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Soil Erosion Estimation of Mohmand Dam Watershed Using Geo-spatial Techniques in KPK, Pakistan
Abstract Soil degradation is a significant global problem for multiple infrastructures with negative commercial and ecological influences. The loss of productive soil is frequently triggered by surficial land depletion, farming escalation, erosion, and poor anthropogenic land-use practices. In watershed analyses, estimating soil erosion is useful for future planning and development. It is also important in designing hydropower projects as it yields sedimentation influx in the dam reservoirs. The manual assessment of soil loss is always challenging due to serious safety issues and limited resources; therefore, Geographical Information System and Remote sensing techniques are considered the best tools for this purpose. Current research applies an empirical method, namely the Revised Universal Soil Loss Equation model, to compute the Mohmand Dam watershed soil loss represented by A in tonnes per hectare per year. The parameters of the RUSLE model are empirically calculated using a raster calculator, and the final map shows an aggregated impact on soil loss. The study revealed that the maximum annual soil loss of the study area was approximately 30–1913 tonnes $ h^{−1} $ $ year^{−1} $ which covers only 1.5% of the total watershed area. However, the frequent erosion values lie between 0 and 10 tonnes $ h^{−1} $ $ year^{−1} $. The soil loss is almost negligible in 75% of the Watershed, less than 5 tons $ h^{−1} $ $ year^{−1} $. This comprises about 11179.22 sq. km or 2,762,440 acres area of the Watershed. This study revealed that the area is not hazardously prone to soil erosion with a low sedimentation rate indicating a prolonged storing capacity.
Soil Erosion Estimation of Mohmand Dam Watershed Using Geo-spatial Techniques in KPK, Pakistan
Abstract Soil degradation is a significant global problem for multiple infrastructures with negative commercial and ecological influences. The loss of productive soil is frequently triggered by surficial land depletion, farming escalation, erosion, and poor anthropogenic land-use practices. In watershed analyses, estimating soil erosion is useful for future planning and development. It is also important in designing hydropower projects as it yields sedimentation influx in the dam reservoirs. The manual assessment of soil loss is always challenging due to serious safety issues and limited resources; therefore, Geographical Information System and Remote sensing techniques are considered the best tools for this purpose. Current research applies an empirical method, namely the Revised Universal Soil Loss Equation model, to compute the Mohmand Dam watershed soil loss represented by A in tonnes per hectare per year. The parameters of the RUSLE model are empirically calculated using a raster calculator, and the final map shows an aggregated impact on soil loss. The study revealed that the maximum annual soil loss of the study area was approximately 30–1913 tonnes $ h^{−1} $ $ year^{−1} $ which covers only 1.5% of the total watershed area. However, the frequent erosion values lie between 0 and 10 tonnes $ h^{−1} $ $ year^{−1} $. The soil loss is almost negligible in 75% of the Watershed, less than 5 tons $ h^{−1} $ $ year^{−1} $. This comprises about 11179.22 sq. km or 2,762,440 acres area of the Watershed. This study revealed that the area is not hazardously prone to soil erosion with a low sedimentation rate indicating a prolonged storing capacity.
Soil Erosion Estimation of Mohmand Dam Watershed Using Geo-spatial Techniques in KPK, Pakistan
Imran, Muhammad (author) / Sanaullah, Muhammad (author) / Ahmad, Usman (author) / Ahmed, Luqman (author)
2023
Article (Journal)
Electronic Resource
English
BKL:
57.00$jBergbau: Allgemeines
/
38.58
Geomechanik
/
57.00
Bergbau: Allgemeines
/
56.20
Ingenieurgeologie, Bodenmechanik
/
38.58$jGeomechanik
/
56.20$jIngenieurgeologie$jBodenmechanik
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