Soil erosion prediction using Morgan-Morgan-Finney model in a GIS environment in Northern Ethiopia catchment

cg.coverage.countryEthiopia
cg.coverage.iso3166-alpha2ET
cg.coverage.regionAfrica
cg.coverage.regionSub-Saharan Africa
cg.coverage.regionEastern Africa
cg.creator.identifierLulseged Tamene: 0000-0002-4846-2330
cg.identifier.doihttps://doi.org/10.1155/2014/468751en
cg.isijournalISI Journalen
cg.issn1687-7667en
cg.journalApplied and Environmental Soil Scienceen
cg.subject.ciatSOIL INFORMATIONen
cg.subject.ciatMODELINGen
cg.volume2014en
dc.contributor.authorTesfahunegn, Gebreyesus Brhaneen
dc.contributor.authorTamene, Lulseged D.en
dc.contributor.authorVlek, Paul L.G.en
dc.date.accessioned2014-09-09T16:08:49Zen
dc.date.available2014-09-09T16:08:49Zen
dc.identifier.urihttps://hdl.handle.net/10568/42270
dc.titleSoil erosion prediction using Morgan-Morgan-Finney model in a GIS environment in Northern Ethiopia catchmenten
dcterms.abstractEven though scientific information on spatial distribution of hydrophysical parameters is critical for understanding erosion processes and designing suitable technologies, little is known in Geographical Information System (GIS) application in developing spatial hydrophysical data inputs and their application in Morgan-Morgan-Finney (MMF) erosion model. This study was aimed to derive spatial distribution of hydrophysical parameters and apply them in the Morgan-Morgan-Finney (MMF) model for estimating soil erosion in the Mai-Negus catchment, northern Ethiopia. Major data input for the model include climate, topography, land use, and soil data. This study demonstrated using MMF model that the rate of soil detachment varied from <20 t ha−1y−1to >170 t ha−1y−1, whereas the soil transport capacity of overland flow (TC) ranged from 5 t ha−1y−1to >42 t ha−1y−1. The average soil loss estimated by TC using MMF model at catchment level was 26 t ha−1y−1. In most parts of the catchment (>80%), the model predicted soil loss rates higher than the maximum tolerable rate (18 t ha−1y−1) estimated for Ethiopia. Hence, introducing appropriate interventions based on the erosion severity predicted by MMF model in the catchment is crucial for sustainable natural resources management.en
dcterms.accessRightsOpen Access
dcterms.audienceScientistsen
dcterms.bibliographicCitationTesfahunegn, Gebreyesus Brhan; Tamene, Lulseged; Vlek, Paul L.G.. 2014. Soil erosion prediction using Morgan-Morgan-Finney model in a GIS environment in Northern Ethiopia catchment. Applied and Environmental Soil Science. 15 p.en
dcterms.extentp. 1-15en
dcterms.issued2014
dcterms.languageen
dcterms.licenseCC-BY-3.0
dcterms.publisherHindawi Limiteden
dcterms.subjectsoil erosion modelsen
dcterms.subjectmodelosen
dcterms.subjecterosión‬en
dcterms.subjectsueloen
dcterms.typeJournal Article

Files

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description: