Impact of dams on flood occurrence of selected rivers in the United States

Xuefei MEI, P.H.A.J.M. VAN GELDER, Zhijun DAI, Zhenghong TANG

PDF(1475 KB)
PDF(1475 KB)
Front. Earth Sci. ›› 2017, Vol. 11 ›› Issue (2) : 268-282. DOI: 10.1007/s11707-016-0592-1
RESEARCH ARTICLE
RESEARCH ARTICLE

Impact of dams on flood occurrence of selected rivers in the United States

Author information +
History +

Abstract

A significant large number of dams have been constructed in the past two centuries in the United States. These dams’ ability to regulate downstream flooding has received world-wide attention. In this study, data from 38 rivers distributed over the entire conterminous Untied States with extensive pre- and post-dam annual peak discharge records, were collected to research the impacts of various dams on the flood behaviors at a national scale. The results indicate that dams have led to significant reductions in flood magnitude for nearly all of the sites; the decrease rate in the mean of annual peak discharge varies between 7.4% and 95.14%, except for the Dead River, which increased by 1.46%. Because of dams’ effectiveness, the probability density curve of annual peak flow changes from a flat to peaked shape because both the range and magnitude of high discharges are decreased. Moreover, the potential impact of dams on flood characteristics were closely related to the dam’s geographic location and function, the ratio of the storage capacity of the dam to the mean annual runoff of the river (C/R), and the ratio of reservoir storage capacity to the area of its drainage (C/D). Specifically, the effects of dams on annual peak flows were more related to latitude than longitude. Compared with dams built for other purposes, the dam exclusively used for flood management cut off more flood peaks. Increases in the ratios of C/R and C/D increased the degree of modification of annual maximum discharge.

Keywords

flood characteristics / river discharge / dam / flood modification

Cite this article

Download citation ▾
Xuefei MEI, P.H.A.J.M. VAN GELDER, Zhijun DAI, Zhenghong TANG. Impact of dams on flood occurrence of selected rivers in the United States. Front. Earth Sci., 2017, 11(2): 268‒282 https://doi.org/10.1007/s11707-016-0592-1

