2015
DOI: 10.15244/pjoes/28962
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Prioritization of Soil Erosion Vulnerable Areas Using Multi-Criteria Analysis Methods

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Cited by 27 publications
(7 citation statements)
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“…This map (Figure 7) allows us to visualize the spatial distribution of soil erosion risk in the province of Manabí, and also enables us to relate the different risk classes with the factors that have the greatest weight as regards their determination by interest areas (compared by the superposition of the final erosion map onto the map of each of the factors). This has allowed us to identify that the factors with the greatest influence on soil erosion risk are the slope and the soil coverage, thus corroborating the point made by Vulević et al (2015).…”
Section: Erosion Risk Mapsupporting
confidence: 74%
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“…This map (Figure 7) allows us to visualize the spatial distribution of soil erosion risk in the province of Manabí, and also enables us to relate the different risk classes with the factors that have the greatest weight as regards their determination by interest areas (compared by the superposition of the final erosion map onto the map of each of the factors). This has allowed us to identify that the factors with the greatest influence on soil erosion risk are the slope and the soil coverage, thus corroborating the point made by Vulević et al (2015).…”
Section: Erosion Risk Mapsupporting
confidence: 74%
“…The variables were reclassified into five classes of soil erosion risk, as follows: 1 (very low), 2 (low), 3 (moderate), 4 (high) and 5 (very high). The variables were combined using a weighted ratio, obtained from expert judgment by means of a multi-criteria evaluation (Starkloff and Stolte, 2014;Vulević et al, 2015), and using software for the analysis and interpretation of satellite images and GIS, specifically those related to map algebra. The weighting process of the factors determined the following results: 20% (0.2) for the USLE R factor, 30% (0.3) for the topographic slope, 30% (0.3) for the NDVI, 10% (0.1) for land use, and 10% (0.1) for soil texture, expressed as follows:…”
Section: Land Use (Lu)mentioning
confidence: 99%
“…Some of the known methods such as WEIGHTED AVERAGE, AHP, ELECTRE and PROMETHEE method are applicable in some of the different fields, even on the field of water resources management [4,5,6,8]. The models are different based on the mathematics and function as a rank determines.…”
Section: Introductionmentioning
confidence: 99%
“…Rainstorms in the subtropical climate zone are strong and frequent. Soilcollapsing erosion affected by numerous factors is a complex problem [18]. Rainfall runoff leads to grave soil and water loss.…”
Section: Introductionmentioning
confidence: 99%