Hazard Assessment and Hazard Mapping for Kuwait

Ali Al-Hemoud , Abdulla Al-Enezi , Hassan Al-Dashti , Peter Petrov , Raafat Misak , Manar AlSaraf , Mariam Malek

International Journal of Disaster Risk Science ›› 2023, Vol. 14 ›› Issue (1) : 143 -161.

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International Journal of Disaster Risk Science ›› 2023, Vol. 14 ›› Issue (1) : 143 -161. DOI: 10.1007/s13753-023-00473-2
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Hazard Assessment and Hazard Mapping for Kuwait

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Abstract

Hazard maps are essential tools to aid decision makers in land-use planning, sustainable infrastructure development, and emergency preparedness. Despite the availability of historical data, there has been no attempt to produce hazard maps for Kuwait. In cooperation with the World Bank, this study investigated the natural and anthropogenic hazards that affect Kuwait. The objective was to assess the hazards that face Kuwait and map the hazards of most concern. Hazard maps depicting the spatial distribution of hazard-prone areas are discussed in this article. Hazard assessment maps were generated using multiple datasets and techniques, including meteorological data, satellite imagery, and GIS. Hazard profiling identified a total of 25 hazards, of which five “priority” hazards were explored in detail: (1) surface water flooding; (2) dust storms and sand encroachment; (3) drought; (4) air pollution; and (5) oil spills. The results of this study can aid decision makers in targeting the hazards of most concern. The developed maps are valuable tools for emergency response and hazard mitigation.

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Hazard mapping / Hazard prioritization / Hazard profiling / Kuwait

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Ali Al-Hemoud, Abdulla Al-Enezi, Hassan Al-Dashti, Peter Petrov, Raafat Misak, Manar AlSaraf, Mariam Malek. Hazard Assessment and Hazard Mapping for Kuwait. International Journal of Disaster Risk Science, 2023, 14(1): 143-161 DOI:10.1007/s13753-023-00473-2

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References

[1]

Abdullah W, Alzaza A, Misak R, Amjad M. Development of sustainable solutions to sand encroachment on roads in Kuwait using numerical modeling. Journal of Engineering Research, 2021, 9(2): 43-59

[2]

Ahmed, B., and I. Kelman. 2018. Measuring community vulnerability to environmental hazards: a method for combining quantitative and qualitative data. Natural Hazards Review 19(3): Article 04018008.

[3]

Al-Dousari AM, Al-Awadhi J. Dust fallout in northern Kuwait, major sources and characteristics. Kuwait Journal of Science, 2012, 39(2A): 171-187.

[4]

Al-Hemoud, A., A. Al-Dousari, H. Al-Dashti, P. Petrov, A. Al-Saleh, S. Al-Khafaji, W. Behbehani, J. Li, and P. Koutrakis. 2020. Sand and dust storm trajectories from Iraq Mesopotamian flood plain to Kuwait. Science of the Total Environment 710: Article 136291.

[5]

Al-Hemoud, A., A. Al-Dousari, R. Misak, M. Al-Sudairawi, A. Naseeb, H. Al-Dashti, and N. Al-Dousari. 2019. Economic impact and risk assessment of sand and dust storms (SDS) on the oil and gas industry in Kuwait. Sustainability 11: Article 200.

[6]

Al-Hemoud, A., A. Al-Khayat, H. Al-Dashti, J. Li, B. Alahmad, and P. Koutrakis. 2021. PM2.5 and PM10 during COVID-19 lockdown in Kuwait: Mixed effect of dust and meteorological covariates. Environmental Challenges 5: Article 100215.

[7]

Al-Hemoud A, Gasana J, Alajeel A, Alhamoud E, Al-Shatti A, Al-Khayat A. Ambient exposure of O3 and NO2 and associated health risk in Kuwait. Environmental Science Pollution Research, 2021, 28: 14917-14926

[8]

Alahmad, B., A. Al-Hemoud, C.M. Kang, F. Almarri, V. Kommula, J.M. Wolfson, A.S. Bernstein, E. Garshick, et al. 2021. A two-year assessment of particulate air pollution and sources in Kuwait. Environmental Pollution 282: Article 117016.

[9]

Alahmad, B., L.P. Tomasso, A. Al-Hemoud, P. James, and P. Koutrakis. 2020. Spatial distribution of land surface temperatures in Kuwait: Urban heat and cool islands. International Journal of Environmental Research and Public Health 17(9): Article 2993.

