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Soil Erosion Risk Assessment in The Niğde Using Corine Model

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Soil erosion risk was calculated using the coordination of information on the environment (CORINE) model in this study. The aim of the study is to determine the soil erosion risk of Niğde province, taking into account soil properties, slope and land use. Potential (PSER) and actual soil erosion risks (ASER) were determined using factors which were soil properties, slope, climatic factors, and land cover data. Data were produced using Arc-GIS 10.3 software, and results were obtained on these maps. 34.72% of the soils were classified as moderately actual soil erosion risk, which located in the eastern and southeast part of the study area.51.66% and 13.62% of the soils were classified as low and high actual soil erosion risk, respectively. Areas which have low actual soil erosion risk are located in the middle part, and areas which have high actual soil erosion risk are located in the northwest part of the area. The areas which were categorized as low potential soil erosion risk were increased from 23.52% to 51.66% in the actual soil erosion risk, after combining the land cover map. On the other hand, the total areas classified as high and moderate actual soil erosion risk decreased from 76.48% to 48.34% in the actual soil erosion risk due to land cover types. Soil texture, land cover, and slope are the most important factors that affect erosion risk. This study indicated that the CORINE model integrated with GIS (Geographic Information Systems) and RS (Revised Universal Soil Loss Equation) has a very effective and accurate potential for soil erosion risk assessment.
Title: Soil Erosion Risk Assessment in The Niğde Using Corine Model
Description:
Soil erosion risk was calculated using the coordination of information on the environment (CORINE) model in this study.
The aim of the study is to determine the soil erosion risk of Niğde province, taking into account soil properties, slope and land use.
Potential (PSER) and actual soil erosion risks (ASER) were determined using factors which were soil properties, slope, climatic factors, and land cover data.
Data were produced using Arc-GIS 10.
3 software, and results were obtained on these maps.
34.
72% of the soils were classified as moderately actual soil erosion risk, which located in the eastern and southeast part of the study area.
51.
66% and 13.
62% of the soils were classified as low and high actual soil erosion risk, respectively.
Areas which have low actual soil erosion risk are located in the middle part, and areas which have high actual soil erosion risk are located in the northwest part of the area.
The areas which were categorized as low potential soil erosion risk were increased from 23.
52% to 51.
66% in the actual soil erosion risk, after combining the land cover map.
On the other hand, the total areas classified as high and moderate actual soil erosion risk decreased from 76.
48% to 48.
34% in the actual soil erosion risk due to land cover types.
Soil texture, land cover, and slope are the most important factors that affect erosion risk.
This study indicated that the CORINE model integrated with GIS (Geographic Information Systems) and RS (Revised Universal Soil Loss Equation) has a very effective and accurate potential for soil erosion risk assessment.

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