INTER -COMPARISONSOFTHEPERFORMANCEOF  DIFFERENTRAINFALL-RUNOFFHYDROLOGICALMODELS  INABAYA-CHAM ORIVERBASIN  ACASESTUDYOFBILATEAN DKULFOCATCHMENTS

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dc.contributor.author	GENENEABER ANIGATU
dc.date.accessioned	2017-07-27T12:04:42Z
dc.date.available	2017-07-27T12:04:42Z
dc.date.issued	2006-07
dc.identifier.uri	http://hdl.handle.net/123456789/644
dc.description.abstract	I nriverflowsimulationandforecastingwherethereisinsufficientdataand minimumgaugingstations,hydrologicalmodelsareappropriateoperational toolstosimulateandextendthetimeseries. Theaimofthisstudywastointer-comparetheperformanceoffour deterministic-Lumpedrainfall-runoffmodelsintheAbayaChamoRiver Basin.InthisRiverBasinthemeteorological&hydrologicaldatafromBilate andKulfocatchtnentswereconsideredfortheanalysis. TheSimpleLinearModel(SLM),TheLinearPerturbationModel(LPM),the SoilMoistureAccountingandRoutingModel(SMAR)andHBVmodelswere usedforthestudy. Theselectedmpdeisperformancewasevaluatedandcomparedforthetwo catchments.Visualcomparisonofthesimulatedandobservedrunoff response,Nashefficiencycriterion(R^),theindexofvolumetricfit(IVF)and therelativeerrorofpeak(RE)criteriawereusedtocomparethemodels outputs.Theoptimumparameterswhichgivebettersimulationresultwere determinedforthecalibrationperiodsofeachmodel.Theverificationhave beenmadefortheoptimumparametersobtainedduringthecalibration period. TheSMAR,HBVandLPMgavebettermodelperformanceinBilate comparedtotheresultinKulfocatchment.OutofthefourmodelstheSMAR modelresultwasbetterinboththecatchments. Therefore,theSMARmodelcanbeusedtoestimatedischargeinthetwo catchments.Furtherinvestigationhastobemadetogeneralizethe applicabilityofthismodeltoallAbayaChamoRiverBasins. mm.	en_US
dc.language.iso	en	en_US
dc.publisher	ARBA MINCH UNIVERSIT	en_US
dc.title	INTER -COMPARISONSOFTHEPERFORMANCEOF DIFFERENTRAINFALL-RUNOFFHYDROLOGICALMODELS INABAYA-CHAM ORIVERBASIN ACASESTUDYOFBILATEAN DKULFOCATCHMENTS	en_US
dc.type	Thesis	en_US