Abstract
Over the past century, numerous water infrastructures have been built to serve the water-related need of people worldwide (Mitchell, 1990). Those larger ones often serve multiple purposes, such as agriculture, navigation, hydropower, and flooding control. Failure of such high-hazard dams, especially those with flooding control purposes, would bring catastrophic ecological and societal loss.
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References
Abbs DJ (1999) A numerical modeling study to investigate the assumptions used in the calculation of probable maximum precipitation. Water Resour Res 35(3):785–796. https://doi.org/10.1029/1998WR900013
Beauchamp J, Leconte R, Trudel M, Brissette F (2013) Estimation of the summer-fall PMP and PMF of a northern watershed under a changed climate. Water Resour Res 49(6):3852–3862. https://doi.org/10.1002/wrcr.20336
Bergeron T (1965) On the low-level redistribution of atmospheric water caused by orography. In: Proceedings of international conference on cloud physics, pp 96–100
Chen LC, Bradley AA (2006) Adequacy of using surface humidity to estimate atmospheric moisture availability for probable maximum precipitation. Water Resour Res 42(9):1–17. https://doi.org/10.1029/2005WR004469
Chen X, Hossain F (2018) Understanding model-based probable maximum precipitation estimation as a function of location and seasons from atmospheric reanalysis. J Hydrometeorol https://doi.org/10.1175/jhm-d-17-0170.1
Chen X, Hossain F, Leung LR (2017) Probable maximum precipitation in the U.S. Pacific Northwest in a changing climate. Water Resour Res 53(11):9600–9622. https://doi.org/10.1002/2017wr021094
Cheng L, AghaKouchak A (2014) Nonstationary precipitation intensity-duration-frequency curves for infrastructure design in a changing climate. Sci Rep 4:7093. https://doi.org/10.1038/srep07093
Cheng L, AghaKouchak A, Gilleland E, Katz RW (2014) Non-stationary extreme value analysis in a changing climate. Clim Change 127(2):353–369. https://doi.org/10.1007/s10584-014-1254-5
Douglas EM, Barros AP (2003) Probable maximum precipitation estimation using multifractals: application in the eastern United States. J Hydrometeorol 4(6):1012–1024. https://doi.org/10.1175/1525-7541(2003)004%3c1012:PMPEUM%3e2.0.CO;2
Frank W (1988) The cause of the Johnstown flood. Civ Eng 58(5):63–66
Gao M, Mo D, Wu X (2016) Nonstationary modeling of extreme precipitation in China. Atmos Res 182:1–9. https://doi.org/10.1016/j.atmosres.2016.07.014
Hayes BD, Kao SC, Kanney JF, Quinlan KR, De Neale ST (2015) Site specific probable maximum precipitation estimates and professional judgement. In: AGU fall meeting abstracts
Heim RR, Guttman NB (1997) On computing 1971–2000 climate normals in the ASOS era. In: Proceedings of 10th conference on applications of meteorology, pp 171–175
Hershfield DM (1965) Method for estimating probable maximum rainfall. J Am Water Works Assoc 57(8):965–972
Hobbs PV (1989) Research on clouds and precipitation: past, present, and future. I. Bull Am Meteorol Soc 70(3):282–285
Hossain F, Degu AM, Yigzaw W, Burian S, Niyogi D, Shepherd JM, Pielke R Sr (2012) Climate feedback-based provisions for dam design, operations, and water management in the 21st century. J Hydrol Eng 17(August):837–850. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000541
Hu M, Luo C (1992) Historical floods of China. China Bookstore Publishing House
International Atomic Energy Agency (2003) Flood hazard for nuclear power plants on coastal and river sites
International Atomic Energy Agency (2009) Hydrological hazards in site evaluation for nuclear installations
Ishida K, Kavvas ML, Asce F, Jang S, Chen Z, Asce AM, Ohara N, Asce AM, Anderson ML, Asce AM (2015) Physically based estimation of maximum precipitation over three watersheds in Northern California: atmospheric boundary condition shifting. J Hydrol Eng 20(4):04014052. https://doi.org/10.1061/(asce)he.1943-5584.0001026
Koutsoyiannis D (1999) A probabilistic view of hershfield’s method for estimating probable maximum precipitation. Water Resour Res 35(4):1313–1322
Kunkel KE, Karl TR, Easterling DR, Redmond K, Young J, Yin X, Hennon P (2013) Probable maximum precipitation and climate change. Geophys Res Lett 40(7):1402–1408. https://doi.org/10.1002/grl.50334
Lee J, Choi J, Lee O, Yoon J, Kim S (2017) Estimation of probable maximum precipitation in Korea using a regional climate model. Water 9(4)
Liu C-C, Yang T-C, Kuo C-M, Chen J-M, Yu P-S (2016) Estimating probable maximum precipitation by considering combined effect of typhoon and southwesterly air flow. Terr Atmos Ocean Sci 27(6)
