Climate change impacts on extreme floods I: Combining imperfect deterministic simulations and non-stationary frequency analysis

Natural Hazards

Volumn 61, Issue 2, 2012, Pages 647-659

  Seidou, Ousmane ^a   Ramsay, Andrea ^a   Nistor, Ioan ^a  

^a UNIVERSITY OF OTTAWA   (Canada)

Author keywords

Deterministic simulations; Flood peaks; Non stationary distribution; SWAT

Indexed keywords

CLIMATE CHANGE; CLIMATE EFFECT; EXTREME EVENT; FLOOD FREQUENCY; FLOODING; FREQUENCY ANALYSIS; HYDROLOGICAL RESPONSE; MARKOV CHAIN; MONTE CARLO ANALYSIS; PARAMETERIZATION; PEAK FLOW; PROBABILITY;

CANADA; KEMPTVILLE CREEK; ONTARIO [CANADA];

EID: 84856392902     PISSN: 0921030X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11069-011-0052-x     Document Type: Article

References (20)

1. Adamowski K (2000) Regional analysis of annual maximum and partial duration flood data by nonparametric and L-moment methods. J Hydrol 229: 219-231.
2. Cunderlik JM, Burn DH (2003) Non-stationary pooled flood frequency analysis. J Hydrol 276: 210-223.
3. Cunderlik JM, Ouarda TBMJ (2006) Regional flood-duration-frequency modeling in a changing environment. J Hydrol 318: 276-291. doi: 10. 1016/j. jhydrol. 2005. 06. 020.
4. Douglas EM, Vogel RM, Kroll CN (2000) Trends in floods and low flows in the United States: impact of spatial correlation. J Hydrol 240: 90-105.
5. Dunne T, Leopold LB (1978) Calculation of flood hazard. In Dunne T, Leopold LB (eds) Water in environmental planning. WH Freeman and Co, San Francisco, pp 279-391.
6. El Adlouni S, Favre AC, Bobee B (2006) Comparison of methodologies to assess the convergence of Markov chain Monte Carlo methods. Comput Stat Data Anal 50: 2685-2701.
7. El Adlouni S, Ouarda TBMJ, Zhang X, Roy R, Bobée B (2007) Generalized maximum likelihood estimators for the nonstationary generalized extreme value model. Water Resour Res 43(W03410). doi: 10. 1029/2005WR004545.
8. Geweke J (1992) Evaluating the accuracy of sampling-based approaches to the calculation of posterior moments, Bayesian Statistics 4. In JM Bernardo, JO Berger, AP David, AFM Smith (eds) Oxford University Press, Oxford, pp 169-193.
9. GREHYS (1996) Presentation and review of some methods for regional flood frequency analysis. J Hydrol 186: 63-84.
10. Gumbel EJ (1958) Statistics of extremes. Columbia University Press, New York.
11. IPCC (2007) Climate change 2007: impacts, adaptation, and vulnerability. Cambridge University Press, Cambridge.
12. Leadbetter MR, Lindgren G, Rootzen H (1983) Extremes and related properties of random sequences and processes. Springer, New York.
13. Leclerc M, Ouarda TBMJ (2007) Non-stationary regional flood frequency analysis at ungauged sites. J Hydrol 343: 254-265.
14. Min SK, Hense A (2006) A Bayesian approach to climate model evaluation and multi-model averaging with an application to global mean surface temperatures from IPCC AR4 coupled climate models. Geophys Res Lett 33: L08 708. doi: 10. 1029/2006GL025779.
15. Nam DH, Udo K, Mano A (2009) Examination of flood runoff reproductivity for different rainfall sources in central Vietnam, world academy of science. Eng Technol 59: 103-108.
16. Newton MA, Raftery AE (1994) Approximate Bayesian inference with the weighted likelihood bootstrap. J Roy Stat Soc Ser B 56: 3-48.
17. Seidou O, Ouarda TBMJ, Barbet M, Bruneau P, et Bobée BA (2006) Bayesian combination of local et regional information in flood frequency analyses. Water Resour Res 42(W11408): 1-21. doi: 10. 1029/2005WR004397.
18. Singh VP, Strupczewski WG (2002) On the status of flood frequency analysis. Hydrol Process 16: 3737-3740.
19. Stephenson AG (2002) A user guide to the evdbayes package. (version I. 0). http://cran. r-project. org.
20. United Nations University (2010) The Waterbase Project. http://www. waterbase. org.