"title":"Application of RUSLE Model on Global Soil Erosion Estimate",
"creators": [
{
"firstName":"Thai Nam",
@@ -156,46 +170,91 @@ var testCases = [
"creatorType":"author"
}
],
"notes":[],
"tags":[
"soil erosion by water",
"the RUSLE",
"global estimation",
"global data sets"
],
"seeAlso":[],
"date":"2001",
"DOI":"10.2208/prohe.45.811",
"abstractNote":"Soil erosion is one of the most serious environmental problems commonly in over the world, which is caused by both natural and human factors. It is possible to investigate the global issue on soil erosion with the development of global data sets. This research estimated global soil erosion by the RUSLE model with use of a comprehensive global data set. The accuracy of the estimate mostly depends on the available information related to the study area. Present available finest data was used in this study. As the desired objective of estimating soil erosion by water at global scale, the application of RUSLE has shown its positive applicability on large-scale estimates. The study has shown a global view of water soil erosion potential with 0.5-degree grid resolution. Regional validations and examinations have been carried out by different ways. The global mean of annual soil erosion by water was estimated as 1100 ton/ km2, which agrees with several results obtained in different regions.",
"itemID":"2001811",
"libraryCatalog":"J-Stage",
"pages":"811-816",
"publicationTitle":"Proceedings of Hydraulic Engineering",
"volume":"45",
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"title":"J-Stage - Snapshot",
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"itemID":"2001811",
"title":"Application of RUSLE Model on Global Soil Erosion Estimate",
"publicationTitle":"Proceedings of Hydraulic Engineering",
"volume":"45",
"pages":"811-816",
"date":"2001",
"abstractNote":"Soil erosion is one of the most serious environmental problems commonly in over the world, which is caused by both natural and human factors. It is possible to investigate the global issue on soil erosion with the development of global data sets. This research estimated global soil erosion by the RUSLE model with use of a comprehensive global data set. The accuracy of the estimate mostly depends on the available information related to the study area. Present available finest data was used in this study. As the desired objective of estimating soil erosion by water at global scale, the application of RUSLE has shown its positive applicability on large-scale estimates. The study has shown a global view of water soil erosion potential with 0.5-degree grid resolution. Regional validations and examinations have been carried out by different ways. The global mean of annual soil erosion by water was estimated as 1100 ton/ km2, which agrees with several results obtained in different regions.",
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