Delineation of Potential Aquifer Zones in the Lagnadiz Area (Zaër Pluton, Central Morocco) Using a Multi-Source Analysis (Sentinel-1, Sentinel-2, DEM) and a Multi-Criteria Approach

Groundwater is essential for drinking and irrigation to ensure a stable life and economic development, especially in semi-arid to arid rural areas such as the Lagnadiz district in central Morocco. However, its occurrence is highly variable in discontinuous media because of its uneven circulation along fractures, making it difficult to locate productive drilling sites. This study aimed to identify suitable locations for the establishment of productive wells by combining Sentinel-1 and Sentinel-2 imagery, a DEM, and geological data. Lineaments were automatically extracted and validated using Google Earth imagery, slope and hillshade maps, and field observations. Six thematic layers (lithology, drainage density, distance to faults, slope, lineament density, and lineament intersection density) were weighted using the Analytic Hierarchy Process and integrated through Weighted Linear Combination. The resulting groundwater potential map shows that high potential areas cover 38.53% of the study area, followed by moderate potential areas (34.84%) and low potential areas (26.63%). A ±10% weight sensitivity analysis showed strong map stability, with r values of 0.9949–0.9999 and class agreement rates of 93.31–99.61%. The map was independently validated using exploitation-yield data from 22 boreholes that were not involved in its construction. Using a productivity threshold of 5 m3/h, the ROC analysis produced an AUC of 0.795, with a 95% confidence interval ranging from 0.581 to 0.949, indicating an acceptable ability of the GWPI map to distinguish between the two productivity groups.

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Publication Details

Journal
Hydrology
Published
2026-09-21
DOI
https://doi.org/10.3390/hydrology13090260
Primary Topic
Groundwater and Watershed Analysis
Type
article
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article

Delineation of Potential Aquifer Zones in the Lagnadiz Area (Zaër Pluton, Central Morocco) Using a Multi-Source Analysis (Sentinel-1, Sentinel-2, DEM) and a Multi-Criteria Approach

Fatima El Khalloufi, El Hassania El Hamzaoui, Jalal Moustadraf, Meryeme Khachchabi et al.
Hydrology
Groundwater and Watershed Analysis
article

Delineation of Potential Aquifer Zones in the Lagnadiz Area (Zaër Pluton, Central Morocco) Using a Multi-Source Analysis (Sentinel-1, Sentinel-2, DEM) and a Multi-Criteria Approach

Fatima El Khalloufi, El Hassania El Hamzaoui, Jalal Moustadraf, Meryeme Khachchabi, Tarik Tagma
article en

Abstract

Groundwater is essential for drinking and irrigation to ensure a stable life and economic development, especially in semi-arid to arid rural areas such as the Lagnadiz district in central Morocco. However, its occurrence is highly variable in discontinuous media because of its uneven circulation along fractures, making it difficult to locate productive drilling sites. This study aimed to identify suitable locations for the establishment of productive wells by combining Sentinel-1 and Sentinel-2 imagery, a DEM, and geological data. Lineaments were automatically extracted and validated using Google Earth imagery, slope and hillshade maps, and field observations. Six thematic layers (lithology, drainage density, distance to faults, slope, lineament density, and lineament intersection density) were weighted using the Analytic Hierarchy Process and integrated through Weighted Linear Combination. The resulting groundwater potential map shows that high potential areas cover 38.53% of the study area, followed by moderate potential areas (34.84%) and low potential areas (26.63%). A ±10% weight sensitivity analysis showed strong map stability, with r values of 0.9949–0.9999 and class agreement rates of 93.31–99.61%. The map was independently validated using exploitation-yield data from 22 boreholes that were not involved in its construction. Using a productivity threshold of 5 m3/h, the ROC analysis produced an AUC of 0.795, with a 95% confidence interval ranging from 0.581 to 0.949, indicating an acceptable ability of the GWPI map to distinguish between the two productivity groups.

HydrologyVol. 13(9)
Cadi Ayyad University (MA), Université Sultan Moulay Slimane (MA)
Openalex Percentile: Top 18%
Groundwater and Watershed Analysis
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