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<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 />The procedures outlined in this Book are intended to <br />CDver the brDad spectrum of applications listed in Section <br />1.2 and the flood ranges described in Section 1.3. <br />However, when deriving flood estimates for a specific <br />application, the practitioner's interest may be focused on a <br />more limited range of procedures. This section provides <br />some guidance on the applicability of different parts of the <br />guidelines to specific investigation or design tasks, <br />Figure 2 gives a qualitative indication Df the range of <br />flood magnitudes and the relative degree of reliability <br />required for different applicatiDns. An extension of the flood <br />range of interest is associated with a greater degree. of <br />extrapolation and thus larger uncertainty (lower reliability). <br />The level of expertise and effort required for deriving design <br />floods increases with increasing level of reliability required. <br />For the following four groups of applications, <br />approximate or simplified flood estimation procedures may <br />be applicable. However, the practitioner has to apply <br />hislher own judgement in deciding on the degree of detail <br />PMF as a benchmark value and accuracy required for a specific application. <br /> <br />The PMF is traditionally defined as the limiting value of t(i) Planning and feasibility studies, initial screening of <br />flood that could reasonably be expected to occur. Its AEP is options, preliminary designs: <br />un~nown because there is no gene~IIY accepted way o! For these types of applications, where decisions <br />~stimating It, ~nd because the phrase reasonably possl~le based on the fiood estimates are only moderately <br />IS not numencally defin~d. The d:gree, of conseryatosm sensitive to estimation uncertainties, approximate <br />used to select and combine the various Inputs that Impact design flood estimates can be derived by a "quick" <br />on flood magnitude varies from one practitioner to another, method (see Sections 3 11 and 4 7) <br />and therefore its estimation does not provide a consistent ' . . <br />level of risk for design applications. Clearly, the AEP of the (ii) Performance checks or preliminary designs of <br />PMF is less than that of the PMP. structures where the lowest AEP olinterestis 1 in 500 <br />For most design s~uations ~ is recommended that the and where no regional design rainfalls or detailed <br />PMF estimate should be replaced by an estimate of the PMP esllmates are available: <br />PMP Design Flood (that is, the flood derived from the PMP Many design codes require safety checks for <br />using AEP-neutral assumptions). These guidelines provide conditions exceeding the design objective. <br />specific recommendations for the derivation of the PMP Approximate estimates of floods with AEPs from 1 in <br />Design Flood, 100 to an absolute limit of 1 in 500 can be obtained by <br />However, it is recognised that estimates of the PMF extrapolatio,n of either flood or rainfall fr~quency <br />may still provide a useful benchmark for comparison with curves, uSIng the procedures described In, ot~er <br />the results of earlier studies and with risk-based estimates. Books. In general, rainfall-based flODd estomation <br />Given the limitations of the available design information it is methods should be calibrated WIth flood dat~ from the <br />expected that the greatest difference between PMFs and site. ConSIderably larger uncertainty. IS associated WIth <br />PMP Design FloDds will most commonly arise in the floods In. thiS range estimated WIthout the use of <br />derivatiDn of reservoir outflow floods (see Section 5 2) regional information, and correspondIngly greater <br />. . responsibility then rests with the designer to ensure <br />that the estimates are consistent with any rare flood <br />estimates for the region. For rainfall-based <br />procedures, the preliminary PMP estimates from <br />Section 3.11, combined with the interpolation <br />procedure in Section 3.6.1, can be used to reduce the <br />uncertainty in design rainfall extrapolation. <br /> <br />(iii) Preliminary designs or performance checks of new <br />structures, and adequacy assessments of major <br />existing structures with low to moderate failure <br />consequences, where the AEP range of interest <br />extends from Large to Rare floods and where regional <br /> <br />UKAt-1 U <br /> <br />AEP-neu&a/approach <br /> <br />To derive a design flood with an AEP equivalent to that <br />of the design rainfall employed it is necessary to adopt an <br />AEP-neutral approach. This invDlves selecting model inputs <br />and parameter values such that the 1 in Y AEP design <br />rainfalls are converted to the correSponding 1 in Y AE:P <br />floods. For the least sensitive model parameters it is <br />usually sufficient to adopt a single representative value <br />from the central range of observations; often e~her the <br />mean or median is adopted, althDugh the most appropriate <br />value depends on the degree of non-linearity in the <br />transformation between rainfall and runoff. For the more <br />sensitive model parameters it is desirable to adopt a joint <br />probability approach, where the inputs are characterised by <br />their probability distributions rather than by a single value. <br /> <br />The adoption of an AEP-neutral approach is accepted <br />practice for frequent to Large floods, where ~ is usually <br />possible to derive independent estimates of the design <br />floods to check that no bias has been introduced into the <br />transformation between rainfall and runoff, It should be <br />recognised that our understanding concerning the <br />distributions of, and correlations between, many design <br />inputs is limited, and that beyond the credible limit of flood <br />extrapolation it is not possible to assure the achievement of <br />the AEP-neutral objective. Thus, while the objectives of <br />AEP-neutral methods are clear, in many design situations <br />there is no way of knowing whether or not they have been <br />achieved. There is considerable uncertainty in the <br />magnitude of flood estimates beyond the credible limit of <br />flood extrapolation, and this uncertainty should be <br />recognised and incorporated into management decisions. <br /> <br />(b) <br /> <br />(c) <br /> <br />Impact of climate change <br /> <br />Estimates of Large to Extreme rainfalls (and the <br />resulting floods) are subject to change as our <br />understanding of the governing physical processes <br />increases, and as more data becomes available for <br />analysis. The estimates are also subject to change due to <br />long-term climatic variations, such as would result from <br />changes in atmospheric concentration of greenhouse <br />gases. However, it is considered that climatic trends <br />progress SD slowly that their influence on the assessment <br />of annual flood risks over the design life of infrastructure <br /> <br />(d) <br /> <br />t:iOOK VI M estimatIon or Large to t=xtreme t"looas <br /> <br />w<<ks is small oompared to other tlnceotainties. M time of <br />writing (1998) the Bureau of Meteorology do not consider <br />the influence of climatic trends when preparing PMP <br />estimates, and at present there is no known procedure for <br />the reliable incorporation of climate change scenarios into <br />flood estimates. Until better information becomes available <br />any lIS&essment of the irnpaol Df climate change on /lQod <br />risks is thus likely to be speculative and not su~ed for <br />general design considerations. <br /> <br />2.3 Relevance of Procedures to Specific <br />Applications <br /> <br />* <br />