globalchange  > 气候变化事实与影响
DOI: doi:10.1038/nclimate2516
论文题名:
The changing nature of flooding across the central United States
作者: Iman Mallakpour
刊名: Nature Climate Change
ISSN: 1758-1026X
EISSN: 1758-7146
出版年: 2015-02-09
卷: Volume:5, 页码:Pages:250;254 (2015)
语种: 英语
英文关键词: Hydrology ; Climate-change impacts
英文摘要:

In the twentieth and twenty-first centuries, flooding has taken a devastating societal and economic toll on the central United States, contributing to dozens of fatalities and causing billions of dollars in damage1, 2. As a warmer atmosphere can hold more moisture (the Clausius–Clapeyron relation), a pronounced increase in intense rainfall events is included in models of future climate3. Therefore, it is crucial to examine whether the magnitude and/or frequency of flood events is remaining constant or has been changing over recent decades. If either or both of these attributes have changed over time, it is imperative that we understand the underlying mechanisms that are responsible. Here, we show that while observational records (774 stream gauge stations) from the central United States present limited evidence of significant changes in the magnitude of floodpeaks, strong evidence points to an increasing frequency of flooding. These changes in flood hydrology result from changes in both seasonal rainfall and temperature across this region.

Over the past century, the central United States (CUS) has been plagued by a series of large floods such as those that occurred in 1993, 2008, 2011, 2013 and 2014. These events had adverse societal consequences including decreased food production and displacement of communities/people, led to economic losses reaching billions of dollars1, 2, and portend future increases in flood activity. However, the question remains: is the character of recent flooding truly distinct from the long-term averages, or is it simply an artefact of our relatively short collective memory?

Use of historical records to ascertain change over time globally has thus far proved inconclusive. The Intergovernmental Panel on Climate Change4 concluded that ‘there continues to be a lack of evidence and thus low confidence regarding the sign of trend in the magnitude and/or frequency of floods at a global scale.’ A number of observational studies that examined changes in the magnitude of annual maximum peak discharge over the CUS (refs 5, 6, 7, 8) reached similar conclusions. The lack of evidence for an increase in peak discharge becomes even clearer when examining trends in the magnitude of the annual maximum daily discharge data for 774 US Geological Survey (USGS) stream gauge stations across the CUS over the common 1962–2011 time period (Fig. 1a; consult Methods for more information on how the analyses are performed). Over most of the study area, no statistically significant trends are identified; annual peak discharge magnitude has apparently not been increasing over most of the twentieth and early twenty-first centuries. Overall, 158 (20%) of these stations exhibit statistically significant changes in the magnitude of flood peaks, and of these, 101 (13% of the total number) are characterized by a trend towards increasing flood magnitude, with many of them concentrated in the greater Chicago area. These results are consistent with previous studies5, 7, 8, 9, 10, which also failed to detect widespread evidence of changing flood magnitude over the CUS.

Figure 1: Trends in the magnitude and frequency of flood events at the annual scale.
Trends in the magnitude and frequency of flood events at the annual scale.

a,b, Maps summarizing the results for trends in the magnitude (a) and frequency (b) of flood events. The blue (red) triangles indicate the location of the stations with increasing (decreasing) trends at the 5% level. There are 264 (101) stations with increasing trends in frequency (magnitude) and 66 (57) stations with decreasing trends in frequency (magnitude). The grey circles refer to the location of the stations that did not experience statistically significant changes (at the 5% level). These results refer to the common 1962–2011 time period.

For this study, we use 774 USGS stream gauge daily records with at least 50 years of data ending no earlier than 2011 over the central United States, with no more than two continuous years of missing data (a year is considered missing with less than 330 days; Supplementary Figs 8 and 9). Our study region includes the following 14 states: North Dakota, South Dakota, Nebraska, Kansas, Missouri, Iowa, Minnesota, Wisconsin, Illinois, West Virginia, Kentucky, Ohio, Indiana and Michigan (Supplementary Fig. 8). We based our precipitation analyses on the unified gauge-based daily observation data24 that is available from the National Oceanic and Atmospheric Administration (NOAA) Climate Prediction Center (CPC) from 1948 to 2012. This daily product has a grid resolution of 0.25°. We based our temperature analyses on gridded monthly mean surface air temperatures by the University of Delaware25 for the 1948–2011 time period. This product has a grid resolution of 0.5°.

