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<br />PMP using a transformation based on AEP-neutral
<br />objectives, but its AEP will be smaller.
<br />
<br />In the derivation of the PMF, the AEP-neutral objective
<br />for selection of design inputs is explicitly rejected in favour
<br />of adopting conservatively high estimates. With regard to
<br />losses, the general recommendations provided in Section
<br />4.2 should be adopted, i.e. losses should be equal to or
<br />possibly a little less than the minimum value in large floods
<br />observed on the catchment. In ail cases, losses are likely to
<br />be low; in many regions of Australia an initial loss value of
<br />zero and a continuing loss rate of 1 mmlhr will be
<br />appropriate.
<br />
<br />Temporal patterns provided with the Generalised PMP
<br />methods could be used (Section 3.9), but note that the
<br />patterns derived for the GSAM method represent smoothed
<br />patterns of average variabimy. Practitioners may care to
<br />adopt more severe patterns, but rearrangement of the
<br />patterns to give the highest possible flood peak is at
<br />variance with the objective of deriving a limiting value of
<br />flood that could reasonably occur.
<br />
<br />The hydrograph models used to transform the PMP to
<br />the PMF should follow the genera.1 recommendations
<br />provided in Section 4.3. Parameter values should be
<br />selected in accordance with the recommendations provided
<br />in Sections 4.3.5 and 4.3.6. The selection of other design
<br />inputs, such as initial reservoir level or snowpack depth,
<br />should be representative of the more extreme conditions
<br />that could reasonably be expected to occur.
<br />
<br />4.9 ,ncorporat'l"on of Paleohydrological
<br />Estimates
<br />
<br />Paleohydrological estimates of floods are based on the
<br />stut of the geomorphic and stratigraphic record of past
<br />flo s, as well as evidence of past floods and streamflow
<br />de Ived from historical, archeological, dendrochronologic,
<br />or ,'other sources. The advantage of paleohydrologic data
<br />(USSR, 1998) is that it is often possible to develop records
<br />that are 10 to 100 times longer than conventional or
<br />historical records from other data sources. This information
<br />thus has the potential to provide estimates of Large to Rare
<br />flood peaks that are independent of rainfall-based
<br />procedures. Such information can provide estimates of
<br />design floods directly, or else can be used to help select
<br />AEP-neutral design inputs for rainfall-based procedures
<br />(Section 4.3.4 c).
<br />
<br />Paleoflood data provides estimates on the stage limits
<br />of the largest floods over long time periods. A hydraulic
<br />model is then required to convert the stage information to
<br />estimates of peak discharge. One component of a
<br />paleohydrologic estimate is the time period over which the
<br />peak discharge estimate applies. This information can
<br />provide either exceedance, or non-exceedance bounds on
<br />the flood peaks, which can then be incorporated into a flood
<br />frequency analysis along with maxima derived from other
<br />historic and gauged records. Maximum likelihood
<br />procedures are available that allow the historical record to
<br />be represented by thresholds that were not exceeded, and
<br />by flood events whose magnitude is known only to have
<br />exceeded a threshold, to ~e within a range, or which can be
<br />described by a precise value (Stedinger and Cohn, 1986;
<br />Stedinger and Baker, 1987; Stedinger et aI., 1988).
<br />
<br />A detailed description of paleoflood procedures is
<br />outside the scope of this document, though details are
<br />outlined in Pickup (1989), Baker (1987) and Kochel and
<br />Baker (1988). Il should be recognised, however, that the
<br />r$quited analyses require speciaffst interdisciplinary
<br />knowledge (National Research Council, 1988) and
<br />resources that are notionally equivalent to, or greater than
<br />
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<br />those required for traditional hydrological investigation. An
<br />increasing number of paleohydrological studies have been
<br />undertaken in Australia to date (e.g. Baker and Pickup,
<br />1987; Baker et aI., 1988; Pickup et aI., 1988; Saynor and
<br />Erskine, 1993; Erskine, 1994; Wahl, 1992; Wahl et aI.,
<br />1994), and the science is increasingly being used as an
<br />input to deriving design flood estimates overseas (e.g.
<br />USBR,1998).
<br />
<br />A general review of paleohydrological procedures is
<br />provided in Costa (1986) and Baker et al. (1988), and
<br />Pickup (1989) provides an Australian perspective. One
<br />widely used technique, slackwater studies, uses fine-
<br />grained sediment that accumulates in backwater areas to
<br />construct a detailed history of past floods. Deposition of this
<br />sediment typically requires specific hydraulic conditions that
<br />can be related to maximum flood stage, and usuaily
<br />contains dateable material that can be used to establish the
<br />age of the flood. Other paleoflood techniques make use of
<br />flood scour or trim lines, botanic information such as tree
<br />scars and vegetation patterns, sedimentologic evidence
<br />such as gravel bar heights and gravel sizes, or archeologic
<br />and historical information to establish a maximum flood
<br />stage over some time period (USBR, 1998). .
<br />
<br />It is quite possible that rainfall-based and paleohydrol-
<br />ogical procedures will provide different estimates of peak
<br />floods, though this is not surprising given the widely
<br />different sources of information used to derive the
<br />estimates. Efforts should be made to reconcile the
<br />differences. At the very least, design inputs should be
<br />varied within expected limits to see if the differences
<br />between the limits can be narrowed, and ideally the
<br />uncertainties should be explicitly evaluated to determine
<br />the width of the confidence limits. The assumptions behind
<br />each procedure should be carefully examined. For example
<br />with rainfall-based procedures, there is very little known
<br />about the manner in which non-linearity changes with flood
<br />magnitude, and the differences between design fiood
<br />estimates may easily be explained by different assumptions
<br />regarding non-linearity. Similarly, certain assumptions will
<br />be inherent in the adopted paleohydrological technique. For
<br />example assumptions made concerning the stationarity of
<br />climate over the Holocene epoch will have a significant
<br />impact on the manner in which the flood estimates are
<br />treated.
<br />
<br />Overall, it is recognised that paleohydrological
<br />techniques have received little attention in Australia to date,
<br />but their potential for providing useful information on Large
<br />to Rare floods has been demonstrated in other countries
<br />(most notably the Western United States). In view of the
<br />potential benefits, it is recommended that the use of
<br />paleoflood data should be considered where expenditure of
<br />the additional resources can be justified.
<br />
<br />5 ADDITIONAL DESIGN
<br />CONSIDERA TIONS
<br />
<br />5.1 General
<br />
<br />There are a number of additional considerations that
<br />are relevant to some design situations and the following
<br />sections detail some of the more common issues that need
<br />to be considered. The importance of these considerations,
<br />and hence the complexity of the techniques required to
<br />adequately address the issues, is very much dependent on
<br />the characteristics of the specific design problem. For
<br />example, Ylhere the storage vatume of a reservoir is large
<br />compared to the volume of catchment runoff, the choice of
<br />initial starting levels in the reservoir is likely to have a more
<br />
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