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FLOOD01647
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Last modified
11/23/2009 10:40:31 AM
Creation date
10/4/2006 10:13:54 PM
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Floodplain Documents
County
Statewide
Title
Optimal Sizing of Urban Flood Control Systems
Date
3/1/1974
Prepared For
US
Prepared By
COE
Floodplain - Doc Type
Educational/Technical/Reference Information
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<br />Output Results,- The information output from the application of this technique <br />could, if not carefully controlled by a pragmatic study procedure, engulf the <br />analyst. The technique provides the capability to "what if" a great number <br />of items that probably would not be otherwise analyzed. Tools of this kind <br />should of course be applied to conduct sensitivity analysis but within reason <br />so that only information useful in the planning study is generated. It is worth <br />emphasizing herein that all analysis tools, and in particular computerized <br />methodology, have as their primary function the generation of information that <br />will be of use in decision making; not removing any decision-making requirements <br />from the planning function. Data are not necessarily information. <br />The outputs of a system optimization run for a set of system components, <br />performance functions costs, and economic functions are: (I) The derived optimal <br />size of each component of the system; (2) complete hydrologic simulation for <br />the derived system; (3) economic expected annual damage analysis for each <br />damage center in the system; (4) costs for each component of the system; <br />and (5) a system summary of component sizes, cost, performance, and system <br />net benefits for the derived optimum systel1}. Ref. 4 contains detailed illustrated <br />examples of data coding and program output together with explanations of data <br />sources and output interpretation. <br />Resources and Costs.- The Blue Waters Ditch analysis provides some insight <br />into the manpower requirements and computer costs of applying this technique. <br />The information had been previously developed for the Blue Waters Ditch area. <br />The primary effort was therefore to assemble the hydrologic data of loss rates, <br />unit hydrographs, routing criteria, etc., economic flow damage information for <br />the damage centers, and cost relationships in a form acceptable to the computer <br />program. The specific studies were processed and information analyzed as the <br />results became available. There were nine damage centers within the basin; <br />nine storage areas, two of which were variable in size; and one pumping facility. <br />The data preparation for the processing required about a man-week on the <br />part of a hydrologist, economist, and water resources planner. The detail <br />processing and interaction for the studies required about another week's time <br />of each of these individuals. The computer time associated with processing <br />a run was not trivial. Efficient processing for a complex system such as Blue <br />Waters requires a large capacity high-speed computer. While computer execution <br />times are rather meaningless because they are unique to a specific computer <br />facility and optimizatiOll problem, the following computer resources used for <br />the Blue Waters studies might be of interest. To process a given system <br />configuration to determine the optimum size of each of three components <br />optimized and to output the results required 15 min of accounting unit equivalents <br />on a CDC 7600 computer and resulted in costs that ranged between $30 and <br />$50 per computer run. The actual execution time ranged between J.5 min and <br />2.0 min but a great amount of input-output and system storage were required. <br />The study results were generated by about 12-15 successful computer runs. <br /> <br />. <br /> <br />SUMMARY AND CONCLUSIONS <br /> <br />" <br /> <br />A technique has been developed and the capability added to an existing Corps <br />of Engineers computer program, HEC-J (I), that automatically determines the <br />sizes of urban flood-control system components that result in maximizing total <br />
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