|
<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 />
|