Determination of soil erosion risk in the Mustafakemalpasa river basin, Turkey, using the revised universal soil loss equation, geographic Information system, and remote sensing

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dc.contributor.buuauthorÖzsoy, Gökhan
dc.contributor.buuauthorAksoy, Ertuğrul
dc.contributor.buuauthorDirim, Mehmet Sabri
dc.contributor.buuauthorTümsavaş, Zeynal
dc.contributor.departmentUludağ Üniversitesi/Ziraat Fakültesi/Toprak Bilimi ve Bitki Besleme Bölümü.tr_TR
dc.contributor.orcid0000-0002-4421-7936tr_TR
dc.contributor.orcid0000-0001-9901-6499tr_TR
dc.contributor.researcheridAAH-2993-2021tr_TR
dc.contributor.researcheridAAF-5336-2019tr_TR
dc.contributor.researcheridAAH-3316-2021tr_TR
dc.contributor.scopusid35307739600tr_TR
dc.contributor.scopusid35749507200tr_TR
dc.contributor.scopusid35306490900tr_TR
dc.contributor.scopusid6507710594tr_TR
dc.date.accessioned2021-12-22T10:13:03Z
dc.date.available2021-12-22T10:13:03Z
dc.date.issued2012-10
dc.description.abstractSediment transport from steep slopes and agricultural lands into the Uluabat Lake (a RAMSAR site) by the Mustafakemalpasa (MKP) River is a serious problem within the river basin. Predictive erosion models are useful tools for evaluating soil erosion and establishing soil erosion management plans. The Revised Universal Soil Loss Equation (RUSLE) function is a commonly used erosion model for this purpose in Turkey and the rest of the world. This research integrates the RUSLE within a geographic information system environment to investigate the spatial distribution of annual soil loss potential in the MKP River Basin. The rainfall erosivity factor was developed from local annual precipitation data using a modified Fournier index: The topographic factor was developed from a digital elevation model; the K factor was determined from a combination of the soil map and the geological map; and the land cover factor was generated from Landsat-7 Enhanced Thematic Mapper (ETM) images. According to the model, the total soil loss potential of the MKP River Basin from erosion by water was 11,296,063 Mg year(-1) with an average soil loss of 11.2 Mg year(-1). The RUSLE produces only local erosion values and cannot be used to estimate the sediment yield for a watershed. To estimate the sediment yield, sediment-delivery ratio equations were used and compared with the sediment-monitoring reports of the Dolluk stream gauging station on the MKP River, which collected data for > 41 years (1964-2005). This station observes the overall efficiency of the sediment yield coming from the Orhaneli and Emet Rivers. The measured sediment in the Emet and Orhaneli sub-basins is 1,082,010 Mg year(-1) and was estimated to be 1,640,947 Mg year(-1) for the same two sub-basins. The measured sediment yield of the gauge station is 127.6 Mg km(-2) year(-1) but was estimated to be 170.2 Mg km(-2) year(-1). The close match between the sediment amounts estimated using the RUSLE-geographic information system (GIS) combination and the measured values from the Dolluk sediment gauge station shows that the potential soil erosion risk of the MKP River Basin can be estimated correctly and reliably using the RUSLE function generated in a GIS environment.en_US
dc.description.sponsorshipOrman ve Su Ürünleri Müdürlüğütr_TR
dc.description.sponsorshipGıda Tarım ve Hayvancılık Bakanlığıtr_TR
dc.identifier.citationÖzsoy, G. vd. (2012). "Determination of soil erosion risk in the Mustafakemalpasa river basin, Turkey, using the revised universal soil loss equation, geographic Information system, and remote sensing". Environmental Management, 50(4), 679-694.en_US
dc.identifier.endpage694tr_TR
dc.identifier.issn0364-152X
dc.identifier.issn1432-1009
dc.identifier.issue4tr_TR
dc.identifier.pubmed22810626tr_TR
dc.identifier.scopus2-s2.0-84866559271tr_TR
dc.identifier.startpage679tr_TR
