Natural Hazards

, Volume 91, Issue 2, pp 803–818 | Cite as

Investigation of inducements and defenses of flash floods and urban waterlogging in Fuzhou, China, from 1950 to 2010

  • Meihong Ma
  • Huixiao Wang
  • Pengfei Jia
  • Ronghua Liu
  • Zhen Hong
  • Laura Gabrielle Labriola
  • Yang Hong
  • Lijuan Miao
Original Paper


In recent years, flash floods and urban waterlogging have become a widespread phenomenon in Fuzhou, which pose a serious threat to people’s lives and property. The primary disaster-causing factors include the intensity and duration of rainfall. Therefore, this article analyzes the characteristics, causes of rainfall, and the existing problems of the two disasters in Fuzhou. The main conclusions are as follows: (1) The rainfall in Fuzhou is concentrated in March to September, with high rainfall intensity and rainfall amounts, and frequent extreme rainfall events combined with high rainfall intensity in flash flood-prone areas are higher than that in the plains area. (2) Precipitation, geographical conditions, and urban construction mainly caused the two major disasters and are weak in technology and management. Therefore, it is necessary to adhere to both the structural measures and non-structural measures to coordinate the relationship between people and floods, to strengthen the research on the mechanisms of precipitation, and to forecast and provide early warning of flash floods and urban waterlogging, all of which can provide reference for the defensive disasters in mountainous coastal cities.


Rainfall characteristics Flash floods Urban waterlogging Fuzhou 



This work was supported by National Science Foundation for Young Scientists of China (Grant No. 51409143) and technical service projects of the China Meteorological Administration, “Technical Research on Meteorological Risk Warning of Flash Floods” (Grant No. 20142661168). The authors are grateful to Min Chen and Guanghua Zhu, who worked in Fuzhou Investigation and Surveying Institute for their help to offer the information. Great thanks are also given to Tingting Huang and ShuaishuaiXu for their help in translating this article. Additional thanks are given to three anonymous reviewers for their comments and suggestions.


