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<br />Data Sources <br /> <br />- <br />21 <br /> <br /> <br />flood frequency analysis is the statistical nature of climatic variability. Flood <br />frequency analysis is traditionally based on the assumption that flood magnitudes are <br />independent and identically distributed in time. As previously discussed, changes in <br />watershed vegetative cover due to humans or natural disturbances (fires, blowdowns, <br />etc.) can change the probability distribution of floods, and invalidate the assumption <br />that floods are identically distributed in time. Climatic variability can also pose a <br />problem. Over decades it may be a useful approximation to assume that climate and <br />flood magnitudes are independent and identically distributed in time. Over <br />thousands of years, such an approximation may not be warranted. <br />Several recent papers have provided evidence that flood magnitudes are not <br />independent and identically distributed over the last 5,000 to 10,000 years. Based on <br />a 7,000-year record of overbank floods for upper Mississippi River tributaries, Knox <br />(1993, p. 430) concludes: "During a warmer, drier period between about 3,300 and <br />5,000 years ago, the largest, extremely rare floods were relatively small-the size of <br />floods that now occur once every 50 years. After -3,300 years ago, when the climate <br />became cooler and wetter, an abrupt shift in flood behavior occurred, with frequent <br />floods of a size that now recur only once every 500 years or more. Still larger floods <br />occurred between about A.D. 1250 and 1450, during the transition from the medieval <br />warm interval to the cooler Little Ice Age. All of these changes were apparently <br />associated \vith changes in mean annual temperature of only about 1-20C and <br />changes in mean annual precipitation of ,;;10-20%." Knox's evidence suggests that <br />during the past 7,000 years, floods on upper Mississippi River tributaries have not <br />behaved as independent and identically distributed random variables. <br /> <br /> <br />FIGURE 2.2 An ideal channel for studying slack-water deposits-the Escalante River in Utah. <br />The person on the left is standing on a typical sequence of slack-water deposits, which were <br />deposited where the flow velocity decreased in the canyon of the Escalante River. SOURCE: <br />Robert H. Webb, U.S. Geological Survey. <br />