Estimation of soil erosion using SLEMSA model and OWA approach in Lorestan Province (Iran)

Document Type : Research Paper

Authors

1 Ph.D. in Combating Desertification, Department of Desert Science, Faculty of Natural Resources and Earth Sciences, University of Kashan, Iran

2 Associate Professor, Department of Desert Science, Faculty of Natural Resources and Earth Sciences, University of Kashan, Iran

3 Assistant Professor, Department of Geography and Ecotourism, Faculty of Natural Resources and Earth Sciences, University of Kashan, Iran

4 Assistant Professor, Department of Environmental Science, Faculty of Natural Resources and Earth Sciences, University of Kashan, Iran

Abstract

Identifying suitable models for estimating soil erosion is one of the most important
issues facing decision makers and managers in comprehensive planning and management of
soil and water. In this research, with the purpose of estimating soil erosion in Lorestan
Province, the conventional SLEMSA method was jointly used with OWA (ordered
weighted averaging) multi-criteria evaluation method. The results showed that in the
SLEMSA model, erosion classes with very low and very high erosion rates with an area of
16334 and 167 km
2, covered the largest (58.7%) and the smallest areas of the region (0.6%),
respectively. In the OWA method, on average, 63.67% of the area covering 18007 km
2 was
located in a very low erosion class, while the very high erosion class with an area of 956.5
km
2, comprised 5.85% of the study area. The results of this research showed that besides
using the SLEMSA model, the OWA method introducing a decision environment with risk
and uncertainties can be used to estimate erosion, and its output can lead to a relatively
precise assessment of the soil erosion in a short time and at a low cost for a vast area like
Lorestan Province.


