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Hydrologic Issues for Dams - Association of State Dam Safety Officials

Hydrologic Issues for Dams - Association of State Dam Safety Officials

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are limited to record lengths <strong>of</strong> less than about 30 years; basic rainfall and temperature data areavailable <strong>for</strong> some stations <strong>for</strong> up to 150 years, but in most cases are limited to less than 100 years.Historical DataHistorical data can provide a means <strong>for</strong> extending the length <strong>of</strong> record <strong>for</strong> many types <strong>of</strong>data, in particular <strong>for</strong> observations <strong>of</strong> the most extreme events. These data are most commonly usedto extend streamflow records <strong>of</strong> peak discharge prior to organized stream gaging. Historicalobservations can provide in<strong>for</strong>mation <strong>for</strong> other types <strong>of</strong> data such as weather patterns and thefrequency <strong>of</strong> extreme storm events, or changes in land use or vegetation that may be significant torun<strong>of</strong>f modeling calculations. However, as with any type <strong>of</strong> historical data, the accuracy and validity<strong>of</strong> the observations must be carefully assessed and compared to the other types <strong>of</strong> data used in theanalysis.Pale<strong>of</strong>lood DataPale<strong>of</strong>lood hydrology is the study <strong>of</strong> past or ancient flood events which occurred prior to thetime <strong>of</strong> human observation or direct measurement by modern hydrological procedures (Baker, 1987).Unlike historical data, pale<strong>of</strong>lood data do not involve direct human observation <strong>of</strong> the flood events.Instead, the pale<strong>of</strong>lood investigator studies geomorphic and stratigraphic records (various indicators)<strong>of</strong> past floods, as well as the evidence <strong>of</strong> past floods and streamflow derived from historical,archeological, dendrochronologic, or other sources. The advantage <strong>of</strong> pale<strong>of</strong>lood data is that it is<strong>of</strong>ten possible to develop records that are 10 to 100 times longer than conventional or historicalrecords from other data sources in the western United <strong>State</strong>s. In addition, the pale<strong>of</strong>lood record is along-term measure <strong>of</strong> the tendency <strong>of</strong> a river to produce large floods. In many cases, pale<strong>of</strong>loodstudies can provide a long-term perspective, which can put exceptional annual peak dischargeestimates in context and assist in reconciliation <strong>of</strong> conflicting historical records.Pale<strong>of</strong>lood data generally include records <strong>of</strong> the largest floods, or commonly the limits on thestages <strong>of</strong> the largest floods over long time periods. This in<strong>for</strong>mation can be converted to peakdischarges using a hydraulic flow model. Generally, pale<strong>of</strong>lood data consist <strong>of</strong> two independentcomponents. One component is a peak discharge estimate; the second is a time period or age overwhich the peak discharge estimate applies. Pale<strong>of</strong>lood studies can provide estimates <strong>of</strong> peakdischarge <strong>for</strong> specific floods in the past, or they can provide exceedance and non-exceedance bounds<strong>for</strong> extended time periods. Each <strong>of</strong> these differing types <strong>of</strong> pale<strong>of</strong>lood data must be appropriatelytreated in flood frequency analyses.Extrapolation Limits <strong>for</strong> Different Data TypesThe primary basis <strong>for</strong> a limit on credible extrapolation <strong>of</strong> extreme flood estimates derivesfrom the characteristics <strong>of</strong> the data and the record length used in the analysis. The data used in theanalysis provide the only basis <strong>for</strong> verification <strong>of</strong> the analysis or modeling results, and as such,extensions beyond the data cannot be verified. Different risk assessments require flood estimates <strong>for</strong>different ranges <strong>of</strong> annual exceedance probability (AEP), and there<strong>for</strong>e analysis procedures and datasourcesshould be selected to meet project requirements. The greatest gains to be made in providingPaper 18 – Swain, Bowles, Ostenaa 128

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