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Last modified
1/25/2010 6:24:01 PM
Creation date
10/4/2006 10:45:30 PM
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Floodplain Documents
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Statewide
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State
Stream Name
All
Basin
South Platte
Title
Alluvial Fan Flooding
Date
1/1/1996
Prepared For
State of Colorado
Prepared By
National Research Council
Floodplain - Doc Type
Educational/Technical/Reference Information
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<br />20 <br /> <br />ALLUVIAL FAN FLOODING <br /> <br />thus establishing a relationship between inundation depth above a point (such as the finished floor <br />ofa house) and the recurrence interval. Figure 1-4a(iv) shows the cases for the main channel and <br />the higher surface (labeled 2 on the cross section), which is often called the overbank area or the <br />floodway jril/ge. The stage recurrence graph developed in this manner always has some <br />uncertainty, but it is usually not presented. The riverine approach provides a clear method that <br />allows us to communicate about flooding and to make reproducible calculations of its severity. <br />Over time it has become widely accepted and its weaknesses seldom questioned. <br />Figure 1-4b shows the analogous components of an analytical approach to alluvial fan <br />flooding. First, the discharge recurrence relationship is estimated for the apex of the fan. Second, <br />based on the knowledge that the perceived or historical flow path may not convey all of the water <br />during a flood, it is assumed that the actual flow path has no greater chance of occupying the <br />perceived channel than it does of straying to any location on the fan. This default assumption is <br />shown in Figure 1-4b(ii). The relationship between depth and discharge is then determined using <br />the method proposed by Dawdy (1979) (although a case can be made for altering this step by <br />using the process-based knowledge described in Chapter 3 and an alternative solution to the <br />conditional probability). Finally, the inundation depth and velocity are delineated based on the <br />assumption that the entire fan surface is subject to flooding. The predicted degrees of flood <br />hazard for the surfaces labeled I and 2 are identical because the procedure knows nothing of the <br />differences between them. Real floods on alluvial fans are, of course, much more complex than <br />this. <br />An important implication of this approach to the prediction of flood risk on alluvial fans is <br />illustrated in Figure 1-5, which portrays a flood-prone surface with three distinct elevations, <br />labeled I, 2 (the main, recently occupied channel), and 3. In the traditional riverine flooding <br />paradigm (Figure 1-5a) the historical channel is the main conveyor of the base flood and the <br />computation of the water surface in "overbank" areas is based on the conveyance capacity of a <br />single cross section that includes surface 2. This approach shows surface 3 as "wet" merely as a <br />consequence of surface 2 being too small to convey the entire flood. Surface 1 is above the <br />computed base flood elevation and could therefore be shown as outside of the 100-year floodplain <br />on the FIRM. In such areas, we imply that the probability density function that describes flow <br />path location within the lateral domain is narrow and strongly peaked, that is, that all of the flow <br />behaves hydraulically as a single channel contained within a relatively narrow zone that does not <br />shift during the event. <br />Figure 1-5b portrays the case of alluvial fan flooding where, during the base flood event, <br />the channel might separate into two branches upstream of the cross-section, allowing a flow path <br />to develop that invades the higher surface I. After such a flow split occurs upstream, surface 1 <br />may be flooded even during events smaller than the 100-year event depending on the specific <br />behavior of a real sequence of floods. If the alluvial fan flooding paradigm is applied to the <br />situation (Figure 1-5b), surface I is treated as a separate flow path, which it may well become <br />during an actual flood. The corresponding probability density function for this situation shows <br />three peaks indicating that each of surfaces I, 2, and 3 have a finite chance of conveying water <br />during a flood. Based on this potential, multiple scenarios are analyzed that represent the possible <br />distribution of flows on the three surfaces. From this information, a separate baseflood elevation is <br />computed for each surface via the conditional probability equation. The FIRM in this case would <br />show that surface I is indeed subject to flooding. (Note: The probability density functions in these <br />figures are shown to illustrate the difference between the two flooding perspectives. Showing the <br />
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