References

[1]
Ahmed J A, Sarma A K (2005). Genetic algorithm for optimal operating policy of a multipurpose reservoir. Water Resour Manage, 19(2): 145–161
CrossRef Google scholar
[2]
Akaike H (1992). Information theory and an extension of the maximum likelihood principle. In: Kotz S, Johnson NL, eds. Breakthroughs in Statistics, vol 1. London: Springer-Verlag, 610–624
[3]
Alexandersson H, Moberg A (1997). Homogenization of Swedish temperature data, Part I: homogeneity test for linear trends. Int J Climatol, 17(1): 25–34
CrossRef Google scholar
[4]
Ashley S T, Ashley W S (2008). Flood fatalities in the United States. J Appl Meteorol Climatol, 47(3): 805–818
CrossRef Google scholar
[5]
Assani A A, Stichelbout E, Roy A G, Petit F (2006). Comparison of impacts of dams on the annual maximum flow characteristics in three regulated hydrologic regimes in Québec (Canada). Hydrol Processes, 20(16): 3485–3501
CrossRef Google scholar
[6]
Barros M, Tsai F, Yang S L, Lopes J, Yeh W W G (2003). Optimization of large-scale hydropower system operations. J Water Resour Plan Manage, 129(3): 178–188
CrossRef Google scholar
[7]
Batalla R J, Gomez C M, Kondolf G M (2004). Reservoir-induced hydrological changes in the Ebro River basin (NE Spain). J Hydrol (Amst), 290(1-2): 117–136
CrossRef Google scholar
[8]
Benson M A (1968). Uniform flood-frequency estimating methods for federal agencies. Water Resour Res, 4(5): 891–908
CrossRef Google scholar
[9]
Biria H A, Neshaei M A L, Ghabraei A, Mehrdad M A (2015). Investigation of sediment transport pattern and beach morphology in the vicinity of submerged groyne (case study: Dahane Sar Sefidrood). Frontiers of Structural and Civil Engineering, 9(1): 82–90
CrossRef Google scholar
[10]
Bormann H, Pinter N, Elfert S (2011). Hydrological signatures of flood trends on German rivers: flood frequencies, flood heights and specific stages. J Hydrol (Amst), 404(1-2): 50–66
CrossRef Google scholar
[11]
Capparelli V, Franzke C, Vecchio A, Freeman M P, Watkins N W, Carbone V (2013). A spatiotemporal analysis of U.S. station temperature trends over the last century. J Geophys Res, D, Atmospheres, 118(14): 7427–7434
CrossRef Google scholar
[12]
Changnon S A, Kunkel K E (1995). Climate-related fluctuation in Midwestern floods during 1921–1985. J Water Resour Plan Manage, 121(4): 326–334
CrossRef Google scholar
[13]
Chen Z Y, Li J F, Shen H T, Wang Z H (2001). Yangtze River of China: historical analysis of discharge variability and sediment flux. Geomorphology, 41(2-3): 77–91
CrossRef Google scholar
[14]
Dai Z J, Du J Z, Li J F, Li W H, Chen J Y (2008). Runoff characteristics of the Changjiang River during 2006: effect of extreme drought and the impounding of the Three Gorges Dam. Geophys Res Lett, 35(7): L07406
CrossRef Google scholar
[15]
Dai Z J, Liu J T (2013). Impacts of large dams on downstream fluvial sedimentation: an example of the Three Gorges Dam (TGD) on the Changjiang (Yangtze River). J Hydrol (Amst), 480: 10–18
CrossRef Google scholar
[16]
Douglas E M, Vogel R M, Kroll C N (2000). Trends in floods and low flows in the United States: Impact of spatial correlation. J Hydrol (Amst), 240(1-2): 90–105
CrossRef Google scholar
[17]
Frances F, Salas J D, Boes D C (1994). Flood frequency analysis with systematic and historical or paleoflood data based on the two parameter general extreme value models. Water Resour Res, 30(6): 1653–1664
CrossRef Google scholar
[18]
Graf W L (1999). Dam nation: A geographic census of American dams and their large-scale hydrologic impacts. Water Resour Res, 35(4): 1305–1311
CrossRef Google scholar
[19]
Graf W L (2006). Downstream hydrologic and geomorphic effects of large dams on American rivers. Geomorphology, 79(3-4): 336–360
CrossRef Google scholar
[20]
Groisman P Y, Knight R W, Karl T R (2001). Heavy precipitation and high streamflow in the contiguous United States: trends in the 20th century. Bull Am Meteorol Soc, 82(2): 219–246
CrossRef Google scholar
[21]
