Abstract
Abstract
Water erosion is one of the most important problems and challenges facing the optimal management of natural resources, especially soil and water resources, because of its impact on soil degradation. This study aimed to classify the risk of soil water erosion and clarify its distribution in the Shwan Basin in Kirkuk Governorate - Iraq based on the Corine model.In the first stage of the work, the soil erodibilty, erosivity and slope factors were determined, classified and mapped according to the degree of their impact on soil erosion.The potential soil erosion risk map was prepared using Arc GIS 10.4.1.In the second stage, the land cover factor was calculated and classified according to the degree of protection. In the last stage, the actual soil erosion risk map was prepared by multiplying the class of land cover with the map of potential soil erosion risk over the entire study area.The study showed that 28.18% of the studied area is classified under a high risk, 39.57% represents as a medium risk and 32.25% is a low risk .The areas of severe soil erosion risk were concentrated in the southwestern part and some northern and central parts, and the areas of medium risk were concentrated in the northern, central and southern parts, while regarding the low actual risk, they were concentrated in the western parts and in random areas in the center and east of the study area.The results also showed that the Corine model for soil water erosion risk mapping is a highly effective and cost-effective approach.
Reference24 articles.
1. Temporal soil erosion risk evaluation: a CORINE methodology application at Elmali dam watershed Istanbul;Aydin;Environmental Earth Sciences,2010
2. Management of irrigated soil by rotary sprinklers using remote sensing techniques.;AlJawwadi;Kirkuk University Journal for Agricultural Sciences,2022
3. Evaluation of WEPP Runoff and Soil Loss Predictions Using Natural Runoff Plot Data;Zhang;Transaction of The ASAE,1996
4. Water Erosion Prediction Progect (WEPP): Development History, Model Capabilities, and Future Enhancements;Flanagan;American Society of Agricultural and Biological Engineers,2007