Erosion Modelling In A Mediterranean Subcatchment Under Climate Change Scenarios Using Pan-European Soil Erosion Risk Assessment (PESERA)
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 reach...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2015-04-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W3/359/2015/isprsarchives-XL-7-W3-359-2015.pdf |
| Summary: | 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.
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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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| ISSN: | 1682-1750 2194-9034 |