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Frontiers of Earth Science

ISSN 2095-0195

ISSN 2095-0209(Online)

CN 11-5982/P

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2018 Impact Factor: 1.205

Front. Earth Sci.    2017, Vol. 11 Issue (2) : 268-282    https://doi.org/10.1007/s11707-016-0592-1
RESEARCH ARTICLE
Impact of dams on flood occurrence of selected rivers in the United States
Xuefei MEI1,2, P.H.A.J.M. VAN GELDER2, Zhijun DAI1, Zhenghong TANG3()
1. State Key Laboratory of Estuarine & Coastal Research, East China Normal University, Shanghai 200062, China
2. Faculty of Technology, Policy and Management, Delft University of Technology, 2628BX Delft, the Netherlands
3. Community and Regional Planning Program, University of Nebraska-Lincoln, Lincoln, NE 68588-0105, USA
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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     
Corresponding Author(s): Zhijun DAI   
Online First Date: 10 October 2016    Issue Date: 19 May 2017
 Cite this article:   
Xuefei MEI,P.H.A.J.M. VAN GELDER,Zhijun DAI, et al. Impact of dams on flood occurrence of selected rivers in the United States[J]. Front. Earth Sci., 2017, 11(2): 268-282.
 URL:  
https://academic.hep.com.cn/fesci/EN/10.1007/s11707-016-0592-1
https://academic.hep.com.cn/fesci/EN/Y2017/V11/I2/268
n102030405060708090100150250
T905.056.106.657.007.257.407.557.707.807.858.058.35
T955.706.957.658.108.458.658.808.959.059.159.359.70
T97.56.257.808.659.259.659.8510.1010.2010.3010.4010.8011.20
  Table A1

