Abstract
Trends in baseflows based on observed daily streamflow data are evaluated in this study at several sites in the least anthropogenically affected watersheds in the USA. Trends were determined for annual maximum, annual mean, and annual median baseflow. Baseflow values derived at 574 stations in the USA for the 44 years from 1970 through 2013 are analyzed using two nonparametric trend tests (Spearman’s rho (SR) test and Mann-Kendall (MK)). Results from the trend tests are compiled for 18 major regions to understand the spatial variability of changes in baseflows across the USA. Results from SR tests indicate that almost half of the stations show statistically significant trends in annual maximum baseflows. Trends in annual median baseflows show that 32.06% of the gauging stations have downward trends, and a total of 56.45% of sites show significant trends for annual mean baseflows. The Souris-Red-Rainy, Missouri, and California watershed regions have a larger number of sites with higher upward trends compared with those from other regions in the USA. The results from the SR test indicate that 262 sites have statistically significant trends in annual maximum baseflow compared with the 254 sites with similar trends noted from the MK test. Based on limited data, it can be concluded that baseflow and precipitation values accumulated for the same month are correlated in some regions. In general, the number of sites with decreasing trends for annual maximum, mean, and median baseflows is larger than the number of sites with increasing trends. Decreasing trends in baseflows are cause for concern and have serious implications on future planning for low flow management strategies for several streams in the USA.
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References
Adeloye AJ, Montaseri M (2002) Preliminary streamflow data analyses prior to water resources planning study. Hydrolog Sic J 47(5):679–692. https://doi.org/10.1080/02626660209492973
Ahmad I, Tang D, Wang T, Wang M, Wagan B (2015) Precipitation trends over time using Mann–Kendall and spearman’s rho tests in swat river basin, Pakistan. Adv Meteorol 2015:431860–431815. https://doi.org/10.1155/2015/431860
Bastola S, Seong Y, Lee D, Youn I, Oh S, Jung Y, Choi G, Jang D (2018) Contribution of baseflow to river streamflow: study on Nepal’s Bagmati and Koshi basins. KSCE J Civ Eng 22(11):4710–4718. https://doi.org/10.1155/2015/431860
Bawden AJ, Linton HC, Burn DH, Prowse TD (2014) A spatiotemporal analysis of hydrological trends and variability in the Athabasca River Region, Canada. J Hydrol 509:333–342. https://doi.org/10.1016/j.jhydrol.2013.11.051
Brandes D, Cavallo GJ, Nilson ML (2005) Base flow trends in urbanizing watersheds of the Delaware river basin 1. J Am Water Resour As 41(6):1377–1391. https://doi.org/10.1111/j.1752-1688.2005.tb03806.x
Burn DH (2008) Climatic influences on streamflow timing in the headwaters of the Mackenzie River Basin. J Hydrol 352:225–238. https://doi.org/10.1016/j.jhydrol.2008.01.019
Chen Y, Guan Y, Shao G, Zhang D (2016) Investigating trends in streamflow and precipitation in Huangfuchuan Basin with wavelet analysis and the Mann-Kendall test. Water 8(3):77. https://doi.org/10.3390/w8030077
Cohen J (1988) Statistical power analysis for the behavioral sciences (2nd ed). Erlbaum, Hillsdale, NJ
Conger DH (1978) Method for determining baseflow adjustments to synthesized peaks produced from the US Geological Survey rainfall-runoff model. Hydrolog Sic J 23(4):401–408. https://doi.org/10.1080/02626667809491819
Corder GW, Foreman DI (2014) Nonparametric statistics: a step-by-step approach. Johan Wiley & Sons, Hoboken, pp 139–171
Cubasch U, Meehl GA, Boer GJ, Stouffer RJ, Dix M, Noda A, Senior CA, Raper S, Yap KS (2001) In: Ding Y, Griggs DJ, Noguer M, Van der Linden PJ, Dai X, Maskell K, Johnson CA (eds) Projections of future climate change, In: Climate Change 2001: The Scientific Basis. Contribution of Working Group I to the Third Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, New York, pp 526–582
Dai ZJ, Chu A, Du JZ, Stive M, Hong Y (2010) Assessment of extreme drought and human interference on baseflow of the Yangtze River. Hydrol Process 24(6):749–757. https://doi.org/10.1002/hyp.7505
Eckhardt K (2008) A comparison of baseflow indices, which were calculated with seven different baseflow separation methods. J Hydrol 352(1-2):168–173. https://doi.org/10.1016/j.jhydrol.2008.01.005
