Evaluation of WEPP versus EGEM and empirical model efficiencies in predicting ephemeral gully erosion around Mubi area,Northeast Nigeria
作者机构:Department of Soil Science&Land Resources ManagementFederal University WukariP.M.B1020Wukari Taraba StateNigeria USDA-ARSNational Soil Erosion Research LaboratoryPurdue UniversityLafayetteINUSA Department of Soil ScienceFaculty of AgricultureUniversity of MaiduguriP.M.B1069Borno StateNigeria
出 版 物:《International Soil and Water Conservation Research》 (国际水土保持研究(英文))
年 卷 期:2021年第9卷第1期
页 面:11-25页
核心收录:
学科分类:082802[工学-农业水土工程] 090707[农学-水土保持与荒漠化防治] 0907[农学-林学] 08[工学] 0828[工学-农业工程] 09[农学] 0815[工学-水利工程]
主 题:Empirical EGEM WEPP Ephemeral gully erosion Soil loss Mubi Northeast Nigeria
摘 要:Evaluation of prediction models is crucial to achieving valid information on erosion processes and their management *** model efficiency in predicting ephemeral gully(EG)erosion was recently tested and compared with both EGEM and empirical *** models abilities to predict EG erosion were validated using measured estimates at the 6 eroding locations around Mubi area in Northeast Nigeria between April 2008 and October *** location consisted of 3 watersheds where data on soils,climate,slope,management practices,EG shapes and dimensions were *** on relevant soil properties were collected in the field and then analyzed in *** mass of soil loss(MSL)predicted by empirical,EGEM and WEPP models were compared with the measured using paired T-test,regression graphs(r^(2)-values),error analysis,and analysis of variance(ANOVA)in a completely ran-domized *** EG erosion losses varied significantly(P≤0.05)between sites and *** sig-nificant(P≤0.05)differences were observed between measured and the empirically predicted aggregate *** measured aggregate MSL strongly correlated with those predicted by empirical(r^(2)=0.67),than with EGEM(r^(2)=0.57),and WEPP(r^(2)=0.53)*** over and under-prediction instances against the measured erosion were noted with all the *** WEPP model was found to slightly over-predict MSL when compared to either the empirical or EGEM *** prediction quality of the models was generally *** works should focus more on local inputs such as climate,plants,management,and tillage data for use with WEPP.