Soil Erosion Prediction Using Morgan-Morgan-Finney Model in a GIS Environment in Northern Ethiopia Catchment
Even 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 a...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Applied and Environmental Soil Science |
| Online Access: | http://dx.doi.org/10.1155/2014/468751 |
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| author | Gebreyesus Brhane Tesfahunegn Lulseged Tamene Paul L. G. Vlek |
| author_facet | Gebreyesus Brhane Tesfahunegn Lulseged Tamene Paul L. G. Vlek |
| author_sort | Gebreyesus Brhane Tesfahunegn |
| collection | DOAJ |
| description | Even 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−1 y−1 to >170 t ha−1 y−1, whereas the soil transport capacity of overland flow (TC) ranged from 5 t ha−1 y−1 to >42 t ha−1 y−1. The average soil loss estimated by TC using MMF model at catchment level was 26 t ha−1 y−1. In most parts of the catchment (>80%), the model predicted soil loss rates higher than the maximum tolerable rate (18 t ha−1 y−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. |
| format | Article |
| id | doaj-art-089538d83e1f4ed6a30da034479fbc9d |
| institution | Kabale University |
| issn | 1687-7667 1687-7675 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Applied and Environmental Soil Science |
| spelling | doaj-art-089538d83e1f4ed6a30da034479fbc9d2025-08-20T03:55:32ZengWileyApplied and Environmental Soil Science1687-76671687-76752014-01-01201410.1155/2014/468751468751Soil Erosion Prediction Using Morgan-Morgan-Finney Model in a GIS Environment in Northern Ethiopia CatchmentGebreyesus Brhane Tesfahunegn0Lulseged Tamene1Paul L. G. Vlek2College of Agriculture, Aksum University, P.O. Box 287, Aksum, EthiopiaInternational Centre for Tropical Agriculture (CIAT), Chitedze Agricultural Research Station, P.O. Box 158, Lilongwe, MalawiCollege of Agriculture, Aksum University, P.O. Box 287, Aksum, EthiopiaEven 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−1 y−1 to >170 t ha−1 y−1, whereas the soil transport capacity of overland flow (TC) ranged from 5 t ha−1 y−1 to >42 t ha−1 y−1. The average soil loss estimated by TC using MMF model at catchment level was 26 t ha−1 y−1. In most parts of the catchment (>80%), the model predicted soil loss rates higher than the maximum tolerable rate (18 t ha−1 y−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.http://dx.doi.org/10.1155/2014/468751 |
| spellingShingle | Gebreyesus Brhane Tesfahunegn Lulseged Tamene Paul L. G. Vlek Soil Erosion Prediction Using Morgan-Morgan-Finney Model in a GIS Environment in Northern Ethiopia Catchment Applied and Environmental Soil Science |
| title | Soil Erosion Prediction Using Morgan-Morgan-Finney Model in a GIS Environment in Northern Ethiopia Catchment |
| title_full | Soil Erosion Prediction Using Morgan-Morgan-Finney Model in a GIS Environment in Northern Ethiopia Catchment |
| title_fullStr | Soil Erosion Prediction Using Morgan-Morgan-Finney Model in a GIS Environment in Northern Ethiopia Catchment |
| title_full_unstemmed | Soil Erosion Prediction Using Morgan-Morgan-Finney Model in a GIS Environment in Northern Ethiopia Catchment |
| title_short | Soil Erosion Prediction Using Morgan-Morgan-Finney Model in a GIS Environment in Northern Ethiopia Catchment |
| title_sort | soil erosion prediction using morgan morgan finney model in a gis environment in northern ethiopia catchment |
| url | http://dx.doi.org/10.1155/2014/468751 |
| work_keys_str_mv | AT gebreyesusbrhanetesfahunegn soilerosionpredictionusingmorganmorganfinneymodelinagisenvironmentinnorthernethiopiacatchment AT lulsegedtamene soilerosionpredictionusingmorganmorganfinneymodelinagisenvironmentinnorthernethiopiacatchment AT paullgvlek soilerosionpredictionusingmorganmorganfinneymodelinagisenvironmentinnorthernethiopiacatchment |