Esralew RA, Lewis JM (2010) Trends in base flow, total flow, and base-flow index of selected streams in and near Oklahoma through 2008. U S Geol Surv Sci Invest Rep 2010–5104:143
Ficklin DL, Robeson SM, Knouft JH (2016) Impacts of recent climate change on trends in baseflow and stormflow in United States watersheds. Geophys Res Lett 43(10):5079–5088. https://doi.org/10.1002/2016gl069121
Gustard A, Roald LA, Demuth S, Lumadjeng HS, Gross R (1989) Flow regimes from experimental and network data (FREND). In: Volume II: hydrological data. IAHS Press, New York
Hall FR (1968) Base-flow recessions – a review. Water Resour Res 4(4):973–983. https://doi.org/10.1029/wr004i005p00973
Hamed KH, Rao AR (1998) A modified Mann-Kendall trend test for autocorrelated data. J Hydrol 204:182–196. https://doi.org/10.1016/S0022-1694(97)00125-X
Helsel DR, Hirsch RM (1992) Statistical methods in water resources. Elsevier, Amsterdam, p 522
Hodgkins GA, Dudley RW (2011) Historical summer base flow and stormflow trends for New England rivers. Water Resour Res 47(7). https://doi.org/10.1029/2010WR009109
Hughes DA, Hannart P, Watkins D (2004) Continuous baseflow separation from time series of daily and monthly streamflow data. Water SA 29(1):43–48. https://doi.org/10.4314/wsa.v29i1.4945
Institute of Hydrology (1980) Low flow studies. Reports, Institute of Hydrology
Jung Y, Shin Y, Won NI, Lim K (2016) Web-Based BFlow system for the assessment of streamflow characteristics at national level. Water 8(9):384. https://doi.org/10.3390/w8090384
Kamnitui N, Genest C, Jaworski P, Trutschnig W (2019) On the size of the class of bivariate extreme-value copulas with a fixed value of Spearman’s rho or Kendall’s tau. J Math Anal Appl 472(1):920–936. https://doi.org/10.1016/j.jmaa.2018.11.057
Kisi Ö, Santos CAG, Silva RM, Zounemat-Kermani M (2018) Trend analysis of monthly streamflows using Şen’s innovative trend method. Geofizika 35(1):53–68. https://doi.org/10.15233/gfz.2018.35.3
Lins HF, Slack JR (2005) Seasonal and regional characteristics of US streamflow trends in the United States from 1940 to 1999. Phys Geogr 46:489–501. https://doi.org/10.2747/0272-3646.26.6.489
Linsley RK (1982) Rainfall-runoff models-an overview. In: Proceedings of the international symposium on rainfall-runoff modelling, edited by: Singh, VP. Water Resources Publications, Littleton, CO, pp 3–22
Linsley RK (1958) Correlation of rainfall intensity and topography in northern California. EOS Trans Am Geophys Union 39(5):970–972. https://doi.org/10.1029/tr039i001p00015
Mann HB (1945) Nonparametric tests against trend. Ecta 13:245–259. https://doi.org/10.2307/1907187
McCabe GJ, Wolock DM (2002) A step increase in streamflow in the conterminous United States. Geophys Res Lett 29(24):2185–38-4. https://doi.org/10.1029/2002GL015999
McGhee JW (1985) Introductory statistics. West Publishing Co, New York
Meshram SG, Singh VP, Meshram C (2017) Long-term trend and variability of precipitation in Chhattisgarh State, India. Theor Appl Climatol 129(3-4):729–744. https://doi.org/10.1007/s00704-016-1804-z
Meyer SC (2005) Analysis of base flow trends in urban streams, northeastern Illinois, USA. Hydrogeol J 13(5–6):871–885. https://doi.org/10.1007/s10040-004-0383-8
Miao C, Ni J (2009) Variation of natural streamflow since 1470 in the Middle Yellow River, China. Int J Environ Res Public Health 6:2849–2864. https://doi.org/10.3390/ijerph6112849
Milly PCD, Wetherald RT, Delworth TL, Dunne KA (2002) Increasing risk of great floods in a changing climate. Nature 415:514–517. https://doi.org/10.1038/415514a
Mwakalila S, Feyen J, Wyseurew G (2002) The influence of physical catchment properties on baseflow in semi-arid environments. J Arid Environ 52(2):245–258. https://doi.org/10.1006/jare.2001.0947
Nathan RJ, McMahon TA (1990) Evaluation of automated techniques for base flow and recession analyses. Water Resour Res 26:1465–1473. https://doi.org/10.1029/WR026i007p01465
Parzen E (1962) On estimation of a probability density function and mode. Ann Math Stat 33(3):1067–1076. https://doi.org/10.1214/aoms/1177704472
Pettyjohn WA, Henning R (1979) Preliminary estimate of ground-water recharge rates, related streamflow and water quality in Ohio: Ohio State University Water Resources Center Project Completion Report Number 552, pp 323
Rahman MA, Yunsheng L, Sultana N (2017) Analysis and prediction of rainfall trends over Bangladesh using Mann–Kendall, Spearman’s rho tests and ARIMA model. Meteorog Atmos Phys 129(4):409–424. https://doi.org/10.1007/s00703-016-0479-4
