Assessing and mapping water erosion-prone areas in northeastern Algeria using analytic hierarchy process, USLE/RUSLE equation, GIS, and remote sensing

Mihi, Ali; Benarfa, Noureddine; Arar, Abdelkrim

doi:10.1007/s12518-019-00289-0

Cited by 42 publications

(15 citation statements)

References 40 publications

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“…The area of high wind erosion hazard occurs mainly at the plane morphologies, which is characterized by scattered steppe plant communities, such as chamaephytic (represented by Artemisia herba-alba Asso, Artemisia campestris L), and halophytic (dominated by Atriplex halimus L and Salsola vermiculata L), (Mihi et al, 2020). Unfortunately, since the early 1980s, steppe vegetation have witnessed a drastic regression, as result of overgrazing, drought (dry climate), and extent of dryland farming (Bensaïd, 2006).…”

Section: Discussionmentioning

confidence: 99%

“…Six main soil types are distinguished in the study area-calcic, calcareous, basic alluvial, saline soil, and aeolian soil of ablation. The lithological formations can be subdivided into four groups according to their friability-very resistant materials (limestone and dolomite); resistant materials (Friable limestone); vulnerable materials (marls, conglomerates, and sandstone); and very vulnerable materials (alluvium, alluvium sand, and limestone crust) (Mihi et al, 2020).…”

Section: Study Areamentioning

confidence: 99%

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Assessing and mapping wind erosion-prone areas in northeastern Algeria using additive linear model, AHP, FAHP approaches, GIS, and medium resolution multisource remotely sensed data

Mihi

Benaradj

2021

Preprint

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Wind erosion is one of the most severe environmental problems in arid, semi-arid and dry sub-humid regions of the planet. This dissertation aimed to identify areas sensitive to wind erosion in northeastern Algeria (Wilaya of Tebessa) based on empirical model using analytic hierarchy process (AHP), fuzzy analytic hierarchy process (FAHP) approaches, and geomatics-based techniques. Sixteen causative factors were used incorporating meteorological, soil erodibility, physical environment, and anthropogenic impacts as main available inputs in this approach. Weighted linear combination (WLC) algorithm was used to combine all standardized raster layers. Area under curve (AUC) value equal 0.96 indicate an excellent accuracy for the proposed approach. Globally, wind erosion risk increase gradually from the north to south of the whole area. Besides, it was found that areas with slight, moderate, high, and very high covered 9.65 %, 25.83 %, 24.30 %., and 40.22 %, respectively of the total. Our results highlighted the potential of additive linear model, and free available medium resolution multi-source remote sensing data in studying natural hazards and disasters mainly under data-scarce or areas of difficult access in developing countries. In addition, restoration and re-vegetation activities of sensitive areas at high risk of wind erosion represent a challenge for researchers and decision-makers.

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Section: Discussionmentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

Assessing and mapping wind erosion-prone areas in northeastern Algeria using additive linear model, AHP, FAHP approaches, GIS, and medium resolution multisource remotely sensed data

Mihi

Benaradj

2021

Preprint

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“…Faktor yang menyebabkan terjadinya erosi adalah geologi, geomorfologi, kondisi hidroklimat, dan aktivitas manusia (Mihi et al, 2020). Representasi akurat dari permukaan bumi mempunyai peran penting dalam pemodelan erosi tanah (Efthimiou et al, 2020).…”

Section: Pendahuluanunclassified

Estimasi Tingkat Bahaya Erosi dengan Menggunakan Metode USLE Pada Daerah Aliran Sungai (DAS) Amandit

