Flood Nonstationarity in the Southeast and Mid-Atlantic Regions of the United States
Publication: Journal of Hydrologic Engineering
Volume 19, Issue 10
Abstract
A case study examining aspects of nonstationarity in the estimation of flood magnitudes in the Southeast and mid-Atlantic United States is presented here. The focus is on challenges posed by changes in the number and location of stream gauges over time to assess climate variability and land-use land-cover (LULC) change impacts. The study shows that statistical outliers are spatially aligned with LULC change from urbanization independently of time period and record length across the region with substantial increases () in the magnitude of the 25-year and 100-year events since 1950. Large amplification () of the ratio of flood magnitude to the mean annual flood was detected in expanding urban areas, but only systematically for the 100-year event, suggesting that existing infrastructure constrains the sensitivity of flood response for events below applied engineering design criteria. Overall, annual streamflows do not exhibit statistically significant trends (98% cfl), except for positive trends in urban areas (), and negative trends in regulated rivers and regions of karst processes (). The critical importance of long-term, high-density observing networks as the basis to assess and interpret climate change and LULC impacts is stressed.
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Acknowledgments
The figures in this manuscript were drawn by Ms. Yajuan Duan (second author). The authors thank Dr. Rolf Olsen (Institute for Water Resources, U.S. Army Corps of Engineers), and four anonymous reviewers and the editors for their insightful comments and suggestions that helped improve the manuscript.
References
Barros, A. P. (2007). “Rainfall parameters for design storms under a changing climate.” Assessment Paper for the First and Second Workshops on Impact of Global Climate Change on Hydraulics and Hydrology and Transportation, Center for Transportation and the Environment, North Carolina State Univ. and USDoT(Pub), Washington, DC, 40.
Barros, A. P., and Evans, J. L. (1997). “Designing for climate variability.” J. Prof. Issues Eng. Educ. Pract., 62–65.
Brun, J., and Barros, A. P. (2013). “Mapping the role of tropical cyclones on the hydroclimate of the Southeast United States: 2002–2011.” Int. J. Climatol., 34, 494–517.
Burges, S. J., Wigmosta, M. S., and Meena, J. M. (1998). “Hydrological effects of land-use change in a zero-order catchment.” J. Hydrol. Eng., 86–97.
Conrads, P. A., Feaster, T. D., and Harrelson, L. G. (2008). “The effects of the Saluda Dam on the surface-water and ground-water hydrology of the Congaree National Park flood plain.”, USGS, South Carolina, 58.
Douglas, E., and Barros, A. P. (2003). “Probable maximum precipitation estimation using multifractals: Application in the Eastern United States.” J. Hydrometeorol., 4(6), 1012–1024.
Gesch, D. B. (2007). “The national elevation dataset.” Digital elevation model technologies and applications: The DEM users manual, 2nd Ed., D. Maune, ed., American Society for Photogrammetry and Remote Sensing, Bethesda, MD, 99–118.
Gilroy, K. L., and McCuen, R. H. (2012). “A nonstationary flood frequency analysis method to adjust for future climate change and urbanization.” J. Hydrol., 414–415(11), 40–48.
Hart, R. E., and Evans, J. L. (2001). “A climatology of the extratropical transition of Atlantic tropical cyclones.” J. Clim., 14, 546–564.
Hirsch, R. M. (2011). “A perspective on nonstationarity and water management1.” J. Am. Water Resour. Assoc., 47(3), 436–446.
Hollis, G. E. (1975). “The effect of urbanization on floods of different recurrence interval.” Water Resour. Res., 11(3), 431–435.
Kite, G. W. (1977). Frequency and risk analysis in hydrology, Water Resources Publications, Fort Collins, CO.
Koutsoyannis, D. (2006). “Nonstationarity versus scaling in Hydrology.” J. Hydrol., 324(1–4), 239–254.
Lettenmaier, D. P., Wood, E. F., and Wallis, J. R. (1994). “Hydro-climatological trends in the continental United States, 1948–88.” J. Clim., 7(4), 586–607.
Li, L., Li, W., and Barros, A. P. (2013). “Atmospheric moisture budget and its regulation of the summer precipitation variability over the southeastern United States.” Clim. Dyn., 41, 613–631.
