Peer-reviewed articles 17,970 +



Title: APPLICATION OF THE ANALYTIC HIEARCHY PROCESS (AHP) FOR ASSESSING GROUNDWATER RETENTION POTENTIAL USING LiDAR AND WELL DATA

APPLICATION OF THE ANALYTIC HIEARCHY PROCESS (AHP) FOR ASSESSING GROUNDWATER RETENTION POTENTIAL USING LiDAR AND WELL DATA
Szymon Labojko; Bartosz Stypinski; Agnieszka A. Malinowska
10.5593/sgem2025/3.1
1314-2704
English
25
3.1
• Prof. Dr. hab. oec. Baiba Rivza, LATVIA• Prof. DSc. Ildiko Tulbure, GERMANY• Prof. DSc. Oleksandr Trofymchuk, UKRAINE
This study explores the application of the Analytic Hierarchy Process (AHP) to identify groundwater retention potential within a 130 km² study area, leveraging high-precision LiDAR measurements and data from 150 wells. By integrating advanced geospatial technology with extensive field data, this approach offers a unique methodology for analyzing groundwater retention. AHP was employed to assess several key geographical factors, including the Topographic Position Index (TPI), slope, hydrographic network density, land cover, and ground infiltration rates. Groundwater level data, systematically collected from a network of wells over a specified period, provided a robust dataset to evaluate groundwater dynamics in the region.
The AHP methodology enabled the integration of these spatial variables into a unified decision-making framework, facilitating the identification of areas with high groundwater retention potential. The results revealed that ground infiltration rates, hydrographic network density, and TPI were the most significant factors influencing groundwater retention, while land cover and slope were of secondary importance, especially in regions with low terrain variability.
By incorporating well measurements and precise geospatial data into the AHP model, the study achieved enhanced predictive accuracy for groundwater retention zones. This integration of field data with multi-criteria decision analysis represents a novel advancement in groundwater management. The findings offer valuable insights for local water resource management, providing a decision-making tool for land-use planning and hydrological risk assessment in regions with similar geospatial characteristics.
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Authors thank the Ministry of Education in Poland grant number DWD/8/0064/2024 and Mining Surveying Department at Lubelski Wegiel “Bogdanka” S.A for delivering well survey and LiDAR data necessary for this study.
conference
Proceedings of 25th International Multidisciplinary Scientific GeoConference SGEM 2025, Volume 25, Issue 3.1
25th International Multidisciplinary Scientific GeoConference SGEM 2025, Volume 25, Issue 3.1, 29 June - 6 July, 2025
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Russian Acad Arts; Turkish Acad Sci.
41-48
29 June - 6 July, 2025
website
10353
AHP, groundwater, retention, LiDAR, infiltration, well data, GIS, hydrography


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