dc.identifier.urihttps://doi.org/10.1007/s00267-012-9904-8
dc.identifier.urihttps://pubmed.ncbi.nlm.nih.gov/22810626/
dc.identifier.urihttps://link.springer.com/article/10.1007/s00267-012-9904-8
dc.identifier.urihttp://hdl.handle.net/11452/23451
dc.identifier.volume50tr_TR
dc.identifier.wos000308652800014tr_TR
dc.indexed.pubmedPubmeden_US
dc.indexed.scopusScopusen_US
dc.indexed.wosSCIEen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.bapZ-2003/96tr_TR
dc.relation.journalEnvironmental Managementen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergitr_TR
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEnvironmental sciences & ecologyen_US
dc.subjectGeographic information systemen_US
dc.subjectRemote sensingen_US
dc.subjectRevised universal soil loss equationen_US
dc.subjectSoil erosion modelingen_US
dc.subjectSoil lossen_US
dc.subjectMustafakemalpasa river basinen_US
dc.subjectDigital elevation modelen_US
dc.subjectSlope length factoren_US
dc.subjectLs factoren_US
dc.subjectUsle-men_US
dc.subjectRusleen_US
dc.subjectGisen_US
dc.subjectPredictionen_US
dc.subjectCatchmenten_US
dc.subjectRatesen_US
dc.subjectBursa [Turkey]en_US
dc.subjectMustafakemalpasaen_US
dc.subjectTurkeyen_US
dc.subjectErosionen_US
dc.subjectFloodsen_US
dc.subjectGeographic information systemsen_US
dc.subjectPrecipitation (meteorology)en_US
dc.subjectRemote sensingen_US
dc.subjectRisk perceptionen_US
dc.subjectRiversen_US
dc.subjectSediment transporten_US
dc.subjectSedimentologyen_US
dc.subjectSoilsen_US
dc.subjectWatershedsen_US
dc.subjectAgricultural landen_US
dc.subjectAnnual precipitationen_US
dc.subjectDigital elevation modelen_US
dc.subjectEnhanced thematic mapper imagesen_US
dc.subjectErosion modelsen_US
dc.subjectGeological mapen_US
dc.subjectK factoren_US
dc.subjectLand coveren_US
dc.subjectLandsat 7en_US
dc.subjectOverall efficiencyen_US
dc.subjectRainfall erosivityen_US
dc.subjectRamsar siteen_US
dc.subjectRevised universal soil loss equationsen_US
dc.subjectRiver basinsen_US
dc.subjectSediment yieldsen_US
dc.subjectSoil erosionen_US
dc.subjectSoil erosion modelingen_US
dc.subjectSoil erosion risken_US
dc.subjectSoil lossen_US
dc.subjectSoil mapsen_US
dc.subjectSteep slopeen_US
dc.subjectStream gaugingen_US
dc.subjectSubbasinsen_US
dc.subjectequationen_US
dc.subjectGısen_US
dc.subjectLandsat thematic mapperen_US
dc.subjectModelingen_US
dc.subjectRemote sensingen_US
dc.subjectRisk assessmenten_US
dc.subjectRiver basinen_US
dc.subjectSediment transporten_US
dc.subjectSediment yielden_US
dc.subjectSoil erosionen_US
dc.subjectGeologic modelsen_US
dc.subject.emtreeRainen_US
dc.subject.emtreeArticleen_US
dc.subject.emtreeGeographic information systemen_US
dc.subject.emtreeLand useen_US
dc.subject.emtreeMathematical modelen_US
dc.subject.emtreePrecipitationen_US
dc.subject.emtreeReliabilityen_US
dc.subject.emtreeRemote sensingen_US
dc.subject.emtreeRisk assessmenten_US
dc.subject.emtreeRiver basinen_US
dc.subject.emtreeSediment transporten_US
dc.subject.emtreeSoil erosionen_US
dc.subject.emtreeTurkey (republic)en_US
dc.subject.emtreeWatersheden_US
dc.subject.meshConservation of natural resourcesen_US
dc.subject.meshEnvironmental monitoringen_US
dc.subject.meshForecastingen_US
dc.subject.meshGeographic information systemsen_US
dc.subject.meshGeologic sedimentsen_US
dc.subject.meshModels, theoreticalen_US
dc.subject.meshRainen_US
dc.subject.meshRisken_US
dc.subject.meshRiversen_US
dc.subject.meshSoilen_US
dc.subject.meshSpacecraften_US
dc.subject.meshTurkeyen_US
dc.subject.scopusRevised Universal Soil Loss Equation; Soil Erosion; Erodibilityen_US
dc.subject.wosEnvironmental sciencesen_US
dc.titleDetermination of soil erosion risk in the Mustafakemalpasa river basin, Turkey, using the revised universal soil loss equation, geographic Information system, and remote sensingen_US
dc.typeArticle
dc.wos.quartileQ3en_US

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