estimation of soil erosion using slemsa model and owa approach in lorestan province (iran)

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 km², 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 km² was located in a very low erosion class, while the very high erosion class with an area of 956.5 km², 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.