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FLOOD07643
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Last modified
1/25/2010 7:12:22 PM
Creation date
10/5/2006 3:07:29 AM
Metadata
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Template:
Floodplain Documents
County
Statewide
Basin
Statewide
Title
Physical and Economic Feasibility of Nonstructural Flood Plain Management Measures
Date
3/1/1978
Prepared For
US
Prepared By
US Army Corps of Engineers
Floodplain - Doc Type
Educational/Technical/Reference Information
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<br />J <br />\ <br />\ <br />\ <br />I, <br />" <br />" <br />\ <br />, <br />( <br />" <br />! <br />I <br />( <br />( <br />[ <br />l <br />( <br />I <br />, <br />, <br />1 <br /><: <br /> <br />i <br />, <br />I <br />i <br />f <br />( <br />~ <br />\ <br />( <br />i <br />~ <br />( <br />i <br />( <br />I <br />I <br />i <br />i <br />i <br />( <br />I <br />r <br />i <br />I <br />( <br />i <br />i <br />; <br />i <br />; <br />i <br />f <br />i <br />I <br />I <br />( <br />, <br />( <br /> <br />Computational Accuracy <br />Experience in the computation of expected annual damage has shown that there are a <br />number of factors associated with the computational technique which can affect the accuracy of <br />the expected annual value. These include: the number and location of discrete points used to <br />represent the elevation-frequency and depth-damage relationships; the shape of the <br />relationships; the numerical integration method used to weight the damage values according to <br />their probability of occurrence; the degree of asymmetry between elevation-frequency curves <br />in a family of such curves. Often computer programs are written and used to compute expected <br />annual damage without the realization that these factors can significantly influence the accuracy <br />of the computation. In this study most of these factors were recognized at the beginning and <br />steps were taken to preserve the accuracy of the computations, even so, several problems arose <br />and several adjustments had to be made. <br /> <br />Most of the analyses were made using fourteen points to represent the elevation-frequency <br />relationship (Figure A-1 data extrapolated to the annual event) and eighteen points to represent <br />the depth-damage relationships. The maximum number of points allowed by the computer <br />program was eighteen. These points were adequate for most computations. Some inconsisten- <br />cies in computed values did, however, develop. As an example see FigureA-31 and Table A-6, <br />where, with three feet protection and the 2 year flood event at the first floor, the damage <br />reduced for a flood hazard factor of 12.0 feet was greater than for a flood hazard factor of 8.0 <br />feet. Since there is virtually no damage below the first floor for a 1SNB structure, with and <br />without the protection, it was hypothesized that the total damage, Figure A-39 and Table A-8, <br />should increase as the flood hazard factor increased regardless of the event at the first floor and <br />with three feet protection damage reduced should decrease since the property above the <br />protection level is flooded more frequently as the flood hazard factor increases and the percent <br />being protected is less. It was recognized also that the damage computed was more sensitive <br />with the 2-year event at the first floor than with some less frequent event. <br /> <br />To investigate this, eighteen, instead of fourteen poin.ts, were selected to define the <br />elevation-frequency relationship (the additional four points were taken in the more frequent <br />range of events). This resulted in a lowering of the computed value of total expected annual <br />damage of from 1.0 to 6.0 percent, and a lowering of damage reduced with three feet protection <br />of less than 10 percent depending upon the flood hazard factor. This analysis was done for flood <br />hazard factors from 2.0 to 14.0 and a one story, no basement structure. Next, the data were <br />plotted and some visual smoothing was done and some of the eighteen points were modified <br />0.1 to 0.2 feet (elevation for a given frequency). This resulted in changes from 0.0 to 4.0 percent <br />(from the original total values), again, depending upon the flood hazard factor. The changes in <br />damage reduced were more than for total damage and consequently most of the <br />inconsistencies noted above were eliminated. Similar computations were made using the <br />smoothed data and a one story, with basement depth-damage relationship '(2-year event at the <br />first floor) and the difference was less than 2 percent of the original total values. Computations <br />were also made with a less frequent event at the first floor, the 10 year event. Using the <br />smoothed elevation-frequency data (eighteen points) for one story, with and without basement, <br />the changes from the original total expected annual damage values using the fourteen points <br />were negligible, less than 1.0 percent. What this analysis points to is the fact that for the 2-year <br />event at the first floor, using four additional points (eighteen points altogether), locating the <br /> <br />A-6 <br /> <br />- <br /> <br />~ -- <br /> <br />~---- <br />
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