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<br />il <br /> <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br /> <br />I <br />I <br />I <br />I <br />I <br /> <br />I <br /> <br />I <br /> <br />I <br /> <br />I <br /> <br /> <br />UK........... U <br /> <br />Table 19 Design burst loss estimates for <br />events between 1 il) 100 AEP and the PMP. <br /> <br /> <br />4.8 <br />3.5 <br />2.5 <br />1.2 <br />0.6 <br />0.4 <br />0.2 <br /> <br />2.9 <br />2.6 <br />2.4 <br />2.0 <br />1.6 <br />1.5 <br />1.2 <br /> <br />information, i.e. using rainfalls with a limit of extrapolation of <br />1 in 100 AEP. The input design burst rainfalls are listed in <br />Table 12. <br /> <br />Design losses for the 1 in 50 AEP and 1 in 100 AEP <br />events are obtained by frtting to the flood frequency <br />estimates (as described in Section 6.3.1), i.e. an IL, of 10 <br />mm, and a CL of 3.5 mmlhr. Loss values for intermediate <br />events are obtained using the log-log interpolation <br />procedure (Equation 7). The values of L, and L" and y, <br />and Y, are shown in the 2" and 3" rows of Table 19 for <br />both initial and continuing losses, and interpolated values <br />for the 1 in 2000 AEP and 1 in 50000 AEP events are <br />shown in the 6th and 81h rows. <br /> <br />The design floods are derived using the routing <br />parameters obtained from calibration, i.e. a k, of 27 and an <br />m of 0.8. In order to construct a flood frequency curve it is <br /> <br />10000 <br /> <br />-+-- Design burst, credible limit 1:100 AEP <br />____ Design burst, using eRG-FORGE <br />---lk- Design stoon, using eRG-FORGE <br />- . - Flood-based regional estimate <br /> <br />~ <br />f!. <br />E- <br />o>< <br />III <br /><Il <br />0. <br />"U <br />o <br />o <br />u: <br /> <br /> <br />1000 <br /> <br />100 <br /> <br />t:SOOK VI - t:.stlmallon 01 Large to t:xtreme I-Iaocts <br /> <br />necessary to determine the critical duration for each AEP of <br />interest. Normally the critical duration decreases with AEP, <br />though for simplicity it is assumed here that the 24 hour <br />duration is critical for all AEPs. The resulting flood <br />frequency curve is shown in Figure 13 (using filled diamond <br />symbols). <br /> <br />6.3.3 Estimates Based on Design Rainfall Bursts <br />With a Limit of Extrapolation of 1 in 2000 <br />AEP <br /> <br />This example is similar to that presented in Section <br />6.3.2, the only difference being that CRC-FORGE rainfall <br />estimates are now incorporated, i.e. the limit of rainfall <br />extrapolation is 1 in 2000 AEP. The input design burst <br />rainfalls are listed in Tables 16 and 17. <br /> <br />Loss values for intermediate events are again obtained <br />using the log-log interpolation procedure (Equation 7). The <br />interpolated values are shown in Table 19. <br /> <br />The resulting flood frequency curve is shown in Figure <br />13 (using filled square symbols). It is seen that <br />incorporation of the CRC-FORGE rainfalls yields a lower 1 <br />in 2000 AEP flood peak, and that when cOlJ1bined with the <br />Siriwardena and Weinmann interpolation procedure a less <br />conservative flood frequency curve is obtained. <br /> <br />6.3.4 Estimates Based on Design Rainfall <br />Storms With a Limit of Extrapolation of 1 <br />in 2000 AEP <br /> <br />Rather than use design burst rainfalls with <br />conservatively low losses, this example presents the results <br />for the situation in which pre-burst temporal patterns are <br />available (see Sections 3.9.1c and 4.2.1b for more general <br />comments). <br /> <br />The pre-burst temporal pattern for the 1 in 100 AEP and <br />PMP 24 hour events are shown in Figure 14. The pre-burst <br /> <br />-. <br /> <br />2 <br /> <br />1 <br /> <br />0.5 <br /> <br />0.2 0.1 0.05 0.Q1 <br />Annual Exceedance Probability (%) <br /> <br />0.0001 <br /> <br />0.001 <br /> <br />Figure 13 Flood frequency curves derived using four design approaches, <br />