Abstract
Assessing flood triggering factors and risk reduction approaches are increasingly critical policy issues, particularly in global south countries that suffer the highest human and economic losses resulting from flood disasters. In Saudi Arabia, several cities have been experiencing flash floods incessant incidences in recent times, especially in the coastal cities of Dammam and Jeddah and Riyadh, which is bounded by valleys. However, there is a dearth of studies on experts’ opinions to assess flash flood triggering factors and alternative approaches to mitigating the flash flood impacts. Therefore, based on an Analytic Hierarchy Process (AHP) questionnaire survey (n = 18), the objectives of this study are to explore experts’ opinions about the influence of specific climatic and non-climatic factors that trigger flash floods and the most effectual alternative approaches for reducing flash flood occurrence in the coastal city of Dammam. The findings indicate that rainfall has the highest likelihood of triggering flash floods with a priority weight of 32%, trailed by land use (19%) and slope (18%). Elevation and soil type were adjudged the least triggering factors with priority weights of 16 and 15%, respectively. Concerning flood reduction alternative approaches, drainage management (59%) is the most important alternative approach, followed distantly by disaster warning system (16%) and raising public awareness (15%). The study recommends drainage management, installing disaster warning systems, and raising public awareness in reducing flash flood disasters in the study area and the country at large.

(Source: Dano 2018)

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Abba, A. H., Noor, Z. Z., Yusuf, R. O., Din, M. F. M., & Hassan, M. A. A. (2013). Assessing environmental impacts of municipal solid waste of Johor by analytical hierarchy process. Resources, Conservation and Recycling, 73, 188–196.
Abbas, H. B., & Routray, J. K. (2014). Assessing factors affecting flood-induced public health risks in Kassala State of Sudan. Operations Research for Health Care, 3(4), 215–225.
Abosuliman, S. S., Kumar, A., & Alam, F. (2013). Disaster preparedness and management in Saudi Arabia: An empirical investigation. International Journal of Social, Human Science and Engineering, 7(12), 295–299.
Abubakar, I. R., & Aina, Y. A. (2018). Achieving sustainable cities in Saudi Arabia: Juggling the competing urbanization challenges. In E-planning and collaboration: Concepts, methodologies, tools, and applications (pp. 234–255). IGI Global.
Abubakar, I. R., & Aina, Y. A. (2019). The prospects and challenges of developing more inclusive, safe, resilient and sustainable cities in Nigeria. Land Use Policy, 87, 104105.
Abubakar, I. R., & Dano, U. L. (2020). Sustainable urban planning strategies for mitigating climate change in Saudi Arabia. Environment, Development and Sustainability, 22, 5129–5152.
Adam, U. E. F. B. (2014). Application of Analytical Hierarchy Process (AHP) to Flood Hazard Management for Makassar City, South Sulawesi-Indonesia (Doctoral dissertation, Honolulu University of Hawaii at Manoa, May 2014).
Alhowaish, A. K. (2015). Eighty years of urban growth and socioeconomic trends in Dammam Metropolitan Area, Saudi Arabia. Habitat International, 50, 90–98.
AlQahtany, A. M., & Abubakar, I. R. (2020). Public perception and attitudes to disaster risks in a coastal metropolis of Saudi Arabia. International Journal of Disaster Risk Reduction, 44, 101422.
Al Saud, M. M. (2015). Flood Control Management for the City and Surroundings of Jeddah, Saudi Arabia. Berlin: Springer.
Alshehri, S. A., Rezgui, Y., & Li, H. (2013). Public perception of the risk of disasters in a developing economy: The case of Saudi Arabia. Natural Hazards, 65(3), 1813–1830.
Arab News. (February 18, 2017). Train derails near Dammam due to heavy floods. https://www.arabnews.com/node/1055751/saudi-arabia. Accessed 5 January 2020.
Balogun, A. L., Matori, A. N., Hamid-Mosaku, A. I., Umar Lawal, D., & Ahmed Chandio, I. (2017). Fuzzy MCDM-based GIS model for subsea oil pipeline route optimization: An integrated approach. Marine Georesources and Geotechnology, 35(7), 961–969.
Balogun, A., Quan, S., Pradhan, B., Dano, U., & Yekeen, S. (2020). An improved flood susceptibility model for assessing the correlation of flood hazard and property prices using geospatial technology and fuzzy-ANP. Journal of Environmental Informatics. https://doi.org/10.3808/jei.202000442.
Below, R., & Wallemacq, P. (2018). Annual disaster statistical review 2017. CRED, Centre for Research on the Epidemiology of Disasters, Brussels, Belgium.
