Boulder and the Colorado Front Range have experienced devastating floods over the past week. We came out OK, though many friends and neighbors did not. My son's elementary school will be closed for a long while. (Thanks for the many emails of support and concern from friends, colleagues and readers.)Â If you'd like to help, please see this page with resources.
Boulder has long been recognized as being at risk to major flooding. The local paper, the Daily Camera reported in 2008:
"Boulder is the No. 1 flood-risk community in Colorado," said Cristina Martinez, a city civil engineer. "That's the message we want to get out there."
In 1975 the classic "first assessment " of natural hazards by Gilbert White and colleagues identified Boulder as one of the nation's top major disasters waiting to happen. (White was a long-time University of Colorado geography professor who lived a remarkable life. He died in 2006 aged 94.) The memorial at the top of this post in the Boulder floodplain, demarcating floods of different levels, was raised in White's honor in 2011.
After many decades of relatively frequent flooding in the early parts of the 20th century, Boulder has been on a lucky streak which had, until this week, lasted over forty years:
Serious floods have affected downtown Boulder in 1894, 1896, 1906, 1909, 1916, 1921, 1938, and 1969 with the worst being those of May 31-June 2, 1894 and May 7, 1969. The flood of 1969 was the result of four days of almost continuous rainfall (11.27â measured in Morrison and 9.34â at the Boulder Hydroelectric Plant three miles up Boulder Canyon from town).
Eric Lessard, an engineering project manager with the city's utilities department, said it's hard not to get complacent, because it's been so long since the 1894 flood that inundated the city."That's one of the biggest problems we have -- we've been really, really fortunate in Boulder. We haven't had any major floods in many, many years. It starts to give people a false sense of confidence"
Despite the long lucky streak, in recent decades Boulder, and the Colorado Front Range, have devoted considerable resources to flood mitigation efforts. It will be interesting in the months and years to come to assess the effectiveness of those efforts. Many lessons will no doubt be learned about what might have been done better, but I will be surprised if the many years of planning, investment and structural mitigation did not dramatically reduce the possible impacts of the recent floods.
In the aftermath of this week's Boulder flood some observers are already trying to out-do each other by making bigger and bigger claims of the so-called N-year flood. As might be expected the biggest claims (a 1,000-year event has the record so far!) are made by those who seek to link causality of Colorado disaster to human-caused climate change in a simplistic way (those interested in this topic can have a look at the second fallacy covered in the paper below). There has been better reporting too, such as this from NBC.
Below I provide an excerpt from a 1999 paper of mine titled "Nine Fallacies of Floods" (a title suggested by Mickey Glantz) which takes issue with the common usage of the concept of the so-called "100-year flood." The first "fallacy" in that paper is that "flood frequencies are well understood."
Not only is the assumption that flood frequencies are well-understood a fallacy, but the entire notion of the N-year flood is predicated upon a view of stationarity in the statistics of climate that has come into question in the flood research community (which is related to, but also independent of research on human-caused climate change.) See this paper for a discussion of the ongoing debate.
Here is the full citation:
Pielke, Jr. R. A. 1999. Nine fallacies of floods. Climatic Change 42:413-438.
If anything, in the years since I wrote this paper, my views on the utility of the "100-year flood "concept have become stronger -- it is a great example of an oft-repeated scientific-sounding term that is in many important respects utterly wrong or misleading. In fact, it is not even wrong, perhaps wrongheaded is a better descriptor. However, being both wrong and wrongheaded does qualify the term as useful in the ongoing climate wars. So I guess it is here to stay.
Here is the excerpt:
Fallacy #1: Flood Frequencies are Well Understood
Flood experts use the terms âstageâ and âdischargeâ to refer to the size of a ï¬ood (Belt, 1975). A ï¬ood stage is the depth of a river at some point and is a function of the amount of water, but also the capacity of a river channel and ï¬oodplain and other factors. Hence, upstream and downstream levees and different uses of ï¬oodplain land can alter a ï¬oodâs stage. A ï¬ood discharge refers to the volume of water passing a particular point over a period of time. For example, in 1993 St. Louis experienced âthe highest stage weâve ever had, but not the biggest volumeâ.