  1. Abancó C, Hürlimann M, Moya J, Berenguer M (2016) Critical rainfall conditions for the initiation of torrential flows. Results from the rebaixader catchment (central pyrenees). J Hydrol 541:218–229CrossRefGoogle Scholar
  2. Ashley ST, Ashley WS (2008) Flood fatalities in the united states. J Appl Meteor Climatol 47(3):805–818CrossRefGoogle Scholar
  3. Benito G, Díez-Herrero A, Villalta MFD (2004) Flood response to solar activity in the tagus basin (central spain) over the last millennium. Clim Change 66(1–2):27–28CrossRefGoogle Scholar
  4. Black R, Bennett SR, Thomas SM, Beddington JR (2011) Climate change: migration as adaptation. Nature 478(7370):447–449CrossRefGoogle Scholar
  5. Borga M, Stoffel M, Marchi L, Marra F, Jakob M (2014) Hydrogeomorphic response to extreme rainfall in headwater systems: flash floods and debris flows. J Hydrol 518(4):194–205CrossRefGoogle Scholar
  6. Changnon SA (2008) Assessment of flood losses in the united states. J Contemp Water Res Educ 138(1):38–44CrossRefGoogle Scholar
  7. Chen X, Wang JA, Chen J (2007) Primary study on spatiotemporal change and regionalization of storm-flood in fujian province. J Nat Disasters 16(6):1–7 (in Chinese) Google Scholar
  8. Chen NZ, Lin T, Wang YF (2008) Studies on waterlogging control in downtown areas of Fuzhou City. China Water Resour 9:020 (in Chinese) Google Scholar
  9. Clark JM, Kershner MW (2011) Short- and long-term impacts of a major flood event on crayfish (orconectes obscurus) in a forested stream. Fundam Appl Limnol 179(3):225–233CrossRefGoogle Scholar
  10. Creutin JD, Borga M, Gruntfest E, Lutoff C, Zoccatelli D, Ruin I (2013) A space and time framework for analyzing human anticipation of flash floods. J Hydrol 482(5):14–24CrossRefGoogle Scholar
  11. Huang JC, Yu CK, Lee JY, Cheng LW, Lee TY, Kao SJ (2012) Linking typhoon tracks and spatial rainfall patterns for improving flood lead time predictions over a mesoscale mountainous watershed. Water Resour Res 48(9):9540CrossRefGoogle Scholar
  12. Huong HTL, Pathirana A (2013) Urbanization and climate change impacts on future urban flooding in Can Tho city, Vietnam. Hydrol Earth Syst Sci 17(1):379–394CrossRefGoogle Scholar
  13. Jonkman SN (2005) Global perspectives on loss of human life caused by floods. Nat Hazards 34(2):151–175CrossRefGoogle Scholar
  14. Klemas V (2015) Remote sensing of floods and flood-prone areas: an overview. J Coastal Res 31(4):1005–1013CrossRefGoogle Scholar
  15. Lei Y, Liu C, Zhang L, Wan J, Li D, Yue Q et al (2015) Adaptive governance to typhoon disasters for coastal sustainability: a case study in Guangdong, China. Environ Sci Policy 54:281–286CrossRefGoogle Scholar
  16. Li ZJ, Zhang K (2008) Comparison of three gis-based hydrological models. J Hydrol Eng 13(5):364–370CrossRefGoogle Scholar
  17. Li B, Yan Q, Zhang L (2011) Flood monitoring and analysis over the middle reaches of Yangtze River basin using MODIS time-series imagery. In: Geoscience and Remote Sensing Symposium, vol 38, pp 807–810Google Scholar
  18. Lin JQ, Jun-Jie MA, Wang BD, Tang XL (2004) Study on urban non-point source pollution and its control. Environ Sci Technol 1:63–65Google Scholar
  19. Looper JP, Vieux BE (2012) An assessment of distributed flash flood forecasting accuracy using radar and rain gauge input for a physics-based distributed hydrologic model. J Hydrol 412–413(1):114–132CrossRefGoogle Scholar
  20. Lyu HM, Shen SL, Sun WJ (2017) Discussion on sponge city construction under the circumstance of urban waterlogging. In: International conference on transportation infrastructure and materialsGoogle Scholar
  21. Ma Q, Yang B, Wang J (2017) Application of internet of things in urban waterlogging prevention management system. Adv Internet Things 07(1):1–9CrossRefGoogle Scholar
  22. Madsen H, Lawrence D, Lang M, Martinkova M, Kjeldsen TR (2014) Review of trend analysis and climate change projections of extreme precipitation and floods in Europe. J Hydrol 519:3634–3650CrossRefGoogle Scholar
  23. Michel-Kerjan E, Kunreuther H (2011) Redesigning flood insurance. Science 333(6041):408–409CrossRefGoogle Scholar