Groisman P Y, Knight R W, Karl T R (2012). Changes in intense precipitation over the central United States. J Hydrometeorol, 13(1): 47–66
CrossRef Google scholar
[22]
Groisman P Y, Knight R W, Karl T R, Easterling D R, Sun B, Lawrimore J H (2004). Contemporary changes of the hydrological cycle over the contiguous United States: Trends derived from in situ observations. J Hydrometeorol, 5(1): 64–85
CrossRef Google scholar
[23]
Held I M, Soden B J (2006). Robust responses of the hydrological cycle to global warming. J Clim, 19(21): 5686–5699
CrossRef Google scholar
[24]
Hess A, Iyer H, Malm W (2001). Linear trend analysis: a comparison of methods. Atmos Environ, 35(30): 5211–5222
CrossRef Google scholar
[25]
Huang W (2010). Hydrodynamic modeling and eco-hydrological analysis of river inflow effects on apalachicola Bay, Florida, USA. Estuaries, Coastal, and Shell Science, 86(3): 526–534
CrossRef Google scholar
[26]
Janssen E, Wuebbles D J, Kunkel K E, Olsen S C, Goodman A (2014). Observational- and model-based trends and projections of extreme precipitation over the contiguous United States. Earths Futur, 2(2): 99–113
CrossRef Google scholar
[27]
Juckem P F, Hunt R J, Anderson M P, Robertson D M (2008). Effects of climate and land management change on streamflow in the driftless area of Wisconsin. J Hydrol (Amst), 355(1-4): 123–130
CrossRef Google scholar
[28]
Karl T R, Knight R W (1998). Secular trends of precipitation amount, frequency, and intensity in the United States. Bull Am Meteorol Soc, 79(2): 231–241
CrossRef Google scholar
[29]
Kelman J, Stedinger J, Cooper L A, Hsu E, Yuan S Q (1990). Sampling stochastic dynamic programming applied to reservoir operation. Water Resour Res, 26(3): 447–454
CrossRef Google scholar
[30]
Kendall M G (1975). Rank Correlation Methods (4th Edition). London: Charles Griffen, ISBN: 0195205723
[31]
Kileshye Onema J M, Mazvimavi D, Love D, Mul M L (2006). Effects of selected dams on river flows of Insiza River, Zimbabwe. Phys Chem Earth, 31(15-16): 870–875
CrossRef Google scholar
[32]
Kondolf G M (1997). Hungry water: effects of dams and gravel mining on river channels. Environ Manage, 21(4): 533–551
CrossRef Google scholar
[33]
Kunkel K E, Andsager K, Easterling D R (1999). Long-term trends in extreme precipitation events over the conterminous United States and Canada. J Clim, 12(8): 2515–2527
CrossRef Google scholar
[34]
Kunkel K E, Easterling D R, Redmond K, Hubbard K (2003). Temporal variations of extreme precipitation events in the United States: 1895–2000. Geophys Res Lett, 30(17): 1900
[35]
Kunkel K E, Stevens L E, Stevens S E, Sun L Q, Janssen E, Wuebbles D, Dobson J G (2013). Regional Climate Trends and Scenarios for the U.S. National Climate Assessment. Part 9. Climate of the contiguous United States. NOAA Technical Report NESDIS 142-9.
[36]
Leathers D J, Kluck D R, Kroczynski S (1998). The severe flooding event of January 1996 across north-central Pennsylvania. Bull Am Meteorol Soc, 79(5): 785–797
CrossRef Google scholar
[37]
Lins H F, Slack J R (1999). Streamflow trends in the United States. Geophys Res Lett, 26(2): 227–230
CrossRef Google scholar
[38]
Loucks D P, Stedinger J R, Haith D A (1981). Water Resource Systems Planning and Analysis. Englewood Cliffs: Prentice-Hall, Inc.
[39]
Lu Q Q, Lund R, Seymour L (2005). An update of U.S. temperature trends. J Clim, 18(22): 4906–4914
CrossRef Google scholar
[40]
Lund R, Seymour L, Kafadar K (2001). Temperature trends in the United States. Environmetrics, 12(7): 673–690
CrossRef Google scholar
[41]
Magilligan F J, Nislow K H, Graber B E (2003). Scale-independent assessment of discharge reduction and riparian disconnectivity following flow regulation by dams. Geology, 31(7): 569–572
CrossRef Google scholar
[42]
Malamud B D, Turcotte D L (2006). The applicability of power-law frequency statistics to floods. J Hydrol (Amst), 322(1-4): 168–180
CrossRef Google scholar
[43]
Mann H B (1945). Nonparametric test against trend. Econometrica, 13(3): 245–259
