Mapping groundwater potential and recharge for advisory and monitoring systems in Zimbabwe’s Upper Manyame sub-catchment

Résumé fourni par la source

This study investigated geospatial technologies to model groundwater potential (GWP) in the Upper Manyame sub-catchment (UMSC) and assess the impact of changing land use/land cover on groundwater recharge zones. Landsat images spanning 1980 to 2020 were processed using a maximum likelihood classifier algorithm in a GIS environment. Future land use for 2030 was predicted using Markov chain analysis. Utilizing geology, soil, lithology, lineament density, slope, total wetness index, and drainage density data, groundwater recharge and potential were mapped. Weights were assigned, and a spatial modelling system using fuzzy logic was employed to create weighted maps. The study revealed significant land cover changes. GWP mapping results exhibited a strong correlation with borehole yield data, validating the efficacy of fuzzy logic as a grading technique. The web GIS interfaces, offering diverse features, provide groundwater managers with tools to visualize groundwater potential zones and access borehole data online, facilitating informed decisionmaking for sustainable resource management.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.