Bhatkallys. (January 19, 2011). Heavy Rains Cause Disruptions in Central, Eastern Provinces of Saudi Arabia. http://www.bhatkallys.com/ur/gulf/heavy_rains_cause_disruptions_in_central_eastern_provinces_of_saudi_arabia/?lang=fa. Accessed 2 November 2020.
Brown, P., Daigneault, A. J., Tjernström, E., & Zou, W. (2018). Natural disasters, social protection, and risk perceptions. World Development, 104, 310–325.
Chen, Y. R., Yeh, C. H., & Yu, B. (2011). Integrated application of the analytic hierarchy process and the geographic information system for flood risk assessment and flood plain management in Taiwan. Natural Hazards, 59(3), 1261–1276.
Chifflard, P., Kranl, J., Zur Strassen, G., & Zepp, H. (2018). The significance of soil moisture in forecasting characteristics of flood events: A statistical analysis in two nested catchments. Journal of Hydrology and Hydromechanics, 66(1), 1–11.
Dahri, N., & Abida, H. (2017). Monte Carlo simulation-aided analytical hierarchy process (AHP) for flood susceptibility mapping in Gabes Basin (southeastern Tunisia). Environmental Earth Sciences, 76(7), 302.
Dano, U. L. (2018, May). Improving traffic safety towards sustainable built environment in Dammam City, Saudi Arabia. In IOP conference series: Earth and Environmental Science (Vol. 151, No. 1, p. 012031). IOP Publishing.
Dano, U. L. (2020). Flash flood impact assessment in Jeddah City: An analytic hierarchy process approach. Hydrology, 7(1), 10.
Dano, U. L., & AlQahtany, A. M. (2019). Issues undermining public transport utilization in Dammam city, Saudi Arabia: An expert-based analysis. Journal of Sustainability Science and Management, 14(2), 155–169.
Dano, U. L., Balogun, A. L., Abubakar, I. R., & Aina, Y. A. (2020). Transformative urban governance: Confronting urbanization challenges with geospatial technologies in Lagos, Nigeria. GeoJournal, 84, 1039–1056.
Dano, U. L., Balogun, A. L., Matori, A. N., Wan Yusouf, K., Rimi Abubakar, I., Mohamed, S., et al. (2019). Flood susceptibility mapping using GIS-based analytic network process: A case study of Perlis, Malaysia. Water, 11(3), 615.
Danumah, J. H., Odai, S. N., Saley, B. M., Szarzynski, J., Thiel, M., Kwaku, A., et al. (2016). Flood risk assessment and mapping in Abidjan district using multi-criteria analysis (AHP) model and geoinformation techniques (Cote d’Ivoire). Geoenvironmental Disasters, 3(1), 10.
Eckstein, D., Kunzel, V., & Schafer, L. (2018). The Global Climate Risk Index 2018. https://www.germanwatch.org/en/node/14987. Accessed 23 April 2020.
FitzGerald, G., Du, W., Jamal, A., Clark, M., & Hou, X. Y. (2010). Flood fatalities in contemporary Australia (1997–2008). Emergency Medicine Australasia, 22(2), 180–186.
Forman, E., & Peniwati, K. (1998). Aggregating individual judgments and priorities with the analytic hierarchy process. European journal of operational research, 108(1), 165–169.
GDCD (General Directorate of Civil Defense). (n.d.). Saudi Arabia. About Civil Defense. https://www.moi.gov.sa/wps/portal/Home/sectors/civildefence/. Accessed: 14 February 2019.
GFDRR (Global Facility for Disaster Reduction and Recovery). (n.d.). Saudi Arabia. https://www.gfdrr.org/saudi-arabia. Accessed 5 January 2020.
Gigović, L., Pamučar, D., Bajić, Z., & Drobnjak, S. (2017). Application of GIS-interval rough AHP methodology for flood hazard mapping in urban areas. Water, 9(6), 360.
Hasan, M. A., Abubakar, I. R., Rahman, S. M., Aina, Y. A., Chowdhury, M. M. I., & Khondaker, A. N. (2020). The synergy between climate change policies and national development goals: Implications for sustainability. Journal of Cleaner Production, 249, 119369.
Ishizaka, A., & Labib, A. (2011). Review of the main developments in the analytic hierarchy process. Expert Systems with Applications, 38(11), 14336–14345.
Jason, L. (February 02, 2017). Severe floods in Saudi Arabia have majorly disrupted life. https://stepfeed.com/photos-severe-floods-in-saudi-arabia-have-majorly-disrupted-life-2797. Accessed 7 December 2020.
JonLeeChannel. (February 17, 2017). Flood in Saudi Arabia: Khobar-Dammam Road. https://www.youtube.com/watch?v=6ww1j6Gxz-8. Accessed 7 December 2020.
