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- W4377014054 abstract "This work aims to produce a cartographic model that identifies areas with a greater probability of finding karstic caves - the endokarst potential - in the northern sector of Santo António Plateau (Estremadura Limestone Massif, Central Portugal). Geological, topographic, hydrogeological, and vegetation cover data were collected, processed, and integrated into a spatial database using a geographic information system (GIS). The location of known cave entrances in the study area was also identified from the records of local public institutions and speleological teams. Four conditioning factors were extracted from the collected data, including lithostratigraphic units, fracture density, relief energy, and land cover. In a multi-criteria decision-making analysis framework, each previously chosen conditioning factor and respective classes/categories were weighted using the analytic hierarchy process (AHP). With an agreement of 81.9%, the results of the cartographic model constructed in GIS seem to be promising, considering that the entrances of the known caves are mainly located in areas classified as having high to very high endokarst potential. This prototype of the endokarst potential map for the study area can be used in strategic and operational environmental planning (at least on a local scale), as it can assist decision-makers, competent authorities, and local speleological teams in a more accurate and thoughtful definition of the areas that should be investigated, providing a substantial reduction in times and costs field prospecting." @default.
- W4377014054 created "2023-05-19" @default.
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- W4377014054 date "2023-05-18" @default.
- W4377014054 modified "2023-09-29" @default.
- W4377014054 title "Endokarst Potential Assessment in the Northern Sector of Santo António Plateau (Estremadura Limestone Massif, Central Portugal)" @default.
- W4377014054 doi "https://doi.org/10.20944/preprints202305.1296.v1" @default.
- W4377014054 hasPublicationYear "2023" @default.
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