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.