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Last modified
11/23/2009 10:51:19 AM
Creation date
10/4/2006 9:31:40 PM
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Floodplain Documents
County
Statewide
Community
State of Colorado
Title
Comprehensive Flood Plain Studies Using Spatial Data Management Techniques - Corps - Technical Paper No 47
Date
1/1/2001
Prepared For
State of Colorado
Prepared By
Hydrologic Engineering Center
Floodplain - Doc Type
Educational/Technical/Reference Information
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<br />e <br /> <br />, <br />. <br /> <br />precipitation excess is characterized by a unit hydrograph which is directly determined <br />from basin "lag" that is computed as a function of the curve number, mean land surface <br />slope within the subbasin and subbasin hydraulic length. Conventional calibration studies <br />are performed to develop the appropriate relationships between iand use and the hydro. <br />logic parameters (CN and lag). <br />The respective subbasin mean curve numbers for an alternative land use pattern are <br />determined automatically by assigning the calibrated curve number to each grid cell <br />within each subbasin depending upon the grid cell hydrologic soil group and grid cell land <br />use. and computing the mean value for each subbasin. The average subbasin land surface <br />slopes are computed in a similar manner. The lag, and thus unit hydrograph is developed <br />from an empirical lag equation containing relationships of CUIVe number, land surface <br />slope. and subbasin hydraulic length. The technique adopted is a modest extension and <br />automation of the method developed for San Diego County (Franzini,et al.. 1971). <br /> <br />e <br /> <br />Trail Creek Test Application <br /> <br />The Trail Creek Watershed was subdivided into the 21 subbasins shown on Figure 3 and <br />HEC-I model parameters were determined for each. The ioss rate functions (CN's) and <br />unit hydrograph lags were determined automatically from the grid cell data file using the <br />calibration data developed and tabuiated in Table 2. Table 2 also summarizes the hydro- <br />logic parameters for each subbasin that were automatically developed from the grid cell <br />data file by the data processing interface computer program HYDP AR. <br />Table 3 summarizes the results of evaluating the alternative conditions indicated. Note <br />that the flow rate increases for each of the specified probabilities but at a less propor- <br />tionate rate for rarer events. Note also that the flow rate change for say the IOO-year <br />event is different between control points and that the change in flood elevation is not <br />directly proportional to the change in flow. Study of the table indicates that the hydro- <br />logic consequences of land use and engineering works are complex and require careful <br />analysis. <br /> <br />FLOOD DAMAGE ANALYSIS <br /> <br />; <br /> <br />The objective of the analysis is to evaluate the damage potential of alternative land use <br />pallerns and/or specific development proposals. The existing conditions (1975) land use <br />pattern is evaluated with no assumptions as to land development controls (e.g., the <br />development exists). An alternative future land use pattern evaluation requires examina- <br />tion of policy assumptions regarding land use development controls. A method was <br />developed to automatically extract information from the data file and format it for ex. <br />pected annual damage assessments for the alternative land use patterns for alternative <br />land use development policies that consisted of generating damage potential functional <br />relationships from the grid celi data bank. The method constructs a unique elevation- <br />damage relation for each grid cell within the flood plain (based on ground elevation. land <br />use, and damage potential) and aggregates the individual cell damage functions to an index <br />location for each designated damage reach. The technique for aggregating the damage <br />functions is similar to the conventional method of using a reference flood to properly re- <br />ference each cell to the designated index location. The damage functions are merged with <br />hydrologic (flood frequency) and hydraulic (rating curve) data within the HEC.l program <br /> <br />e <br /> <br />9 <br /> <br />... <br />
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