[10]

Ali Z, Hussain I, Faisal M, Nazir HM, Abd-el Moemen M, Hussain T, Shamsuddin S. A novel multi-scalar drought index for monitoring drought: the standardized precipitation temperature index. Water Resources Management, 2017, 31(3–4): 4957-4969

[11]

Allen TR, Crawford T, Montz B, Whitehead J, Lovelace S, Hanks AD, Christensen AR, Kearney GD. Linking water infrastructure, public health, and sea level rise: integrated assessment of flood resilience in coastal cities. Public Works Management Policy, 2019, 24(72): 110-139

[12]

Anderson-Berry LJ. Community vulnerability to tropical cyclones: Cairns, 1996–2000. Natural Hazards, 2003, 30(2): 209-232

[13]

Antzoulatos, G., I.O. Kouloglou, M. Bakratsas, A. Moumtzidou, I. Gialampoukidis, A. Karakostas, F. Lombardo, R. Fiorin, et al. 2022. Flood hazard and risk mapping by applying an explainable machine learning framework using satellite imagery and GIS data. Sustainability 14: Article 3251.

[14]

Asim, M., A. Mekkodathil, B. Sathian, R. Elayedath, R. Kumar, P. Simkhada, E. Van Teijlingen. 2019. Post-traumatic stress disorder among the flood affected population in Indian subcontinent. Nepal Journal of Epidemiology 9: Article 755.

[15]

Athimon E, Maanan M. Vulnerability, resilience and adaptation of societies during major extreme storms during the little ice age. Climate of the Past, 2018, 14(10): 1487-1497

[16]

Bae, S., S.H. Lee, S.H. Yoo, and T. Kim. 2018. Analysis of drought intensity and trends using the modified SPEI in South Korea from 1981 to 2010. Water 10: Articel 327.

[17]

Bang HN. A concise appraisal of Cameroon’s hazard risk profile: multi-hazard inventories, causes, consequences and implications for disaster management. GeoHazards, 2022, 3(1): 55-87

[18]

Bathrellos GD, Skilodimou HD, Chousianitis K, Youssef AM, Pradhan B. Suitability estimation for urban development using multi-hazard assessment map. Science of the Total Environment, 2017, 575: 119-134

[19]

Bird DK. The use of questionnaires for acquiring information on public perception of natural hazards and risk mitigation—A review of current knowledge and practice. Natural Hazards and Earth System Sciences, 2009, 9(4): 1307-1325

[20]

Brilly M, Polic M. Public perception of flood risks, flood forecasting and mitigation. Natural Hazards and Earth System Sciences, 2005, 5(3): 345-355

[21]

Chiang F, Mazdiyasni O, AghaKouchak A. Evidence of anthropogenic impacts on global drought frequency, duration, and intensity. Nature Communications, 2021, 12(1): 1-10

[22]

Chouhan S, Mukherjee M. Design and testing of a multi-hazard risk rapid assessment questionnaire for hill communities in the Indian Himalayan Region 2022 Natural Hazards and Earth System Sciences Discussions

[23]

Clive, M.A.T., J.M. Lindsay, G.S. Leonard, C. Lutteroth, A. Bostrom, and P. Corballis. 2021. Volcanic hazard map visualisation affects cognition and crisis decision-making. International Journal of Disaster Risk Reduction 55: Article 102102.

[24]

Cook BI, Mankin JS, Anchukaitis KJ. Climate change and drought: From past to future. Current Climate Change Reports, 2018, 4: 164-179

[25]

Dabanli I. Drought risk assessment by using drought hazard and vulnerability indexes 2018 Natural Hazards and Earth System Sciences Discussions

[26]

EPA (Environmental Protection Agency). 2018. Technical assistance document for the reporting of daily air quality—The air quality index (AQI). Office of air quality planning and standards, Air quality assessment division, Research Triangle Park, NC, USA.

[27]

Erian E, Katlan B, Babah O. Drought vulnerability in the Arab region: global assessment report on disaster risk reduction, 2010, Geneva: United Nations International Strategy for Disaster Reduction

[28]

Eriksen SH, Kelly PM. Developing credible vulnerability indicators for climate adaptation policy assessment. Mitigation Adaptation Strategies for Global Change, 2007, 12(4): 495-524

[29]

Farahat, A. 2016. Air pollution in the Arabian Peninsula (Saudi Arabia, the United Arab Emirates, Kuwait, Qatar, Bahrain, and Oman): Causes, effects, and aerosol categorization. Arabian Journal of Geosciences 9: Article 196.

