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Simulating and mapping the risk of surge floods in multiple typhoon scenarios: a case study of Yuhuan County, Zhejiang Province, China

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Abstract

We propose a scenario-based method for simulating and mapping the risk of surge floods for use by local authorities concerned with public safety and urban planning in coastal areas. Focusing on the triad of hazard, vulnerability and adaptation capability, we estimate the comprehensive risk and display its spatial distribution using the raster calculation tool in ArcGIS. The detailed methodology is introduced via a case study of Yuhuan, an island county in Zhejiang Province, China, which is frequently affected by typhoon storm surges. First, we designed 24 typhoon scenarios and modeled the flood process in each scenario using the hydrodynamic module of MIKE 21. Second, flood depth and area were used for hazard assessment; an authorized indicator system of land use categories and a survey of emergency shelters were used for vulnerability and adaptation capability assessment, respectively; and a quantified model was used for assessment of the comprehensive risk. Lastly, we used the GIS raster calculation tool for mapping the risk of storm surges in multiple typhoon scenarios. Our principal findings are as follows: (1) Seawalls are more likely to be overtopped or destroyed by more severe storm surges with increasing typhoon intensity. (2) Most of the residential areas with inadequate emergency shelters are highly vulnerable to flood events. (3) As projected in the risk mapping, if an exceptional typhoon with a central pressure of 915 or 925 hPa made a landfall in Yuhuan, a wide range of areas would be flooded and at high risk. (4) Determining optimal strategies based on identification of risk-inducing factors is the most effective way of promoting safe and sustainable development in coastal cities.

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References

  • Ayalew L, Yamagishi H, Marui H, Kanno T (2005) Landslides in Sado Island of Japan: Part II. GIS-based susceptibility mapping with comparisons of results from two methods and verifications. Eng Geol 81(4):432–445

    Article  Google Scholar 

  • Baldock TE, Morrison N, Shimamoto T, Barnes MP, Gray D, Nielsen O (2007) Application and testing of the ANUGA tsunami model for overtopping and coastal sediment transport. In 18th Australasian coastal and ocean engineering conference and the 11th Australasian port and harbour conference 2007: 803–808. COASTS and PORTS, Institution of Engineers, Australia

  • Burzel A, Dassanayake DR, Naulin M, Kortenhaus A, Oumeraci H, Wahl T, Mudersbach C, Jensen J, Gönnert G, Sossidi K, Ujeyl G, Pasche E (2010) Integrated flood risk analysis for extreme storm surges (XtremRisK). In: Proceedings 32nd international conference coastal engineering (ICCE), ASCE, Shanghai, China

  • Crichton D (1999) The risk triangle. Natural disaster management. London, Tudor Rose, pp 102–103

    Google Scholar 

  • Danish Hydraulic Institute (DHI) (2008) MIKE 21 coastal hydraulics and oceanography, hydrodynamic module, reference manual. DHI Water and Environment, Hørsholm

    Google Scholar 

  • Emanuel KA (2005) Increasing destructiveness of tropical cyclones over the past 30 years. Nature 436(7051):686–688

    Article  CAS  Google Scholar 

  • Granger K (2001) Hazard and risk concepts, chapter 1. In: Granger K, Hayne M (eds) Natural hazards and the risks they pose to south-east Queensland. Australian Geological Survey Organization, Canberra

    Google Scholar 

  • Granger K (2003) Quantifying storm tide risk in Cairns. Nat Hazards 30:165–185

    Article  Google Scholar 

  • Greg SB, John DR, Jun HL (2012) Impacts of predicted sea level rise and extreme storm surge events on the transportation infrastructure in the San Francisco Bay region. A white paper from the California energy commission’s California climate change center. University of California, Berkeley

  • Hallegatte S, Ranger N, Mestre O, Dumas P, Corfee-Morlot J, Herweijer C, Wood RM (2011) Assessing climate change impacts, sea level rise and storm surge risk in port cities: a case study on Copenhagen. Clim Change 104(1):113–137

    Article  Google Scholar 

  • Hu J (2012) Marching unswervingly on the socialist road with Chinese characteristics and struggling for a comprehensive well-off society. Report to the 18th people’s congress of communist party of China. Renmin Press, Beijing (in Chinese)

  • Hubbert GD, McInnes KL (1999) A storm surge inundation model for coastal planning and impact studies. J Coastal Res 15:168–185

    Google Scholar 

  • IPCC (2007) Climate change: impacts, adaptation and vulnerability: Technical Summary. WMO

  • IPCC (2013) Climate change 2013: the physical science basis. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge

  • Jelesnianski CP, Chen J, Shaffer WA (1992) SLOSH: Sea, lake, and overland surges from hurricanes. US department of commerce, national oceanic and atmospheric administration. National Weather Service

  • Jianhai X (2009) Marine science and technology in China: a roadmap to 2050. Science Press and Springer, New York

    Google Scholar 

  • Jonkman SN, Kok M, Ledden M, Vrijling JK (2009) Risk-based design of flood defence systems: a preliminary analysis of the optimal protection level for the New Orleans metropolitan area. J Flood Risk Manag 2(3):170–181

    Article  Google Scholar 

  • Karim MF, Mimura N (2008) Impacts of climate change and sea-level rise on cyclonic storm surge floods in Bangladesh. Glob Environ Change 18(3):490–500

    Article  Google Scholar 

  • Lei XT, Xu M, Ren FM (2009) A review on the impacts of global warming on tropical cyclone activities. J Meteorol Sci 67(5):679–688 (in Chinese)