  24. NWS (2014) National weather service glossary, U.S. Last Accessed 08 Oct 2014
  25. Pandey AC, Singh SK, Nathawat MS (2010) Waterlogging and flood hazards vulnerability and risk assessment in indo gangetic plain. Nat Hazards 55(2):273–289CrossRefGoogle Scholar
  26. Rui X, Jiang C, Chen Q, Ding X (2015) Principle analysis and application of storm water management model on stimulating rainfall-runoff. Adv Sci Tech Water Resour 35(4):1–5Google Scholar
  27. Saharia M, Kirstetter PE, Gourley JJ, Hong Y, Vergara HJ (2015) Mapping flash flood severity in the united states. J Hydrometeorol 18(2):397–411CrossRefGoogle Scholar
  28. Schmitt TG, Thomas M, Ettrich N (2004) Analysis and modeling of flooding in urban drainage systems. J Hydrol 299(3–4):300–311CrossRefGoogle Scholar
  29. Scoccimarro E, Gualdi S, Bellucci A, Zampieri M, Navarra A (2016) Heavy precipitation events over the Euro-Mediterranean region in a warmer climate: results from CMIP5 models. Reg Environ Change 16(3):595–602CrossRefGoogle Scholar
  30. Shao RW, Wong DL (2015) Analysis of government public propagation strategy in new media environment. Special Zone Practice and Theory 1:63–66Google Scholar
  31. Singkran N, Kandasamy J (2016) Developing a strategic flood risk management framework for Bangkok, Thailand. Nat Hazards 84(2):1–25CrossRefGoogle Scholar
  32. Song J, Chen W, Guo K, Yu L (2014) Research on drainage scheme of Jiangbei district of Fuzhou city. Urban Roads Bridges Flood Control 8:152–155Google Scholar
  33. Stefanidis S, Stathis D (2013) Assessment of flood hazard based on natural and anthropogenic factors using analytic hierarchy process (ahp). Nat Hazards 68(2):569–585CrossRefGoogle Scholar
  34. Swiss-Re (2015) Natural catástrofes and Man-Made Disasters in 2014: convective and winter storms generate most losses. Swiss Re Ltd-Economic Research and Consulting, Zurich, Swiss Re-Sigma No. 2/2015, 52 pGoogle Scholar
  35. Tokar A, Paulson R, Sponberg K et al (2006) Asia flood network: USAID/OFDA flood mitigation and preparedness program in Asia. In: 4th annual mekong flood forum, Siem Reap, Cambodia, vol 5, pp 18–19Google Scholar
  36. Wen MZ (2014) Based on the short-term heavy rainfall of Fujian mountain flood disaster risk zoning. In: Annual meeting of china meteorological society (in Chinese)Google Scholar
  37. Xu YZ, Jiang F (2011) Study the equipment based on fast flood discharge. Adv Mater Res 199–200:476–480CrossRefGoogle Scholar
  38. You L, Rosegrant MW, Fang C, Wood S (2005) Impact of global warming on Chinese wheat productivity. International Food Policy Research Institute (IFPRI), WashingtonGoogle Scholar
  39. Zhang JY, Wang GW, Zhang JX, Sun CP (2005) Flood forecasting and regulating system based on web: development and application. Water Resour Hydropower EngGoogle Scholar
  40. Zhang K, Xue X, Hong Y, Gourley JJ, Lu N, Wan Z, Hong Z, Wooten R (2016) iCRESTRIGRS: a coupled modeling system for cascading flood-landslide disaster forecasting. Hydrol Earth Syst Sci 20:5035–5048. CrossRefGoogle Scholar
  41. Zhou B (2010) Analysis and demonstration of high rise scheme. Water Resour Technol Heilongjiang Province 38(1):155–156 (in Chinese) Google Scholar

Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  • Meihong Ma
    • 1
  • Huixiao Wang
    • 1
  • Pengfei Jia
    • 2
  • Ronghua Liu
    • 3
  • Zhen Hong
    • 4
  • Laura Gabrielle Labriola
    • 4
    • 5
  • Yang Hong
    • 4
    • 5
    • 6
  • Lijuan Miao
    • 7
    • 8
  1. 1.Beijing Normal UniversityBeijingChina
  2. 2.CITIC Construction Co., LtdBeijingChina
  3. 3.China Institute of Water Resources and Hydropower ResearchBeijingChina
  4. 4.Schoolof Civil Engineering and Environmental ScienceUniversity of OklahomaNormanUSA
  5. 5.Advanced Radar Research CenterUniversity of OklahomaNormanUSA
  6. 6.State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic EngineeringTsinghua UniversityBeijingChina
  7. 7.School of GeographyNanjing University of Information Science and TechnologyNanjingChina
  8. 8.Leibniz Institute of Agricultural Development in Transition Economies Halle (Saale)HalleGermany

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