Abstract
The soil erosion is the most serious environmental problem in watershed areas in Turkey. The main factors affecting the amount of soil erosion include vegetation cover, topography, soil, and climate. In order to describe the areas with high soil erosion risks and to develop adequate erosion prevention measures in the watersheds of dams, erosion risk maps should be generated considering these factors. Remote Sensing (RS) and Geographic Information System (GIS) technologies were used for erosion risk mapping in Kartalkaya Dam Watershed of Kahramanmaras, Turkey, based on the methodology implemented in COoRdination of INformation on the Environment (CORINE) model. ASTER imagery was used to generate a land use/cover classification in ERDAS Imagine. The digital maps of the other factors (topography, soil types, and climate) were generated in ArcGIS v9.2, and were then integrated as CORINE input files to produce erosion risk maps. The results indicate that 33.82%, 35.44%, and 30.74% of the study area were under low, moderate, and high actual erosion risks, respectively. The CORINE model integrated with RS and GIS technologies has great potential for producing accurate and inexpensive erosion risk maps in Turkey.
Highlights
Throughout the world water consumption is increasing more rapidly than the human population and has raised the socioeconomic and strategic importance of water resources
To determine the erosion risks and qualities of the lands in the countries of European Union (EU), COoRdination of INformation on the Environment (CORINE) model was developed based on Universal Soil Loss Equation (USLE) [23] which is wellknown methodology in soil erosion prediction studies
To accelerate future collaboration in watershed management between Turkey and EU, generating soil erosion risk maps based on the methodology used in CORINE model is crucial
Summary
Throughout the world water consumption is increasing more rapidly than the human population and has raised the socioeconomic and strategic importance of water resources. To determine the erosion risks and qualities of the lands in the countries of European Union (EU), CORINE model was developed based on Universal Soil Loss Equation (USLE) [23] which is wellknown methodology in soil erosion prediction studies. To accelerate future collaboration in watershed management between Turkey and EU, generating soil erosion risk maps based on the methodology used in CORINE model is crucial. RS and GIS technologies to develop soil erosion risk mapping for the Kartalkaya Dam Watershed in Kahramanmaras, Turkey, based on the CORINE model methodology. The input files for the other erosion factors (i.e. topography, soil types, and climate) were generated as GIS data layers and integrated into the CORINE model to produce erosion risk maps
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