Soil Erosion Assessment for the Eastern Part of Daquq District (Chai River Sides) Using a Rusle Model-Based GIS

Soil erosion therefore poses as one of the severest environmental problems as it takes away with it the toiled and enriched layer of soil hence threatening crop and food production, and land productivity. The conditions such as high intensity rainfall or high relief however may make soil erosion more accentuated and therefore one would require adopting techniques and/or tools for Use advanced geospatial technologies to assess and Accurately map soil and water erosion risks in the Dakuk Chai basin. Integrating environmental factors: Incorporates dynamic environmental variables, involving land use patterns, climate change and terrain atterbuites, to deliver a wide-ranging understanding of soil erosion. In this research, the RUSLE model was utilized to assess the rate of soil erosion on the sides of what is known as the Chai River in Daquq town, Kirkuk, Iraq. In 2015, the highest soil erosion class over the study area was 0.010847 km2, while the low soil erosion class had large areas of 29.31882 km2. In addtion, in 2024, the very high soil erosion class covered approximately 0.01454 km2, and the low soil erosion class occupied 29.4398 km2 of the study area. Through this research, a deeper understanding of the phenomenon of soil erosion in Daquq was provided, which contributes to directing efforts towards protecting the environment and promoting sustainable development in Kirkuk. Overall, the results specified a significant concern regarding soil erosion within the complex area, warranting prompt attention from relevant authorities.

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Publication Details

Journal
International Journal of Computational and Experimental Science and Engineering
Published
2025-03-13
DOI
https://doi.org/10.22399/ijcesen.1187
Primary Topic
Soil erosion and sediment transport
Type
article
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article

Soil Erosion Assessment for the Eastern Part of Daquq District (Chai River Sides) Using a Rusle Model-Based GIS

Qahtan A.M. Al Nuaimy, Mustafa Ridha Mezaal, Zainab Omran Abdulrahan
International Journal of Computational and Experimental Science and Engineering
Soil erosion and sediment transport
article

Soil Erosion Assessment for the Eastern Part of Daquq District (Chai River Sides) Using a Rusle Model-Based GIS

Qahtan A.M. Al Nuaimy, Mustafa Ridha Mezaal, Zainab Omran Abdulrahan
article en

Abstract

Soil erosion therefore poses as one of the severest environmental problems as it takes away with it the toiled and enriched layer of soil hence threatening crop and food production, and land productivity. The conditions such as high intensity rainfall or high relief however may make soil erosion more accentuated and therefore one would require adopting techniques and/or tools for Use advanced geospatial technologies to assess and Accurately map soil and water erosion risks in the Dakuk Chai basin. Integrating environmental factors: Incorporates dynamic environmental variables, involving land use patterns, climate change and terrain atterbuites, to deliver a wide-ranging understanding of soil erosion. In this research, the RUSLE model was utilized to assess the rate of soil erosion on the sides of what is known as the Chai River in Daquq town, Kirkuk, Iraq. In 2015, the highest soil erosion class over the study area was 0.010847 km2, while the low soil erosion class had large areas of 29.31882 km2. In addtion, in 2024, the very high soil erosion class covered approximately 0.01454 km2, and the low soil erosion class occupied 29.4398 km2 of the study area. Through this research, a deeper understanding of the phenomenon of soil erosion in Daquq was provided, which contributes to directing efforts towards protecting the environment and promoting sustainable development in Kirkuk. Overall, the results specified a significant concern regarding soil erosion within the complex area, warranting prompt attention from relevant authorities.

International Journal of Computational and Experimental Science and EngineeringVol. 11(1)
Northern Technical University (IQ)
Openalex Percentile: Top 94%
Soil erosion and sediment transport
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Soil Erosion Assessment for the Eastern Part of Daquq District (Chai River Sides) Using a Rusle Model-Based GIS — Qahtan A.M. Al Nuaimy, Mustafa Ridha Mezaal, et al. · International Journal of Computational and Experimental Science and Engineering (2025) | TGRS Research Map | TGRS