Szczegóły publikacji
Opis bibliograficzny
A multi-criteria framework for assessing groundwater retention potential / S. Łabojko, A. MALINOWSKA, B. STYPIŃSKI // W: Mine surveying and mining area protection : proceedings of the 18th conference on mine surveying and protection of mining areas, Ustroń, Poland, October 22nd–24th, 2025 / eds. Violetta Sokoła-Szewioła, Patrycja Jarczyk. — London : CRC Press ; Taylor & Francis Group, cop. 2025. — Dod. ISBN: 978-1-041-10533-6 (pbk). — ISBN: 978-1-041-10531-2; e-ISBN: 978-1-003-65555-8. — S. 136–144. — Bibliogr. s. 144, Abstr. — B. Stypiński - dod. afiliacja: Lubelski Węgiel ”Bogdanka” S. A., Poland
Autorzy (3)
Dane bibliometryczne
| ID BaDAP | 165003 |
|---|---|
| Data dodania do BaDAP | 2026-01-08 |
| Tekst źródłowy | URL |
| DOI | 10.1201/9781003655558-14 |
| Rok publikacji | 2025 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Creative Commons | |
| Wydawcy | CRC Press / Balkema, Taylor & Francis Group |
Abstract
Groundwater retention is a critical component of regional water resource management, particularly in areas affected by low terrain variability. This study presents a multi-criteria framework integrating Analytic Hierarchy Process (AHP) and Geographic Information Systems (GIS) to evaluate groundwater retention potential over a 130 km² flat study area. Five key geographical determinants—geologic layer permeability, distance to streams, Topographic Position Index (TPI), slope, and land cover—were incorporated into the analysis. High-resolution LiDAR-derived elevation data enabled detailed characterization of microtopographic features, while precise geological maps provided robust estimates of subsurface permeability. The proposed framework allows systematic integration of multiple thematic layers into a unified decision-making model. Pairwise comparison and weighting identified geologic layer permeability as the dominant controlling factor (45.92%), with distance to streams and TPI contributing equally (19.81% each). Slope and land cover exhibited comparatively minor influence (10.39% and 4.07%, respectively), reflecting the homogeneity of the study terrain. The resulting groundwater retention potential map demonstrates the capacity of combining high-accuracy topographic and geological datasets with multi-criteria decision analysis to produce reliable spatial predictions. This approach provides a practical framework for groundwater management, land-use planning, and hydrological assessment in regions characterized by flat landscapes and low terrain variability.
