AHP-Based Flood Risk, Vulnerability, and Public Health Assessment in Chattogram, Bangladesh: Mitigation and Future Perspectives

Mohammad Abdul Aziz; S M Alauddin Abdullah; Sheikh Abu Bakar Siddique; Rajesh Majumder; Sirajul Islam Talukdar; Mohammad Asif Uddin Asif; Sudip Kumar Pal

doi:10.70028/dcea.v3i2.127

Authors

Mohammad Abdul Aziz Department of Civil Engineering, Port City International University, Chattogram 4209, Bangladesh Author
S M Alauddin Abdullah Department of Civil Engineering, Port City International University, Chattogram 4209, Bangladesh Author
Sheikh Abu Bakar Siddique Department of Civil Engineering, International Islamic University Chittagong, Chattogram 4318, Bangladesh Author
Rajesh Majumder Department of Environmental Science and Engineering, Bangladesh University of Textiles, Dhaka 1208, Bangladesh Author
Sirajul Islam Talukdar Department of Civil Engineering, Pabna University of Science and Technology, Pabna 6600, Bangladesh Author
Mohammad Asif Uddin Asif Department of Chemical Engineering & Technology, Southwest Petroleum University, Chengdu, Sichuan 610500, China Author
Sudip Kumar Pal Department of Civil Engineering, Chittagong University of Engineering and Technology, Chattogram 4349, Bangladesh Author

DOI:

https://doi.org/10.70028/dcea.v3i2.127

Keywords:

Analytical Hierarchy Process, GIS, Chattogram, Flood Risk Mapping, Vulnerability, Public Health

Abstract

Chattogram City Corporation (CCC), the principal port city and second largest urban economy in Bangladesh, is increasingly vulnerable to monsoon flooding, tidal backwater from the Karnaphuli River and Bay of Bengal, unplanned urbanization, and deterioration of natural drainage canals (khals). This study develops an integrated Geographic Information System (GIS) and Analytical Hierarchy Process (AHP) framework to assess flood risk across the 41 wards of CCC and examine its association with household level vulnerability and public health outcomes. Seven biophysical and anthropogenic criteria: elevation, proximity to rivers/khals, drainage congestion, rainfall intensity, land use/imperviousness, slope, and population density were standardized, weighted using Saaty’s 1–9 scale, and integrated through weighted linear overlay. The resulting pairwise comparison matrix produced a principal eigenvalue (λmax) of 7.130 and a consistency ratio (CR) of 0.016, indicating acceptable weighting consistency. Approximately 43.6% of CCC was clas-sified as having High or Very High flood risk, concentrated mainly in low lying wards of the central and southwestern areas. Questionnaire data from 360 households indicated significantly higher prevalence of waterborne diarrheal disease, skin infections, and psychological distress in Very High risk wards than in Low risk wards. The July 2026 record rainfall event, which af-fected approximately 450,000 people in the greater Chattogram area, further demonstrated the practical relevance of the risk map, with reported waterlogging hotspots broadly corresponding to High and Very High risk zones. The findings support integrated structural, non structural, and building scale interventions, alongside policy measures and future applications of remote sensing, machine learning, and participatory governance to strengthen urban flood resilience.

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References

K. Abass, “Rising incidence of urban floods: Understanding the causes for flood risk reduction in Kumasi, Ghana,” GeoJournal, vol. 87, pp. 2333–2347, 2022, doi: http://dx.doi.org/10.1007/s10708-020-10319-9

I. Douglas, S. Garvin, N. Lawson, J. Richards, J. Tippett, and I. White, “Urban pluvial flooding: A qualitative case study of cause, effect and non-structural mitigation,” J. Flood Risk Manag., vol. 3, no. 2, pp. 112–125, 2010, doi: http://dx.doi.org/10.1111/j.1753-318X.2010.01061.x

K. N. Choudhury and H. Yabar, “Flood hazard assessment and monitoring in Bangladesh: An integrated approach for disaster risk mitigation,” Earth, vol. 6, no. 3, Art. no. 90, 2025, doi: http://dx.doi.org/10.3390/earth6030090

Z. Kader, M. R. Islam, M. T. Aziz, M. M. Hossain, M. R. Islam, M. Miah, and W. Z. W. Jaafar, “GIS and AHP-based flood susceptibility mapping: A case study of Bangladesh,” Sustain. Water Resour. Manag., vol. 10, no. 5, Art. no. 170, 2024, doi: http://dx.doi.org/10.1007/s40899-024-01143-3.

F. G. R. Lopa, S. Sarker, and R. R. Rayma, “Coastal flood-driven settlement dynamics and local governance challenges in Chattogram Division of Bangladesh,” Geographies, vol. 6, no. 1, Art. no. 25, 2026, doi: http://dx.doi.org/10.3390/geographies6010025.

T. L. Saaty, “The analytic hierarchy process (AHP) for decision making,” in Proc. Kobe, vol. 1, p. 69, 1980.

A. Ghosh and S. K. Kar, “Application of analytical hierarchy process (AHP) for flood risk assessment: A case study in Malda district of West Bengal, India,” Nat. Hazards, vol. 94, no. 1, pp. 349–368, 2018, doi: http://dx.doi.org/10.1007/s11069-018-3392-y.

