Evaluation of soil erosion in Northern Algeria watershed using SWAT and RUSLE models

Salhi, Chahrazed; Touaibïa, Bénina; Zeroual, Ayoub; Benblida, Nadjia; Assani, Ali A.

doi:10.1080/10106049.2022.2060314

Cited by 3 publications

(1 citation statement)

References 55 publications

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“…Apart from the frequent fire outbreaks, the humid climate during the winters in these regions has led to serious erosion problems. The National Agency for Soil Conservation reported that approximately 40% of the land in the northern region of Algeria is exposed to erosion due to a lack of vegetation cover, deforestation, and human activities [24]. The heavy rainfall during the winter season exacerbates the erosion problem, leading to a loss of soil fertility and a reduction in agricultural productivity.…”

Section: Study Areamentioning

confidence: 99%

Sentinel-2 data classification for land use land cover mapping in northern Algeria

Zikiou,

Rushmeier

2023

Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXIX

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The study of land use and land cover (LULC) changes is essential to understand the impact of human activities on the environment. The North of Algeria is a region that experiences high rates of change in LULC, making it a suitable study area. In this research, the potential of Sentinel-2 attributes for LULC classification in this region is evaluated using a deep learning-based approach. To improve the efficiency of the model, six reflectance-based indices are calculated to highlight the region of interest. The results are compared to the USGS land cover change data and show promising LULC change detection. In order to verify the presence of missed classes in our land use/land cover classification results, we employed a CNN-object detection method using high-resolution Planetscope images. This study demonstrates the potential of Sentinel-2 attributes for accurate LULC classification and change detection in the North of Algeria, which can be useful for monitoring land use patterns and planning sustainable land management practices.

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Section: Study Areamentioning

confidence: 99%

Sentinel-2 data classification for land use land cover mapping in northern Algeria

Zikiou,

Rushmeier

2023

Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXIX

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Mapping the Potential for Erosion Gullies Using Frequency Ratio and Fuzzy Analytical Hierarchy Process: Case Study Medjerda Basin, Northeast Algeria

Mrad,

Boukhari,

Dairi

et al. 2024

Eurasian Soil Sc.

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Modeling the sediment yield and estimating the best management practices in the Seybouse basin, Northeastern Algeria

Mrad,

Boukhari,

Dairi

et al. 2024

Water Science &Amp; Technology

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Identifying vulnerable areas to erosion within the watershed and implementing best management practices (BMPs) are crucial steps in mitigating watershed degradation by minimizing sediment yields. The present study evaluates and identifies the BMPs in the Seybouse basin, northeastern Algeria, using the Soil and Water Assessment Tool (SWAT) model. After successful calibration and validation, the model demonstrated a satisfactory ability to simulate monthly discharge and sediment. Then, the calibrated model was employed to evaluate the efficacy of diverse management practices in sediment control. In the SWAT, three soil and conservation practices, as well as vegetated filter strips (VFSs), grade stabilization structures (GSSs), and terracing were evaluated. The average annual sediment yield in the Seybouse watershed is determined to be 14.43 t/ha year, constituting 71% of the total soil loss. VFS demonstrated a sediment reduction of 37.30%, GSS 20.40%, and terracing 42.30%. Among these strategies, terracing results in the greatest reduction, followed by VFS. The results of this study area can be useful for informed decision-making regarding optimal watershed management strategies.

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Evaluation of soil erosion in Northern Algeria watershed using SWAT and RUSLE models

Cited by 3 publications

References 55 publications

Sentinel-2 data classification for land use land cover mapping in northern Algeria

Sentinel-2 data classification for land use land cover mapping in northern Algeria

Mapping the Potential for Erosion Gullies Using Frequency Ratio and Fuzzy Analytical Hierarchy Process: Case Study Medjerda Basin, Northeast Algeria

Modeling the sediment yield and estimating the best management practices in the Seybouse basin, Northeastern Algeria

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