2篇
您的检索式：作者名="Bernard A.Engel"
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| 1 | Calibration,validation,and evaluation of the Water Erosion Prediction Project(WEPP)model for hillslopes with natural runoff plot data显示文摘The Water Erosion Prediction Project(WEPP)model has been widely used for estimating runoff and soil loss.The evaluation of the latest version(version 2021.133)under a range of environmental conditions can provide confidence to its users.The objectives of this study were to evaluate the WEPP model for runoff and soil loss predictions using 1159 plot years of rainfall-runoff events data from field experi-mental plots with various climates,soils,topographies,and crops.WEPP runoff and soil loss predictions were compared to the observations before and after input parameter calibration.The results showed good predictions of runoff and soil loss were obtained with both the uncalibrated and calibrated WEPP model for all considered scales with Nash-Sutcliffe model efficiencies(NSE)over 0.4.The calibration of input baseline effective hydraulic conductivity(k_(e)),baseline critical shear stress(τ_(c)),baseline rill erod-ibility(k_(r)),and baseline interrill erodibility(k_(i))improved WEPP model performance with NSE values of 0.98 and 0.91 for average annual runoff and soil loss predictions,respectively.The WEPP model tended to underestimate the runoff and soil loss for large events with runoff over 100 mm and soil loss over 120t/ha.Good event runoff and soil loss predictions(NSE ≥0.4)were obtained for the most common cropping/management systems considered,including corn,cotton,tilled fallow,and wheat after calibration.This study illustrates the most recent WEPP model's performance for runoff and soil loss predictions,and provides a comprehensive set of results. | Shuyuan Wang Ryan P.McGehee Tian Guo Dennis C.Flanagan Bernard A.Engel | 2023 | International Soil and Water Conservation Research2023，11，4： | 0 |
| 2 | An updated isoerodent map of the conterminous United States显示文摘Maps of erosivity,which are also commonly referred to as isoerodent maps,have played a critical role in soil conservation efforts in the United States and around the world.Currently available erosivity maps for the United States are either outdated,conflict with erosivity benchmarking studies,or utilized less advanced spatial mapping methods.Furthermore,it is possible that the same underlying issues with US maps are impacting global maps as well.In this study,we used more than 340015-min,fixed-interval precipitation gauges to update the isoerodent map of the conterminous United States.Erosivity values were interpolated using universal kriging under several spatial model configurations and resolutions.The optimal spatial model was selected based on which result had the lowest sample variogram error.Rainfall,erosivity,and erosivity density maps were compared to existing products.Some average annual and annual erosivity results were compared to high-quality erosivity benchmarking publications.Erosivity values from both RUSLE2 and Panagos et al.(2017)were generally lower in the eastern United States and mixed in the western United States compared to our results.Topographic effects resulted in much greater erosivity differences in this study as compared to prior maps.Benchmark comparisons revealed that erosivity maps from this study and others were lower than the benchmark by 14%or more(up to 38%).These findings suggest current practices of storm omission and intensity dampening correction need to be revisited,especially in locations with relatively low-to-moderate rainfall erosivity such as the Midwest or Northeast United States,for example. | Ryan P.McGehee Dennis C.Flanagan Puneet Srivastava Bernard A.Engel Chi-Hua Huang Mark A.Nearing | 2022 | International Soil and Water Conservation Research2022，10，1： | 0 |
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