Keywords


Angima, S.D., Stott, D.E., O’Neill, M.K., Ong, C.K., and Weesies, G.A. 2003. Soil erosion prediction using RUSLE for central Kenyan highland conditions. Agriculture, Ecosystems and Environment, 97, 295-308. doi:10.1016/s0167-8809(03)00011-2.
Bennett, H. 1939. Soil conservation. McGraw-Hill Book Co, New York.
Boroushaki, S., and Malczewski, J. 2008. Implementing an extension of the analytical hierarchy process using ordered weighted averaging operators with fuzzy quantifiers in ArcGIS. Computers & Geosciences 34, 399-410. DOI:10.1016/j.cageo.2007.04.003.
Breetzke, G.D., Koomen, E., and Critchley, W.R.S. 2013. GIS-Assisted Modelling of Soil Erosion in a South African Catchment: Evaluating the USLE and SLEMSA Approach. Water Resources Planning, Development and Management, Prof. Ralph Wurbs (Ed.),  ISBN: 978-953-51-1092-7, In Tech, Pp: 53-71. DOI: 10.5772/52314.
Calijuri, M.L., Marques, E.T., Lorentz, J.F., Azevedo, R.F., and Carvalho, C.A.B. 2004. Multi-criteria analysis for the identification of waste disposal areas. Geotech. Journal of Geology Engineering. 22 (2), 299-312. https://doi.org/10.1023/B:GEGE.0000018358.82899.ca.
Chakela, Q., Molapo, J., and Putsoane, T.G. 1989. Erosion hazard mapping of the SADCC region. Part 3. Lesotho. Report - SADCC Soil and Water Conservation and Land Utilization Programme, No. 25, 15p.
Elwell, H.A. 1978. Modelling soil losses in southern Africa. Journal of Agricultural Engineering Research. 23, 117-127. https://doi.org/10.1016/0021-8634(78)90043-4.
Elwell, H.A., and Stocking, M.A. 1982. Developing a simple yet practical method of soil-loss estimation. Tropical Agriculture, 59, 43-48. https://ueaeprints.uea.ac.uk/id/eprint/45746.
Entezari Najaf-Abadi, M., and Gholam Heydari, H. 2015. Comparing the two models SLEMSA and Corine in the assessment of soil erosion. The journal of spatial planning, 18 (3), 1-28. http://journals.modares.ac.ir/article-21-898-en.html.
Entezari Najaf-Abadi, M., and Gholami, M. 2013. Evaluation of soil erosion by TOPSIS and SLEMSA method (Case study: Romeshgan, Iran). Scientific - Research Quarterly on Environmental Erosion Researches, 7, 95-96.
Eastman, R.J. 2003. Idrisi for windows user guide, Clark University, New York.
Gandomkar, A., Sheikhi, N., and Ahmadi, S. 2008. The valuation of erosion at basin watershed in mousabad –tiran by using SLEMSA model. Quarterly Journal of the studies of human settlements planning, 3 (6), 95-109.
Gemitzi, A., Tsihrintzis, V.A., Voudrias, V., Petalas, C., and Stravodimos, G. 2007. Combining GIS, multicriteria evaluation techniques and fuzzy logic in siting MSW landfills. Journal of Environmental Geology 51, 797-811. DOI: 10.1007/s00254-006-0359-1.
Gorsevski, P.V., Donevska, K.R., Mitrovski, C.D., and Frizado, J.P. 2012. Integrating Multi-Criteria Evaluation Techniques with Geographic Information System for Landfill Site Selection.
Gitas, I.Z., Douros, K., Minakou, C., Silleos, G.N., and Karydas, C.G. 2009. Multi-temporal soil erosion risk assessment in N. CHALKIDIKI using a modified USLE raster model, Journal of EARSL Proceedings, 8, 40-52.
Granger, J.E. 1984. Some thoughts on soil erosion in Transkei. IMDS Discussion Papers, Institute for Management and Development Studies, University of Transkei, No. 12, 25p.
Igwe, C.A., Akamigbo, F.O.R., and Mbagwu, J.S.C. 1999. Application of SLEMSA and USLE erosion models for potential erosion hazard mapping in south-eastern Nigeria. Journal of International Agriculture, 13, 41-48.
Jiang, H., and Eastman, R.J. 2000. Application of fuzzy measures in multi-criteria evaluation in GIS. International Journal of Geographical Information Systems. 14, 173-184.
Kinama, J., Stocking, M.M., and Maingi, P.M. 2007. Slemsa model application for land use management in semiarid Kenya, East Africa, Volume: 24th SSSEA Annual conference.
Makropoulos, C., and Butler, D. 2005. Spatial ordered weighted averaging: incorporating spatially variable attitude towards risk in spatial multi-criteria decision-making. Environ. Modell. Software. 21 (1), 69-84.
Malczewski, J. 2004. GIS-based land-use suitability analysis: a critical overview. Progress in Planning, 62 (1), 3-65.
Malczewski, J., and Rinner, C. 2005. Exploring multicriteria decision strategies in GIS with linguistic quantifiers: a case study of residential quality evaluation. Journal of Geographical Systems, 7 (2), 249-268.
Mohammadi, S., Karimzadeh, H.R., and Habashi, K. 2017. Soil erosion assessment using ICONA model (case study: The Zayandehroud basin, Menderjan sub-basin). The 1st International Conference of Silk GIS, 24-26 May, Isfahan University of Technology, Esfahahan, Iran.
Mohammadi, S., Karimzadeh, H.R., and Habashi, K. 2018. Assessment Soil Erosion and Deposition in the Menderjan Watershed Using USPED and RUSLE Models in the Environment of Geographical Information System (GIS). Desert ecosystem engineering journal, 6 (17), 43-56.
Momeni, M. 2010. The Role of Humans in Environmental Changes. Journal of Scientific-Reserch Quarterly of Geographical Data (Sepehr), 19 (75), 1-96.
Mousavi, S.H. 2017. Estimation of soil erosion rate in Shahroud-Mayami watershed      using SLEMSA model and GIS technique. Geographical planning of space quarterly journal, 7 (24), 15-34.
Pimental, D.C., Harvey, P., Resosudarmo, K., Sinclair, D., Kurz, M., McNair, S., Crist, L., Shpritz, R., Saffouri, R., and Blair, R. 1995. Environmental costs of soil erosion and conservation benefits. Science. 267, 1117-1123.
Pourmohamadi Amlashi, E. 2001. Computational Estimation of Erosion in the Shalamandro Basin by PSIAK and SLEMSA method. Master's thesis of geography, Isfahan University Faculty of Humanities, Department of Geography.
Ramesht, M.H., and Shahzeidi, S.S. 2012. Application of geomorphology in national, regional, economic, and tourism planning. Esfahan university, Esfahan, 392p.
Rinner, C., and Malczewski, J. 2002. Web-enabled spatial decision analysis using ordered weighted averaging. Journal of Geographical Systems, 4 (4), 385-403.
 Rompaey, A., and Govers, G. 2002. Data quality and model complexity for regional scale soil erosion prediction. Geography Information Science, 16 (7), 663-680.
Salari, N., Ranjbar Manesh, N., and Nazari Pour, H. 2013. Determination of the risk of erosion in the Sirich basin using SLEMSA model. First National Conference on Agricultural and Sustainable Natural Resources, Tehran, Feb. 10.
Smith, H.J., Van, A.J., Zyl, A.S., Claassens, J.L., Schoeman, H.J.C., and Smoth Laker, M.C. 1997. Soil loss modelling in the Lesotho highlands water project (LHWP) catchments areas. Lesotho Highlands Water Project. Contract 617 B Erosion and sedimentation: Soil loss and sedimentation yield modelling: Stage 1, Part 1: Soil loss, March 1997.
Stocking, M.A., Chakela, Q., and Elwell, H.A. 1988. An improved method for erosion hazard mapping. Part I: The technique. Geografiska Annaler, 70 (3), 169-180.
Svorin, J. 2003. A test of three soil erosion models incorporated in to a geographical information system. Hydrological processes 17, university of Copenhagen.
Taghavi, S., and Hashemi, M. 2013. Estimation of sediment and erosion by the SLEMSA model using by GIS in Hayer watershed. First National Conference on Agricultural and Sustainable Natural Resources, Tehran, Feb. 10.
Tripathi, R.P. 1993. Soil Erosion and Conservation. New Age International Ltd, Polishers. 350p.
Washington, D.C. 1948. Food and Agriculture Organization of the united nations, the state of food and agriculture, a survey of world conditions and prospects. 222p.
Yager, R.R. 1988. On Ordered Weighted Averaging Aggregation Operators in Multicriteria Decision Making. IEEE Transactions on Systems, Man and Cybernetics, 18 (1), 183-190.