CrossRef Google scholar
[44]
Massey F J Jr (1951). The Kolmogorov–Smirnov test for goodness of fit. J Am Stat Assoc, 46(253): 68–78
CrossRef Google scholar
[45]
Mathias Kondolf G, Batalla R J (2005). Hydrological effects of dams and water diversions on rivers of Mediterranean-climate regions: examples from California. Developments in Earth Surface Processes, 7: 197–211
CrossRef Google scholar
[46]
McManamay R A (2014). Quantifying and generalizing hydrologic responses to dam regulation using a statistical modeling approach. J Hydrol (Amst), 519: 1278–1296
CrossRef Google scholar
[47]
Milly P C D, Wetherald R T, Dunne K A, Delworth T L (2002). Increasing risk of great floods in a changing climate. Nature, 415(6871): 514–517
CrossRef Google scholar
[48]
Nilsson C, Reidy C A, Dynesius M, Revenga C (2005). Fragmentation and flow regulation of the world’s large river systems. Science, 308(5720): 405–408
CrossRef Google scholar
[49]
Ouarda T B M J, Ashkar F, Bensaid E, Hourani I (1994). Statistical distributions used in hydrology. Transformations and asymptotic properties, Scientific Report, Department of Mathematics, University of Moncton, 1–31
[50]
Perreault L, Bernier J, Bobée B, Parent E (2000). Bayesian change-point analysis in hydrometeorological time series. Part 2. Comparison of change-point models and forecasting. J Hydrol (Amst), 235(3-4): 242–263
CrossRef Google scholar
[51]
Rao A R, Hamed K H (2000). Flood Frequency Analysis. Boca Raton: CRC Press
[52]
Reeves J, Chen J, Wang X L, Lund R, Lu Q (2007). A review and comparison of change point detection techniques for climate data. J Appl Meteorol Climatol, 46(6): 900–915
CrossRef Google scholar
[53]
Richter B D, Baumgartner J V, Powell J, Braun D P (1996). A method for assessing hydrologic alteration within ecosystems. Conserv Biol, 10(4): 1163–1174
CrossRef Google scholar
[54]
Stedinger J R, Vogel R M, Foufoula-Georgiou E (1993). Frequency analysis of extreme events. In: Maidment D R, ed. Handbook of Hydrology. New York: McGraw Hill
[55]
Van Gelder P H J M, Neykov N M (1998). Regional frequency analysis of extreme water levels along the Dutch coast using L-moments: a preliminary study. Stochastic models of hydrological processes and their applications to problems of environmental preservation, 14–20
[56]
Villarini G, Smith J A, Serinaldi F, Ntelekos A (2011). Analyses of seasonal and annual maximum daily discharge records for central Europe. J Hydrol (Amst), 399(3-4): 299–312
CrossRef Google scholar
[57]
Vogel R M, Wilson I (1996). Probability distribution of annual maximum, mean, and minimum streamflows in the United States. J Hydrol Eng, 1(2): 69–76
CrossRef Google scholar
[58]
Walling D E (2006). Human impact on land–ocean sediment transfer by the world’s rivers. Geomorphology, 79(3-4): 192–216
CrossRef Google scholar
[59]
Wang W, Wang X G, Zhou X (2011). Impacts of Californian dams on flow regime and maximum/minimum flow probability distribution. Hydrology Research, 42(4): 275–289
CrossRef Google scholar
[60]
World Commission on Dams 2000. Dams and Development: A New Framework for Decision Making. London: Earthscan Publications
[61]
Xie Y, Lv X, Liu R, Mao L, Liu X (2015). Research on port ecological suitability evaluation index system and evaluation model. Frontiers of Structural and Civil Engineering, 9(1): 65–70
CrossRef Google scholar
[62]
Zhang Q, Xu C, Becker S, Jiang T (2006). Sediment and runoff changes in the Yangtze River basin during past 50 years. J Hydrol (Amst), 331(3-4): 511–523
CrossRef Google scholar

Acknowledgements

This study was supported by the National Natural Science Foundation of China (Grant No. 41376097). We are grateful to four anonymous reviewers for their constructive comments and suggestions that improved the article.

RIGHTS & PERMISSIONS

2016 Higher Education Press and Springer-Verlag Berlin Heidelberg
AI Summary AI Mindmap
PDF(1475 KB)

Accesses

Citations

Detail

Sections
Recommended

/