[30]

Feng B, Wang J, Zhang Y, Hall B, Zeng C. Urban flood hazard mapping using a hydraulic–GIS combined model. Natural Hazards, 2020, 100(3): 1089-1104

[31]

Fingas, M., and C.E. Brown. 2018. A review of oil spill remote sensing. Sensors 18(1): Article 91.

[32]

Francis, D., J.P. Chaboureau, N. Nelli, J. Cuesta, N. Alshamsi, M. Temimi, O. Pauluis, and L. Xue. 2021. Summertime dust storms over the Arabian Peninsula and impacts on radiation, circulation, cloud development and rain. Atmospheric Research 250: Article 105364.

[33]

Gómez, D., P. Salvador, J. Sanz, C. Casanova, and J.L. Casanova. 2018. Detecting areas vulnerable to sand encroachment using remote sensing and GIS techniques in Nouakchott, Mauritania. Remote Sensing 10: Article 1541.

[34]

Grimaldi S, Petroselli A, Arcangeletti E, Nardi F. Flood mapping in ungauged basins using fully continuous hydrologic-hydraulic modeling. Journal of Hydrology, 2013, 487: 39-47

[35]

Hamdan, A.N.A., S. Almuktar, and M. Scholz. 2021. Rainfall-runoff modeling using the HEC-HMS model for the Al-Adhaim River catchment, northern Iraq. Hydrology 8: Article 58.

[36]

Haynes K, Barclay J, Pidgeon N. Whose reality counts? Factors affecting the perception of volcanic risk. Journal of Volcanology Geothermal Research, 2008, 172(3–4): 259-272

[37]

Hermida L, Merino A, Sánchez J, Fernández-González S, García-Ortega E, López L. Characterization of synoptic patterns causing dust outbreaks that affect the Arabian Peninsula. Atmospheric Research, 2018, 199(4): 29-39

[38]

Kalantari Z, Ferreira CSS, Keesstra S, Destouni G. Nature-based solutions for flood-drought risk mitigation in vulnerable urbanizing parts of East-Africa. Current Opinion in Environmental Science Health, 2018, 5: 73-78

[39]

Kappes MS, Papathoma-Koehle M, Keiler M. Assessing physical vulnerability for multi-hazards using an indicator-based methodology. Applied Geography, 2012, 32(2): 577-590

[40]

Kienberger S, Lang S, Zeil P. Spatial vulnerability units—expert-based spatial modelling of socio-economic vulnerability in the Salzach catchment, Austria. Natural Hazards and Earth System Sciences, 2009, 9(3): 767-778

[41]

Kroll JH, Heald CL, Cappa CD, Farmer DK, Fry JL, Murphy JG, Steiner AL. The complex chemical effects of COVID-19 shutdowns on air quality. Nature Chemistry, 2020, 12(9): 777-779

[42]

Lamichhane N, Sharma S. Effect of input data in hydraulic modeling for flood warning systems. Hydrological Sciences Journal, 2018, 63(6): 938-956

[43]

Li, J., E. Garshick, A. Al-Hemoud, S. Huang, and P. Koutrakis. 2020. Impacts of meteorology and vegetation on surface dust concentrations in Middle Eastern countries. Science of the Total Environment 712: Article 136597.

[44]

Li J, Wang Z, Wu X, Zscheischler J, Guo S, Chen X. A standardized index for assessing sub-monthly compound dry and hot conditions with application in China. Hydrology Earth System Sciences, 2021, 25: 1587-1601

[45]

Lindell MK, Whitney DJ. Correlates of household seismic hazard adjustment adoption. Risk Analysis, 2000, 20(1): 13-26

[46]

Liu K, Wang M, Cao Y, Zhu W, Yang G. Susceptibility of existing and planned Chinese railway system subjected to rainfall-induced multi-hazards. Transportation Research Part A: Policy Practice, 2018, 117: 214-226.

[47]

Mahendra R, Mohanty P, Bisoyi H, Kumar TS, Nayak S. Assessment and management of coastal multi-hazard vulnerability along the Cuddalore–Villupuram, east coast of India using geospatial techniques. Ocean Coastal Management, 2011, 54: 302-311

[48]

McKee, T.B., N.J. Doesken, and J. Kleist. 1993. The relationship of drought frequency and duration to time scales. In Proceedings of the 8th Conference on Applied Climatology, 17–22 January 1993, Boston, USA, 179–183.

[49]

Mehrabi A. Detecting areas vulnerable to sand encroachment using remote sensing and GIS techniques; Case study: Rigan, Fahraj and Narmashir Counties, Kerman Province. Journal of Natural Environmental Hazards, 2020, 9: 47-62.

