Christopher L. Shope
United States Geological Survey
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Featured researches published by Christopher L. Shope.
Water Resources Research | 2014
Matthew P. Miller; David D. Susong; Christopher L. Shope; Victor M. Heilweil; Bernard J. Stolp
Effective science-based management of water resources in large basins requires a qualitative understanding of hydrologic conditions and quantitative measures of the various components of the water budget, including difficult to measure components such as baseflow discharge to streams. Using widely available discharge and continuously collected specific conductance (SC) data, we adapted and applied a long established chemical hydrograph separation approach to quantify daily and representative annual baseflow discharge at 14 streams and rivers at large spatial (> 1000 km2 watersheds) and temporal (up to 37 years) scales in the Upper Colorado River Basin. On average, annual baseflow was 21–58% of annual stream discharge, 13–45% of discharge during snowmelt, and 40–86% of discharge during low-flow conditions. Results suggest that reservoirs may act to store baseflow discharged to the stream during snowmelt and release that baseflow during low-flow conditions, and that irrigation return flows may contribute to increases in fall baseflow in heavily irrigated watersheds. The chemical hydrograph separation approach, and associated conceptual model defined here provide a basis for the identification of land use, management, and climate effects on baseflow.
Environmental Earth Sciences | 2012
Mahtab Ahmad; Deok Hyun Moon; Kyoung Jae Lim; Christopher L. Shope; Sang Soo Lee; Adel R.A. Usman; Kwon-Rae Kim; Jeong-Hun Park; Seung-Oh Hur; Jae E. Yang; Yong Sik Ok
Military shooting range soils contaminated by heavy metals have been subjected to remediation efforts to alleviate the detrimental effects of exposure on humans and the surrounding environment. Waste materials can be used as cost-effective soil amendments to immobilize heavy metals in contaminated soils. In this study, naturally occurring lime-based waste materials including egg shells, oyster shells, and mussel shells were assessed for their effectiveness toward heavy metal immobilization in military shooting range soil in Korea. Soil was treated in batch leaching experiments with 0, 2.5, 5, 10, and 15% of each lime-based waste material. The results showed that the lime-based waste materials effectively reduced water-soluble Pb at an application rate of 2.5% by weight of the soil. Increase in soil pH from 6.6 to 8.0 was considered to be the main chemistry of Pb immobilization, which was supported by the formation of insoluble Pb species at high pH values as confirmed by the visual MINTEQ thermodynamic model. In contrary, water-soluble Cu was increased in the lime-based waste material-treated soils when compared to the untreated soil. This was likely attributed to the formation of soluble Cu–DOC (dissolved organic carbon) complexes as all lime-based waste materials applied increased DOC contents in the soil. Therefore, care must be taken in selecting the appropriate amendment for immobilizing metals in shooting range soils.
Transactions of the ASABE | 2013
Sebastian Arnhold; Marianne Ruidisch; Svenja Bartsch; Christopher L. Shope; Bernd Huwe
Abstract. Plastic-covered ridge-furrow cultivation (plastic mulch) can substantially influence runoff and soil erosion on agricultural land. However, the impact of this management practice in combination with complex farmland topography has not been thoroughly investigated. The goal of this study was to identify how topography influences runoff patterns and erosion rates of plastic mulch cultivation. We measured runoff and sediment transport on two mountainous fields in South Korea, one with a concave topography and one with a convex topography, during monsoonal rain events. We used the EROSION 3D model to compare flow and sediment transport between plastic mulch, uncovered ridges, and a smooth soil surface. We found the highest runoff and erosion rates from both of the fields with plastic mulch due to the impermeable surface. For the uncovered ridges, we identified 140% higher erosion compared to the smooth surface on the concave field, but 20% lower erosion on the convex field. The simulated sediment transport patterns showed that the ridge-furrow system concentrated overland flow on the concave field, resulting in high erosion rates. On the convex field, the ridge-furrow system prevented flow accumulation and erosion. Our results demonstrate that the effect of ridge-furrow systems on erosion is controlled primarily by the topography. These results have practical consequences for watershed conservation planning and the application of large-scale erosion models. Nevertheless, further research is needed to fully understand the impact of this management system on runoff and erosion on mountainous farmland.
