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<br />IJI"V"\rI U <br /> <br />I <br /> <br />(b) <br /> <br />Detailed steps in procedure <br /> <br />Application of the procedure is quite straightforward, <br />and design estimates over the interpolated range can be <br />easily computed, as described below. <br /> <br />With reference to Figure 5, the AEP Df 1 in y, <br />represents the starting point of the interpolation, and the <br />AEP of 1 in y, represents a lower value such that between <br />1 in Y, and 1 in Y, the frequency curve can be assumed to <br />be linear in the log-log domain. Xv, and Xv, represent the <br />design rainfalls with AEPs of 1 in Y, and 1 in Y,. The slope <br />of the frequency curve at the commencement of the <br />transition, S", is determined by the slope between the two <br />design values atAEPs of 1 in Y, and 1 in Y,. <br /> <br />The end point of the interpolation is the AEP of the <br />PMP. which is denoted 1 in Y PMP. For consistency of <br />nomenclature, the magnitude of the PMP is here denoted <br />as )(PMP. <br />A design rainfall estimate with an AEP of 1 in Y <br />(denoted Xv) can be estimated using: <br /> <br />Xy = '10RvlogIXV2l <br /> <br />I <br />1 <br />I <br />1 <br /> <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br /> <br />(1) <br />where Ry is defined by the parabola fitted between Xy, and <br />XPMP: <br /> <br />z <br />Ry = 1 + Sgc '" gy + (Sgap - Sgc)Zd gy (2) <br /> <br />'" = 10g(YpMP / Y2) (3) <br /> <br />log(Y/Y2) (4) <br />gy = <br />'" <br /> <br />log(Xy, f Xy2) (5) <br />5gc = <br />10g(Xd.log(Y, f Y2) <br /> <br />10g(XPMP) 1 <br /> <br />Sgap = log(XY2) (6) <br />Zd <br /> <br />For Victoria. Siriwardena and Weinmann recommend <br />that the slope of the frequency curve at the commencement <br />of the transition should be defined by the 1 in 1000 AEP <br />and 1 in 2000 AEP events, I.e. Y, = 1000 and y, = 2000. <br />Thus the start point of interpolation is the credible limit of <br />extrapolation obtained using the eRe-FORGE method <br />(Nandakumaret aI., 1997). <br />An example describing the application of the above <br />interpolation procedure is provided in Section 6.2.2. <br /> <br />x,. <br /> <br />.. <br />~ <br />g <br /> <br />x, ......................-... <br /> <br />. <br />. <br />. <br />" <br />> <br />, <br />~ <br />. <br />Q <br /> <br />"'.---- j <br /> <br />I <br />I <br /> <br />'. <br /> <br />Xn ................ <br /> <br />x" <br /> <br />1:Y, l:Yl l:Y l:Y.... <br />Annual Exceedance Probabiity(log scale) <br /> <br />l' <br /> <br />~ t. <br /> <br /> <br />'- <br /> <br />I <br /> <br />Figure 5 Schematic iUustration of interpolation <br />procedure. <br /> <br />.............., v. .........."'.a'''_''....., .......:1...,....................,...... ................ <br /> <br />(c) <br /> <br />Range of application <br /> <br />Siriwardena and Weinmann (1998) have shown that the <br />procedure performs satisfactorily over a range of design <br />situations that specifically include: <br /> <br />o different starting points for interpolation (I.e. the AEP of <br />the credible limit of extrapolation can vary, though note <br />if no Rare rainfall information is available and the <br />credible limit of extrapolation is 1 in 100 AEP, then the <br />procedure described in Section 3.6.1 should be used); <br /> <br />- different AEPs assigned to the PMP (ranging from 10" <br />to 10.7, as discussed in Section 3.5); and, <br /> <br />o different 'shape parameters' defined by the ratio of the <br />slope of the upper end of the directly determined <br />frequency growth curve, S", and the slope between the <br />two end points of the 'gap', S,"" (the 'shape parameter' <br />S,JS,.. ranges between 0.25 to 2.0). <br /> <br />The above concepts are schematically illustrated in <br />Figure 5. and are summarised in Table 6. Siriwardena and <br />Weinmann (1998) have tested the above interpolation <br />procedure on 25 catchments ranging in size from 25 to <br />15000 km' with diverse characteristics. The resultant <br />frequency curves were shown to be plausible and well <br />behaved for all test catchments. <br /> <br />3.6.3 Extrapolation of Regional Design <br />Information to Other Durations <br /> <br />(a) Basis of procedure <br /> <br />Sites with daily rainfall records provide a considerably <br />denser spatial coverage and longer perioc of record than is <br />available from the pluviometer network. Accordingly, where <br />Large to Rare regional estimates are available, it is likely <br />they are only applicable to design storm durations of 24 <br />hours and longer. Derivation of design rainfalls for shorter <br />durations is of particular importance for small catchments, <br />and accordingly it is desirable to apply an approximate <br />procedure to extend the Large to Rare regional estimates <br />to shorter durations. As discussed in Section 3.2. design <br />rainfall information available in Book II Section 1 is only <br />available up to a duration of 72 hours. and thus a <br />procedure is also required to extend Large rainfall <br />estimates to longer durations. <br />Siriwardena and Weinmann (1998) adapted the above <br />interpolation procedure to this situation, and tested the <br />approach using Victorian data. While alternative <br />approaches may be developed for other regions, the <br />procedure proposed by Siriwardena and Weinmann should <br />be applicable to most design situations. <br /> <br />(b) Detailed steps in procedure <br /> <br />The procedural steps involved are as follows (see <br />Figure 6): <br />1. Prepare a log-log plot of 1 in 50 AEP and 1 in 100 <br />AEP point design rainfall depths (Dr intensities) versus <br />duration for all required durations using design <br />information presented in Book II Section 1. <br />2. Add to the plot established in step 1 the regional <br />design point rainfall depths/intensities for AEPs rarer <br />than 1 in 100 for all available durations (e.g. 24 hours <br />. and longer using the eRe-FORGE technique, as <br />described in Section 3.3.2). These pDints are <br />indicated by the filled symbols in Figure 6. <br />3. Fit a linear relationship in the log-log domain to the <br />storm durations and the Large to Rare regional rainfall <br />deplhsJirllensilles plotted in step 2. <br />4. Extrapolate the relationship from step 3 down to <br />durations fDr which the 1 in 50 AEP and 1 in 100 AEP <br />