To detect changes in the magnitude of flood peaks and annual maximum daily rainfall, we used a block maximum approach (that is, the block is either the whole year or a season) and extracted the largest daily value within each block for each stream gauge station. We used the Mann–Kendall test to test for the presence of monotonic patterns. We used a POT approach to examine changes in the frequency of flood and heavy rainfall events and selected the threshold for flood events so that we have, on average, two events per year to focus on the larger flood events. Moreover, to avoid counting the same event twice, we allow only one peak within a 15-day period. For precipitation, we set a threshold that was equal to the 95th percentile of the rainfall distribution at each pixel. As a result of the discrete nature of the data, we used Poisson regression to ascertain whether or not there are trends in the number of flood or heavy rainfall events. Note that the results in Figs 14 do not account for the potential presence of abrupt changes7. When working on the annual maximum discharge records (Supplementary Fig. 10A), we examined abrupt changes using the Lombard test26 and applied the Mann–Kendall test over the most recent period. If no breaks were detected, then we applied the Mann–Kendall test to the entire record. If smooth or abrupt changes were detected, we applied the Mann–Kendall test only to the sub-series after the year of the change (consult Supplementary Fig. 11 for the length of these testing periods). Similarly, we used segmented regression to account for possible abrupt changes in the annual POT flood count data27. Similar to the block maxima results, we show the trend results for the entire record (in the case of no abrupt changes; Supplementary Fig. 10C) or based on the most recent segment (in the presence of breaks in the slope of the regression line; Supplementary Fig. 10D).

  1. Downton, M. W., Miller, J. Z. B. & Pielke Jr, R. A. Reanalysis of US National Weather Service flood loss database. Nat. Hazards Rev. 6, 1322 (2005).
  2. Xiao, Y., Wan, J. & Hewings, G. J. D. Flooding and the Midwest economy: Assessing the Midwest floods of 1993 and 2008. GeoJournal 78, 245258 (2013).
  3. Sillmann, J., Kharin, V. V., Zwiers, F. W., Zhang, X. & Bronaugh, D. Climate extremes indices in the CMIP5 multimodel ensemble: Part 2. Future climate projections. J. Geophys. Res. 118, 24732493 (2013).
  4. IPCC Climate Change 2013: The Physical Science Basis (eds Stocker, T. F. et al.) 1535 (Cambridge Univ. Press, 2013).
  5. Lins, H. F. & Slack, J. R. Seasonal and regional characteristics of US streamflow trends in the United States from 1940 to 1999. Phys. Geogr. 26, 489501 (2005).
  6. Novotny, E. V. & Stefan, H. G. Stream flow in Minnesota: Indicator of climate change. J. Hydrol. 334, 319333 (2007).
  7. Villarini, G., Serinaldi, F., Smith, J. A. & Krajewski, W. F. On the stationarity of annual flood peaks in the continental United States during the 20th century. Wat. Resour. Res. 45, W08417 (2009).
  8. Villarini, G., Smith, J. A., Baeck, M. L. & Krajewski, W. F. Examining flood frequency distributions in the Midwest US. J. Am. Water Resour. Assoc. 47, 447463 (2011).
  9. Schilling, K. E. & Libra, R. D. Increased baseflow in Iowa over the second half of the 20th century. J. Am. Water Resour. Assoc. 39, 851860 (2003).
  10. Peterson, T. C. et al. Monitoring and understanding changes in heat waves, cold waves, floods, and droughts in the United States: State of knowledge. Bull. Am. Meteorol. Soc. 94, 821834 (2013).
  11. Hirsch, R. M. & Ryberg, K. R. Has the magnitude of floods across the USA changed with global CO2 levels? Hydrol. Sci. J. 57, 19 (2012).
  12. Pryor, S. C., Howe, J. A. & Kunkel, K. E. How spatially coherent and statistically robust are temporal changes in extreme precipitation in the contiguous USA? Int. J. Climatol. 29, 3145 (2009).
  13. Villarini, G. et al. On the frequency of heavy rainfall for the Midwest of the United States. J. Hydrol. 400, 103120 (2011).
  14. Villarini, G., Smith, J. A. & Vecchi, G. A. Changing frequency of heavy rainfall over the central United States. J. Clim. 26, URL:
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/4854
Appears in Collections:气候变化事实与影响
科学计划与规划
气候变化与战略

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Iman Mallakpour. The changing nature of flooding across the central United States[J]. Nature Climate Change,2015-02-09,Volume:5:Pages:250;254 (2015).
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