Soil Erosion Assessment Using the RUSLE Model, Remote Sensing, and GIS in the Shatt Al-Arab Basin (Iraq-Iran)

In the Shatt Al-Arab basin, soil erosion is a major problem due to the steepness of the terrain and the significant difference in altitude between the upstream and downstream parts of the basin. Vast quantities of soil are moved annually, resulting in massive repercussions including soil degradation, structural damage, biodiversity loss, and productivity reduction in the catchment area, huge sediment load, and the pollution of streams and rivers. Consequently, the assessment of soil erosion risk and geographical distribution is essential for constructing a database for developing effective control strategies. Revised Universal Soil Loss Equation (RUSLE) was combined with Remote Sensing (RS) and Geographic Information System (GIS) in the current work to define the soil erosion hazard map in the Shatt Al-Arab basin. The RUSLE model included various characteristics for soil erosion zonation including rainfall erosivity, soil erodibility, slope length and steepness, land cover and management, and conservation support practices. Annual erosion rates in this study in tons per hectare were: extremely high (more than 50); very high (50 to 16.5); high (16.5 to 2.2); medium (2.2 to 1); and low (1 to 0) ton ha(-1)year(-1) representing 16, 4, 13, 7, and 60 % of the basin's area, respectively. The high soil loss rates are associated with heavy rainfall, loamy soil predominance, elevated terrains/plateau borders with a steep side slope, and intensive farming. Managers and policymakers may use the results of this study to implement adequate conservation programs to prevent soil erosion or recommend soil conservation acts if development projects are to proceed in places with a high soil erosion risk.

Automated summary

Soil erosion in the Shatt Al-Arab basin is a significant issue with vast quantities of soil moved annually, leading to soil degradation, structural damage, loss of biodiversity, and reduced productivity. The study used the Revised Universal Soil Loss Equation (RUSLE) integrated with Remote Sensing (RS) and Geographic Information System (GIS) to define soil erosion hazard maps in the basin, revealing high soil loss rates associated with heavy rainfall, loamy soil predominance, elevated terrains, and intensive farming. Management and policy recommendations based on these findings could help prevent soil erosion and implement conservation programs in high-risk areas.