Groundwater Potential Mapping (GWPM) using Analytical Hierarchy Process (AHP) in Bengkulu City, Indonesia

被引:0
作者
Ariska, Citra Febiola [1 ]
Fadli, Darmawan Ikhlas [1 ]
Nabhan, Muhammad Afif [1 ]
Nugraha, Rahma Alshenta [1 ]
Hafiza, Belliya [1 ]
Amalia, Isra [1 ]
Sumanjaya, Erlan [2 ]
Hadi, Arif Ismul [1 ]
Refrizon
Maulidiyah, Ayu [3 ]
机构
[1] Univ Bengkulu, Fac Math & Nat Sci, Dept Geophys, Jl WR Supratman, Bengkulu 38371, Indonesia
[2] Univ Lampung, Fac Engn, Dept Geodesy & Geomat Engn, Jl Prof Dr Sumantri Brojonegoro 1, Bandar Lampung 35141, Indonesia
[3] Cargill Trop Oils Asia, Dept Food Safety & Qual Regulatory, Reg 5, South Sumatera 30755, Indonesia
来源
RUDARSKO-GEOLOSKO-NAFTNI ZBORNIK | 2025年 / 40卷 / 03期
关键词
AHP; Bengkulu City; GIS; groundwater potential zone; URBANIZATION; WATER; ZONE;
D O I
10.17794/rgn.2025.3.1
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Rapid urbanization and industrial expansion have led to heightened water demand. Groundwater plays a crucial role in urban settings for sanitation, drinking water, and agriculture. This research seeks to assess groundwater potential in Bengkulu City, Indonesia, employing the Analytical Hierarchy Process (AHP). The study incorporates eight primary fac-tors: lineament density, drainage density, precipitation, geomorphology, geology, slope, land cover, and elevation. A multicollinearity test confirmed the absence of multicollinearity among these parameters. The pairwise comparison matrix produced a consistency ratio of 0.098 (9.8%), indicating acceptable consistency in parameter comparisons. Over-lay-weighted linear combination (WLC) analysis categorized the groundwater potential into five levels: very high (2.9% or 3.83 km2), high (50.9% or 67.47 km2), moderate (35.2% or 46.71 km2), low (5.2% or 6.88 km2), and very low (5.8% or 7.64 km2). The AHP model yielded strong performance metrics, including a ROC value of 0.89, accuracy of 0.81, MAE of 0.19, RMSE of 0.43, Kappa of 0.62, precision of 0.86, recall of 0.80, and an F1-score of 0.83. Precipitation, lineament den-sity, and drainage density were the key factors affecting groundwater potential. This study shows that the AHP method is highly effective for mapping groundwater potential, especially in urban areas like Bengkulu City. The results can assist in making informed decisions regarding well drilling for drinking water, agricultural purposes, and artificial recharge projects, contributing to sustainable groundwater management in the region.
引用
收藏
页码:1 / 15
页数:15
相关论文
共 60 条
[21]   Improving groundwater vulnerability assessment in structurally controlled hard rock aquifer: insight from lineament density and land use/land cover pattern [J].
Haidery, Afreen ;
Umar, Rashid .
ENVIRONMENTAL MONITORING AND ASSESSMENT, 2024, 196 (08)
[22]   Application of AHP to Road Selection [J].
Han, Yuan ;
Wang, Zhonghui ;
Lu, Xiaomin ;
Hu, Bowei .
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020, 9 (02)
[23]   Groundwater potential mapping using multi-criteria decision, bivariate statistic and machine learning algorithms: evidence from Chota Nagpur Plateau, India [J].
Hasanuzzaman, Md ;
Mandal, Mehedi Hasan ;
Hasnine, Md ;
Shit, Pravat Kumar .
APPLIED WATER SCIENCE, 2022, 12 (04)
[24]   Groundwater Depletion: Current Trends and Future Challenges to Mitigate the Phenomenon [J].
Kazakis, Nerantzis ;
Mastrocicco, Micol ;
Chalikakis, Konstantinos .
WATER, 2024, 16 (17)
[25]   A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods [J].
Khosravi, Khabat ;
Shahabi, Himan ;
Binh Thai Pham ;
Adamowski, Jan ;
Shirzadi, Ataollah ;
Pradhan, Biswajeet ;
Dou, Jie ;
Ly, Hai-Bang ;
Grof, Gyula ;
Huu Loc Ho ;
Hong, Haoyuan ;
Chapi, Kamran ;
Prakash, Indra .
JOURNAL OF HYDROLOGY, 2019, 573 :311-323
[26]  
Kom K. P., 2024, International Journal of Energy and Water Resources, V8, P85, DOI [10.1007/s42108-022-00188-y, DOI 10.1007/S42108-022-00188-Y]
[27]  
kompasiana, about us
[28]   Groundwater Modelling in Urban Development to Achieve Sustainability of Groundwater Resources: A Case Study of Semarang City, Indonesia [J].
Lo, Weicheng ;
Purnomo, Sanidhya Nika ;
Sarah, Dwi ;
Aghnia, Sokhwatul ;
Hardini, Probo .
WATER, 2021, 13 (10)
[29]  
Malczewski J, 1999, SPATIAL MULTICRITERIA DECISION MAKING AND ANALYSIS, P11
[30]   Prediction of Damage Intensity Level Distribution in Bengkulu City, During the Mw 8.6 Bengkulu-Mentawai Earthquake in 2007, Indonesia [J].
Mase, Lindung Zalbuin ;
Wahyuni, Mira Sintia ;
Hardiansyah, Arifan Jaya ;
Syahbana, Arifan Jaya .
TRANSPORTATION INFRASTRUCTURE GEOTECHNOLOGY, 2024, 11 (02) :769-793