Weâve had bigger ï¬ows, but the stage was different because the water could ï¬ow from bluff to bluff. Now we have communities in the ï¬oodplain. Every time you do something on a ï¬oodplain, you change the ï¬ood relationship. Every time a farmer plants a ï¬eld or a town puts in a levee, it affects upstream ï¬ooding. Thatâs why you canât really compare ï¬ooding at different times in history (G. R. Dryhouse quoted in Corrigan, 1993).
According to the World Meteorological Organizationâs International Glossary of Hydrology, âï¬ood frequencyâ is deï¬ned as âthe number of times a ï¬ood above a given discharge or stage is likely to occur over a given number of yearsâ (WMO, 1993). In the United States, ï¬ood frequencies are central to the operations of the National Flood Insurance Program, which uses the term âbase ï¬oodâ to note âthat in any given year there is a one percent chance that a ï¬ood of that magnitude could be equalled or exceededâ (FIFMTF, 1992, p. 9-7). The âbase ï¬oodâ is more commonly known as âthe 100-year ï¬oodâ and is âprobably the most misunderstood ï¬oodplain management termâ (FIFMTF, 1992, p. 9-7).
A determination of the probability of inundation for various elevations within a community is based on analysis of peak ï¬ows at a point on a particular river or stream. However, âthere is no procedure or set of procedures that can be adopted which, when rigidly applied to the available data, will accurately deï¬ne the ï¬ood potential of any given watershedâ (USWRC, 1981, p. 1). For many reasons, including limitations on the data record and potential change in climate, ârisk and uncertainty are inherent in any ï¬ood frequency analysisâ (USWRC, 1981, p. 2). Nevertheless, quantiï¬cation of risk is a fundamental element of ï¬ood insurance as well as many aspects of ï¬ood-related decision making.
In order to quantify ï¬ood risk, in the early 1970s the National Flood Insurance Program adopted the 100 year-ï¬ood standard (FIFMTF, 1992, p. 8-2). The standard was adopted in order to standardize comparison of areas of risk between communities. Since that time the concept of the N-year ï¬ood has become a common ï¬xture in policy, media, and public discussions of ï¬oods. Unfortunately, âthe general public almost universally does not properly understand the meaning of the termâ (FIFMTF, 1992, p. 9-7). Misconceptions about the meaning of the term creates obstacles to proper understanding of the ï¬ood problem and, consequently, the development of effective responses.
The 100-year standard refers to a ï¬ood that has a one percent chance of being exceeded in any given year. It does not refer to a ï¬ood that occurs âonce every 100 yearsâ. In fact, for a home in a 100-year ï¬ood zone there is a greater than 26% chance that it will see at least one 100-year ï¬ood over a period of 30 years (and, similarly, more than a 74% chance over 100 years). The general formula for the cumulative probability of at least one ï¬ood of annual probability P is (1â'P )^N >= C where N equals the number of years from now, and C is the cumulative probability over period N (P is assumed to be constant and events are independent from year to year). By choosing values for P and C one can compute the number of years that the cumulative probability (C) covers.
The concept and terminology of the â100-year ï¬oodplainâ was formally adopted by the federal government as a standard for all public agencies in 1977 under Executive Order 11988. In 1982 FEMA reviewed the policy and found that it was being used in the agencies and, lacking a better alternative, concluded that the policy should be retained (FIFMTF, 1992, p. 8-3). However, despite the FEMA review, use of the concept of the 100-year ï¬ood is encumbered by a number of logical and practical difï¬culties (cf. Lord, 1994).