    Google Scholar 

  • Li MY, Wang J, Sun XJ (2016) Scenario-based risk framework selection and assessment model development for natural disasters: a case study of typhoon storm surges. Nat Hazards 80(3):2037–2054

    Article  Google Scholar 

  • Lin N, Emanuel K, Oppenheimer M, Vanmarcke E (2012) Physically based assessment of hurricane surge threat under climate change. Nat Clim Change 2(6):462–467

    Article  Google Scholar 

  • Luettich RA, Birkhahn RH, Westerink JJ (1991) Application of ADCIRC-2DDI to Masonboro Inlet, North Carolina. A brief numerical modeling study. Contractors report to the US army engineer waterways experiment station

  • Maantay J, Maroko A (2009) Mapping urban risk: flood hazards, race, and environmental justice in New York. Appl Geogr 29(1):111–124

    Article  Google Scholar 

  • McCarthy MP, Best MJ, Betts RA (2010) Climate change in cities due to global warming and urban effects. Geophys Res Lett 37(9):1–5

    Article  Google Scholar 

  • McInnes KL, Hubbert GD, Abbs DJ, Oliver SE (2002) A numerical modeling study of coastal flooding. Meteorol Atmos Phys 80:217–233

    Article  Google Scholar 

  • Micovic Z, Hartford DN, Schaefer MG, Barker BL (2015) A non-traditional approach to the analysis of flood hazard for dams. Stoch Env Res Risk Assess 3:1–23

    Google Scholar 

  • Nielsen O, Sexton J, Schneider J (2005) The ANUGA tsunami inundation model. In: Proceedings of ModSIM, 518–523

  • Osti R, Tanaka S, Tokioka T (2008) Flood hazard mapping in developing countries: problems and prospects. Disaster Prev Manag 17(1):104–113

    Article  Google Scholar 

  • Perez R, Gotangco CK (2013) Integrating climate change adaptation and disaster risk reduction and management. Companion resource book to the HLURB guidebook on comprehensive land use planning (CLUP)

  • Report of risk assessment and mapping of oceanic disasters (2014). Prediction center of ocean and fishery Bureau in Zhejiang, China (in Chinese)

  • State Oceanic Administration of China (SOA) (2012) Guide book of risk assessment and mapping of storm surge disasters. State Oceanic Administration of China, Beijing (in Chinese)

    Google Scholar 

  • Tate CA, Frazier TG (2013) A GIS methodology to assess exposure of coastal infrastructure to storm surge and sea-level rise: a case study of Sarasota County, Florida. J Geogr Nat Disasters Sci 1:2167

    Google Scholar 

  • Wang W (2012) Research on influence of finance agglomeration on economic development of coastal regions. Ocean University of China, Qingdao (in Chinese)

    Google Scholar 

  • Wang J, Gao W, Xu SY, Yu LZ (2012) Evaluation of the combined risk of sea level rise, land subsidence, and storm surges on the coastal areas of Shanghai, China. Clim Change 115(3–4):537–558

    Article  Google Scholar 

  • Wang J, Ye MW, Li X, Xu SY (2013) Study on the methods of risk assessment and emergency response of urban natural hazards. Science Press, Beijing (in Chinese)

    Google Scholar 

  • Watson C (1995) The arbiter of storms, a high resolution GIS based system for integrated storm hazard modeling. Nat Weather Digest 20(2):2–9

    Google Scholar 

  • Wilson J, Trenholm R, Bornemann J, Lieske D (2012) Forecasting economic damages from storm surge flooding: a case study in the Tantramar region of New Brunswick. A report for the Atlantic climate adaption solutions association

  • Wu YJ, Hayat T, Clarens A, Smith B (2013) Climate change effects on transportation infrastructure: scenario-based risk analysis using geographic information systems. Transp Res Rec 2375(1):71–81

    Article  Google Scholar 

  • Yang T, Xu CY, Shao QX, Chen X (2010) Regional flood frequency and spatial patterns analysis in the Pearl River Delta region using L-moments approach. Stoch Env Res Risk Assess 24(2):165–182

    Article  Google Scholar 

  • Yin J, Yu DP, Yin ZE, Wang J, Xu SY (2013) Modelling the combined impacts of sea-level rise and land subsidence on storm tides induced flooding of the Huangpu River in Shanghai, China. Clim Change 119:919–932

    Article  Google Scholar 

  • Yu JJ, Qin XS, Larsen O (2013) Joint Monte Carlo and possibilistic simulation for flood damage assessment. Stoch Env Res Risk Assess 27(3):725–735

    Article  Google Scholar 

  • Zou Q, Zhou JZ, Zhou C, Song LX, Guo J (2013) Comprehensive flood risk assessment based on set pair analysis-variable fuzzy sets model and fuzzy AHP. Stoch Env Res Risk Assess 27(2):525–546

    Article  Google Scholar 

Download references

Acknowledgments

This research is jointly supported by the National Natural Science Foundation of China (Grant No. 71373084) and the Shanghai Science and Technology Support Program (Grant No. 15DZ1207805). The authors would also like to thank Prof. Hui Jiang for his great help with the manuscript revision.

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Correspondence to Jun Wang.

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Li, M., Wu, W., Wang, J. et al. Simulating and mapping the risk of surge floods in multiple typhoon scenarios: a case study of Yuhuan County, Zhejiang Province, China. Stoch Environ Res Risk Assess 31, 645–659 (2017). https://doi.org/10.1007/s00477-016-1238-2

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