Regional-Scale Modeling of Water Erosion and Sediment Yield in a Semi-Arid Context

Manaouch, Mohamed; Zouagui, Anis; Imade, Fenjiro

doi:10.1145/3399205.3399209

Cited by 4 publications

(3 citation statements)

References 13 publications

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“…The results presented in Figure 4 revealed that the importance of the vegetation cover, topography, soil erodibility, and rainfall erosivity in assessing soil erosion differs from one region to another. These factors are gathered in the arid and semi-arid zones in the country, which remains one of the most vulnerable to the effects of climate change (Mohamed et al, 2020). It is characterized by the spatio-temporal irregularity of rainfall (Sebbar et al, 2011) and has experienced several periods of drought (Kharraz et al, 2012;Mohammed et al, 2002); the number of dry periods is greater than the number of wet periods.…”

Section: Factors Characterizing the Various Structural Domainsmentioning

confidence: 99%

Soil water erosion assessment in Morocco through modeling and fingerprinting applications: A review

Lamane

Moussadek

Baghdad

et al. 2022

Heliyon

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Section: Factors Characterizing the Various Structural Domainsmentioning

confidence: 99%

Soil water erosion assessment in Morocco through modeling and fingerprinting applications: A review

Lamane

Moussadek

Baghdad

et al. 2022

Heliyon

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“…The LULC of a watershed has a major effect on runoff and is also an important criterion for identifying suitable sites for rainwater harvesting. LULC data were extracted by processing a satellite imagery of Landsat 8 OLI acquired in February 2021 (Mohamed et al 2020). LULC map was classed into 4 categories based on the supervised classification in ArcGIS 10.5 (Fig.…”

Section: Land Use/ Land Cover (Lulc)mentioning

confidence: 99%

“…A spatial distribution map of soil erosion was prepared based on the previous work (Mohamed et al 2020).…”

mentioning

confidence: 99%

Integrating WaTEM/SEDEM model and GIS-based FAHP Method for Identifying Ecological Rainwater Harvesting Sites in Ziz upper watershed, SE Morocco

Manaouch

Fenjiro

2021

Preprint

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Moroccan southeast areas have limited water ressources, vulnerable to climate change and characterized by a significant spatio-temporal variability. In response, to ensure the availability of water for local comunity, it is advised to develop some alternatives that improve the local water resources management throughout these areas. Rainwater harvesting (RWH) has been used widely as an alternative technique towards water scaricity. However, taking into account socio-economic constraints for identifying ecological sites for RWH remains a complex task for water managers. The present study was conducted using WaTEM/SEDEM model, GIS techniques and Fuzzy Analytical Hierarchy Process (FAHP) method to identify important ecological RWH sites. For this purpose, several data sources were employed to generate needful thematic layers. The soil conservation service curve number (SCS-CN) method was utilized for preparing a yearly runoff potential map. Then, the thematic layers were weighted for generating RWH suitability map. The results show that yearly surface runoff ranges from 136 to 500 mm. Moreover, the spatial distribution map of soil erosion of WaTEM/SEDEM shows that Ziz upper watershed can be classed into four classes: (i) slight (very suitable), (ii) moderate (suitable), (iii) high (less suitable) and (iv) severe (not suitable). Aproximatly 76.1% of the study area falls within slight soil erosion class. The GIS tools were used for generating the important ecological RWH suitability map. The GIS’s intersect tool was used to eliminate insuitable soil erosion classes and the buffer tool was used for integrating the socio-economic factors including the distance from residential areas and agriculltural fields. Prediction accuracy of the resultant map of RWH suitability showed the value of the area under the curve (AUC) equal to 59.6% for FAHP method in this study. Ecological RWH map, mainly, introduced western areas and some central parts of Ziz upper watershed as suitable RWH areas. The present study demonstrated that coupling WaTEM/SEDEM model with FAHP method and GIS tools provide a valuable approach for identifying the ecological RWH sites in large semi-arid areas.

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Predicting potential reforestation areas by Quercus ilex (L.) species using machine learning algorithms: case of upper Ziz, southeastern Morocco

Manaouch,

Sadiki,

Pham

et al. 2023

Environ Monit Assess

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Regional-Scale Modeling of Water Erosion and Sediment Yield in a Semi-Arid Context

Cited by 4 publications

References 13 publications

Soil water erosion assessment in Morocco through modeling and fingerprinting applications: A review

Soil water erosion assessment in Morocco through modeling and fingerprinting applications: A review

Integrating WaTEM/SEDEM model and GIS-based FAHP Method for Identifying Ecological Rainwater Harvesting Sites in Ziz upper watershed, SE Morocco

Predicting potential reforestation areas by Quercus ilex (L.) species using machine learning algorithms: case of upper Ziz, southeastern Morocco

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