Soil erosion potential zoning of Arasbaran forest lands using MCDM and GIS (case study: Mardanaghom-chay Watershed)

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Research Paper 01/07/2015
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Soil erosion potential zoning of Arasbaran forest lands using MCDM and GIS (case study: Mardanaghom-chay Watershed)

Sanaz Shoari, Erfan Zolfeghari (Corresponding Author), Omid Rafieyan
J. Bio. Env. Sci.7( 1), 141-148, July 2015.
Certificate: JBES 2015 [Generate Certificate]

Abstract

Potential Zoning and severity of erosion in management of areas, is a mechanism by which reduces conflict zones and provides the opportunity to take the required measures. The present study aimed at Potential Zoning areas prone to erosion Arasbaran forests, Mardanghom chay watershed, an area of 28,262 hectares, with the use of MCDM and fuzzy logic by using GIS. In this study, after visiting the region’s forest after initial recognition and preparation of the digital maps to the Delphi questionnaire, and the AHP Layers were weighted and classified. In the next step is through using SPOT5 satellite images of the area, polygon of degraded lands and forests in vector format layers were prepared and then by using MCE, the final Soil Erosion Potential Zoning map were prepared. The rate of erosion in the study area based on environmental factors, vegetation and destructive was to the four classes of erosion, severe, moderate, low and very low classified. The results indicated that slope as one of the investigated parameters, according to the AHP, with 0.2 was assigned highest weight base on its significant relative to each of the other factors and aspect was assigned lowest weight. Parameters weights for each criteria after pair wise comparison matrix after slope, decrease respectively, Altitude, Climate, Population, Distance of river, Soil texture, Geology, Distance of road, Distance of village, Land use and Density. It can be said that, the most important factor in soil erosion was slope.

VIEWS 9

Abushnaaf  FF,  Spence     KJ,  Rotherham  ID. 2013. Developing a Land Evaluation Model for the Benghazi Region in Northeast Libya using a Geographic Information System and Multi-criteria Analysis. Journal of APCBEE Procedia Science Direct 5: 69-75.

Asgari Sh, Servati M, Jafari M. 2009. Estimation of soil erosion and sediment yield Ilam dam basin using MPSIAC. Geographical research 64, 29-35.

Bou Kheir R, Abdallah C, Khawlie M. 2008. Assessing soil erosion in Mediterranean karst lands-capes of Lebanon using remote sensing and GIS, Journal of Engineering Geology. ScienceDirect 99, 239-254.

Dehghani M, Ghasemi H, Malekian A. 2013. Prioritize areas to reduce flood and erosion control using fuzzy logic (case study watershed Forg). Journal of pasture and Watershed Management Journal of Natural Resources 1, 73-88.

Demirel T, Tüzün S. 2011. Multi Criteria Evaluation of the Methods for Preventing Soil Erosion Using Fuzzy ANP: The Case of Turkey. Journal of Proceedings of the World Congress on Engineering 2, 1-5.

Javadian  M,  Shamskooshki  H,  Momeni  M. 2011. Application of sustainable urban development in environmental suitability analysis of educational land use by using AHP and GIS in Tehran. Journal of Procedia Engineering ScienceDirect 21: 72-80.

Kazemi M, Nohegara A. 2011. Evaluate the spatial variability of water erosion hazard zonation using CORINE. Study of environmental degradation 2, 11-12.

Lina WT, Tsalib JS, Linc CY, Huangd PH. 2008. Assessing reforestation placement and benefit for erosion control: A case study on the Chi-Jia-Wan Stream, Taiwan. Journal of Ecological Modelling 2, 444-452.

Mohajer M. 2010. Silviculture. University of Tehran Press, 3rd Edition, pp:418.

Mohammady M, Morady HR, Feiznia S, Pourghasemi HR. 2010. Prioritization of Landslide Effective Factors and its Hazard Mapping using Information Value and AHP Models. Journal of Geosciences Scientific Quarterly Journal 74, 27-35.

Nahuelhual L, Carmona A, Lozada P, Jaramillo A, Aguayo, M. 2013. Mapping recreation and ecotourism as a cultural ecosystem service: An application at the local level in Southern Chile. Journal of Applied Geography SciVerse ScienceDirect 40, 71-82.

Nekhay O, Arriaza M, Boerboom L. 2009. Evaluation of soil erosion risk using Analytic Network Process and GIS: A case study from Spanish mountain olive plantations. Journal of Environmental Management ScienceDirect 90, 3091-3104.

Ngai EWT, Chan EWC. 2005. Evaluation of knowledge management tools using AHP. Expert Systems with Applications, 29, 889–899.

Ni, JR, Li XX, Borthwick AGL. 2012. Soil erosion assessment based on minimum polygons in the Yellow River basin, China. Journal of Geomorphology ScienceDirect 93, 233-252.

Ning SK, Chang NB, Jeng KY, Tseng YH. 2005. Soil erosion and non-point source pollution impacts assessment with the aid of multi-temporal remote sensing images. Journal of Environmental Manage-ment 79, 88-101.

Pourghasemi HR. 2009. Lanslide Hazard Assessment using Fuzzy Logic. (Case Study: A part of Haraz Watershed), Master Thesis.

Qafoku NP, Van ranst E, Noble A, Baert G. 2008. Mineralogy and chemistry frariable charge soils. Journal of Encyclopedia of soil scieuce, Marcel dekker, New York., Tarbiat Modares University 12, 45-63.