Laserfiche WebLink
<br />...i"1.~1.""'''C~-~-.--~ -~~-~_.~....-....-. <br />." ../ <br />, I ~F.. <br />,.-;:- '. <br /> <br />ESTIMATING FLOOD FLOWS <br />FROM MIXED POPULATIONS IN COLORADO <br /> <br />By William P. Stanton,l and Wen-Sheng Liang2 <br /> <br />ABSTRACT <br /> <br />Floods in Colorado may be caused by intense thunderstorms, broad general <br />rains, melting snow, rain on melting snow, ice jams, dam failures, or some <br />combination of these, When flood frequency curves are derived from the annual <br />series of peak recorded flows for each year regardless of the cause of <br />flooding, the data are said to come from a "mixed population," <br />A flood flow frequency analysis based on a mixed population of snowmelt <br />and rainfall peak discharges, which comprise two distinct and generally inde- <br />pendent populations, will tend to underestimate flood magnitudes for rare <br />events in Colorado, Flood frequency analysis using stream gauge data will be <br />improved if a separate annual series from rain and snowmelt events can be <br />identified from the record. The frequency-discharge curves may then be sta- <br />tistically combined to give a composite frequency-discharge curve for the <br />gauge site, <br />For an ungauged site, several gauged subbasins which comprise a homoge- <br />neous region may be analyzed individually to determine statistical parameters <br />from each event at each station, By regression analysis, the statistical <br />parameters may be related to measurable subbasin and climatic variables. The <br />statistical parameters should be given weights equal to the station's length <br />of record in the regression analysis, <br />As a practical example, the mean logarithm, coefficient of variation of <br />logarithms, and skew coefficient of logarithms of peak flows were used to <br />define a log-Pearson type III distribution for 22 stream gauging stations in <br />the Upper San Juan River basin in Colorado. Drainage basin area and mean <br />watershed elevation were found to have an influence on the frequency curves. <br />If the basin or climatic variables in a given site are known, the <br />regional statistical parameters can be determined from the regression <br />equations, and discharge-frequency curves for. each independent population can <br />be computed, After these curves for the .independent events are statistically <br />combined, the results will be compatible. with other records in the region. <br />The discharge-frequency curve may be adjusted to reflect long-term records in <br />the vicinity of the site if present, ., '. . <br /> <br />INTRODUCTION <br /> <br />Flood flow estimates have long played an important role in land use <br />planning, Knowledge of peak flood discharges at various frequencies is an <br />essential element in assessing flood hazards. Both structural and non- <br />structural approaches to reducing flood damages must be based on sound <br />hydrologic principles. Special conditions unique' to, the West and the Rocky <br />Mountain Region become apparent when estimating flood flows in Colorado. <br /> <br />1 Supervising Water Resources Engineer, Colorado Water Conservation Board <br />2 Associate Principal Engineer, Simons, Li & Associates, Inc. <br />