Lins, H. F., and Cohn, T. A. (2011). “Stationarity: Wanted dead or alive?” J. Am. Water Resour. Assoc., 47(3), 475–480.
McCabe, G. J., and Wolock, D. M. (1997). “Climate change and the detection of trends in annual runoff.” Clim. Res., 8(2), 129–134.
Milly, P. C. D., et al. (2008). “Stationarity is dead: Whither water management?” Science, 319(5863), 573–574.
Murphy, P. J. (2001). “Evaluation of mixed-population flood-frequency analysis.” J. Hydrol. Eng., 62–70.
Obeysekera, J., and Park, J. (2013). “Scenario-based projection of extreme sea levels.” J. Coastal Res., 29(1), 1–7.
Olsen, J. R., Lambert, J. H., and Haimes, Y. Y. (1998). “Risk of extreme events under nonstationary conditions.” Risk Anal., 18(4), 497–510.
Salas, J., and Obeysekera, J. (2013). “Revisiting the concepts of return period and risk for nonstationary hydrologic extreme events.” J. Hydrol. Eng., 554–568.
Salas, J. D., Heo, J. H., Lee, D. J., and Burlando, P. (2013). “Quantifying the uncertainty of return period and risk in hydrologic design.” J. Hydrol. Eng., 518–526.
Schuman, J. W. (1931). “Notes on lake levels.” Mon. Wea. Rev., 59(3), 97–105.
Smith, J. A., Baeck, M. L., Villarini, G., and Krajewski, W. F. (2010). “The hydrology and hydrometeorology of flooding in the Delaware River Basin.” J. Hydrometeorol., 11(4), 841–859.
Streiff, A. (1928). “Notes on estimating runoff.” Mon. Weather Rev., 56(3), 98–99.
Sun, X., and Barros, A. P. (2012). “The impact of forcing dataset on the high resolution simulation of Tropical Storm Ivan (2004) in the Southern Appalachians.” Mon. Weather Rev., 140, 3300–3326.
Sveinsson, O. G., Salas, J. D., and Boes, D. C. (2005). “Prediction of extreme events in hydrologic processes that exhibit abrupt shifting patterns.” J. Hydrol. Eng., 315–326.
Tao, J., and Barros, A. P. (2013). “Prospects for flash flood forecasting in mountainous regions—An investigation of Tropical Storm Fay in the Southern Appalachians.” J. Hydrol., 506, 69–89.
Tomasin, A., and Pirazzoli, P. A. (2008). “Extreme sea levels in the English Channel: Calibration of the joint probability method.” J. Coastal Res., 4(4A), 1–13.
Tung, K. K., and Zhou, J. (2013). “Using data to attribute episodes of warming and cooling in instrumental records.” Proc. Nat. Acad. Sci, 110(6), 2058–2063.
U.S. Interagency Advisory Committee on Water Data. (1982). Guidelines for determining flood flow frequency, Bulletin 17-B of the Hydrology Subcommittee, USGS, Office of Water Data Coordination, Reston, VA, 183.
Villarini, G., and Smith, J. A. (2010). “Flood peak distributions for the eastern United States.” Water Resour. Res., 46(6), W06504.
Villarini, G., Smith, J. A., Serinaldi, F., Bales, J., Bates, P. D., and Krajewski, W. F. (2009). “Flood frequency analysis for nonstationary annual peak records in an urban drainage basin.” Adv. Water Resour., 32(8), 1255–1266.
Vogel, R. M., and Wilson, I. (1996). “Probability distribution of annual maximum, mean, and minimum streamflows in the United States.” J. Hydrol. Eng., 69–76.
Vogel, R. M., Yaindl, C., and Walter, M. (2011). “Nonstationarity: Flood magnification and recurrence reduction factors in the United States.” J. Am. Water Resour. Assoc., 47(3), 464–474.
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© 2014 American Society of Civil Engineers.
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Received: Apr 22, 2013
Accepted: Dec 7, 2013
Published online: Dec 10, 2013
Published in print: Oct 1, 2014
Discussion open until: Nov 30, 2014
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