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<br />ship for an equivalent rural basin. For each station, <br />peak discharge was estimated for the 2-, 5-, 10-, 25-, <br />50-, 100-, and 500-year recurrence intervals. <br />For the urbanized basin the flood-frequency esti- <br />mates were derived either from actual peak discharge <br />data or from synthesized data using a calibrated rainfall- <br />runoff model. When both types of data were available, <br />a weighted estimate was computed. Log-Pearson Type III <br />procedures. as recommended by the Water Resources <br />Council (1977), were used to fit each frequency curve to <br />the data. <br />Estimation of the skew coefficient of the annual <br />peak data for urban basins was given considerable atten- <br />tion because there are no recommended or generally <br />accepted procedures available for estimating skew coef- <br />ficients for urban areas. The regional skew map provided <br />by the Water Resources Council (1977) was developed <br />from rural data and does not necessarily represent urban <br />conditions. Therefore, this map was not used directly <br />for estimates of skew in the urban basins. Skew is possi- <br />bly related to basin characteristics, including urban fac- <br />tors which probably affect the magnitude of the skew <br />coefficient. With these considerations in mind, attempts <br />were made to relate station skew values to various basin <br />and urban parameters. Many parameters were tried, <br />and the only one that sbowed a relation to skew was a <br />soils index, SCSS. SCSS is computed from equation I: <br /> <br />1000 <br />SCSS=--IO <br />CN <br /> <br />where CN is the soil-cover-complex curve number as <br />described by the Soil Conservation Service (1975). This <br />parameter is an index of potential infiltration that could <br />be related to the skew coefficient. The relationship <br />defined by regression was: <br /> <br />Gs =0.15(SCSS)-0.45 <br /> <br />where Gs is tbe skew coefficient computed from the <br />urban peak flow data. Even though the equation is sta- <br />tistically significant, the standard error of regres,sion is <br />approximately equal to the standard deviation of tbe <br />skew values, so the equation offers little practical im- <br />provement over the use of a mean skew and consequently <br />the relationship was not used in this study. Stations with <br />synthesized data were also studied, and it was found <br />that the skew coefficient computed from these data <br />related to an infiltration index defined from the cali- <br />brated model parameters. Again. the relationship was <br />poor and was not used to estimate the skew coefficients <br />for this study, <br />To provide regional skew estimates for this study <br />it was decided that the most practical approach would <br /> <br />(I) <br /> <br />be to define an average skew value for eacb city or met- <br />ropolitan area. For cities having three or more gaging <br />sites, skew coefficients computed from the gaged flood <br />records were averaged and then compared for consis- <br />tency to (I) the mean skews from nearby cities, (2) the <br />regional skew given by the Water Resources Council <br />(1977), and (3) the mean skew defined by synthesized <br />data if available. A skew coefficient was assigned to <br />each metropolitan area on the basis of the computed <br />mean and tbe above comparisons. These assigned city <br />skew coefficients (see table I) were weighted with skew <br />coefficients computed from actual flood-peak records <br />according to the Water Resources Council (1977). For <br />those stations having long-term (50- to 100-year) syn- <br />thetic peaks based on rainfall-runoff modeling, the <br />skew coefficients used were computed directly from the <br />synthesized data because these data were considered <br />more reliable than the city average skew values. <br />Flood-frequency data for equivalent rural condi- <br />tions at each study basin were estimated from the appli- <br />cable Geological Survey flood-frequency reports. The <br />specific report used for each city is referenced in table 1 <br />by the author's name and date of the publication. Com- <br />plete bibliographic references are given in the "Refer- <br />ences" section of this report. <br />Appendix II provides a listing of the most recent <br />(1981) flood-frequency reports for all 50 States. These <br />reports can be used to estimate the equivalent rural dis- <br />charge at most sites in the United States. As future <br />reports become available tbey should be used in place of <br />the reports in this list. <br />In addition to the two sets of flood-frequency data <br />thus far described, the data base also includes f1ood- <br />frequency estimates based on skew computed from the <br />actual peak record, and flood-frequency estimates com- <br />puted from model-synthesized data. Related information <br />includes log-Pearson Type III mean and standard devia- <br />tion, periods of record. Water Resources Council (1977) <br />regional skew, average city skew. and weighted station <br />skews. <br /> <br />(2) <br /> <br />ESTIMATING PROCEDURES <br />FOR UNGAGED URBAN SITES <br /> <br />The third phase of this project was to relate urban <br />flood magnitude and frequency to watershed character- <br />istics so that flood magnitude and frequency could be <br />estimated for ungaged watersheds. Many attempts to <br />derive a practical, easy-to-use method were made, most <br />of which involved linear multiple regression of several <br />dependent and many independent variables. This sec- <br />tion of the report describes the more significant results. <br />The three sets of estimating equations will be referred to <br />as the seven-parameter equations, the three-parameter <br /> <br />Estimating Procedures for Ungaged Urban Sites 9 <br />