Dams Siltation and Soil Erosion in the Souss–Massa River Basin

Elmouden, Ahmed; Alahiane, Naima; Faskaoui, M.; Morjani, Zine El Abidine El

doi:10.1007/698_2016_70

Cited by 15 publications

(3 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Where SSY is the area-specific sediment yield (t•ha -1 •year -1 ), dBD represents the dry sediments bulk density (t•m -3 ), which was taken to be equal to 1.3 t•m -3 in Morocco's reservoir sediments (Alahiane et al, 2016;Elmouden et al, 2017;Lahlou 1988), STE is the trap efficiency (%), SV is the measured sediment volumetric (m 3 •year -1 ) and CA the basin area (ha).…”

Section: Sy and Ssy Calculationmentioning

confidence: 99%

The Use of Artificial Neural Network and Advanced Statistics to Model Sediment Yield on a Large Scale: Example of Morocco

Gourfi

Daoudi

Fels

et al. 2021

jeas

View full text Add to dashboard Cite

Morocco ranks among countries with the greatest achievements in the field of dams in Africa but is affected by the sedimentation phenomenon due to soil erosion in upstreams. The assessment of Sediment Yield (SY) and Suspended Sediment Yield (SSY) remains a challenging global issue, especially in Morocco, characterized by a great diversity of morphological, climatic, and vegetation cover. The main objective of this paper was to perform advanced statistics and artificial neural networks (ANN) in order to understand the spatial distribution of sediment yield and the factors most controlling it, including factors of the RUSLE model (Revised Universal Soil Loss Equation). In order to produce a model able to assess SY, we collected and analyzed extensive data of most variables that can be affecting SY using 42 catchments of the biggest and important dams of Morocco. Statistical analysis of the studied watersheds shows that SY is mainly related to the watershed area and the length of the drainage network. On the other hand, the SSY is higher in watersheds where gully erosion is abundant and lower in areas with no soil horizon. The SSY is mainly related to the altitude, aridity index, sand fraction, and drainage network length. In front of the complexity of preserving this phenomenon, the ANN was applied and gave very good satisfactory results in predicting the SSY (NSE=0.93, R2=0.93).

show abstract

Section: Sy and Ssy Calculationmentioning

confidence: 99%

The Use of Artificial Neural Network and Advanced Statistics to Model Sediment Yield on a Large Scale: Example of Morocco

Gourfi

Daoudi

Fels

et al. 2021

jeas

View full text Add to dashboard Cite

show abstract

“…In the literature, the water erosion of soils is viewed as the primary cause of soil damage in Morocco [Mohameden et al 2022]. The whole mountain range of the western High Atlas suffers from efficient erosion that in general reaches high values in terms of soil loss by year [El Mouden et al 2017;Markhi et al 2019]. In this context, it is necessary to find appropriate solutions to conserve water and soil resources in this area.…”

Section: Introductionmentioning

confidence: 99%

Digital Elevation Model-Derived Morphometric Indices for Physical Characterization of the Issen Basin (Western High Atlas of Morocco)

Haddou¹,

Wanaim²,

Ikirri³

et al. 2022

Ecol. Eng. Environ. Technol.

View full text Add to dashboard Cite

This study attempts to describe the physical characteristics of the Issen basin (western High Atlas of Morocco) in order to highlight the factors affecting water flow and volume that may increase water erosion risk. By using ALOS-DEM of moderate spatial resolution (12.5 m) and GIS platform, it was possible to provide a joint set of morphometric indices of the study area. The obtained results reveal that the relief of the study basin is of mountainous symptom indicating its maturity. The contrasting topography (625 m to 3528 m), with a specific unevenness of the order of 612 m, highlights a strong relief. 94% of the watershed area has a slope of over 3%. The mean elongation of the basin is 1.74, with a fairly long water concentration time of about 7.5 hours and an average drainage density of 0.85 km -¹. The tectonics, lithology, and external geodynamics characterstics indicate a strongly contrasted morphology characterizing the Issen basin. Overall, these morphometric characteristics can increase the shallow water flows and sediments mobilized by the Issen Wadi, which can increase the soil loss and flooding risks in the basin.

show abstract

“…Empirical research has also been used, for example to assess soil erosion on a watershed scale [15][16]. Taguas et al [17] simulated the spatial distribution of water erosion using a sediment delivery distributed (SEDD) model across a small watershed in a Spanish olive orchard, and Elmouden et al [18] evaluated spatial-temporal soil erosion in the Souss Massa River basin in Morocco.…”

mentioning

confidence: 99%

Temporal-Spatial Variation Characteristics of Soil Erosion in the Pisha Sandstone Area, Loess Plateau, China

Li¹,

Xie²,

Qin³

et al. 2019

Pol. J. Environ. Stud.

View full text Add to dashboard Cite

Environmental problems present in the Loess Plateau ecosystem, such as vegetation destruction, soil degradation, water and soil loss, have become increasingly serious with an increase in global climate change. As a result, a series of social and economic problems have arisen, with ecological security in this area having widespread concern [1]. The Pisha sandstone area is widely distributed in the Yellow River watershed at the junction of Shanxi, Shaanxi, and Mongolia provinces. This area has been referred to as having "the world's most soil and water loss" and being termed as

show abstract

Dams Siltation and Soil Erosion in the Souss–Massa River Basin

Cited by 15 publications

References 30 publications

The Use of Artificial Neural Network and Advanced Statistics to Model Sediment Yield on a Large Scale: Example of Morocco

The Use of Artificial Neural Network and Advanced Statistics to Model Sediment Yield on a Large Scale: Example of Morocco

Digital Elevation Model-Derived Morphometric Indices for Physical Characterization of the Issen Basin (Western High Atlas of Morocco)

Temporal-Spatial Variation Characteristics of Soil Erosion in the Pisha Sandstone Area, Loess Plateau, China

Contact Info

Product

Resources

About