ArticleScientific reports2026
Enhancing groundwater recharge mapping in arid regions with geospatial multi-criteria analysis in the Eastern desert of Egypt.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Groundwater recharge zones should be identified in order to address water scarcity while ensuring the sustainability of aquifers. The research utilized an integrated methodology that combined Analytic Hierarchy Process (AHP), Remote Sensing (RS), and Geographic Information System (GIS) techniques to identify groundwater recharge potential zones within the Qift-El Quseir area of Egypt's Eastern Desert. Eight key parameters, including drainage density, slope, topographic wetness index, lineament density, lithology, rainfall, land cover, and soil characteristics, were extracted from Sentinel-2 imagery, an ALOS PALSAR digital elevation model, long term gridded precipitation, and geological and land cover maps. AHP-based multi-criteria evaluation highlights lineament density and lithology as the dominant controls on recharge, followed by topographic and drainage characteristics. The resulting Groundwater Recharge Potential Index map classifies the basin into four categories, with 22.0% of the area characterized as excellent to very good, 34.9% as very good to good, 31.2% as good to moderate, and 11.9% as moderate to low. By combining these classes with class specific recharge ratios and mean annual rainfall (4.3 mm), the basin scale recharge is estimated at approximately 9.67 × 10
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.