Browsing by Author "Taher, Morad"

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Access status: Open Access ,
An estimation of soil erosion rate hot spots by integrated USLE and GIS methods - a case study of the Ghiss dam and basin in northeastern Morocco
(Wydawnictwa AGH, 2022) Taher, Morad; Mourabit, Taoufik; Bourjila, Abdelhak; Saadi, Omar; Errahmouni, Ali; Marzkioui, Fouad El; Mousaoui, Mhamed El
Soil erosion is a major factor leading to dams' siltation and reducing their storage capacity. This study mapped the hot spots of soil erosion areas to predict the soil erosion/siltation in the Ghiss basin/dam (northeastern Morocco). In this context, various data has been prepared in the geographical information system for the estimation of soil erosion by integrating the universal soil loss equation (USLE). The result of this study revealed that soil loss rate ranges between 0 and 19 t∙ha−1∙yr−1. Therefore, the hot spots in the soil erosion area are to be found upstream, potentially leading to dam siltation over time. To avoid Ghiss dam siltation, we suggest terrace farming and reforestation in the soil erosion area hot spots.
Access status: Open Access ,
Identification of groundwater potential zones (GWPZ) using geospatial techniques and AHP method - a case study of the Boudinar Basin, Rif Belt (Morocco)
(Wydawnictwa AGH, 2023) Taher, Morad; Mourabit, Taoufik; Etebaai, Issam; Cherkaoui Dekkaki, Hinde; Amarjouf, Najat; Amine, Afaf; Bourjila, Abdelhak; Errahmouni, Ali; Azzouzi, Sadik
The present study aims to delineate the groundwater potential zones (GWPZ) in the Boudinar Basin using geospatial techniques and through an analytical hierarchal process (AHP) method. For multi criteria decision analysis, fifteen thematic layers were integrated into a geographic information system (GIS) environment. In this analysis, each thematic layer is calculated for normalized weights. Furthermore, the consistency index and consistency ratio were calculated to ensure that the result was significant and reliable. The GWPZ map has been categorized into three classes: poor (50.82%), moderate (49.06%), and good (<1.00%). To compare the result, we used four other scenarios of the GWPZ. Two of them are the most similar to our result. Finally, predictive groundwater production and management strategies that ensure long-term sustainability are highly needed.
Access status: Open Access ,
Mapping Groundwater-Potential Zones Using Geospatial and Decision-Making Approaches: Case Study of Ghiss-Nekkour Watershed in Northeastern Morocco
(Wydawnictwa AGH, 2024) Mazzourh, Abdessamad; Taher, Morad; Ouhadi, Abdellah; Dakak, Houria; Dekkaki, Hinde Cherkaoui
Accelerated population growth has led to a heightened demand for water resources, resulting in a notable decline in underground water storage – especially in coastal areas. To effectively manage this crucial resource, the objective of this research work is to identify potential groundwater recharge areas in the Ghiss-Nekkour watershed using Saaty’s multi-criteria analysis combined with GIS and remote-sensing techniques. Initially, this work involved gathering spatial information that was related to the various parameters that govern recharge and express it in thematic maps: slope, altitude, geology, rainfall, soil, land cover, and drainage density. A reclassification was made according to their degrees of involvement in the recharge process by Saaty’s analytical hierarchy process (AHP); this was followed by a weighting of these parameters. These were subsequently integrated into a GIS in order to establish a map of potential groundwater recharge zones in the Ghiss-Nekkour watershed. The groundwater-potential map resulted in five classes: – good (165 km$^2$) and excellent (0.9 km$^2$) aquifer recharge potentials – situated in north and southwest portions of study area; – moderate (617 km$^2$) aquifer recharge potentials – located in western and southern parts of watershed; – fair (551 km$^2$) and poor (44 km$^2$) aquifer recharge potentials – located in central zone and southeastern part of Ghiss-Nekkour watershed. Field surveys that were conducted in November 2022 and October 2023 validated the obtained results.