Abstract
The knowledge of lithological formation is important to determine the potential aquifer for water resources management. This study aims to delineate the lithological formation of Bukit Merah, Semanggol using geological data. The preparation of lithological formation in the study was based on several factors such as electrical resistivity survey data, available well lithologies, geological map, and geological-related studies in the study area. The Electrical Resistivity Tomography (ERT) profile produced from the resistivity survey was interpreted based on previous studies to determine the subsurface materials on the location. The estimation of soil lithology for the remaining wells was done to generate the overall subsoil pattern in the study area. A total of 15 types of soil were classified to represent the actual lithology in the study area. The simplification of the actual lithology was carried out based on rocks and soils group. The elevation of the ground surface and each soil layer were imported into Visual MODFLOW software, then the interpolation of elevation points was done. Two interpolators; Kriging and Natural Neighbouring were used to generate ground surface and model layers similar to the topography in the study area. As a result, it has been identified that the study areas consist of 4 main layers of lithological formation which are unconsolidated deposit, sedimentary, metamorphic, and granite. The upper layer is dominated by unconsolidated with a maximum thickness of about 150 m in the coastal area. Hence, it is concluded that the unconsolidated deposit layer in Bukit Merah is highly potential with groundwater resources in the alluvium aquifer at the upper layer which has the potential to be developed for purpose of irrigation in a paddy field in the Kerian area.
Subject
General Medicine,General Chemistry
Reference36 articles.
1. Anang, Z., Padli, J., Rashid, N. K. A., Alipiah, R. M., & Musa, H. (2019). Factors affecting water demand: macro evidence in Malaysia. Jurnal Ekonomi Malaysia, 53(1), 17-25. http://dx.doi.org//10.17576/JEM-2019-5301-2
2. Asrin, K. (2016, April 30). Padi farmers in Kerian suffer RM56 Million in losses due to El Nino. New Straits Times. https://www.nst.com.my/news/2016/04/142653/padi-farmers-kerian-suffer-rm56-million-losses-due-el-nino
3. Ashraf, M. A. M., Yusoh, R., Sazalil, M. A., & Abidin, M. H. Z. (2018). Aquifer characterization and groundwater potential evaluation in sedimentary rock formation. Journal of Physics: Conference Series, 995(1), 1-9. http://doi.org/10.1088/1742-6596/995/1/012106
4. Azizan, F. A., Mohamed Zawawi, M. A., & Abdullah, A. F. (2015). Development of 3D model view of potential groundwater aquifer for irrigation using geophysical technique. Jurnal Teknologi, 76(15), 125-130. http://doi.org/10.11113/jt.v76.5963
5. Bossi, G., Borgatti, L., Marcato, G., & Gottardi, G. (2014). Engineering Geology for Society and Territory-Volume 2: Simplification of the Stratigraphic Profile in Geotechnical Models of Landslides: An Analysis Through a Stochastic Approach (pp. 1367-1370). Springer International Publishing Switzerland. http://doi.org/10.1007/978-3-319-09057-3_241