Critical levels (T90, T95, and T97.5) of the SNHT test for single shift

1 A Ahmed J, A K Sarma (2005). Genetic algorithm for optimal operating policy of a multipurpose reservoir. Water Resour Manage, 19(2): 145–161
https://doi.org/10.1007/s11269-005-2704-7
2 H Akaike (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 H Alexandersson, A Moberg (1997). Homogenization of Swedish temperature data, Part I: homogeneity test for linear trends. Int J Climatol, 17(1): 25–34
https://doi.org/10.1002/(SICI)1097-0088(199701)17:1<25::AID-JOC103>3.0.CO;2-J
4 S T Ashley, W S Ashley (2008). Flood fatalities in the United States. J Appl Meteorol Climatol, 47(3): 805–818
https://doi.org/10.1175/2007JAMC1611.1
5 A A Assani, E Stichelbout, A G Roy, F Petit (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
https://doi.org/10.1002/hyp.6150
6 M Barros, F Tsai, S L Yang, J Lopes, W W G Yeh (2003). Optimization of large-scale hydropower system operations. J Water Resour Plan Manage, 129(3): 178–188
https://doi.org/10.1061/(ASCE)0733-9496(2003)129:3(178)
7 R J Batalla, C M Gomez, G M Kondolf (2004). Reservoir-induced hydrological changes in the Ebro River basin (NE Spain). J Hydrol (Amst), 290(1-2): 117–136
https://doi.org/10.1016/j.jhydrol.2003.12.002
8 M A Benson (1968). Uniform flood-frequency estimating methods for federal agencies. Water Resour Res, 4(5): 891–908
https://doi.org/10.1029/WR004i005p00891
9 H A Biria, M A L Neshaei, A Ghabraei, M A Mehrdad (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
https://doi.org/10.1007/s11709-014-0275-5
10 H Bormann, N Pinter, S Elfert (2011). Hydrological signatures of flood trends on German rivers: flood frequencies, flood heights and specific stages. J Hydrol (Amst), 404(1-2): 50–66
https://doi.org/10.1016/j.jhydrol.2011.04.019
11 V Capparelli, C Franzke, A Vecchio, M P Freeman, N W Watkins, V Carbone (2013). A spatiotemporal analysis of U.S. station temperature trends over the last century. J Geophys Res, D, Atmospheres, 118(14): 7427–7434
https://doi.org/10.1002/jgrd.50551
12 S A Changnon, K E Kunkel (1995). Climate-related fluctuation in Midwestern floods during 1921–1985. J Water Resour Plan Manage, 121(4): 326–334
https://doi.org/10.1061/(ASCE)0733-9496(1995)121:4(326)
13 Z Y Chen, J F Li, H T Shen, Z H Wang (2001). Yangtze River of China: historical analysis of discharge variability and sediment flux. Geomorphology, 41(2-3): 77–91
https://doi.org/10.1016/S0169-555X(01)00106-4
14 Z J Dai, J Z Du, J F Li, W H Li, J Y Chen (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
https://doi.org/10.1029/2008GL033456
15 Z J Dai, J T Liu (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
https://doi.org/10.1016/j.jhydrol.2012.12.003
16 E M Douglas, R M Vogel, C N Kroll (2000). Trends in floods and low flows in the United States: Impact of spatial correlation. J Hydrol (Amst), 240(1-2): 90–105
https://doi.org/10.1016/S0022-1694(00)00336-X
17 F Frances, J D Salas, D C Boes (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
https://doi.org/10.1029/94WR00154
18 W L Graf (1999). Dam nation: A geographic census of American dams and their large-scale hydrologic impacts. Water Resour Res, 35(4): 1305–1311
https://doi.org/10.1029/1999WR900016
19 W L Graf (2006). Downstream hydrologic and geomorphic effects of large dams on American rivers. Geomorphology, 79(3-4): 336–360
https://doi.org/10.1016/j.geomorph.2006.06.022
20 P Y Groisman, R W Knight, T R Karl (2001). Heavy precipitation and high streamflow in the contiguous United States: trends in the 20th century. Bull Am Meteorol Soc, 82(2): 219–246
https://doi.org/10.1175/1520-0477(2001)082<0219:HPAHSI>2.3.CO;2
21 P Y Groisman, R W Knight, T R Karl (2012). Changes in intense precipitation over the central United States. J Hydrometeorol, 13(1): 47–66
https://doi.org/10.1175/JHM-D-11-039.1
22 P Y Groisman, R W Knight, T R Karl, D R Easterling, B Sun, J H Lawrimore (2004). Contemporary changes of the hydrological cycle over the contiguous United States: Trends derived from in situ observations. J Hydrometeorol, 5(1): 64–85
https://doi.org/10.1175/1525-7541(2004)005<0064:CCOTHC>2.0.CO;2
23 I M Held, B J Soden (2006). Robust responses of the hydrological cycle to global warming. J Clim, 19(21): 5686–5699
https://doi.org/10.1175/JCLI3990.1
24 A Hess, H Iyer, W Malm (2001). Linear trend analysis: a comparison of methods. Atmos Environ, 35(30): 5211–5222
https://doi.org/10.1016/S1352-2310(01)00342-9
25 W Huang (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
https://doi.org/10.1016/j.ecss.2009.07.032
26 E Janssen, D J Wuebbles, K E Kunkel, S C Olsen, A Goodman (2014). Observational- and model-based trends and projections of extreme precipitation over the contiguous United States. Earths Futur, 2(2): 99–113
https://doi.org/10.1002/2013EF000185
27 P F Juckem, R J Hunt, M P Anderson, D M Robertson (2008). Effects of climate and land management change on streamflow in the driftless area of Wisconsin. J Hydrol (Amst), 355(1-4): 123–130
https://doi.org/10.1016/j.jhydrol.2008.03.010
28 T R Karl, R W Knight (1998). Secular trends of precipitation amount, frequency, and intensity in the United States. Bull Am Meteorol Soc, 79(2): 231–241
https://doi.org/10.1175/1520-0477(1998)079<0231:STOPAF>2.0.CO;2
29 J Kelman, J Stedinger, L A Cooper, E Hsu, S Q Yuan (1990). Sampling stochastic dynamic programming applied to reservoir operation. Water Resour Res, 26(3): 447–454
https://doi.org/10.1029/WR026i003p00447
30 M G Kendall (1975). Rank Correlation Methods (4th Edition). London: Charles Griffen, ISBN: 0195205723