[50]

Merlone A, Al-Dashti H, Faisal N, Cerveny RS, AlSarmi S, Bessemoulin P, Brunet M, Driouech F Temperature extreme records: World meteorological organization metrological and meteorological evaluation of the 540 °C observations in Mitribah, Kuwait and Turbat, Pakistan in 2016/2017. International Journal of Climatology, 2019, 39(13): 5154-5169

[51]

Michikawa T, Yamazaki S, Shimizu A, Nitta H, Kato K, Nishiwaki Y, Morokuma S. Exposure to Asian dust within a few days of delivery is associated with placental abruption in Japan: a case-crossover study. BJOG: An International Journal of Obstetrics Gynaecology, 2020, 127(3): 335-342

[52]

Miles S, Keefer D. Toward a comprehensive areal model of earthquake-induced landslides. Natural Hazards Review, 2009, 10(1): 19-28

[53]

Mokhtar, E.S., B. Pradhan, A.H. Ghazali, and H.Z.M. Shafri. 2018. Assessing flood inundation mapping through estimated discharge using GIS and HEC-RAS model. Arabian Journal of Geosciences 11: Article 682.

[54]

Mun, Y.S., W.H. Nam, M.G. Jeon, N.K. Bang, and T. Kim. 2020. Assessment of vulnerability to drought disaster in agricultural reservoirs in South Korea. Atmosphere 11: Article 1244.

[55]

Nachappa, T.G., O. Ghorbanzadeh, K. Gholamnia, and T. Blaschke. 2020. Multi-hazard exposure mapping using machine learning for the State of Salzburg, Austria. Remote Sensing 12: Article 2757.

[56]

Nam WH, Hayes MJ, Svoboda MD, Tadesse T, Wilhite DA. Drought hazard assessment in the context of climate change for South Korea. Agricultural Water Management, 2015, 160: 106-117

[57]

Nasrollahi, M., H. Khosravi, A. Moghaddamnia, A. Malekian, and S. Shahid. 2018. Assessment of drought risk index using drought hazard and vulnerability indices. Arabian Journal of Geosciences 11: Article 606.

[58]

Naz, S., M.F. Iqbal, I. Mahmood, and M. Allam. 2021. Marine oil spill detection using Synthetic Aperture Radar over Indian Ocean. Marine Pollution Bulletin 162: Article 111921.

[59]

Newarab. 2018. Kuwait flood damages estimated at over $300 million. https://www.alaraby.co.uk/english/news/2018/11/12/kuwait-flood-damages-estimated-at-over-300-million. Accessed 30 Jan 2023.

[60]

Nguyen TT, Bonetti J, Rogers K, Woodroffe CD. Indicator-based assessment of climate-change impacts on coasts: a review of concepts, methodological approaches and vulnerability indices. Ocean Coastal Management, 2016, 123: 18-43

[61]

Nones M. Flood hazard maps in the European context. Water International, 2017, 42(3): 324-332

[62]

Ntajal J, Lamptey BL, Mahamadou IB, Nyarko BK. Flood disaster risk mapping in the lower Mono river basin in Togo, West Africa. International Journal of Disaster Risk Reduction, 2017, 23: 93-103

[63]

Nunziata, F., A. Buono, and M. Migliaccio. 2018. COSMO–SkyMed synthetic aperture radar data to observe the deepwater horizon oil spill. Sustainability 10: Article 3599.

[64]

Nyarko BK, Diekkrüger B, Van De Giesen NC, Vlek PL. Floodplain wetland mapping in the White Volta river basin of Ghana. GIScience Remote Sensing, 2015, 52(3): 374-395

[65]

Orimoloye IR, Belle JA, Olusola AO, Busayo ET, Ololade OO. Spatial assessment of drought disasters, vulnerability, severity and water shortages: a potential drought disaster mitigation strategy. Natural Hazards, 2021, 105(3): 2735-2754

[66]

Pandey R, Jha S. Climate vulnerability index-measure of climate change vulnerability to communities: a case of rural Lower Himalaya, India. Mitigation Adaptation Strategies for Global Change, 2012, 17: 487-506

[67]

Park, S., S.J. Kim, H. Yu, C.H. Lim, E. Park, J. Kim, and W.K. Lee. 2020. Developing an adaptive pathway to mitigate air pollution risk for vulnerable groups in South Korea. Sustainability 12: Article 1790.

