Soil erosion risk assessment using GIS and CORINE model: a case study from western Shiraz, Iran

2016 ◽  
Vol 63 (8) ◽  
pp. 1163-1175 ◽  
Author(s):  
Mohboobeh Tayebi ◽  
Mohammad H. Tayebi ◽  
Abdolmajid Sameni
Keyword(s):  
Risk Assessment ◽  
Soil Erosion ◽  
Erosion Risk ◽  
Soil Erosion Risk

scholarly journals Erosion Modelling In A Mediterranean Subcatchment Under Climate Change Scenarios Using Pan-European Soil Erosion Risk Assessment (PESERA)

2015 ◽  
Vol XL-7/W3 ◽  
pp. 359-365 ◽  
Author(s):  
A. Cilek ◽  
S. Berberoglu ◽  
M. Kirkby ◽  
B. Irvine ◽  
C. Donmez ◽  
...  
Keyword(s):  
Climate Change ◽  
Risk Assessment ◽  
Land Use ◽  
Soil Erosion ◽  
Mediterranean Region ◽  
Geographical Information ◽  
Climate Change Scenarios ◽  
Erosion Risk ◽  
Soil Erosion Risk ◽  
The Mediterranean

The Mediterranean region is particularly prone to erosion. This is because it is subject to long dry periods followed by heavy bursts of erosive rainfall, falling on steep slopes with fragile soils, resulting in considerable amounts of erosion. In parts of the Mediterranean region, erosion has reached a stage of irreversibility and in some places erosion has practically ceased because there is no more soil left. With a very slow rate of soil formation, any soil loss of more than 1 t ha<sup>−1</sup> yr<sup>−1</sup> can be considered as irreversible within a time span of 50-100 years. The objectives of this study were i) to estimate the temporal and spatial distribution of soil erosion under climate change scenarios in study area ii) to assess the hydrological runoff processes. <br><br> In this study, climate data, land use, topographic and physiographic properties were assembled for Egribuk Subcatchment at Seyhan River Basin in Turkey and used in a process-based Geographical Information System (GIS) to determine the hydrological sediment potential and quantify reservoir sedimentation. The estimated amount of sediment transported downstream is potentially large based on hydrological runoff processes using the Pan-European Soil Erosion Risk Assessment (PESERA) model. The detailed model inputs included 128 variables derived mainly from, soil, climate, land use/cover, topography data sets. The outcomes of this research were spatial and temporal distribution of erosion amount in t ha<sup>−1</sup> yr<sup>−1</sup> or month<sup>−1</sup>.

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