31 J M Kileshye Onema, D Mazvimavi, D Love, M L Mul (2006). Effects of selected dams on river flows of Insiza River, Zimbabwe. Phys Chem Earth, 31(15-16): 870–875
https://doi.org/10.1016/j.pce.2006.08.022
32 G M Kondolf (1997). Hungry water: effects of dams and gravel mining on river channels. Environ Manage, 21(4): 533–551
https://doi.org/10.1007/s002679900048
33 K E Kunkel, K Andsager, D R Easterling (1999). Long-term trends in extreme precipitation events over the conterminous United States and Canada. J Clim, 12(8): 2515–2527
https://doi.org/10.1175/1520-0442(1999)012<2515:LTTIEP>2.0.CO;2
34 K E Kunkel, D R Easterling, K Redmond, K Hubbard (2003). Temporal variations of extreme precipitation events in the United States: 1895–2000. Geophys Res Lett, 30(17): 1900
35 K E Kunkel, L E Stevens, S E Stevens, L Q Sun, E Janssen, D Wuebbles, J G Dobson (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 D J Leathers, D R Kluck, S Kroczynski (1998). The severe flooding event of January 1996 across north-central Pennsylvania. Bull Am Meteorol Soc, 79(5): 785–797
https://doi.org/10.1175/1520-0477(1998)079<0785:TSFEOJ>2.0.CO;2
37 H F Lins, J R Slack (1999). Streamflow trends in the United States. Geophys Res Lett, 26(2): 227–230
https://doi.org/10.1029/1998GL900291
38 D P Loucks, J R Stedinger, D A Haith (1981). Water Resource Systems Planning and Analysis. Englewood Cliffs: Prentice-Hall, Inc.
39 Q Q Lu, R Lund, L Seymour (2005). An update of U.S. temperature trends. J Clim, 18(22): 4906–4914
https://doi.org/10.1175/JCLI3557.1
40 R Lund, L Seymour, K Kafadar (2001). Temperature trends in the United States. Environmetrics, 12(7): 673–690
https://doi.org/10.1002/env.468
41 F J Magilligan, K H Nislow, B E Graber (2003). Scale-independent assessment of discharge reduction and riparian disconnectivity following flow regulation by dams. Geology, 31(7): 569–572
https://doi.org/10.1130/0091-7613(2003)031<0569:SAODRA>2.0.CO;2
42 B D Malamud, D L Turcotte (2006). The applicability of power-law frequency statistics to floods. J Hydrol (Amst), 322(1-4): 168–180
https://doi.org/10.1016/j.jhydrol.2005.02.032
43 H B Mann (1945). Nonparametric test against trend. Econometrica, 13(3): 245–259
https://doi.org/10.2307/1907187
44 F J Massey Jr (1951). The Kolmogorov–Smirnov test for goodness of fit. J Am Stat Assoc, 46(253): 68–78
https://doi.org/10.1080/01621459.1951.10500769
45 G Mathias Kondolf, R J Batalla (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
https://doi.org/10.1016/S0928-2025(05)80017-3
46 R A McManamay (2014). Quantifying and generalizing hydrologic responses to dam regulation using a statistical modeling approach. J Hydrol (Amst), 519: 1278–1296
https://doi.org/10.1016/j.jhydrol.2014.08.053
47 P C D Milly, R T Wetherald, K A Dunne, T L Delworth (2002). Increasing risk of great floods in a changing climate. Nature, 415(6871): 514–517
https://doi.org/10.1038/415514a
48 C Nilsson, C A Reidy, M Dynesius, C Revenga (2005). Fragmentation and flow regulation of the world’s large river systems. Science, 308(5720): 405–408
https://doi.org/10.1126/science.1107887
49 T B M J Ouarda, F Ashkar, E Bensaid, I Hourani (1994). Statistical distributions used in hydrology. Transformations and asymptotic properties, Scientific Report, Department of Mathematics, University of Moncton, 1–31
50 L Perreault, J Bernier, B Bobée, E Parent (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
https://doi.org/10.1016/S0022-1694(00)00271-7
51 A R Rao, K H Hamed (2000). Flood Frequency Analysis. Boca Raton: CRC Press
52 J Reeves, J Chen, X L Wang, R Lund, Q Lu (2007). A review and comparison of change point detection techniques for climate data. J Appl Meteorol Climatol, 46(6): 900–915
https://doi.org/10.1175/JAM2493.1
53 B D Richter, J V Baumgartner, J Powell, D P Braun (1996). A method for assessing hydrologic alteration within ecosystems. Conserv Biol, 10(4): 1163–1174
https://doi.org/10.1046/j.1523-1739.1996.10041163.x
54 J R Stedinger, R M Vogel, E Foufoula-Georgiou (1993). Frequency analysis of extreme events. In: Maidment D R, ed. Handbook of Hydrology. New York: McGraw Hill
55 P H J M Van Gelder, N M Neykov (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 G Villarini, J A Smith, F Serinaldi, A Ntelekos (2011). Analyses of seasonal and annual maximum daily discharge records for central Europe. J Hydrol (Amst), 399(3-4): 299–312
https://doi.org/10.1016/j.jhydrol.2011.01.007
57 R M Vogel, I Wilson (1996). Probability distribution of annual maximum, mean, and minimum streamflows in the United States. J Hydrol Eng, 1(2): 69–76
https://doi.org/10.1061/(ASCE)1084-0699(1996)1:2(69)
58 D E Walling (2006). Human impact on land–ocean sediment transfer by the world’s rivers. Geomorphology, 79(3-4): 192–216
https://doi.org/10.1016/j.geomorph.2006.06.019
59 W Wang, X G Wang, X Zhou (2011). Impacts of Californian dams on flow regime and maximum/minimum flow probability distribution. Hydrology Research, 42(4): 275–289
https://doi.org/10.2166/nh.2011.137
60 World Commission on Dams 2000. Dams and Development: A New Framework for Decision Making. London: Earthscan Publications
61 Y Xie, X Lv, R Liu, L Mao, X Liu (2015). Research on port ecological suitability evaluation index system and evaluation model. Frontiers of Structural and Civil Engineering, 9(1): 65–70
https://doi.org/10.1007/s11709-014-0258-6
62 Q Zhang, C Xu, S Becker, T Jiang (2006). Sediment and runoff changes in the Yangtze River basin during past 50 years. J Hydrol (Amst), 331(3-4): 511–523
https://doi.org/10.1016/j.jhydrol.2006.05.036
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