Advances in Meteorology | 2015
Christopher L. Shope; Ganga Ram Maharjan
Characterization of precipitation is critical in quantifying distributed catchment-wide discharge. The gauge network is a key driver in hydrologic modeling to characterize discharge. The accuracy of precipitation is dependent on the location of stations, the density of the network, and the interpolation scheme. Our study examines 16 weather stations in a 64 km2 catchment. We develop a weighted, distributed approach for gap-filling the observed meteorological dataset. We analyze five interpolation methods (Thiessen, IDW, nearest neighbor, spline, and ordinary Kriging) at five gauge densities. We utilize precipitation in a SWAT model to estimate discharge in lumped parameter simulations and in a distributed approach at the multiple densities (1, 16, 50, 142, and 300 stations). Gauge density has a substantial impact on distributed discharge and the optimal gauge density is between 50 and 142 stations. Our results also indicate that the IDW interpolation scheme was optimum, although the Kriging and Thiessen polygon methods produced similar results. To further examine variability in discharge, we characterized the land use and soil distribution throughout each of the subbasins. The optimal rain gauge position and distribution of the gauges drastically influence catchment-wide runoff. We found that it is best to locate the gauges near less permeable locations.
Science of The Total Environment | 2015
Christopher L. Shope; Cory Angeroth
Effective management of surface waters requires a robust understanding of spatiotemporal constituent loadings from upstream sources and the uncertainty associated with these estimates. We compared the total dissolved solids loading into the Great Salt Lake (GSL) for water year 2013 with estimates of previously sampled periods in the early 1960s. We also provide updated results on GSL loading, quantitatively bounded by sampling uncertainties, which are useful for current and future management efforts. Our statistical loading results were more accurate than those from simple regression models. Our results indicate that TDS loading to the GSL in water year 2013 was 14.6 million metric tons with uncertainty ranging from 2.8 to 46.3 million metric tons, which varies greatly from previous regression estimates for water year 1964 of 2.7 million metric tons. Results also indicate that locations with increased sampling frequency are correlated with decreasing confidence intervals. Because time is incorporated into the LOADEST models, discrepancies are largely expected to be a function of temporally lagged salt storage delivery to the GSL associated with terrestrial and in-stream processes. By incorporating temporally variable estimates and statistically derived uncertainty of these estimates, we have provided quantifiable variability in the annual estimates of dissolved solids loading into the GSL. Further, our results support the need for increased monitoring of dissolved solids loading into saline lakes like the GSL by demonstrating the uncertainty associated with different levels of sampling frequency.
International Symposium on Erosion and Landscape Evolution (ISELE), 18-21 September 2011, Anchorage, Alaska | 2011
Sebastian Arnhold; Christopher L. Shope; Bernd Huwe
Dryland farming practices in mountainous regions of South Korea are dominated by cultivation of vegetables with plastic film covered ridges (plastic mulch). Primarily, furrows are oriented perpendicular to the main slope of the field site. In terms of soil erosion, this cultivation strategy could be regarded as a contour tillage conservation practice because it diminishes surface runoff along the steepest slopes. Contour farming is expressed in the Universal Soil Loss Equation with the P-Factor. The effectiveness of contouring depends primarily on slope angle and slope length, which results in P-Factors between zero (maximum efficiency) and one (no effect). Alternatively, tillage in mountainous areas of South Korea is typically at an angle to the contour lines, and runoff flows along the furrows, although not parallel to the steepest flow path. Therefore the erosion reduction efficiency is reduced with angle from contour. The contouring effectiveness depends not only on the slope angle and flow distance, but also on the field site morphology. On fields with a straight or concave surface, runoff flows along the ridges from the field to its edge with sediment only derived from the corresponding furrow. On field sites with a convex surface, runoff is focused along the furrows to the steepest point where flow accumulation occurs. During intense monsoonal events, the accumulated runoff can induce ridge breakovers resulting in increased erosion rates. Additional erosion can occur due to the plastic cover, which inhibits infiltration and accelerates runoff generation in the inter-rows. This results in both, loss of ridge conservation effectiveness, and higher field site total erosion. In this case P-Factors larger than one are necessary to describe the erosive effect of this cropping system. The objective of this study was to verify and quantify the impact of this cultivation strategy on soil erosion rates from mountainous farmland areas in South Korea.
Chemical Geology | 2005
Christopher H. Gammons; Scott A. Wood; Fernando Pedrozo; Johan C. Varekamp; Bethany J. Nelson; Christopher L. Shope; Gustavo Baffico
Water Resources Research | 2012
Christopher L. Shope; James E. Constantz; Clay A. Cooper; Donald M. Reeves; Greg Pohll; W. Alan McKay
Journal of Hydrology | 2012
Byung-Joon Jung; Hyun-Ju Lee; Jong-Jin Jeong; Jeffrey S. Owen; Bomchul Kim; Katrin Meusburger; Christine Alewell; Gerhard Gebauer; Christopher L. Shope; Ji-Hyung Park
Clean-soil Air Water | 2013
Jung Eun Lim; Mahtab Ahmad; Sang Soo Lee; Christopher L. Shope; Yohey Hashimoto; Kwon Rae Kim; Adel R.A. Usman; Jae E. Yang; Yong Sik Ok