Contribution of Satellite Imagery, Geographic Information Systems, Pedology, and Statistical Analysis to the Characterization of Water Availability Potential in Urban Watersheds: Application to the Former Municipality of Ratoma (Republic of Guinea)

  • Tokpo Ninamou Laboratory of Science and Technology of Water and the Environment (LSTEE), National Institute of Water (INE), African Centre of Excellence for Water and Sanitation (C2EA), University of Abomey-Calavi (UAC), Cotonou, Benin Hydraulics Laboratory of the Small Hydropower Technology Center University Gamal Abdel Nasser of Conakry, Guinea
  • Elegbede Manou Bernadin Laboratory of Science and Technology of Water and the Environment (LSTEE), National Institute of Water (INE), African Centre of Excellence for Water and Sanitation (C2EA), University of Abomey-Calavi (UAC), Cotonou, Benin
  • Kourouma Mory Applied Research Laboratory in Geoscience and Environnement Institute of Mines and Geology of Boké (ISMGB), Guinea
  • NTcha Tchantipe Laboratory of Science and Technology of Water and the Environment (LSTEE), National Institute of Water (INE), African Centre of Excellence for Water and Sanitation (C2EA), University of Abomey-Calavi (UAC), Cotonou, Benin
  • Sine Diakite Urban Study and Research Laboratory (LERU) Higher Institute of Architecture and Urban Planning, Guinea
Keywords: Urban watershed, Remote sensing, Hydromorphometry, Statistical analysis, Water potential

Abstract

In response to the challenges associated with drinking water supply in urban areas, this study proposes an integrated approach to characterize the water availability potential of watersheds in the former municipality of Ratoma, Guinea. The research combines remote sensing (Shuttle Radar Topography Mission of USGS), Geographic information system (automatic extraction of watersheds and hydro-morphometric parameters), soil characterization, and multivariate statistical analysis. Based on the Digital terrain model, 38 watersheds were identified and described according to 29 hydro-morphometric parameters. Principal component analysis explained 86.24% of the total variance across three main axes: structural dimension (45.05%), the density of the hydrographic network (23.41%), and the energy of the relief (17.78%). Ascending hierarchical classification distinguished two functional groups: on the one hand, small basins (0.16-1.67 km²) with a rapid hydrological response, and on the other hand, larger basins (1.76-7 km²) with slower dynamics. At the same time, Ratoma's soil analysis identified nine soil units, dominated by skeletal formations (75%) with rapid drainage. Granulometric and qualitative analysis of the samples revealed significant textural variability that may influence infiltration. Coarse soils have a high infiltration capacity but low water retention, while fine soils exhibit temporary hydromorphy. Cross-referencing the results made it possible to spatially identify areas with high water potential (hydromorphic soils) and transit areas (skeletal soils), providing a valuable tool for decision-making in the sustainable management of groundwater resources in urban contexts, particularly for selecting sites suitable for drilling and for planning sustainable supply strategies.

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Published
2025-12-07
How to Cite
Ninamou, T., Bernadin, E. M., Mory, K., Tchantipe, N., & Diakite, S. (2025). Contribution of Satellite Imagery, Geographic Information Systems, Pedology, and Statistical Analysis to the Characterization of Water Availability Potential in Urban Watersheds: Application to the Former Municipality of Ratoma (Republic of Guinea). European Scientific Journal, ESJ, 48, 218. Retrieved from https://eujournal.org/index.php/esj/article/view/20408
Section
ESI Preprints