First, there is general confusion among users of the term about what it means. Some use the term to refer to a ï¬ood that occurs every 100 years, as did the Midwestern mayor who stated that âafter the 1965 ï¬ood, they told us this wouldnât happen again for another 100 yearsâ (IFMRC, 1994, p. 59). Public confusion is widespread: A farmer suffering through Midwest ï¬ooding for the second time in three years complained that âTwo years ago was supposed to be a 100-year ï¬ood, and theyâre saying this is a 75-year ï¬ood, What kind of sense does that make? Youâd think theyâd get it rightâ (Peterson, 1995).
Second, the â100-year ï¬oodâ is only one of many possible probabilistic measures of an areaâs ï¬ood risk. For instance, in the part of the ï¬oodplain that is demarcated as the â100-year ï¬oodplainâ it is only the outer edge of that area that is estimated to have an annual probability of ï¬ooding of 0.01, yet confusion exists (Myers, 1994). Areas closer to the river have higher probabilities of ï¬ooding, e.g., there are areas of a ï¬oodplain with a 2% annual chance of ï¬ooding (50-year ï¬oodplain), 10% annual chance (10-year ï¬oodplain), 50% annual chance (2-year ï¬oodplain) etc., and similarly, areas farther from the river have lower probabilities of ï¬ooding. The â100-year ï¬oodplainâ is arbitrarily chosen for regulatory reasons and does not reï¬ect anything fundamentally intrinsic to the ï¬oodplain.
Third, the â100-year ï¬oodplainâ is determined based on past ï¬ood records and is thus subject to considerable errors with respect to the probabilities of future ï¬oods. According to Burkham (1978) errors in determination of the â100-year ï¬oodâ may be off by as much as 50% of ï¬ood depth. Depending on the slope of the ï¬ood plain, this could translate into a signiï¬cant error in terms of distance from the river channel. A FEMA press release notes that âin some cases there is a difference of only inches between the 10- and the 100-year ï¬ood levelsâ (FEMA, 1996). Further, researchers are beginning to realize an âupper limitâ on what can be known about ï¬ood frequencies due to the lack of available trend data (Bobée and Rasmussen, 1995).
Fourth, the 100-year ï¬oodplain is not a natural feature, but rather is deï¬ned by scientists and engineers based on the historical record. Consequently, while the â100-year ï¬oodplainâ is dynamic and subject to redeï¬nition based on new ï¬ood events that add to the historical record, the regulatory deï¬nition is much more difï¬cult to change. For instance, following two years of major ï¬ooding on the Salt River in Phoenix, Arizona, the previously estimated 100-year ï¬ood was reduced to a 50-year ï¬ood (FIFMTF, 1992, p. 9-7). What happens to the structures in redeï¬ned areas? Any changes in climate patterns, especially precipitation, will also modify the expected probabilities of inundation. For example, some areas of the upper Midwest have documented a trend of increasing precipitation this century (Changnon and Kunkel, 1995; Bhowmik et al., 1994). Furthermore, human changes to the river environment, e.g., levees and land use changes, can also alter the hydraulics of ï¬oods. Finally, the extensive use of the term â100-year ï¬oodâ focuses attention on that aspect of ï¬ooding, sometimes to the neglect of the area beyond the 100-year ï¬ood plain (Myers, 1994).
What can be done? Given the pervasive use of the concept of the â100-year ï¬oodâ in ï¬ood insurance and regulatory decision-making it seems that adoption of an alternative concept is unlikely. Nevertheless, there are a number of steps that can be taken by those who use the concept when dealing with policy makers and the public. First, we need to be more precise with language. The FIFMTF (1992) recommends the phrase âone percent annual chance ï¬oodâ as a preferred alternative to â100-year ï¬oodâ, âbase ï¬oodâ, or âone percent ï¬oodâ. [NOTE: USGS has since made such a change in terminology.] Another alternative is ânational base ï¬ood standardâ which removes reference to probability (Thomas, 1996, personal communication). Second, when communicating with the public and the media, ï¬ood experts could take care to convert annual exceedances into annual probabilities. And third, policy documents could rely less on the â100-year ï¬oodâ to illustrate examples and propose policies, and at the very least explicitly discuss ï¬oods of different magnitudes.
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