et al. 2021

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Abstrak: Erosi tanah menjadi semakin meningkat setiap tahun yang disebabkan oleh terjadinya peningkatan kerusakan lahan. Daerah Aliran Sungai (DAS) Amandit mengalami kerusakan lahan yang ditandai dengan luasnya lahan kritis pada DAS tersebut yang akan berpengaruh pada tingginya tingkat bahaya erosi pada DAS tersebut. Penelitian ini bertujuan untuk menganalisis tingkat bahaya erosi yang terjadi pada Daerah Aliran Sungai (DAS) Amandit. Penelitian ini menggunakan peta bentuklahan sebagai dasar pengambilan sampel. Jumlah sampel dalam penelitian ini adalah 18 buah sampel. Analisa data yang digunakan adalah berdasarkan Metode Universal Soil Loss Equation (USLE) yang digunakan untuk mengetahui tingkat bahaya erosi yang terjadi pada wilayah penelitian. Hasil penelitian menunjukkan tingkat bahaya erosi yang terjadi di Daerah Aliran Sungai (DAS) Amandit termasuk dalam klasifikasi berat-sangat berat. Tingkat bahaya erosi yang paling tinggi adalah 1276.535 ton/ha/tahun. Faktor yang dominan yang mengakibatkan tingkat bahaya erosi pada Daerah Aliran Sungai (DAS) Amandit termasuk dalam klasifikasi berat-sangat berat adalah kemiringan lereng, nilai erodibilitas yang tinggi, dan tutupan lahan. Kata Kunci: Tingkat Bahaya Erosi (TBE), Bentuklahan, USLE, DAS Amandit Abstract: Soil erosion is increasing every year due to increased land degradation. The Amandit Watershed has suffered damage which affects critical land in the watershed which will affect the level of erosion hazard in the watershed. This study aims to analyze the level of erosion that occurs in the Amandit Watershed. This study uses a landform map as a basis for sampling. The number of samples in this study were 18 samples. The data analysis used is based on the Universal Soil Loss Equation (USLE) method which is used to see the level of erosion hazard that occurs in the study area. The results showed that the level of erosion that occurred in the Amandit Watershed was classified as heavy-very heavy. The highest level of erosion was 1276.535 ton/ha/year. The dominant factors resulting in the level of erosion in the watershed (DAS) included in the weight-very weight classification are the slope of the slope, high erodibility values and land cover. Keywords: Erosion Hazard Level, Landform, USLE, Amandit Watershed

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“…Currently, the universal soil loss equation (USLE) [22] and revised USLE (RUSLE) [23] are the most widely applied soils erosion prediction models in the world (have been applied in 109 countries) and under many different conditions. It has been most often applied for over 80 years due to its robustness, simplicity, high degree of flexibility, accuracy and accessibility of data [24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

Assessment and Mapping Soil Water Erosion Using RUSLE Approach and GIS Tools: Case of Oued el-Hai Watershed, Aurès West, Northeastern of Algeria

Bensekhria

Bouhata

2022

IJGI

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The problem of soil water erosion is one of the primary causes of agro-pedological heritage degradation. The combined effect of natural factors and inappropriate human actions has weakened the soil, which seriously threatens the region’s fertile lands and soils, which can ultimately lead to an irreversible situation of desertification. This study focuses on analysis and mapping of the vulnerability to erosion in Oued el-Hai watershed, Algeria, based on a technical methodology that combines the universal soil loss equation (USLE) with the geographic information system (GIS) tools. The results are organized into three main classes of different rate values, from one area to another, depending on the influence of different factors that control the erosion process. The highest loss rate value is greater than 30 t·ha−1·yr−1 and covers 23.2% of the total area, mainly located in the mountainous areas with steep slopes. However, the minimum potential erosion rate value is mainly located on the plain, with an average of 10 t·ha−1·yr−1 covering 45.2% of the total area of the watershed. The estimate of potential water erosion has given alarming results. The total area of the watershed could lose a rate of 16.69 t·ha−1·yr−1 (on average) each year. The method and results described in this article are valuable for understanding the soil erosion risk and are useful for managing and planning land use that will avoid land degradation. Hence, the results of this study are considered an important document which constitutes a decision support tool in terms of the management and protection of natural resources.

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Assessing and mapping water erosion-prone areas in northeastern Algeria using analytic hierarchy process, USLE/RUSLE equation, GIS, and remote sensing

Cited by 42 publications

References 40 publications

Assessing and mapping wind erosion-prone areas in northeastern Algeria using additive linear model, AHP, FAHP approaches, GIS, and medium resolution multisource remotely sensed data

Assessing and mapping wind erosion-prone areas in northeastern Algeria using additive linear model, AHP, FAHP approaches, GIS, and medium resolution multisource remotely sensed data

Estimasi Tingkat Bahaya Erosi dengan Menggunakan Metode USLE Pada Daerah Aliran Sungai (DAS) Amandit

Assessment and Mapping Soil Water Erosion Using RUSLE Approach and GIS Tools: Case of Oued el-Hai Watershed, Aurès West, Northeastern of Algeria

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