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Assessment of conservation practices in the Fort Cobb Reservoir watershed, southwestern Oklahoma

Cited by 10 publications

References 0 publications

Projected Climate Could Increase Water Yield and Cotton Yield but Decrease Winter Wheat and Sorghum Yield in an Agricultural Watershed in Oklahoma

Projected Climate Could Increase Water Yield and Cotton Yield but Decrease Winter Wheat and Sorghum Yield in an Agricultural Watershed in Oklahoma

Seasonal Sediment and Nutrient Transport Patterns

Watershed Variability in Streambank Erodibility and Implications for Erosion Prediction

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