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APPLICATION OF THE ANALYTIC HIEARCHY PROCESS (AHP) FOR ASSESSING GROUNDWATER RETENTION POTENTIAL USING LiDAR AND WELL DATA
Abstract
This study explores the application of the Analytic Hierarchy Process (AHP) to identify groundwater retention potential within a 130 km- 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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Intergovernmental Panel on Climate Change (IPCC), "Sections. In: Climate Change 2023: Synthesis Report. Contribution of Working Groups I, II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change," Geneva, Switzerland: IPCC, 2023, DOI: 10.59327/IPCC/AR6-9789291691647.
Intergovernmental Panel on Climate Change (IPCC), Climate Change and Land: IPCC Special Report on Climate Change, Desertification, Land Degradation, Sustainable Land Management, Food Security, and Greenhouse Gas Fluxes in Terrestrial Ecosystems, Cambridge: Cambridge University Press, 2022, DOI: 10.1017/9781009157988.
H. Nampak, P. Biswajeet, and M. A. Manap, "Application of GIS-based data-driven evidential belief function model to predict groundwater potential zonation," Journal of Hydrology, vol. 513, 2014. DOI: 10.1016/j.jhydrol.2014.02.053
A. Hosseinzadeh, K. Behzadian, P. Rossi, M. Karami, A. Ardeshir, and A. Torabi Haghighi, "A new multi-criteria framework to identify optimal detention ponds in urban drainage systems," Journal of Flood Risk Management, vol. 16, no. 2, 2023. DOI: 10.1111/jfr3.12890
P. Arulbalaji, D. Padmalal, and K. Sreelash, "GIS and AHP Techniques Based Delineation of Groundwater Potential Zones: A case study from Southern Western Ghats, India," Scientific Reports, vol. 9, p. 2082, 2019. DOI: 10.1038/s41598-019-38567-x
E. A. Kudamnya, R. O. Sylvanus, M. T. Essien, A. A. Vulegbo, and B. O. Omang, "A 2D GIS Approach for Mapping Aquiferous Zones Using Remotely Sensed Data within Obubra, Southeast-Nigeria," Journal of Water Resource and Protection, vol. 11, no. 6, 2019. DOI: 10.4236/jwarp.2019.116046
G. Balamurugan, K. Seshan, and S. Bera, "Frequency ratio model for groundwater potential mapping and its sustainable management in cold desert, India," Journal of King Saud University, vol. 29, no. 3, 2017. DOI: 10.1016/j.jksus.2016.08.003
P. Sander, M. M. Chesley, and T. B. Minor, "Groundwater Assessment Using Remote Sensing And GIS In A Rural Groundwater Project In Ghana: Lessons Learned," Hydrogeology Journal, vol. 4, 1996. DOI: 10.1007/s100400050086
Y. Razandi, H. R. Pourghasemi, N. S. Neisani, and O. Rahmati, "Application of analytical hierarchy process, frequency ratio, and certainty factor models for groundwater potential mapping using GIS," Earth Science Informatics, vol. 8, 2015. doi.org/DOI: 10.1007/s12145-015-0220-8
R. Zhao, C. Fan, A. Arabameri, M. Santosh, L. Mohammad, and I. Mondal, "Groundwater spring potential mapping: Assessment of the contribution of hydrogeological factors," Advances in Space Research, vol. 74, no. 1, 2024. DOI: 10.1016/j.asr.2024.03.038
T. Jannat, A. Chowdhury, M. Z. Rahaman, and K. M. Islam, "Estimating Rainfall Infiltration for Groundwater Recharge Using Infiltration Index Method: A Case Study in Rajshahi District, Bangladesh," American Journal of Civil Engineering, vol. 2, no. 3, 2014. DOI: 10.11648/j.ajce.20140203.15
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