EVALUATION OF FLOOD SUSCEPTIBILITY MAPPING IN KEDAH WITH AHP AND GIS: A CASE STUDY OF KOTA SETAR AND PADANG TERAP, KEDAH MALAYSIA

Authors

  • Wan Nurnabila Imani Faculty of Built Environment, UNIVERSITI TEKNOLOGI MARA, PERLIS BRANCH, ARAU CAMPUS, MALAYSIA
  • Ernieza Suhana Mokhtar Faculty of Built Environment, UNIVERSITI TEKNOLOGI MARA, PERAK BRANCH, SERI ISKANDAR CAMPUS, MALAYSIA
  • Muhammad Hanif Department of Geography, STATE UNIVERSITY OF PADANG, INDONESIA
  • Idrees Mohammed O. Department of Surveying and Geoinformatics, UNIVERSITY OF ILORIN, NIGERIA

DOI:

https://doi.org/10.21837/pm.v23i36.1706

Keywords:

Analytical Hierarchy Process (AHP), GIS, Malaysia Flood Mapping, Weighted Overlay Analysis

Abstract

Model estimations of flood susceptibility often face challenges in assigning appropriate weights to factors that contribute to flooding. This study focuses on evaluating flood-prone areas in Kota Setar and Padang Terap, Kedah, Malaysia, by applying optimum weights to proposed flood parameters using the Analytical Hierarchy Process (AHP) model integrated with a Geographic Information System (GIS). Physical features, including slope, elevation, topographic wetness index (TWI), and flow accumulation, were extracted using Interferometric Synthetic Aperture Radar (IFSAR) data, alongside land use and rainfall data. For validation, approximately 1,279 historical flood marks from the Department of Irrigation and Drainage (DID) were used. The resulting flood susceptibility map and historical flood data aligned well with an RMSE of 92.2% after weighted flood parameter integration. The most significant contributors to flood susceptibility were identified as slope (39%), land use (21%), rainfall (19%), and elevation (11%). The findings indicate that that optimizing parameters with weights improves susceptible area prediction for future flood mapping research using AHP and GIS.

Downloads

Download data is not yet available.

References

AlAli, A. M., Salih, A., & Hassaballa, A. (2023). Geospatial-Based Analytical Hierarchy Process (AHP) and Weighted Product Model (WPM) Techniques for Mapping and Assessing Flood Susceptibility in the Wadi Hanifah Drainage Basin, Riyadh Region, Saudi Arabia. Water (Switzerland), 15(10). https://doi.org/10.3390/w15101943 DOI: https://doi.org/10.3390/w15101943

Bernama. (2022). Gov't allocates RM1.3 billion for flood mitigation projects in Kedah. Astro Awani. Retrieved from https://international.astroawani.com/malaysia-news/govt-allocates-rm13-billion-flood-mitigation-projects-kedah-379132

Dano, U. L. (2021). An AHP-based Assessment of Flood Triggering Factors to Enhance Resiliency in Dammam, Saudi Arabia. GeoJournal. https://doi.org/10.1007/s10708-020-10363-5 DOI: https://doi.org/10.1007/s10708-020-10363-5

Dano, U. L., Balogun, A. L., Matori, A. N., Yusouf, K. W., Abubakar, I. R., Mohamed, M. A. S., Aina, Y. A., & Pradhan, B. (2019). Flood Susceptibility Mapping Using GIS-Based Analytic Network Process: A Case Study of Perlis, Malaysia. Water (Switzerland), 11(3). https://doi.org/10.3390/w11030615 DOI: https://doi.org/10.3390/w11030615

Das, S. (2019). Geospatial Mapping of Flood Susceptibility and Hydro-geomorphic Response to the Floods in Ulhas Basin, India. Remote Sensing Applications: Society and Environment, 14, 60–74. https://doi.org/10.1016/j.rsase.2019.02.006 DOI: https://doi.org/10.1016/j.rsase.2019.02.006

Department of Irrigation and Drainage (DID). (2022). Laporan Banjir Tahunan 2010-2020.

Department of Irrigation and Drainage (DID). (2024, August 24). Flood Hotspot in the State of Kedah. DID Kedah Instagram. Retrieved from https://www.instagram.com/jps_kedah/p/C_Cex9msqG_/

Eslaminezhad, S. A., Eftekhari, M., Azma, A., Kiyanfar, R., & Akbari, M. (2022). Assessment of Flood Susceptibility Prediction Based on Optimized Tree-based Machine Learning Models. Journal of Water and Climate Change, 13(6), 2353–2385. https://doi.org/10.2166/wcc.2022.435 DOI: https://doi.org/10.2166/wcc.2022.435

González-álvarez, Á., Viloria-Marimón, O. M., Coronado-Hernández, Ó. E., Vélez-Pereira, A. M., Tesfagiorgis, K., & Coronado-Hernández, J. R. (2019). Isohyetal Maps of Daily Maximum Rainfall for Different Return Periods for the Colombian Caribbean Region. Water (Switzerland), 11(2). https://doi.org/10.3390/w11020358 DOI: https://doi.org/10.3390/w11020358

Kaya, C. M., & Derin, L. (2023). Parameters and methods used in flood susceptibility mapping: a review. Journal of Water and Climate Change, 14(6), 1935–1960. https://doi.org/10.2166/wcc.2023.035 DOI: https://doi.org/10.2166/wcc.2023.035

Lappas, I., & Kallioras, A. (2019). Flood Susceptibility Assessment through GIS-Based Multi-Criteria Approach and Analytical Hierarchy Process (AHP) in a River Basin in Central Greece. International Research Journal of Engineering and Technology, 06(03), 738–751.

