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<br />are able to reproduce calibration events equally well,
<br />adoption of the same loss parameters for derivation of
<br />Extreme design floods may produce significantly different
<br />design floods. For example, a specific set of loss
<br />parameters for the IL-CL and IL-PL models may yield
<br />similar flood peaks for the 1 in 100 AEP design event, but if
<br />the same parameters were retained to derive the 1 in 10'
<br />AEP flood, the different loss models would produce
<br />markedly different floods. The impact of model structure on
<br />the estimated rainfall excess must be carefully understood
<br />and the results over a range of conditions should be
<br />checked against the results obtained using other models.
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<br />(ii) Range of application of derived loss values
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<br />The considerations in Section 4.2.1 indicate that the
<br />appropriate loss values for a catchment depend on the
<br />following: (i) the type of design rainfall data used (design
<br />storm or design burst), (ii) the event magnitude and
<br />duration (particularly for burst initial loss), (Hi) the season in
<br />which the event falls, and (iv) the characteristics of the
<br />catchment The designer should therefore make sure that
<br />the loss values derived using the procedures in Section
<br />4.2.2 are applicable to the specific design situation of
<br />interest and, if necessary, adjust the derived losses before
<br />applying them in design flood estimation. Section 4.2.1
<br />gives guidance on the factors to be considered. At this
<br />stage there is no evidence to suggest that different design
<br />loss values are applicable for catchments of different size.
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<br />(Iii) Checking of design loss values using
<br />independent flood frequency estimates
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<br />Where credible design flood estimates are available
<br />from another, independent method, the procedure outlined
<br />in Section 4.2.2 (c) should also be applied for the
<br />independent testing of design loss values before they are
<br />adopted. Beyond the credible limit of flood extrapolation, it
<br />is not possible to test the AEP-neutralily of the adopted loss
<br />values, and thus it is necessary to adopt a more
<br />prescriptive, conservative approach, based on the
<br />recommendations in sub-sections (b, iv) and (d, iii).
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<br />(iv) Changes to catchment conditions
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<br />Changes may occur in the catchment during the design
<br />life of the structure for which the design event is required.
<br />These changes might include urbanisation, destruction of
<br />vegetation cover by clearing or fire, soli conservation
<br />measures, and construction of reservoirs. While their
<br />possible effects on design losses should be considered, the
<br />major effects of such changes are on the response times of
<br />runoff. These are considered in Section 4.3.3(b,iv). Losses
<br />during relatively minor floods may be affected appreciably
<br />by these catchment changes, but in general there will be
<br />very little if any effect on the low design burst (IL,) losses
<br />assumed in Extreme floods.
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<br />(b) Recommended initial loss values for use
<br />with design bursts (IL,,)
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<br />For regions without information on pre-burst temporal
<br />patterns it is not possible to apply directly the initial loss
<br />values derived from an analysis of complete storms.
<br />The selection of inilialloss for use with design bursb of
<br />rainfall is problematic as the depth of rainfall antecedent to
<br />the burst varies with both storm duration and event
<br />magnitude. Traditionally, it has been assumed that the net
<br />bias resulting from the application of storm losses obtained
<br />from calibration -with design bursts is negligible (see
<br />Section 4.2.2 a). However, the available evidence for flood
<br />events more frequent than the 1 in 100 AEP event
<br />suggests that the losses obtained from calibration to large
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<br />historic floods are too low (e.g. Walsh et aI., 1991; Hill et
<br />aI., 1996').
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<br />The expected reduction of IL, with reducing burst
<br />duration and increasing event magnitude (see Section
<br />4.2.1c,ii) means that the following recommendations have
<br />to differentiate between event magnitudes.
<br />
<br />(i) Large to Rare events
<br />
<br />IL. values suitable for derivation of floods more frequent
<br />than 1 in 100 AEP should be based on recommendations
<br />contained in Book II, Section 3, or other relevant design
<br />data for the region, as deemed appropriate.
<br />
<br />Where possible, reconciliation with independently
<br />derived design flood estimates should also be attempted,
<br />as described above in 4.2.2(c). After adoption of a suitable
<br />value of continuing loss, IL, values should be selected by
<br />matching rainfall-based estimates with design floods
<br />derived by independent procedures. In many cases the
<br />credible limit of flood extrapolation is restricted to events
<br />with AEPs equal to or more frequent than 1 in 100. It is
<br />possible however that regional frequency or
<br />paleohydrological procedures could be used to estimate
<br />floods rarer than the 1 in 100 AEP event, and thus
<br />reconciled loss values could be obtained for lower AEP
<br />events.
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<br />(ii) Extreme events
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<br />IL, values should be varied gradually between the
<br />values adopted for Rare and PMP events. In the absence
<br />of any scientific justification, it is suggested that losses
<br />between the two limits are determined from a simple
<br />interpolation procedure. For example, if the initial loss value
<br />for the 1 in 100 AEP event is 10 mm and that for the most
<br />Extreme design event (with an AEP of 1 in 10') is 0 mm,
<br />then Extreme loss values can be interpolated from a line
<br />drawn on log-Normal probabilily paper between 10 mm at 1
<br />in 100 AEP and, say, 0.1 mm at 1 in 10' AEP (the initial
<br />loss of 0.1 mm is an approximation of 0 mm in the
<br />logarithmic domain).
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<br />Alternatively, it may be assumed that the losses vary
<br />linearly on a log-log plot of losses versus AEP; this
<br />assumption is more consistent with the interpolation
<br />procedure used for design rainfalls (Section 3.6), and is
<br />also more amenable to calculation. For example, if initial
<br />loss values L, and L, were assigned, respectively, to events
<br />with AEPs of 1 in Y 1 and 1 in y" then the loss value to be
<br />used in conjunction with a design burst of intermediate AEP
<br />1 in Y could be interpolated using the following equation:
<br />
<br />log(l ) = lag(l ) + (lag(Y) -lag(Y )) log(l2) -Iagel,)
<br />Y' 1 log(Y2)-log(Y,)
<br />(7)
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<br />A zero loss value is again to be approximated by a
<br />small value, say 0.1 mm. The practical difference between
<br />the use of Equation 7 and the assumption of log-Normal
<br />variation is negligible given the uncertainty of loss rate
<br />variation. A worked example describing the derivation of
<br />intermediate losses is provided in Section 6.3.2.
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<br />(iii) PMP Design Flood
<br />
<br />Very low values of IL, are recommended as it is
<br />assumed that the pre-burst rainfalls associated with the
<br />PMP design burst will either partly (longer duration bursts)
<br />or fully (short duration bursts) satisfy soil moisture deficits.
<br />In conformity with the adopted policy of aiming for
<br />reasonable conservatism in the absence of more relevant
<br />information, conservatively low estimates are generally
<br />recommended. For PMP design burst durations
<br />approaching the duration of the observed storms, the IL"
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