Assessment soil erosion risk in Kohpayeh-segzi plain using Revised Universal Soil Loss Equation (RSLE)

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Habashi Khalil; MOHAMMADI SHAHIN; KARIMZADEH HAMID REZA; Poormanafi Saeed

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Paper Information

Journal: JOURNAL OF NATURAL ENVIRONMENT HAZARDS Year:2018 | Volume:7 | Issue:15 Page(s): 161-178

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Information Journal Paper

Title

Assessment soil erosion risk in Kohpayeh-segzi plain using Revised Universal Soil Loss Equation (RSLE)

Author(s)

Habashi Khalil | MOHAMMADI SHAHIN | KARIMZADEH HAMID REZA | Poormanafi Saeed | Issue Writer Certificate

Keywords

Soil erosionQ2

RUSLEQ1

TopographyQ2

GISQ2

RS.Q2

Abstract

RS.all" target="_blank">Soil erosion is one of the most important environmental problems we face today. Increasing human exploitation and lack of proper management of the natural environment has a great impact on intensifying the process of soil degradation and erosion. In this study, the erosion and sediment yield in a Kohpayeh-segzi plain with 136 thousand hectares were studied using the Revised UniveRS.l RS.all" target="_blank">Soil erosion Model (RS.all" target="_blank">RUSLE). Data and tools used in the study included Weather stations data, Information 21soil sample, digital elevation model (DEM), Satellite image OLI sensoRS. geographic information system (RS.all" target="_blank">GIS) and remote sensing (RS.. by investigation efficient parameteRS.in RS.all" target="_blank">RUSLE model, including rain erosion factor, K-factor, the factor is the RS.all" target="_blank">Topography, vegetation factor, and protective operations factor, The amount of the erosion in the region has been estimated. Accordingly, on the result the annual erosion in the entire study area has been estimated zero to 95 tons of soil per hectare per year. The results showed that topographical factor with the highest coefficient of determination (R2=0. 9) has the greatest impact on estimates of annual RS.all" target="_blank">Soil erosion using RS.all" target="_blank">RUSLE model. This research approves the effectiveness of new technologies, RS.all" target="_blank">GIS and remote sensing for estimating RS.all" target="_blank">Soil erosion.

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APA: Copy

Habashi, Khalil, MOHAMMADI, SHAHIN, KARIMZADEH, HAMID REZA, & Poormanafi, Saeed. (2018). Assessment soil erosion risk in Kohpayeh-segzi plain using Revised Universal Soil Loss Equation (RSLE). JOURNAL OF NATURAL ENVIRONMENT HAZARDS, 7(15 ), 161-178. SID. https://sid.ir/paper/259131/en

Vancouver: Copy

Habashi Khalil, MOHAMMADI SHAHIN, KARIMZADEH HAMID REZA, Poormanafi Saeed. Assessment soil erosion risk in Kohpayeh-segzi plain using Revised Universal Soil Loss Equation (RSLE). JOURNAL OF NATURAL ENVIRONMENT HAZARDS[Internet]. 2018;7(15 ):161-178. Available from: https://sid.ir/paper/259131/en

IEEE: Copy

Khalil Habashi, SHAHIN MOHAMMADI, HAMID REZA KARIMZADEH, and Saeed Poormanafi, “Assessment soil erosion risk in Kohpayeh-segzi plain using Revised Universal Soil Loss Equation (RSLE),” JOURNAL OF NATURAL ENVIRONMENT HAZARDS, vol. 7, no. 15 , pp. 161–178, 2018, [Online]. Available: https://sid.ir/paper/259131/en

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