Estimating soil erosion utilizing geospatial method and revised universal soil loss equation (RUSLE) of Abu Ghraibat Watershed, Eastern Misan Governorate, IraqShow others and affiliations
2025 (English)In: Scientific Reports, E-ISSN 2045-2322, Vol. 15, article id 44422
Article in journal (Refereed) Published
Abstract [en]
This study examined the synergistic and independent effects of soil properties, vegetation cover, conservation practices, and slope on the spatial distribution characteristics of soil erosion in the Abu-Ghraibat watershed in 2024. Soil samples have been collected and analyzed in the laboratory, along with high-resolution satellite imagery, meteorological data, and digital elevation model (DEM) data. The findings indicate that soil erosion in the Abu-Ghraibat watershed in 2024 was minimal, with a progressively increasing severity from north to south. In the studied area, grassland accounts for over 50% of soil erosion, with regions with vegetation coverage > 30% as the primary contributors, all of which are influenced by slope. Moreover, the enhancement of vegetation in the lower strata of the basin and in grasslands, especially on slopes ranging from 10° to 45°, along with the conversion of sloping woodlands and grasslands into terraces, has proven an effective strategy for mitigating soil erosion in the Abu-Ghraibat watershed. The present study has demonstrated that the RUSLEGIS integrated model may serve as an effective instrument for quantitatively and spatially mapping soil erosion at the watershed level in the Abu-Ghraibat, while accounting for the provision of landscape services.
Place, publisher, year, edition, pages
Springer Nature, 2025. Vol. 15, article id 44422
Keywords [en]
Geohazards, Soil degradation, GIS, RUSLE, Abu ghraibat watershed
National Category
Geotechnical Engineering and Engineering Geology
Research subject
Soil Mechanics
Identifiers
URN: urn:nbn:se:ltu:diva-115881DOI: 10.1038/s41598-025-33403-xPubMedID: 41444819Scopus ID: 2-s2.0-105025825228OAI: oai:DiVA.org:ltu-115881DiVA, id: diva2:2024999
Note
Full text license: CC BY
2026-01-022026-01-022026-01-15