Extraction of soils affected by erosion processes from topographic indicators of the northern basins feeding the Khabur River using RS and GIS

Authors

  • Talib Atshan Mujifi, Prof. Dr. Ali Majeed Yassin Author

DOI:

https://doi.org/10.7492/ckd3px76

Keywords:

Topographic Indicators, Topographic Roughness Index (TRI), River Sediment Transport Capacity Index (STI), River Power Index (SPI), Topographic Position Index (TPI)

Abstract

Topographical characteristics such as elevation, regression, sediment type and geological formations, as well as soil types and characteristics, affect the degree to which
the soil is exposed to erosion risks. As a result of the study area being located in a region with a complex geological and topographical formation, the soils there are
exposed to processes of erosion, transport and deposition due to the variation in their natural characteristics, causing several problems, most notably soil erosion and
environmental risks. Therefore, the spatial relationships between these natural factors will be found and models of soil types will be prepared according to their physical
and chemical properties. The ability of basins to withstand river erosion and then transport sediments will be determined in order to improve integrated environmental
management processes.Soils affected by erosion were identified using topographic indicators, specifically the SPI (Saturation Intensity Index), the TRI (Top Roughness
Index), and the STI (Soil Transport Intensity Index). The relationship between topography and water catchment was also examined using the TPI (Topographic Location
Index).This research aims to achieve integrated soil management and water resource development by mitigating erosion risks. It utilizes GIS and RS (Resource
Surveying) techniques to determine the spatial distribution of soils affected by water erosion in the northern basins feeding the Khabur River.

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Published

1990-2026

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Section

Articles

How to Cite

Extraction of soils affected by erosion processes from topographic indicators of the northern basins feeding the Khabur River using RS and GIS. (2026). MSW Management Journal, 36(2), 238-244. https://doi.org/10.7492/ckd3px76