[68]

Park SH, Jung HS, Lee MJ, Lee WJ, Choi MJ. Oil spill detection from PlanetScope satellite image: application to oil spill accident near Ras Al Zour area, Kuwait in August 2017. Journal of Coastal Research, 2019, 90(sp1): 251-260

[69]

Pourghasemi HR, Gayen A, Panahi M, Rezaie F, Blaschke T. Multi-hazard probability assessment and mapping in Iran. Science of the Total Environment, 2019, 692: 556-571

[70]

Rolfe MI, Pit SW, McKenzie JW, Longman J, Matthews V, Bailie R, Morgan GG. Social vulnerability in a high-risk flood-affected rural region of NSW. Australia. Natural Hazards, 2020, 101(3): 631-650

[71]

Sajjad M, Li Y, Tang Z, Cao L, Liu X. Assessing hazard vulnerability, habitat conservation, and restoration for the enhancement of mainland China's coastal resilience. Earth's Future, 2018, 6: 326-338

[72]

Sarmah, T., S. Das, A. Narendr, and B.H. Aithal. 2020. Assessing human vulnerability to urban flood hazard using the analytic hierarchy process and geographic information system. International Journal of Disaster Risk Reduction 50: Article 101659.

[73]

Sathya A, Thampi SG. Flood inundation mapping of Cauvery River using HEC-RAS and GIS. Advances in Civil Engineering, 2021, 83: 15-23

[74]

Shah AA, Ye J, Abid M, Khan J, Amir SM. Flood hazards: household vulnerability and resilience in disaster-prone districts of Khyber Pakhtunkhwa province. Pakistan. Natural Hazards, 2018, 93(1): 147-165

[75]

Sherif M, Almulla M, Shetty A, Chowdhury RK. Analysis of rainfall, PMP and drought in the United Arab Emirates. International Journal of Climatology, 2014, 34(4): 1318-1328

[76]

Solana MC, Kilburn CR. Public awareness of landslide hazards: the Barranco de Tirajana, Gran Canaria. Spain. Geomorphology, 2003, 54(1–2): 39-48

[77]

Song, J., Z. Chang, W. Li, Z. Feng, J. Wu, Q. Cao, and J. Liu. 2019. Resilience-vulnerability balance to urban flooding: a case study in a densely populated coastal city in China. Cities 95: Article 102381.

[78]

Spinoni J, Vogt JV, Naumann G, Barbosa P, Dosio A. Will drought events become more frequent and severe in Europe?. International Journal of Climatology, 2018, 38(4): 1718-1736

[79]

Tahmid, M., S. Dey, and S.R. Syeda. 2020. Mapping human vulnerability and risk due to chemical accidents. Journal of Loss Prevention in the Process Industries 68: Article 104289.

[80]

Tamiru, H., and M.O. Dinka. 2021. Application of ANN and HEC-RAS model for flood inundation mapping in lower Baro Akobo River Basin, Ethiopia. Journal of Hydrology: Regional Studies 36: Article 100855.

[81]

Tilloy, A., B.D. Malamud, H. Winter, and A. Joly-Laugel. 2019. A review of quantification methodologies for multi-hazard interrelationships. Earth-Science Reviews 196: Article 102881.

[82]

Tomaszewski, B.M., E.A. Moore, K. Parnell, A.M. Leader, W.R. Armington, O. Aponte, L. Brooks, B.K. Herold, et al. 2020. Developing a geographic information capacity (GIC) profile for disaster risk management under United Nations framework commitments. International Journal of Disaster Risk Reduction 47: Article 101638.

[83]

Tomaszkiewicz, M.A. 2021. Future seasonal drought conditions over the CORDEX-MENA/Arab Domain. Atmosphere 12: Article 856.

[84]

UNDRR (United Nations Office for Disaster Risk Reduction). 2022. Terminology. Geneva: United Nations Office for Disaster Risk Reduction. www.undrr.org/terminology. Accessed 15 Aug 2022.

[85]

Urrutia-Pereira M, Rizzo LV, Staffeld PL, Chong-Neto HJ, Viegi G, Solé D. Dust from the Sahara to the American Continent: health impacts: dust from Sahara. Allergologia et Immunopathologia, 2021, 49: 187-194

[86]

WHO (World Health Organization). 2021. WHO global air quality guidelines—Particulate matter (PM2.5 and PM10), ozone, nitrogen dioxide, sulfur dioxide and carbon monoxide. Geneva: World Health Organization.

[87]

Yadav DK, Barve A. Analysis of socioeconomic vulnerability for cyclone-affected communities in coastal Odisha, India. International Journal of Disaster Risk Reduction, 2017, 22: 387-396

[88]

Yassin M, Almutairi S, Al-Hemoud A. Dust storms backward trajectories’ and source identification over Kuwait. Atmospheric Research, 2018, 212: 158-171

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