Rainfall erosivity and sediment yield in Northeast Algeria: K’sob watershed case study

Guesri, Mourad; Megnounif, Abdesselam; Ghenim, Abderrahmane Nekkache

doi:10.1007/s12517-020-5276-1

Cited by 12 publications

(2 citation statements)

References 60 publications

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“…The erosivity factor I in the USLE equation is derived from the rainfall-run off relationship. It is considered as a driver of soil erosion processes (Guesri et al 2020). The R factor represents the effect of raindrops impact.…”

Section: Erosivity Factor Imentioning

confidence: 99%

Estimation of soil losses using RUSLE model and GIS tools: Case study of the Mellah catchment, Northeast of Algeria

Bouzeria¹,

Abderrahmane²,

Kanchoul³

et al. 2021

RRIC/RJCE

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Land and water are two most vital natural resources of the world and hence these resources must be conserved carefully to protect environment and maintain ecological balance. Estimation of soil erosion is one of the prerequisites for conservation and management of water resources and watersheds. The present study was carried out to predict soil erosion in the Mellah catchment, northeastern Algeria. Due to the importance of the water resources of this watershed and the lack of sedimentation data in this valley, a comprehensive methodology integrates Revised Universal Soil Loss Equation (RUSLE) model, remote sensing and GIS techniques to determine the catchment soil erosion vulnerability. The elaborations of RUSLE factors in this study were based on multisource data for the improvement of soil erosion estimation. The results indicated that the average soil loss is 10.21 t. ha -1 .yr -1 , with a total annual soil loss in the basin area of 5648.58 t. Around 90% of area was under very low erosion risk, and5% of area was considered as moderate erosion risk while 3% of area was considered as high to very high erosion risk. The climate change and rainfall fluctuations witnessed influenced the soil loss in this region. Thus, the high erosivity registered has consequent in the detachment of particles due to the soil texture types in this region. The conjunction of high erosivity, soil texture and high steep slopes in this region resulted in high potential soil erosion which could lead to the deterioration of water resources if not a mitigation measures and an immediate intervention are taken in the Mellah catchment.

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Section: Erosivity Factor Imentioning

confidence: 99%

Estimation of soil losses using RUSLE model and GIS tools: Case study of the Mellah catchment, Northeast of Algeria

Bouzeria¹,

Abderrahmane²,

Kanchoul³

et al. 2021

RRIC/RJCE

View full text Add to dashboard Cite

show abstract

“…Rainfall erosivity index can be defined as the erosivity which results from the release of kinetic energy as the raindrop hits the Earth's surface and the maximum intensity of precipitation event for a period of 30 min (Wischmeier and Smith 1978). Therefore, the rainfall erosivity is closely related to the soil degradation process (Guesri et al 2020).…”

Section: Rainfall Erosivity Index (Rei)mentioning

confidence: 99%

Modelling soil erosion risk of a tropical plateau basin to identify priority areas for conservation

Halder

Roy²,

Roy

2021

Environ Earth Sci

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Soil erosion induced by physical and anthropogenic activities needs serious concern to deal with. In recent days, watersheds have been facing acute soil loss because of deforestation, poor land use management and unscientific agricultural practices. The present paper highlights the goal to decipher soil erosion-susceptible zones in a rain-fed river basin of India having a complex topography comprising the extension of Chotonagpur plateau and parts of Bengal basin. Fuzzy logic algorithmbased analytical hierarchy process (FAHP) with remote sensing and geographical information system (GIS) were used to execute the objective. The soil erosion-susceptible zone (SESZ) was identified assimilating the 14 geo-environmental, hydrometeorological and anthropogenic conditioning factors such as slope, drainage density, relative relief, stream power index, topographic wetness index, runoff, soil texture, land use and land cover, rainfall erosivity factor, distance from road, distance from settlement, distance from river, geomorphology and soil bareness index based on which sub-basin prioritization for sustainable soil conservation was made. The soil erosion-susceptible zone was classified into five classes, namely very low soil erosion zone (13.20%), low soil erosion zone (25.75%), moderate soil erosion zone (27.62%), high soil erosion zone (21.90%) and very high soil erosion zone (11.53%). Receiver operating characteristics (ROC) curve was generated where area under the curve (AUC) came as 0.82 and a correspondence analysis between the SESZ and the first three ranked factors was also made which together proves the accuracy of the model. KeywordsFuzzy AHP • Soil erosion-susceptible zone (SESZ) • Receiver operating characteristics curve (ROC) • Area under the curve (AUC)

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Hybrid Analysis of Rainfall Erosivity in Northern Algeria: Integrating Empirical and Modeling Approaches

Hallouz,

Meddi,

Mahe

et al. 2023

Pure Appl. Geophys.

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Rainfall erosivity and sediment yield in Northeast Algeria: K’sob watershed case study

Cited by 12 publications

References 60 publications

Estimation of soil losses using RUSLE model and GIS tools: Case study of the Mellah catchment, Northeast of Algeria

Estimation of soil losses using RUSLE model and GIS tools: Case study of the Mellah catchment, Northeast of Algeria

Modelling soil erosion risk of a tropical plateau basin to identify priority areas for conservation

Hybrid Analysis of Rainfall Erosivity in Northern Algeria: Integrating Empirical and Modeling Approaches

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