Modeling and Assessing Potential Soil Erosion Hazards Using USLE and Wind Erosion Models in Integration with GIS Techniques: Dakhla Oasis, Egypt

Soil erosion modeling is becoming more significant in the development and implementation of soil management conservation policies. For a better understanding geographical distribution erosion, spatial-based models are required. The current study proposed model that integrated geographic information systems (GIS) techniques with both universal loss equation (USLE) Index Land Susceptibility to Wind Erosion (ILSWE). Spatial Loss Model (SSLM) was designed generate potential maps based on water wind by integrating factors USLE ILSWE into GIS environment. Hence, main objective this predict, quantify, assess hazards using SSLM Dakhla Oasis as case study. values were computed overlaying five factors: rainfall factor (R-Factor), erodibility (K-Factor), topography (LS-Factor), crop types (C-Factor), practice (P-Factor). severity wind-driven calculated climatic erosivity (CE-Factor), (E-Factor), crust (SC-Factor), vegetation cover (VC-Factor), surface roughness (SR-Factor). statistically validated comparing its outputs results models. varied from 0.26 3.51 t ha?1 yr?1 an average 1.30 3.09 mean 1.33 yr?1, respectively. As result, according assessment SSLM, one class, very low class (<6.7 yr?1), has been reported be prevalent area. These findings indicate slightly eroded tolerable against under conditions. Furthermore, area classified four classes severity: slight, moderate, high, representing 1.0%, 25.2%, 41.5%, 32.3% total area, respectively, 0.9%, 25.4%, 43.9%, 29.9%, SSLM. Consequently, qualified promising for sustainable agriculture when appropriate applied. rates had strong positive correlation (r = 0.97 0.98, respectively), rates, well relationship linear regression (R2 0.94 0.97, respectively). present attempt adopt compute map erosion. It also pointed out designing spatial available data sources integration viable option calculating rates. Therefore, fit assessing valid use other studies arid regions same