Micovic Z, Schaefer MG, Taylor GH (2015) Uncertainty analysis for probable maximum precipitation estimates. J Hydrol 521:360–373. https://doi.org/10.1016/j.jhydrol.2014.12.033
Min S-K, Zhang X, Zwiers FW, Hegerl GC (2011) Human contribution to more-intense precipitation extremes. Nature 470(7334):378–381. https://doi.org/10.1038/nature09763
Mitchell B (1990) Integrated water management: international experiences and perspectives. Belhaven Press, London
National Research Council (1994) Estimating bounds on extreme precipitation events: a brief assessment. The National Academies Press, Washington, DC
Ohara N, Kavvas M, Kure S, Chen Z, Jang S (2011) Physically based estimation of maximum precipitation over American river watershed, California. J Hydrol Eng 16(4):351–361. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000324
Ohara N, Kavvas ML, Anderson ML, Chen ZQ, Ishida K (2017) Characterization of extreme storm events using a numerical model-based precipitation maximization procedure in the Feather, Yuba, and American river watersheds in California. J Hydrometeorol 18(5):1413–1423. https://doi.org/10.1175/JHM-D-15-0232.1
Papalexiou SM, Koutsoyiannis D (2006) A probabilistic approach to the concept of probable maximum precipitation. Adv Geosci 7:51–54
Prasad R, Hibler LF, Coleman AM, Ward DL (2011) Design-basis flood estimation for site characterization at nuclear power plants in the United States of America
Rakhecha PR, Kennedy MR (1985) A generalised technique for the estimation of probable maximum precipitation in India. J Hydrol 78(3):345–359. https://doi.org/10.1016/0022-1694(85)90112-X
Rakhecha PR, Singh VP (2009) Applied hydrometeorology. Springer Science+Business Media, Berlin
Rastogi D, Kao S-C, Ashfaq M, Mei R, Kabela ED, Gangrade S, Naz BS, Preston BL, Singh N, Anantharaj VG (2017) Effects of climate change on probable maximum precipitation: a sensitivity study over the Alabama-Coosa-Tallapoosa River Basin. J Geophys Res Atmos 122(9):4808–4828. https://doi.org/10.1002/2016JD026001
Rouhani H (2016) Climate change impact on probable maximum precipitatio and probable maximum flood in Quebec. Université de Sherbrooke, Quebec
Rousseau AN, Klein IM, Freudiger D, Gagnon P, Frigon A, Ratté-Fortin C (2014) Development of a methodology to evaluate probable maximum precipitation (PMP) under changing climate conditions: application to southern Quebec, Canada. J Hydrol 519:3094–3109. https://doi.org/10.1016/j.jhydrol.2014.10.053
Salas JD, Gavilán G, Salas FR, Julien PY, Abdullah J (2014) Uncertainty of the PMP and PMF. Handb Eng Hydrol 2:575–603
Sun X, Barros AP (2010) An evaluation of the statistics of rainfall extremes in rain gauge observations, and satellite-based and reanalysis products using universal multifractals. J Hydrometeorol 11(2):388–404. https://doi.org/10.1175/2009JHM1142.1
Tan E (2010) Development of a methodology for probable maximum precipitation estimation over the American river watershed using the WRF model. University of California, Davis
Trenberth KE, Dai A, Rasmussen RM, Parsons DB (2003) The changing character of precipitation. Bull Am Meteorol Soc 84(9):1205–1217 + 1161. https://doi.org/10.1175/bams-84-9-1205
US Weather Bureau (1961) Interim report, probable maximum precipitation in California
VandenBerge DR, Duncan JM, Brandon T (2011) Lessons learned from Dam failures. Virginia Polytechnic Institute and State University, Blacksburg
Wang J, Fisher BL, Wolff DB (2008) Estimating rain rates from tipping-bucket rain gauge measurements. J Atmos Ocean Technol 25(1):43–56. https://doi.org/10.1175/2007JTECHA895.1
Wi S, Valdés JB, Steinschneider S, Kim T-W (2016) Non-stationary frequency analysis of extreme precipitation in South Korea using peaks-over-threshold and annual maxima. Stoch Environ Res Risk Assess 30(2):583–606. https://doi.org/10.1007/s00477-015-1180-8
World Meteorological Organization (2009) Manual on estimation of probable maximum precipitation, 3rd edn. Geneva
Yang L, Smith JA (2018) Sensitivity of extreme rainfall to atmospheric moisture content in the arid/semi-arid Southwestern US: implications for probable maximum precipitation estimates J Geophys Res Atmos 123:1638–1656. https://doi.org/10.1002/2017JD027850
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Chen, X. (2020). Safety Design of Water Infrastructures in a Modern Era. In: Hossain, F. (eds) Resilience of Large Water Management Infrastructure. Springer, Cham. https://doi.org/10.1007/978-3-030-26432-1_8
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