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Estimating the Water Requirements for Plants of Floodplain Wetlands

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Seven points over <strong>the</strong> flow range is barely enough to define <strong>the</strong> shape<strong>of</strong> an incremental inundation map, and ten points is suggested as atarget. Nine points <strong>for</strong> <strong>the</strong> Chowilla floodplain (Figure A1 – 1) wereenough to define <strong>the</strong> linear part <strong>of</strong> <strong>the</strong> inundation-area curve (Figure20).The type <strong>of</strong> floodplain, whe<strong>the</strong>r confined or unconfined, can influencehow inundated area is presented, and what hydrologic variable to use.On confined floodplains, such as Chowilla, where <strong>the</strong> total floodplainarea can be defined, <strong>the</strong>n inundated area can be expressed as apercentage <strong>of</strong> <strong>the</strong> floodplain, which can be a more effectivecommunication tool than absolute area. The data shown (Figure A1 – 1)range from 5.2% at 33,110 ML/ day to 77.2% at 101,100 ML/day.Figure A1 – 1. Inundation-area curveInundation-area curve <strong>for</strong> a confined floodplain wetland, <strong>the</strong> Chowillafloodplain, South Australia. The nine images cover a range <strong>of</strong> flows fromwithin a relatively narrow time frame, from 1984 to 1990, <strong>for</strong> a risinglimb (from Noyce and Nicolson 1993).15000Inundated area (ha)10000500000 25 50 75 100 125River Murray flow (ML day) ¥ 10 –3Inundation area can be related to hydrologic variables using linear andnon-linear regression analysis. If <strong>the</strong> regression is statistically significant,it can be used predictively, but should not be applied beyond <strong>the</strong> range<strong>of</strong> <strong>the</strong> data used in <strong>the</strong> defining <strong>the</strong> linear part <strong>of</strong> this curve. Numericalanalysis is relatively new and has been tried in relation to <strong>the</strong> GreatCumbung Swamp by Sims (1996) and by Brady et al. (1998). Multipleregression is one way to accommodate antecedent conditions, and wastried on <strong>the</strong> Lachlan River. The mixed success <strong>of</strong> this first attempt (TableA1 – 3) does not invalidate this approach, which could have great valueif predictive ability could be improved. In this case, <strong>the</strong> combinedrainfall/evaporation factor contributed most to <strong>the</strong> discrepancy.Standardisation Standardisation is as important as o<strong>the</strong>r factors inlimiting interpretation, and in achieving cost-efficiency. Nearly allinvestigation on floodplain wetlands in <strong>the</strong> Murray–Darling Basin havefound that, <strong>for</strong> a number <strong>of</strong> reasons, <strong>the</strong> number <strong>of</strong> images used inanalysis was considerably less than <strong>the</strong> number purchased.This is a clear message that image selection needs to consider twoantecedent conditions: soil moisture, whe<strong>the</strong>r wet or dry (time sincelast flood, time since major rainfall); and timing <strong>of</strong> image relevant t<strong>of</strong>lood hydrograph (rising limb, flood peak, falling limb). These can be104 <strong>Estimating</strong> <strong>the</strong> <strong>Water</strong> <strong>Requirements</strong> <strong>for</strong> <strong>Plants</strong> <strong>of</strong> <strong>Floodplain</strong> <strong>Wetlands</strong>

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