Loumi, K., & Redjem, A. (2021). Integration of GIS and Hierarchical Multi-Criteria Analysis for Mapping Flood Vulnerability the Case Study of M’sila, Algeria. Technology & Applied Science Research, 11(4). DOI: https://doi.org/10.48084/etasr.4266

Mabahwi, N. A., & Nakamura, H. (2024). Enhanced GIS-Based Multi-Criteria Decision Analysis for Optimal Flood Shelter Site Selection: A Case Study of Kuantan, Malaysia. Planning Malaysia, 22(34). https://doi.org/10.21837/pm.v22i34.1587 DOI: https://doi.org/10.21837/pm.v22i34.1587

Mokhtar, E. S., Pradhan, B., Ghazali, A. H., & Shafri, H. Z. M. (2017). Comparative Assessment of Water Surface Level Using Different Discharge Prediction Models. Natural Hazards, 87(2), 1125–1146. https://doi.org/10.1007/s11069-017-2812-8 DOI: https://doi.org/10.1007/s11069-017-2812-8

Munier, N., & Hontoria, E. (2021). Management for Professionals Uses and Limitations of the AHP Method A Non-Mathematical and Rational Analysis. http://www.springer.com/series/10101 DOI: https://doi.org/10.1007/978-3-030-60392-2

Narimani, R., Jun, C., Shahzad, S., Oh, J., & Park, K. (2021). Application of a Novel Hybrid Method for Flood Susceptibility Mapping with Satellite Images: A Case Study of Seoul, Korea. Remote Sensing, 13(14). https://doi.org/10.3390/rs13142786 DOI: https://doi.org/10.3390/rs13142786

Nsangou, D., Kpoumié, A., Mfonka, Z., Ngouh, A. N., Fossi, D. H., Jourdan, C., Mbele, H. Z., Mouncherou, O. F., Vandervaere, J. P., & Ndam Ngoupayou, J. R. (2021). Urban Flood Susceptibility Modelling Using AHP and GIS Approach: Case of the Mfoundi Watershed at Yaoundé in the South-Cameroon Plateau. Scientific African, 15. https://doi.org/10.1016/j.sciaf.2021.e01043 DOI: https://doi.org/10.1016/j.sciaf.2021.e01043

Saaty, T. L. (1988). What is the Analytic Hierarchy Process? 48, 109–121. https://doi.org/10.1007/978-3-642-83555-1_5 DOI: https://doi.org/10.1007/978-3-642-83555-1_5

Said, M. Z., Abdul Gapor, S., & Hamat, Z. (2024). Flood Vulnerability and Adaptation Assessment in Padang Terap District, Kedah, Malaysia. Planning Malaysia, 22(31). https://doi.org/10.21837/pm.v22i31.1450 DOI: https://doi.org/10.21837/pm.v22i31.1450

Saleh, A., Yuzir, A., & Sabtu, N. (2022). Flash Flood Susceptibility Mapping of Sungai Pinang Catchment Using Frequency Ratio. Sains Malaysiana, 51(1), 51–65. https://doi.org/10.17576/jsm-2022-5101-05 DOI: https://doi.org/10.17576/jsm-2022-5101-05

Swain, K. C., Singha, C., & Nayak, L. (2020). Flood Susceptibility Mapping Through the GIS-AHP Technique Using the Cloud. ISPRS International Journal of Geo-Information, 9(12). https://doi.org/10.3390/ijgi9120720 DOI: https://doi.org/10.3390/ijgi9120720

Tariq, A., Yan, J., Ghaffar, B., Qin, S., Mousa, B. G., Sharifi, A., Huq, M. E., & Aslam, M. (2022). Flash Flood Susceptibility Assessment and Zonation by Integrating Analytic Hierarchy Process and Frequency Ratio Model with Diverse Spatial Data. Water (Switzerland), 14(19). https://doi.org/10.3390/w14193069 DOI: https://doi.org/10.3390/w14193069

Tella, A., & Balogun, A. L. (2020). Ensemble fuzzy MCDM for spatial assessment of flood susceptibility in Ibadan, Nigeria. Nat Hazards, 104, 2277–2306. https://doi.org/10.1007/s11069-020-04272-6 DOI: https://doi.org/10.1007/s11069-020-04272-6

Vojtek, M., Vojteková, J., Costache, R., Pham, Q. B., Lee, S., Arshad, A., Sahoo, S., Linh, N. T. T., & Anh, D. T. (2021). Comparison of Multi-Criteria-Analytical Hierarchy Process and Machine Learning-boosted Tree Models for Regional Flood Susceptibility Mapping: A Case Study from Slovakia. Geomatics, Natural Hazards and Risk, 12(1), 1153–1180. https://doi.org/10.1080/19475705.2021.1912835 DOI: https://doi.org/10.1080/19475705.2021.1912835

Zulkiffli, Z. (2021). Banjir di Kedah Semakin Buruk. Berita Harian. Retrieved from https://www.bharian.com.my/berita/nasional/2021/11/883160/banjir-di-kedah-semakin-buruk

Downloads

Published

2025-04-27

How to Cite

Imani, W. N., Mokhtar, E. S., Hanif, M., & Mohammed O., I. (2025). EVALUATION OF FLOOD SUSCEPTIBILITY MAPPING IN KEDAH WITH AHP AND GIS: A CASE STUDY OF KOTA SETAR AND PADANG TERAP, KEDAH MALAYSIA. PLANNING MALAYSIA, 23(36). https://doi.org/10.21837/pm.v23i36.1706

Most read articles by the same author(s)