E. Mokhtari, F. Mezali, B. Abdelkebir, and B. Engel, “Flood risk assessment using analytical hierarchy process: A case study from the Cheliff-Ghrib watershed, Algeria,” J. Water Clim. Change, vol. 14, no. 3, pp. 694–711, 2023, doi: http://dx.doi.org/10.2166/wcc.2023.359.

M. C. Aydin and E. Sevgi Birincioğlu, “Flood risk analysis using GIS-based analytical hierarchy process: A case study of Bitlis Province,” Appl. Water Sci., vol. 12, no. 6, Art. no. 122, 2022, doi: http://dx.doi.org/10.1007/s13201-022-01655-5.

D. Diriba, T. Takele, S. Karuppannan, and M. Husein, “Flood hazard analysis and risk assessment using remote sensing, GIS, and AHP techniques: A case study of the Gidabo Watershed, main Ethiopian Rift, Ethiopia,” Geomatics Nat. Hazards Risk, vol. 15, no. 1, Art. no. 2361813, 2024, doi: http://dx.doi.org/10.1080/19475705.2024.2361813.

S. V. Shivaprasad Sharma, P. S. Roy, V. Chakravarthi, and G. Srinivasa Rao, “Flood risk assessment using multi-criteria analysis: A case study from Kopili River basin, Assam, India,” Geomatics Nat. Hazards Risk, vol. 9, no. 1, pp. 79–93, 2018, doi: http://dx.doi.org/10.1080/19475705.2017.1408705.

K. Ullah and J. Zhang, “GIS-based flood hazard mapping using relative frequency ratio method: A case study of Panjkora River Basin, eastern Hindu Kush, Pakistan,” PLoS ONE, vol. 15, no. 3, Art. no. e0229153, 2020, doi: http://dx.doi.org/10.1371/journal.pone.0229153.

A. G. Abdelgawad, E. Helal, M. F. Sobeih, and H. Elsayed, “Flood hazard mapping using a GIS-based morphometric analysis approach in arid regions, a case study in the Red Sea Region, Egypt,” Appl. Water Sci., vol. 14, no. 4, Art. no. 81, 2024, doi: http://dx.doi.org/10.1007/s13201-024-02122-z.

C. Luu, J. von Meding, and S. Kanjanabootra, “Assessing flood hazard using flood marks and analytic hierarchy process approach: A case study for the 2013 flood event in Quang Nam, Vietnam,” Nat. Hazards, vol. 90, no. 3, pp. 1031–1050, 2018, doi: http://dx.doi.org/10.1007/s11069-017-3083-0.

S. M. S. Rana, “Flood risk mapping of the flood-prone Rangpur division of Bangladesh using remote sensing and multi-criteria analysis,” Nat. Hazards Res., 2023.

N. Ahmed, M. A.-A. Hoque, N. Howlader, and B. Pradhan, “Flood risk assessment: Role of mitigation capacity in spatial flood risk mapping,” Geocarto Int., vol. 37, no. 25, pp. 8394–8416, 2022, doi: http://dx.doi.org/10.1080/10106049.2021.2004260.

G. Buchenrieder, F. M. Bela, and C. B. Kamdem, “The perception of flood risks: A case study of Babessi in rural Cameroon,” Int. J. Disaster Risk Sci., vol. 12, pp. 807–819, 2021, doi: http://dx.doi.org/10.1007/s13753-021-00375-3.

M. S. H. Mondal, T. Murayama, and S. Nishikizawa, “Assessing the flood risk of riverine households: A case study from the right bank of the Teesta River, Bangladesh,” Int. J. Disaster Risk Reduct., vol. 51, Art. no. 101758, 2020, doi: http://dx.doi.org/10.1016/j.ijdrr.2020.101758

Humanitarian Data Exchange (HDX), “Bangladesh—Administrative boundaries,” United Nations Office for the Coordination of Humanitarian Affairs (OCHA). [Online]. Available: https://data.humdata.org/m/dataset/cod-ab-bgd. [Accessed: Aug. 10, 2026].

M. B. Hosen et al., “Assessing land suitability for dragon fruit cultivation in Bangladesh: A GIS-based AHP approach,” Smart Agricultural Technology, vol. 12, Art. no. 101241, Dec. 2025, doi: http://dx.doi.org/10.1016/j.atech.2025.101241.

S. H. Erena and H. Worku, “Flood risk analysis: Causes and landscape-based mitigation strategies in Dire Dawa city, Ethiopia,” Geoenviron. Disasters, vol. 5, Art. no. 16, 2018, doi: http://dx.doi.org/10.1186/s40677-018-0110-8.

C. D. Nguyen, F. Ubukata, Q. T. Nguyen, and H. H. Vo, “Long-term improvement in precautions for flood risk mitigation: A case study in the low-lying area of central Vietnam,” Int. J. Disaster Risk Sci., vol. 12, no. 2, pp. 250–266, 2021, doi: http://dx.doi.org/10.1007/s13753-021-00337-9.

G. Parajuli, S. Neupane, S. Kunwar, R. Adhikari, and T. D. Acharya, “A GIS-based evacuation route planning in flood-susceptible area of Siraha Municipality, Nepal,” ISPRS Int. J. Geo-Inf., vol. 12, no. 7, Art. no. 286, 2023, doi: http://dx.doi.org/10.3390/ijgi12070286.