Soil erosion risk assessment in the natural and planted forests using ICONA model and GIS technique

2021 ◽  
Author(s):  
H. Esmaeili Gholzom ◽  
H. Ahmadi ◽  
A. Moeini ◽  
B. Motamedvaziri
Keyword(s):  
Risk Assessment ◽  
Soil Erosion ◽  
Planted Forests ◽  
Erosion Risk ◽  
Soil Erosion Risk ◽  
Gis Technique

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>.

scholarly journals Soil erosion risk assessment in the Chaleleka wetland watershed, Central Rift Valley of Ethiopia

2015 ◽  
Vol 4 (1) ◽  
Author(s):  
Kebede Wolka ◽  
Habitamu Tadesse ◽  
Efrem Garedew ◽  
Fantaw Yimer
Keyword(s):  
Risk Assessment ◽  
Soil Erosion ◽  
Rift Valley ◽  
Erosion Risk ◽  
Soil Erosion Risk

Soil erosion risk assessment of the Keiskamma catchment, South Africa using GIS and remote sensing

2011 ◽  
Vol 65 (7) ◽  
pp. 2087-2102 ◽  
Author(s):  
Paidamwoyo Mhangara ◽  
Vincent Kakembo ◽  
Kyoung Jae Lim
Keyword(s):  
South Africa ◽  
Remote Sensing ◽  
Risk Assessment ◽  
Soil Erosion ◽  
Gis And Remote Sensing ◽  
Erosion Risk ◽  
Soil Erosion Risk

A pragmatic approach for soil erosion risk assessment within policy hierarchies

2010 ◽  
Vol 27 (4) ◽  
pp. 997-1009 ◽  
Author(s):  
Martin Volk ◽  
Markus Möller ◽  
Daniel Wurbs
Keyword(s):  
Risk Assessment ◽  
Soil Erosion ◽  
Pragmatic Approach ◽  
Erosion Risk ◽  
Soil Erosion Risk

scholarly journals Terrain Characterization and Soil Erosion Risk Assessment for Watershed Prioritization Using Remote Sensing and GIS (A case study of Nawagaon Maskara Rao Watershed, Saharanpur, India)

2009 ◽  
Vol 23 (1) ◽  
pp. 86
Author(s):  
Beny Harjadi
Keyword(s):  
Remote Sensing ◽  
Risk Assessment ◽  
Land Use ◽  
Soil Erosion ◽  
Soil Conservation ◽  
Soil Loss ◽  
Remote Sensing And Gis ◽  
Erosion Risk ◽  
Soil Erosion Risk ◽  
Conservation Measures

Soil erosion is crucial problem in India where more than 70% of land in degraded. This study is to establish conservation priorities of the sub watersheds across the entire terrain, and suggest suitable conservation measures. Soil conservation practices are not only from erosion data both qualitative SES (Soil Erosion Status) model and quantitative MMF (Morgan, Morgan and Finney) model erosion, but we have to consider LCC (Land Capability Classification) and LULC (Land Use Land Cover). Study demonstrated the use of RS (Remote Sensing) and GIS (Geographic Information System) in soil erosion risk assessment by deriving soil and vegetation parameters in the erosion models. Sub-watersheds were prioritized based on average soil loss and the area falls under various erosion risk classes for conservation planning. The annual rate of soil loss based on MMF model was classified into five soil erosion risk classes for soil conservation measures. From 11 sub watersheds, for the first priority of the watershed is catchment with the small area and the steep slope. Recommendation for steep areas (classes VI, VII, and VIII) land use allocation should be made to maintain forest functions.

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