Parameter evaluation for soil erosion estimation on small watersheds using SWAT model

cg.contactfiaz_hussain08@yahoo.comen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerSoil and Water Conservation Research Institute - SAWCRIen_US
cg.contributor.centerUniversity of Engineering and Technology, Centre for Excellence in Water Resources Engineering - UET - CEWREen_US
cg.contributor.centerPMAS-Arid Agriculture University Rawalpindi - UAARen_US
cg.contributor.centerNational Central University - NCUen_US
cg.contributor.crpCGIAR Research Program on Dryland Systems - DSen_US
cg.contributor.funderCGIAR System Organization - CGIARen_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.identifier.doihttps://dx.doi.org/10.25165/j.ijabe.20191201.3769en_US
cg.isijournalISI Journalen_US
cg.issn1934-6344en_US
cg.issue1en_US
cg.journalInternational Journal of Agricultural and Biological Engineeringen_US
cg.subject.agrovoccalibrationen_US
cg.subject.agrovocsediment yielden_US
cg.volume12en_US
dc.contributorNabi, Ghulamen_US
dc.contributorWu, Ray-Shyanen_US
dc.contributorHussain, Bashiren_US
dc.contributorAbbas, Tanveeren_US
dc.creatorHussain, Fiazen_US
dc.date.accessioned2019-03-07T00:19:27Z
dc.date.available2019-03-07T00:19:27Z
dc.description.abstractThis research was undertaken for the evaluation of soil erosion using the semi-distributed basin scale SWAT model for four subcatchments of the Dhrabi River Catchment (DRC), which is located in the Pothwar Plateau region. Two subcatchments (catchment-25 and -31) are characterized by gullies while the other two (catchment-27 and -32) are managed with terraced landuse system. The performance of the model was satisfactory with coefficient of determination (R2) = 0.67 to 0.91 and Nash-Sutcliffe efficiency (ENS) = 0.54 to 0.85 for both surface runoff and sediment yield during the calibration (2009- 2010) and validation (2011) periods. The PUSLE factor was found to be the most sensitive parameter during model calibration. It was observed that all of the rainfall- runoff events occurred during the monsoon season (June to September). The estimated annual sediment loss ranged from 2.6 t/hm2 to 31.1 t/hm2 over the duration of the simulation period for the non-terraced catchments, in response to annual precipitation amounts that were between 194.8 mm to 579.3 mm. In contrast, the predicted annual sediment levels for the terraced catchments ranged from 0.52 t/hm2 to 10.1 t/hm2 due to similar precipitation amounts. The terraced catchments resulted in 4 to 5 times lower sediment yield as compared to non-terraced catchments. The results suggest that there is a huge potential for terraces to reduce soil erosion in the DRC specifically and Pothwar area generally, which have proven to be an efficient approach of establishing soil and water conservation structures in this region.en_US
dc.formatPDFen_US
dc.identifierhttps://mel.cgiar.org/reporting/downloadmelspace/hash/ad101550864173d2ed9438213d815588/v/a925b211f7aff2dd9d79120c336f679cen_US
dc.identifier.citationFiaz Hussain, Ghulam Nabi, Ray-Shyan Wu, Bashir Hussain, Tanveer Abbas. (13/1/2019). Parameter evaluation for soil erosion estimation on small watersheds using SWAT model. International Journal of Agricultural and Biological Engineering, 12 (1), pp. 96-108.en_US
dc.identifier.statusOpen accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/9612
dc.languageenen_US
dc.publisherChinese Society of Agricultural Engineeringen_US
dc.rightsCC-BY-4.0en_US
dc.sourceInternational Journal of Agricultural and Biological Engineering;12,(2019) Pagination 96-108en_US
dc.subjectvalidationen_US
dc.subjectswat modelingen_US
dc.subjectmodified version of universal soil loss equation (musle)en_US
dc.subjectparameter evaluationen_US
dc.subjectsmall watershedsen_US
dc.titleParameter evaluation for soil erosion estimation on small watersheds using SWAT modelen_US
dc.typeJournal Articleen_US
dcterms.available2019-01-13en_US
dcterms.extent96-108en_US
mel.impact-factor1.267en_US

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