If tw o or three independent flood events within a period <strong>of</strong> three months or so are to becons idered, then their probability <strong>of</strong> occurrence should be about 10 -6 or so. Assuming theflood events in a region to be a Poisson process, the probability that three 100-year floodevents would occur in a period <strong>of</strong> three months, would be about 3 x 10 -9 ; the probabilitythat three 50-year flood events would occur in a period <strong>of</strong> three months, would be about2.1x 10 -8 ; and the probability that three 25-year flood events would occur in a period <strong>of</strong>three months, would be about 1.67x 10 -7 . This suggests that three 25-year floods in a 3-month period may have a probability equivalent to that <strong>of</strong> the PMF. One or three 25-yearfloods may or may not cause scour and erosion comparable to a single PMF event. Also,additional research is needed to estimate scour and erosion <strong>for</strong> different types <strong>of</strong> rock,concrete, vegetation, and soil protection due to long-term exposure to high velocities orexposure to successively occurring high velocities several times during a given period.Determination <strong>of</strong> a long-duration PMF requires estimation <strong>of</strong> the long-duration PMP.Methods to determine one-month or 5-month duration storm events equivalent to thePMP have yet to be determined. Available in<strong>for</strong>mation includes PMP durations <strong>of</strong> onlyup to 4 days or so.Conclusion and Research NeedsDetermination <strong>of</strong> a reasonably safe DBF <strong>for</strong> a dam should be based on economic andseveral intangible factors associated with the consequences <strong>of</strong> dam failure. Economicconsequences may be estimated using analytical approaches outlined in this paper.Evaluation <strong>of</strong> the relative significance <strong>of</strong> all tangible and intangible factors is subjective.A combination <strong>of</strong> the delphi and fuzzy-set approaches may be useful in considering allrelevant factors with due weightage assigned to each based on input from the interestedor impacted parties.The methods and assumptions used <strong>for</strong> hydrologic analyses related to risk-based designs<strong>of</strong> dams are inherently subjective. As a result, different hydrologists may obtain widelydifferent results from risk analysis <strong>for</strong> one and the same dam. Research ef<strong>for</strong>ts mustfocus on reducing this inherent subjectivity so that results <strong>of</strong> risk analyses per<strong>for</strong>med bydifferent hydrologists are as close to one another as practicable. This requiresdevelopment <strong>of</strong> guidelines and methods <strong>for</strong> each specific computational element <strong>of</strong> riskanalysis. Research needs relevant to this goal are indicated below:• Identification <strong>of</strong> methods to identify categories <strong>of</strong> dams where risk-basedhydrologic design is acceptable and preferable to that based on industry or agencystandards related to size and hazard classification. It must be recognized thatdesigns based on standards imply a certain degree <strong>of</strong> protection to designers,operators, and owners against liability <strong>for</strong> failure consequences.• Identification <strong>of</strong> consistent methods and assumptions related to PMFdetermination including magnitude, duration, and sequencing <strong>of</strong> PMP andPaper 11 - Prakash 54
estimation <strong>of</strong> lag times and loss rate parameters <strong>for</strong> different types and sizes <strong>of</strong>watersheds.• Development <strong>of</strong> consistent methods <strong>for</strong> estimation <strong>of</strong> the probability <strong>of</strong> PMF andsimilar extreme flood events.• Identification <strong>of</strong> methods to estimate the reasonableness <strong>of</strong> the estimated PMFpeak and volume so that consistent estimates are obtained by differenthydrologists.• Development <strong>of</strong> consistent methods to estimate combined events equivalent to thePMF in probability <strong>of</strong> exceedance and magnitudes <strong>of</strong> peak flow and volume , e.g.,severe rainfall combined with snowmelt; wind wave activity combined with asevere storm event; successive storm events which may cause erosional damagessimilar to or more severe than the PMF, etc.• Development <strong>of</strong> methods to estimate long-duration storm events equivalent toPMP and PMF, which may generate larger volumes <strong>of</strong> reservoir inflows.• Identification <strong>of</strong> methods to select plausible modes <strong>of</strong> dam failure and rates <strong>of</strong>development and sizes <strong>of</strong> breaches <strong>for</strong> different field conditions.• Identification <strong>of</strong> methods to incorporate both economic (i.e., tangible) andintangible consequences <strong>of</strong> dam operation and potential dam failure in riskanalysis and evaluation <strong>of</strong> dam safety.• Development <strong>of</strong> methods to include indemnification or insurance costs to coverdam failure consequences in risk analysis.• Development <strong>of</strong> methods to arrive at consensus on how to account <strong>for</strong> potentialloss <strong>of</strong> life associated with dam operation or failure in risk-based hydrologicdesign <strong>of</strong> dams.References♦ American Society <strong>of</strong> Civil Engineers (ASCE), 1988, Evaluation Procedures <strong>for</strong><strong>Hydrologic</strong> <strong>Safety</strong> <strong>of</strong> <strong><strong>Dam</strong>s</strong>, New York, NY.