Assessment of Groundwater Potential Using Self-Potential Method and Geological Data: A Case Study in Langsa City
Hamdani (a), Sabrian Tri Anda (b*), Zul Fadhli (c), Rachmad Almi Putra (b), Fajriani (b), Ida Ratna Nila (b), Afrahun Naziah (b), Muhammad Ari Fahril (b), Radhiyullah Armi (d)

(a) Mechanical Engineering Study Program, Faculty of Science and Technology, Universitas Samudra
Jl, Prof. Dr. Syarief Thayeb, Meurandeh, Langsa Lama, Langsa City, Aceh 24416

(b) Geophysics Study Program, Faculty of Science and Technology, Universitas Samudra
Jl, Prof. Dr. Syarief Thayeb, Meurandeh, Langsa Lama, Langsa City, Aceh 24416
*sabriantrianda[at]unsam.ac.id

(c) Geophysics Engineering Department, Faculty of Engineering, Syiah Kuala University
Jl. Teuku Nyak Arief No.441, Kopelma Darussalam, Kec. Syiah Kuala, Kota Banda Aceh, Aceh 23111

(d) Physics Study Program, Faculty of Science and Technology, Universitas Samudra
Jl, Prof. Dr. Syarief Thayeb, Meurandeh, Langsa Lama, Langsa City, Aceh 24416

Abstract

Langsa City faces significant challenges in ensuring a stable supply of clean water, as it currently depends heavily on the local water supply company (PDAM). This study aims to provide an alternative by investigating the potential of groundwater as a sustainable clean water source. The research applies the Self Potential (SP) method alongside geological base maps and Digital Elevation Models (DEM) to analyze groundwater distribution patterns. The initial focus of the study covers three key areas in Langsa City which are Birem Puntong, Lengkong, and Meurandeh. By integrating the SP method with geological data, this study seeks to establish a correlation between subsurface electrical potentials and groundwater flow, offering a more detailed understanding of the hydrogeological conditions. A two dimensional (2D) modeling approach is used to map the distribution of SP values, revealing the relationship between geological formations and potential groundwater reservoirs. This comprehensive analysis provides critical insights into the spatial variation of groundwater resources in Langsa City. The findings are expected to contribute valuable data for local water resource management, helping to identify viable groundwater sources that could serve as a reliable alternative to the current water supply system. Ultimately, this study could pave the way for more sustainable solutions to meet the growing demand for clean water in Langsa, reducing dependency on PDAM and improving water security for the region.

Keywords: Groundwater, Langsa, Self-Potential, DEM

Topic: Earth and Environmental Sciences