Lawal, D. U., Matori, A. N., Hashim, A. M., Wan Yusof, K., Chandio, I. A. (2012). Detecting flood susceptible areas using GIS-based analytic hierarchy process. In 2012 International Conference on Future Environment and Energy IPCBEE, (Vol. 28, pp. 1–5). Singapore: IACSIT Press.
Lawal, D. U., Matori, A. N., Yusof, K. W., Hashim, A. M., Aminu, M., Sabri, S., Mokhtar, M. R. M. (2014). Flood susceptibility modeling: A geo-spatial technology multi-criteria decision analysis approach. Research Journal of Applied Sciences, Engineering, and Technology, 7(22), 4638–4644.
Local weather. (n.d.). Dammam Climate History. http://www.myweather2.com/City-Town/Saudi-Arabia/Dammam/climate-profile.aspx. Accessed 5 January 2020.
Lyu, H. M., Shen, J., & Arulrajah, A. (2018). Assessment of geohazards and preventative countermeasures using AHP incorporated with GIS in Lanzhou, China. Sustainability, 10(2), 304.
Macmillan Dictionary. (2020). Definition of flood. https://www.macmillandictionary.com/dictionary/british/flood_2. Accessed 16 January 2020.
Mashael Al, S. (2010). Assessment of flood hazard of Jeddah area 2009, Saudi Arabia. Journal of Water Resource and Protection, 2(9), 839–847.
Matori, A. N., Lawal, D. U., Yusof, K. W., Hashim, M. A., & Balogun, A. L. (2014). Spatial analytic hierarchy process model for flood forecasting: An integrated approach. In IOP conference series: Earth and environmental science (Vol. 20, no. 1, p. 012029). IOP Publishing.
National Research Council. (2009). Mapping the zone: Improving flood map accuracy. The National Academies Press. https://www.nap.edu/catalog/12573/mapping-the-zone-improving-flood-map-accuracy. Accessed 19 August 2020.
Nygård, H., & Broen, M. L. (2018). The role of early warning systems in natural disasters: A consideration of contextual factors. Master’s Thesis, University of Agder.
Ouma, Y., & Tateishi, R. (2014). Urban flood vulnerability and risk mapping using integrated multi-parametric AHP and GIS: Methodological overview and case study assessment. Water, 6(6), 1515–1545.
Papaioannou, G., Vasiliades, L., & Loukas, A. (2015). Multi-criteria analysis framework for potential flood prone areas mapping. Water Resources Management, 29(2), 399–418.
Pradhan, B. (2010). Flood susceptible mapping and risk area delineation using logistic regression, GIS and remote sensing. Journal of Spatial Hydrology, 9(2), 1–18.
Radwan, F., Alazba, A. A., & Mossad, A. (2019). Flood risk assessment and mapping using AHP in arid and semiarid regions. Acta Geophysica, 67(1), 215–229.
Rahman, M. T., Aldosary, A. S., Nahiduzzaman, K. M., & Reza, I. (2016). Vulnerability of flash flooding in Riyadh, Saudi Arabia. Natural Hazards, 84(3), 1807–1830.
Rahmati, O., Zeinivand, H., & Besharat, M. (2016). Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis. Geomatics, Natural Hazards and Risk, 7(3), 1000–1017.
Saaty, R. W. (2003). Decision making in complex environment: The analytic hierarchy process (AHP) for decision making and the analytic network process (ANP) for decision making with dependence and feedback. Pittsburgh: Super Decisions.
Saaty, T. L., & Kearns, K. P. (2014). Analytical planning: The organization of system. Amsterdam: Elsevier.
Saaty, T. L., & Özdemir, M. S. (2014). How many judges should there be in a group? Annals of Data Science, 1(3–4), 359–368.
Saudi Gazette. (October 22, 2018). Thunderstorm, Heavy Rain Batter Eastern Province. http://saudigazette.com.sa/article/546221. Accessed 5 January 2020.
Şener, Ş., Şener, E., Nas, B., & Karagüzel, R. (2010). Combining AHP with GIS for landfill site selection: A case study in the Lake Beyşehir catchment area (Konya, Turkey). Waste Management, 30(11), 2037–2046.
Siddayao, G. P., Valdez, S. E., & Fernandez, P. L. (2014). Analytic hierarchy process (AHP) in spatial modeling for floodplain risk assessment. International Journal of Machine Learning and Computing, 4(5), 450.
Stefanidis, S., & Stathis, D. (2013). Assessment of flood hazard based on natural and anthropogenic factors using analytic hierarchy process (AHP). Natural Hazards, 68(2), 569–585.
