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Last modified
11/23/2009 10:40:45 AM
Creation date
10/4/2006 10:23:01 PM
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Title
Australian Rainfall and Runoff 1998, Revision of Book VI - Estimation of Large to Extreme Floods
Date
11/28/1998
Prepared By
Rory Nathan, Sinclair Knight Merz
Floodplain - Doc Type
Educational/Technical/Reference Information
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<br /> <br />DRAFT D <br /> <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br /> <br />Credible limit of <br />extrapolation <br /> <br />~ <br /> <br />Large <br /> <br />Rare <br /> <br />Design <br />rainfall <br />or flood <br /> <br />Interpolation <br /> <br />Extrapolation <br /> <br />Moderate <br /> <br />Moderate to large <br /> <br /> <br />Between <br />1 in 50 and <br />1 in 100 <br /> <br />Between 1 in 100 <br />and the credible limit <br />of extrapolation <br /> <br />Book VI - Estimation of Large to Extreme Floods <br /> <br />AEP of PMP varies between <br />1 in 10' and 1 in 10' <br /> <br />~ <br /> <br />~ Event Glass <br /> <br />:1 Nature of proceduresl <br /> <br />Unquantifiable, but nDtionally <br />very large <br /> <br />:1 Nature of uncertainty I <br /> <br />Beyond the credible <br />limit of extrapolation <br /> <br />:1 Range of AEP <br /> <br />50 <br /> <br />100 <br /> <br />2000 10' 105 <br /> <br />Annual Exceedance Probability (1 in Y) <br /> <br />10. <br /> <br />Figure 1 Design characteristics of notional design event classes. <br /> <br />the border of the allDwable limits in order to provide a <br />palatable outcome for the stakeholder. If there are <br />significant differences in outcome within the range of <br />uncertainty, then the likely range of consequences must be <br />explicitly considered in a risk management framework when <br />develDping mitigation strategies. <br /> <br />The procedures presented herein have been reviewed <br />by experienced designers and academics from around <br />Australia. They therefore constitute recommended practice. <br />Innovation and trialing of new techniques based on <br />add~ional data and research are strongly encouraged fDr <br />the estimation Df Large to Rare floods, but an increasing <br />level of prescription is required as estimates extend beyond <br />the credible limit of extrapolation. Details concerning the <br />characteristics of each class of flood are provided below. <br /> <br />(a) Large floods <br /> <br />Large floods are intended to represent those events for <br />which direct observations relevant to the site of interest are <br />available. The most common sources of information for this <br />range of floods are the systematic records of rainfalls or <br />streamflow, though they include historic information for <br />notable events that occurred prior to the beginning of <br />continuous gauged records. Accessible records in general <br />only extend back to the past 100 years, and thus notionally <br />the AEPs corresponding to this category are lim~ed to <br />events more frequent than 1 in 100. <br /> <br />The procedures relevant to the analysis of this type of <br />information are largely covered by the sections related to <br />rainfall and flood frequency analysis, and rainfall-runoff <br />routing (Book 11, Book IV Section 2 and Book V Sections 2 <br />and 3); however, as discussed in Section 1.4, there are a <br />number of important differences that are specific to <br />providing estimates that are consistent with Rare to <br />Extreme floods. The analyses are based on deriving design <br />flood estimates that lie within the range of direct <br />observations, and thus are essentially interpolative in <br />nature. A large body of experience and a great variety of <br />procedures are available to help the practitioner derive <br />flood estimates within this range, and the associated <br /> <br />degree of uncertainty in the estimates can be readily <br />quantified. <br /> <br />(b) Rare floods <br /> <br />Rare floods represent the range of events between the <br />largest direct observations and the "credible limit of <br />extrapolation". W~h reference to the latter concept, ~ is <br />worth noting that the term: <br /> <br />. "credible" is used to represent the limit of extrapolation <br />that can be estimated without the use of other <br />confirming information from an essentially independent <br />source; and, <br /> <br />. "extrapolation" is used to denote estimates that are <br />made outside the range of observatiDns that are <br />available at a single site. <br /> <br />The credible limit of extrapolation is dependent upon the <br />nature of available data that can be obtained at andlor <br />transposed to the site Df interest Procedures are often <br />used which are based on the regional pooling of data (both <br />in space and time), and the quality of the extrapolation <br />depends on the strength of the assumptions made. It is <br />important to realise that ir, any given region the credible <br />limit of rainfall extrapolation may well differ from the limit <br />applicable to floods. <br /> <br />The notional credible lim~s of extrapolation for a range <br />of data types in Australia is shown in Table 1 (modified <br />after USBR, 1998). This table indicates the lower AEPs <br />corresponding to both typical and the most favourable <br />situations, though in most cases the credible AEP limits are <br />likely to be considerably closer to the typical estimates than <br />the most favourable bounds. At present in Australia using <br />established techniques it is unlikely that the credible limit of <br />extrapolation will exceed 1 in 1 0000 AEP. <br /> <br />The analyses required to extrapolate estimates to the <br />credible limit require substantial resources and a high level <br />of specialist expertise, and they are thus generally beyond <br />the level of resources available to a single study. <br />Practitioners will usually need to rely on processed <br />information prepared specifically for the region Df interest, <br />though once such information has been prepared it is likely <br />
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