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<br />I <br />I <br />1 <br />I <br /> <br />..............~, .........."...........,..... ~""1:I'" ,... L..A....."..... .............. <br /> <br />Table 10 Prediction equations for preliminaJ)l estimates of long duration PMP events (mm) in the GSAM zone as a <br />function of catchment area (AREA, km') and 1 in SO AEP 72 hour rainfall intensity (501", mm/hr). <br /> <br />'~Ar~ <br />Durat;"."t " <br /> <br /> <br />I <br />I <br /> <br />12 PMP = 6732-126.9 x 10g,0(AREA) + 434AI0910(501,,) 35 0.85 39 8 <br />24 PMP = 113.1- 3.S11JAREA +404.0J50I" 43 0.91 48 8 <br />36 PMP = 138.5 - 4.055,/ AREA + 4S0.5J 50 I" 42 0.90 56 8 <br />48 PMP = 135.9 -4.414,/AREA + 492.7J50I" 43 0.91 59 8 <br />72 PMP = 125.5 -4,,6S6JAREA + S33.0J5ol" 43 0.88 72 9 <br /> <br />Table 11 Prediction equations for preliminaJ)l estimates of long duration PMP events (mm) in the GTSM zone as a <br />function of catchment area (AREA, km'), distance of the catchment centroid from the coast (COAST, km), latitude of <br />the catchment centroid (LAT, degrees South), and height of the intervening barrier between the catchment centroid <br />and the coast (HEIGHT, m AHD). <br /> <br />I <br />I <br />I <br />1 <br /> <br /> <br />JPMP = 40.17 -0.lS7xLAT -4A45Iog,0(AREA)-0269JCOAST <br />JPMP = 37,,31- 0218 x LAT - 0,,082JAREA - 0212JCOAST - 0.00175 x HEIGHT 85 0.92 1.1 4 <br />JPMP =44.19 - 0260 x LAT -0,,093JAREA - 0,,239'/COAST -0.00214 x HEIGHT 85 0.93 1.2 4 <br />JPMP = SS.86-0.34SxLAT -0.117JAREA -OA57JCOAST -0.00341 x HEIGHT 84 0.92 1.8 5 <br />JPMP = 63.66 - OA04 x LAT - 0.127JAREA - 0.6OSJCOAST -0.00450 x HEIGHT 84 0.89 2.5 6 <br />JPMP ~ 64.94 - 0.335 xLAT - 0.113J AREA - 0.622JCOAST - 0.00298 x HEIGHT 73 0.89 2.4 5 <br />JPMP ~ 68.24 - OA08 x lAT - 0.158JAREA - 0.630JCOAST - D.00324 x HEIGHT 59 0.87 2.4 5 <br />.JPMP =6823 - 0.397 xLAT - 0.163JAREA - 0.S8SJCOAST - 0.00286 x HEIGHT 59 0.89 2.2 5 <br />JPMP = 7223 - 0.440 x LAT - 0.181JAREA - 0.S32JCOAST - 0.00312 x HEIGHT 59 0.91 2.1 4 <br />*Note: Equations for PMP estimates of 120 hours and longer are applicable only to the East Coast Tropical Zone. <br /> <br />1 <br />1 <br />I <br /> <br />I <br /> <br />1 <br /> <br />I <br /> <br />1 <br />I <br /> <br />I <br /> <br />(of either rainfall or floods), must be derived using rainfall- <br />based procedures. The design details in the following <br />sections relate mainly to rainfall-based procedures. <br /> <br />In the design event approach described here, it is <br />assumed that the estimated design flood characteristic <br />(e.g. peak flood) has the same AEP as its causative design <br />rainfall. In order to satisfy this assumption it is necessary to <br />incorporate representative design values of all inputs and <br />parameters in such a way that they are AEP-neutral. In <br />practice this commonly requires that a designer selects a <br />single representative value from a wide range of all design <br />inputs (such as losses, temporal and spatial patterns, and <br />model parameters). The joint probability approaches <br />currently being researched are exp'lCted to perform better <br />in achieving an AEP-neutral transformation of design <br />rainfalls to floods (e.g. Beran, 1973; Haan and Schulze, <br />1987; Weinmann et aI., 1998). Continuous simulation <br />approaches aimed at achieving the same objective have <br />also been used (!::alver and Lamb, 1996; Boughton and <br />Hill, llle7).PraQjilion<lrs are IIIleO~ed to adopt these <br />more 'holistic' procedures once they have been more fully <br />tested and become avaiiable as design tODls. <br /> <br />(b) Steps in rainfall-based procedures. <br /> <br />The key input to the procedures is the appropriate <br />design rainfall information from Section 3. Rainfall excess <br />must be estimated from the design rainfalls after due <br />allowance is given to catchment losses. A rainfall-runoff <br />model must then be used to convert the rainfall excess into <br />the design hydrograph of direct runoff. Where suitable <br />rainfall and runoff data are available, the model selected <br />should be calibrated using observed floods on the <br />catchment of interest, and where appropriate the parameter <br />values should be adjusted to help reconcile differences <br />between design values derived from flood frequency <br />analysis and rainfall-based methods. In other cases. <br />design values for the model parameters must be estimated <br />from calibration on adj acent gauged catchments, regional <br />relationships, or other relevant information. Where a <br />concentrated storage, such as a reservoir or lake, can have <br />a significant impact on the catchment response to rainfall, <br />allowance must be made for liS effed. Finally, basel10w <br />must be added to the direct runoff hydrograph where <br />appropriate. Each of these steps is discussed in the <br />following sections. In each step, design values from the <br />