Tehrany, M. S., Pradhan, B., & Jebur, M. N. (2013). Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS. Journal of Hydrology, 504, 69–79.
The World Bank. (2010). World Development Report 2010: Development and Climate Change. World Bank, Washington, DC. https://openknowledge.worldbank.org/handle/10986/4387. Accessed 16 December 2019.
The World Bank. (2016). World Development Indicators 2016: Featuring the Sustainable Development Goals. The Highlights, World Bank Group, Washington DC, 2016. https://databank.worldbank.org/data/download/site-content/wdi-2016-highlights-featuring-sdgs-booklet.pdf. Accessed 19 August 2020.
U.N. Habitat. (2013). State of the World’s Cities 2012/2013: Prosperity of Cities, Routledge, 2013. https://www.researchgate.net/publication/288227655_State_of_the_world’s_cities_20122013_Prosperity_of_cities. Accessed 19 August 2020.
U.N. Habitat. (2016). Dammam CPI Profile 2016. Saudi Future Cities Programme, 2016. https://www.futuresaudicities.org/wp-content/uploads/2017/08/Damman.pdf. Accessed 16 August 2020.
United Nations. (2018). Review of SDGs Implementation: SDG11–Make Cities and Human Settlements Inclusive, Safe, Resilient and Sustainable, High-Level Political Forum on Sustainable Development. https://sustainabledevelopment.un.org/content/documents/197282018_background_notes_SDG_11_v3.pdf. Accessed 19 August 2020.
Wafi, Z. K., Malek, M. F. A., Alnajjar, S. H., & Ahmad, R. B. (2015). Early warning system for Disaster management in rural area. In 2015 International symposium on technology management and emerging technologies (ISTMET) (pp. 369–372). IEEE.
Wahlstrom, M., & Guha-Sapir, D. (2015). The Human Cost of Weather-Related Disasters 1995–2015, Geneva, Switzerland: UNISDR, 2015. https://reliefweb.int/report/world/human-cost-weather-related-disasters-1995-2015. Accessed 19 August 2020.
Yang, X. L., Ding, J. H., & Hou, H. (2013). Application of a triangular fuzzy AHP approach for flood risk evaluation and response measures analysis. Natural Hazards, 68(2), 657–674.
Youssef, A. M., Pradhan, B., & Sefry, S. A. (2016a). Flash flood susceptibility assessment in Jeddah city (Kingdom of Saudi Arabia) using bivariate and multivariate statistical models. Environmental Earth Sciences, 75(1), 12.
Youssef, A. M., Sefry, S. A., Pradhan, B., & Alfadail, E. A. (2016b). Analysis on causes of flash flood in Jeddah city (Kingdom of Saudi Arabia) of 2009 and 2011 using multi-sensor remote sensing data and GIS. Geomatics, Natural Hazards and Risk, 7(3), 1018–1042.
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Appendix A
Appendix A
Example of the factors comparison questionnaire: Comparison of flash flood triggering factors
Factor 1 | Extremely favors (9) | Very strong favors (7) | Strongly favors (5) | Slightly favors (3) | Equal (1) | Slightly favors (3) | Strongly favors (5) | Very strong favors (7) | Extremely favors (9) | Factor 2 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Question: With respect to flash flood occurrence, which factor is more likely to trigger flash flood in the study area? | |||||||||||||||||||
Rainfall | Slope | ||||||||||||||||||
Rainfall | Elevation | ||||||||||||||||||
Rainfall | Soil types | ||||||||||||||||||
Rainfall | Land use | ||||||||||||||||||
Slope | Elevation | ||||||||||||||||||
Slope | Soil types | ||||||||||||||||||
Slope | Land use | ||||||||||||||||||
Elevation | Soil types | ||||||||||||||||||
Elevation | Land use | ||||||||||||||||||
Soil types | Land use | ||||||||||||||||||
Table 3: Comparison of the Alternative Approaches Question: With respect to flash flood reduction, which alternative approach is most preferable? | |||||||||||||||||||
Disaster warning system | Raising public awareness | ||||||||||||||||||
Disaster warning system | Drainage management | ||||||||||||||||||
Disaster warning system | Evacuation | ||||||||||||||||||
Raising public awareness | Drainage management | ||||||||||||||||||
Raising public awareness | Evacuation | ||||||||||||||||||
Drainage management | Evacuation | ||||||||||||||||||
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Dano, U.L. An AHP-based assessment of flood triggering factors to enhance resiliency in Dammam, Saudi Arabia. GeoJournal 87, 1945–1960 (2022). https://doi.org/10.1007/s10708-020-10363-5
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DOI: https://doi.org/10.1007/s10708-020-10363-5



