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A hybrid GIS and knowledge-driven approach for water resources potential zonation


Citation

Umar Saifuddin, Muhammad Firdaus and Ash’aari, Zulfa Hanan and Aris, Ahmad Zaharin and Mohd Kusin, Faradiella (2021) A hybrid GIS and knowledge-driven approach for water resources potential zonation. International Journal of GEOMATE, 21 (83). 56 - 64. ISSN 2186-2982; ESSN: 2186-2990

Abstract

Assessing the potential zone of groundwater is extremely important in areas that are prone to climate-related hazards and have limited access to potable water supply such as Kuala Krai, Kelantan, Malaysia. The application of GIS and remote sensing allows for faster, cheaper, and more efficient groundwater management and exploration. In this work GIS and Knowledge-Driven approach are combined in an attempt to identify groundwater potential zones in Kuala Krai. The various thematic maps prepared for delineating groundwater potential zones are lineament, lithology, soil, land use, rainfall, slope, drainage density, and elevation. The knowledge-driven technique is used to assign weights for each factor and Weighted Linear Combination (WLC) approach is used to investigate several choice possibilities and evaluate suitability according to the associated weight of each factor. The results revealed that 31.64% and 15.10% of the area in Kuala Krai were categorized as high and very high groundwater potential zones which are mostly located in the central, western, and southern parts of Kuala Krai where inter bedded sandstone, siltstone, and shale were the major geological unit. Furthermore, rainfall was also highly influential in determining groundwater potentiality. In terms of land use, forest, rubber, and oil palm were found to be suitable for high potential zones of groundwater. Moreover, the area located nearby the Kelantan River also exhibited high groundwater potentiality. The map can be used to develop and further expand groundwater utilization in Malaysia.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Forestry and Environment
DOI Number: https://doi.org/10.21660/2021.83.j2030
Publisher: GEOMATE International Society
Keywords: Groundwater potential mapping; Geospatial analysis; Multicriteria decision making; Spatial prediction
Depositing User: Ms. Nuraida Ibrahim
Date Deposited: 04 Apr 2023 06:27
Last Modified: 04 Apr 2023 06:27
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.21660/2021.83.j2030
URI: http://psasir.upm.edu.my/id/eprint/95756
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