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<br />..._,-._--_.-"',...~........._.;........ <br /> <br /> <br />22 <br /> <br />ALLUVIAL FAN FLOODING <br /> <br />general case, where a probability density function may be defined at each point of interest rather <br />than for a cross section, would unnecessarily complicate the drawing of Figure 1-5.) <br />The alluvial fan flooding approach (Figure l-5b) is a more realistic way of depicting the <br />floodplain boundaries of even a river system to a large flood because the riverine flooding <br />approach (Figure 1-5a) relies on maximizing conveyance in a preflood cross section to determine <br />which surfaces are flooded and ignores the possibility that a surface can be flooded due to the <br />redirection of flows at an upstream point. Thus, a key difference between alluvial fan flooding and <br />riverine flooding is the implicit assumption of spatial consistency of the depth discharge <br />relationship between adjacent surfaces. Based on physical processes, the alluvial fan flooding <br />approach is the superior way for viewing how floods occur in general, and the riverine flooding <br />approach is a special case where nothing out of the ordinary is going on. The question raised by <br />Figure 1-5 is whether the presence of uncertainty in flood processes by itself constitutes alluvial <br />fan flooding because failure to deal with channel changes by modeling scour, fill, and lateral <br />movement (as the riverine flooding approach fails to do) results in grossly inaccurate delineation <br />of flood hazard boundaries. <br />A previous National Research Council committee (NRC, 1983) concerned with the effects <br />of process uncertainty in alluvial rivers was faced with the question of whether flood studies <br />should use riverbed mobility models rather than fixed-bed models. Its conclusion was that the <br />uncertainty introduced by ignoring the effects of sediment degradation/aggradation was no greater <br />than the additional uncertainty introduced by. the use of mathematical techniques. That <br />committee's conclusion was that evaluating the effect of parameter uncertainty (i.e., the variation <br />in channel roughness, geometry, and slope) was a suitable way to deal directly with process <br />uncertainty in alluvial rivers. In other words, when executing the riverine flood paradigm it is <br />often better to identity the potential impacts of error upon predicting the behavior of real floods <br />than to strive for a more realistic approach in the hope that this error will go away. Simple <br />approaches often yield satisfactory results. For example, the Flood Insurance Study for the City of <br />Palmdale (FEMA, 1987, p. 8) recognizes this and contains the following counsel: <br /> <br />Average depths of flooding were assigned based on standard hydraulic calculations <br />through irregular cross sections. In many cases, the assigned average depth is not <br />representative of the true degree of flood hazard. This situation occurs where the <br />average depths are based on a wide cross section which encompasses one or more <br />low flow drainage courses. The actual depth of flooding and, consequently, the <br />true flood hazard will be greater adjacent to the drainage course, <br /> <br />The intensity of flood and sedimentation processes on many actively accumulating parts of <br />alluvial fans is much greater and the frequency, magnitude, and suddenness of channel changes are <br />more severe, however, than envisioned by the 1983 committee. In these more complex cases, the <br />problem of channel location and flow distribution can be guided by the kind of process-based <br />understanding, field evidence, and analysis techniques outlined in Chapters 2 and 3. <br />.' <br />