Diachronic mapping and evaluation of soil erosion rates using RUSLE in the Bouregreg River Watershed, Morocco

• Autorzy: Moudden Fouad , El Hafyani Mohammed , El Ouali Anas , Roubil Allal , El Ouali Abdelhadi , Essahlaoui Ali , Brouziyne Youssef

Identyfikatory

DOI

10.24425/jwld.2022.140784

• Języki publikacji: EN

Abstrakty

EN

Soil erosion has been severely affecting soil and water resources in semi-arid areas like the Mediterranean. In Morocco, this natural process is accelerated by anthropogenic activities, such as unsustainable soil management, overgrazing, and deforestation. With a drainage area of 395,600 ha, the Bouregreg River Watershed extends from the Middle Atlas Range (Jebel Mtourzgane) to the Sidi Mohamed Ben Abdellah (SMBA) dam reservoir south-east of Rabat. Its contrasted eco-geomorphological landscapes make it susceptible to unprecedented soil erosion due to climate change. Resulting changes in erosive dynamics led to huge amounts of solid loads transported to the catchment outlet and, thus, jeopardised the SMBA dam lifespan due to siltation. The research aims to quantify the average annual soil losses in this watershed using the Revised Universal Equation of Soil Losses (RUSLE) within a GIS environment. To highlight shifts in land use/land cover patterns and their effects on erosional severity, we have resorted to remote sensing through two Landsat 8 satellite images captured in 2004 and 2019. The C factor was combined with readily available local data regarding major erosion factors, e.g. rainfall aggressiveness (R), soil erodibility (K), topography (LS), and conservation practices (P). The helped to map the erosion hazard and determine erosion prone areas within the watershed where appropriate water and conservation measures are to be considered. Accordingly, from 2004 to 2019, average annual soil losses increased from 11.78 to 18.38 t∙ha^-1∙y^-1, as the watershed area affected by strong erosion (>30 t∙ha^-1∙y^-1) evolved from 13.57 to 39.39%.

Słowa kluczowe

EN

Bouregreg Watershed; diachronic mapping GIS; Revised Universal Equation of Soil Losses model; RUSLE model; water erosion

• Wydawca: Wydawnictwo ITP
• Czasopismo: Journal of Water and Land Development
• Rocznik: 2022
• Tom: no. 53
• Strony: 86--99
• Opis fizyczny: Bibliogr. 50 poz., rys., tab.

Twórcy

autor

Moudden Fouad

• Moulay Ismail University, Faculty of Sciences, Department of Geology, Laboratory of Geoengineering and Environment, Research Group “Water Sciences and Environment Engineering, Zitoune, Meknes BP11201, Morocco

autor

El Hafyani Mohammed

• Moulay Ismail University, Faculty of Sciences, Department of Geology, Laboratory of Geoengineering and Environment, Research Group “Water Sciences and Environment Engineering, Zitoune, Meknes BP11201, Morocco

autor

El Ouali Anas

• Sidi Mohamed Ben Abdellah University, Faculty of Science and Technology, Functional Ecology and Environmental Engineering Laboratory, Fez, Morocco

autor

Roubil Allal

• Moulay Ismail University, Faculty of Sciences, Department of Geology, Laboratory of Geoengineering and Environment, Research Group “Water Sciences and Environment Engineering, Zitoune, Meknes BP11201, Morocco

autor

El Ouali Abdelhadi

• Moulay Ismail University, Faculty of Sciences, Department of Geology, Laboratory of Geoengineering and Environment, Research Group “Water Sciences and Environment Engineering, Zitoune, Meknes BP11201, Morocco

autor

Essahlaoui Ali

• Moulay Ismail University, Faculty of Sciences, Department of Geology, Laboratory of Geoengineering and Environment, Research Group “Water Sciences and Environment Engineering, Zitoune, Meknes BP11201, Morocco

autor

Brouziyne Youssef

• Mohammed VI Polytechnic University, International Water Research Institute, Ben Guerir, Morocco

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).