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Use of Systematic, Palaeoflood and Historical Data for the Improvement of Flood Risk Estimation. Review of Scientific Methods

Author

Listed:
  • Gerardo Benito
  • Michel Lang
  • Mariano Barriendos
  • M. Llasat
  • Felix Francés
  • Taha Ouarda
  • Varyl Thorndycraft
  • Yehouda Enzel
  • Andras Bardossy
  • Denis Coeur
  • Bernard Bobée

Abstract

The catastrophic floods recently occurring in Europe warn of the critical need forhydrologic data on floods over long-time scales. Palaeoflood techniques provideinformation on hydrologic variability and extreme floods over long-time intervals(100 to 10,000 yr) and may be used in combination with historical flood data (last1,000 yr) and the gauge record (last 30–50 yr). In this paper, advantages anduncertainties related to the reconstruction of palaeofloods in different geomorphologicalsettings and historical floods using different documentary sources are described.Systematic and non-systematic data can be combined in the flood frequency analysisusing different methods for the adjustment of distribution functions. Technical toolsintegrating multidisciplinary approaches (geologic, historical, hydraulic and statistical)on extreme flood risk assessment are discussed. A discussion on the potential theoreticalbases for solving the problem of dealing with non-systematic and non-stationary data ispresented. This methodology is being developed using new methodological approachesapplied to European countries as a part of a European Commission funded project (SPHERE). Copyright Kluwer Academic Publishers 2004

Suggested Citation

  • Gerardo Benito & Michel Lang & Mariano Barriendos & M. Llasat & Felix Francés & Taha Ouarda & Varyl Thorndycraft & Yehouda Enzel & Andras Bardossy & Denis Coeur & Bernard Bobée, 2004. "Use of Systematic, Palaeoflood and Historical Data for the Improvement of Flood Risk Estimation. Review of Scientific Methods," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 31(3), pages 623-643, March.
    • Handle: RePEc:spr:nathaz:v:31:y:2004:i:3:p:623-643
    DOI: 10.1023/B:NHAZ.0000024895.48463.eb
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    Cited by:

    1. Rui-Song Quan, 2014. "Rainstorm waterlogging risk assessment in central urban area of Shanghai based on multiple scenario simulation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 73(3), pages 1569-1585, September.
    2. Junfei Chen & Juan Ji & Huimin Wang & Menghua Deng & Cong Yu, 2020. "Risk Assessment of Urban Rainstorm Disaster Based on Multi-Layer Weighted Principal Component Analysis: A Case Study of Nanjing, China," IJERPH, MDPI, vol. 17(15), pages 1-19, July.
    3. Mel Oliveira Guirro & Gean Paulo Michel, 2023. "Hydrological and hydrodynamic reconstruction of a flood event in a poorly monitored basin: a case study in the Rolante River, Brazil," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(1), pages 723-743, May.
    4. Huaibin Wei & Liyuan Zhang & Jing Liu, 2022. "Hydrodynamic Modelling and Flood Risk Analysis of Urban Catchments under Multiple Scenarios: A Case Study of Dongfeng Canal District, Zhengzhou," IJERPH, MDPI, vol. 19(22), pages 1-18, November.
    5. Michalis Diakakis & Spyridon Mavroulis & Giorgos Deligiannakis, 2012. "Floods in Greece, a statistical and spatial approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 62(2), pages 485-500, June.
    6. Meiling Zhou & Xiuli Feng & Kaikai Liu & Chi Zhang & Lijian Xie & Xiaohe Wu, 2021. "An Alternative Risk Assessment Model of Urban Waterlogging: A Case Study of Ningbo City," Sustainability, MDPI, vol. 13(2), pages 1-20, January.
    7. Brookhuis, B.J. & Hein, L.G., 2016. "The value of the flood control service of tropical forests: A case study for Trinidad," Forest Policy and Economics, Elsevier, vol. 62(C), pages 118-124.
    8. Fanfan Huang & Dan Zhu & Yichen Zhang & Jiquan Zhang & Ning Wang & Zhennan Dong, 2024. "Urban Flooding Disaster Risk Assessment Utilizing the MaxEnt Model and Game Theory: A Case Study of Changchun, China," Sustainability, MDPI, vol. 16(19), pages 1-23, October.
    9. José Vladimir Morales-Ruano & Maximino Reyes-Umaña & Francisco Rubén Sandoval-Vázquez & Hilda Janet Arellano-Wences & Justiniano González-González & Columba Rodríguez-Alviso, 2022. "Flood Susceptibility in the Lower Course of the Coyuca River, Mexico: A Multi-Criteria Decision Analysis Model," Sustainability, MDPI, vol. 14(19), pages 1-24, October.
    10. Anouk Bomers & Ralph M. J. Schielen & Suzanne J. M. H. Hulscher, 2019. "Consequences of dike breaches and dike overflow in a bifurcating river system," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 97(1), pages 309-334, May.
    11. Hao Chen & Zongxue Xu & Yang Liu & Yixuan Huang & Fang Yang, 2022. "Urban Flood Risk Assessment Based on Dynamic Population Distribution and Fuzzy Comprehensive Evaluation," IJERPH, MDPI, vol. 19(24), pages 1-17, December.
    12. Alena Kadetova & Yan Radziminovich, 2014. "The catastrophic flood in Transbaikalia (Central Asia) in 1897: case study," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 72(2), pages 423-441, June.
    13. Xinyue Wu & Hong Zhu & Liuru Hu & Jian Meng & Fulu Sun, 2024. "Analysis of Short-Term Heavy Rainfall-Based Urban Flood Disaster Risk Assessment Using Integrated Learning Approach," Sustainability, MDPI, vol. 16(18), pages 1-19, September.
    14. F. Luino & A. Belloni & L. Turconi & F. Faccini & A. Mantovani & P. Fassi & F. Marincioni & G. Caldiroli, 2018. "A historical geomorphological approach to flood hazard management along the shore of an alpine lake (northern Italy)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 94(1), pages 471-488, October.
    15. Yijun Shi & Guofang Zhai & Shutian Zhou & Yuwen Lu & Wei Chen & Jinyang Deng, 2019. "How Can Cities Respond to Flood Disaster Risks under Multi-Scenario Simulation? A Case Study of Xiamen, China," IJERPH, MDPI, vol. 16(4), pages 1-18, February.
    16. Paul E. Todhunter & Rhonda Fietzek-DeVries, 2016. "Natural hydroclimatic forcing of historical lake volume fluctuations at Devils Lake, North Dakota (USA)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(3), pages 1515-1532, April.

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