♦ Levy, B. and McCuen, R., 1999, Assessment <strong>of</strong> Storm Duration <strong>for</strong> <strong>Hydrologic</strong>Design, Journal <strong>of</strong> <strong>Hydrologic</strong> Engineering, ASCE, Vol. 4, No. 3, July 1999.♦ National Research Council (NRC), 1985, <strong>Safety</strong> <strong>of</strong> <strong><strong>Dam</strong>s</strong>, Flood and EarthquakeCriteria, National Academy Press, Washington, D.C.♦ Prakash, A., 1983, Deterministic and Probabilistic Perspectives <strong>of</strong> the ProbableMaximum Flood, Proceedings <strong>of</strong> the Hydraulics Division Conference, ASCE,Cambridge, Massachuttes, August 1983.♦ Prakash, A., 1986, Current <strong>State</strong> <strong>of</strong> <strong>Hydrologic</strong> Modeling and Its Limitations,Proceedings <strong>of</strong> the International Symposium on Flood Frequency and Risk Analysis,14-17 May 1986, Louisiana <strong>State</strong> University, Baton Rouge, LA, D. Reidel PublishingCompany, Dordrecht, Holland.♦ Prakash, A., 1990, Estimation <strong>of</strong> Expected <strong>Dam</strong>ages, Indemnification Costs, and JointProbabilities <strong>of</strong> <strong>Dam</strong> Failures, Proceedings <strong>of</strong> International Symposium, ASCE, NewYork, N.Y, July 30-August 3, 1990.♦ Prakash, A., 1992, Design-Basis Flood <strong>for</strong> Rehabilitation <strong>of</strong> Existing <strong><strong>Dam</strong>s</strong>, Journal<strong>of</strong> Hydraulic Engineering, ASCE, Vol. 118, No. 2, February 1992.55Paper 11- Prakash
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The National DamSafety ProgramResea
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collaboration and expertise, and th
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TABLE OF CONTENTSPage #FOREWORD....
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NEW DEVELOPMENTS AND NEEDS IN SITE-
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FOREWORDThe Federal Emergency Manag
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The PMF represents an estimated upp
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- Page 23 and 24: d. USBR Guidelines Publication, Dam
- Page 25 and 26: was severe. There was a potential,
- Page 27 and 28: Thirdly, we must develop better way
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- Page 45 and 46: State of GeorgiaFEMA Workshop on Hy
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- Page 81 and 82: REFERENCES1. U. S. Army Corps of En
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Procedures and Analysis Technologie
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Currently transposition limits for
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pro cedures are used to allow the h
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Use of Atmospheric Models in Rainfa
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mountain watersheds in response to
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18. Schaefer MG, Stochastic Modelin
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dams which could be used to save li
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Hydrodynamic modelMIKE 21 BACKGROUN
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A FRAMEWORK FOR CHARACTERIZATION OF
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c) Decision Level Risk Assessment:
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credible estimates of extreme flood
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Fitting a distribution to data sets
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unoff volumes. Examples of this typ
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used to estimate frequency distribu
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Hosking, J.R.M., and J.R. Wallis, 1
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in west central Arizona. The draina
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Trial and error reservoir routings
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Figure 1 Alamo DamAlamo Dam and Spi
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esources are made to mitigate flood
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implementing a risk-assessment meth
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Typically, the elevation of the top
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similar to that of the high-gradien
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and provides a cost-effective frame
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10000E. Colorado
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10000x Peak Discharge95% confidence
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An integrated science approach will
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ReferencesBaker, V.R., Kochel, R.C.
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Partnerships, Proceeding of the 200
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Flood HydrographThe flood hydrograp
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A variety of data including informa
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Improved Flood Frequency Extrapolat
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RESEARCH NEEDS SUMMARYJerry Webb, H
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o Unsteady flow computer models for
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• Upd ate “Generalized Snowmelt
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DISCUSSION1. Genera l - After the p
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participant was asked to pick what
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RISK ANALYSIS100Relative Comparison
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WORKSHOPONHYDROLGIC RESEARCH NEEDSF
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JOE SKUPIENPrincipal Hydraulic Engi