2018
DOI: 10.1088/1742-6596/1013/1/012153
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Multi criteria evaluation for universal soil loss equation based on geographic information system

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Cited by 4 publications
(4 citation statements)
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“…The value of soil loss is estimated by the Remote Sensing and Geographic Information System based on the RUSLE model too. Rainfall erosivity (R), soil erodability (K), slope length and steepness (LS), cover management (C) and conservation practice (P) factors are GIS data layers and were computed to determine their effects on average annual soil loss in the study area [9]. Survey, investigation, design, land acquisition, construction, operation and maintenance (SIDLaCOM) are through by construction process.…”
Section: Introductionmentioning
confidence: 99%
“…The value of soil loss is estimated by the Remote Sensing and Geographic Information System based on the RUSLE model too. Rainfall erosivity (R), soil erodability (K), slope length and steepness (LS), cover management (C) and conservation practice (P) factors are GIS data layers and were computed to determine their effects on average annual soil loss in the study area [9]. Survey, investigation, design, land acquisition, construction, operation and maintenance (SIDLaCOM) are through by construction process.…”
Section: Introductionmentioning
confidence: 99%
“…The adoption of the best-worst method proposed is the first step in the development of landslide risk management and they are expected to be used by local governments for effective management planning to obtain results from landslide vulnerability assessments. [8,9,10,11,12].…”
Section: Introductionmentioning
confidence: 99%
“…Researchers produced multi-criteria evaluation method which consisted of thematic map of rainfall, soil type and land slope which could be describing the rank of each theme on cheaper, faster and easier than conventional method. Researchers produced regional function table is a data structure rainfall, soil type and land slope combination automatically [10,11,12].…”
Section: Introductionmentioning
confidence: 99%