Reay WG, Gallagher DL, Simmons JGM (1992) Groundwater discharge and its impact on surface water quality in a Chesapeake Bay inlet. J Am Water Resour As 28(6):1121–1134. https://doi.org/10.1111/j.1752-1688.1992.tb04023.x
Rumsey CA, Miller MP, Susong DD, Tillman FD, Anning DW (2015) Regional scale estimates of baseflow and factors influencing baseflow in the Upper Colorado River Basin. J Hydrol Reg Stud 4:91–107. https://doi.org/10.1016/j.ejrh.2015.04.008
Sagarika S, Kalra A, Ahmad S (2014) Evaluating the effect of persistence on long-term trends and analyzing step changes in streamflows of the continental United States. J Hydrol 517:36–53. https://doi.org/10.1016/j.jhydrol.2014.05.002
Santhi C, Allen MP, Muttiah RS, Arnold JG, Tuppad P (2008) Regional estimation of base flow for the conterminous United States by hydrologic landscape regions. J Hydrol 351(1–2):139–153. https://doi.org/10.1016/j.jhydrol.2007.12.018
Seaber PR, Kapinos FP, Knapp GL (1987) Hydrologic unit paps. USGeol Surv Water Supply Paper 2294. U S Geol Surv, New York, p 63
Shadmani M, Marofi S, Roknian M (2012) Trend analysis in reference evapotranspiration using Mann-Kendall and Spearman’s rho tests in arid regions of Iran. Water Resour Manag 26(1):211–224. https://doi.org/10.1007/s11269-011-9913-z
Shirmohammadi A, Knisel WG, Sheridan JM (1984) An approximate method for partitioning daily streamflow data. J Hydrol 74:3–354. https://doi.org/10.1016/0022-1694(84)90023-4
Slack JR, Michaels JM (1992) Hydro-climate data network: a U. S. Geological Survey streamflow data set for the United States for the study of climate variation, 1874-1988. U S Geol Surv Open-File Rept, pp 92-129
Sloto RA, Crouse MY (1996) HYSEP: a computer program for streamflow hydrograph separation and analysis. US Geolog Surv Water-Res Investig Rep 96-4040:46
Smakhtin VY (2001) Estimating continuous monthly baseflow time series and their possible applications in the context of the ecological reserve. Water SA 27(2):213–218. https://doi.org/10.4314/wsa.v27i2.4995
Sophocleus M (2002) Interactions between groundwater and surface water: the state of the science. Hydrogeol J 10:52–67. https://doi.org/10.1007/s10040-002-0204-x
Stadnyk TA, Gibson JJ, Longstaffe FJ (2014) Basin-scale assessment of operational base flow separation methods. J Hydrol Eng 20(5):04014074. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001089
Stahl K, Hisdal H, Hannaford (2010) Streamflow trends in Europe: evidence from a dataset of near-natural catchments. Hydrol Earth Syst Sci 14:2367–2382. https://doi.org/10.5194/hess-14-2367-2010
Stewart M, Cimino J, Ross M (2007) Calibration of base flow separation methods with streamflow conductivity. Groundwater 45(1):17–27. https://doi.org/10.1111/j.1745-6584.2006.00263.x
Tallaksen LM (1995) A review of base flow recession analysis. J Hydrol 165:349–370. https://doi.org/10.1016/0022-1694(94)02540-R
Teegavarapu RSV (2012) Floods in a changing climate: extreme precipitation, pp 131–134
Teegavarapu RSV (2018) Trends and changes in hydroclimatic variables: links to climate variability. pp 26-29
Teegavarapu RSV, Goly A, Obeysekara J (2013) Influences of Atlantic multi-decadal oscillation on regional precipitation extremes. J Hydrol 495:74–93. https://doi.org/10.1016/j.jhydrol.2013.05.003
Tosic I, Hrnjak I, Gavrilov MB, Unkasevic M, Markovic SB, Lukic T (2014) Annual and seasonal variability of precipitation in Vojvodina, Serbia. Theor Appl Climatol 117(1-2):331–341. https://doi.org/10.1007/s00704-013-1007-9
Tuomisto HL, Hodge ID, Riordan P, Macdonald DW (2012) Does organic farming reduce environmental impacts?–A meta-analysis of European research. J Environ Manag 112:309–320. https://doi.org/10.1016/j.jenvman.2012.08.018
Wang W, Chen Y, Becker S, Liu B (2015) Linear trend detection in serially dependent hydrometeorological data based on a variance correction Spearman rho method. Water 7(12):7045–7065. https://doi.org/10.3390/w7126673
Xu CY, Singh VP (2004) Review on regional water resources assessment models under stationary and changing climate. Water Resour Manag 18:591–612. https://doi.org/10.1007/s11269-004-9130-0
Zar JH (1972) Significance testing of Spearman rank correlation coefficient. J Am Stat Assoc 67:578–580. https://doi.org/10.1080/01621459.1972.10481251
Zheng A, Wang W, Duan L, Jia J, Zheng X, Duan P (2011) Yang F (2011) The trend of base flow in Wei River Basin based on R/S and Mann-Kendall method. Int Sympos Water Res Environ Prot 2:987–989
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The authors thank the USGeological Survey (USGS) for providing, via their website, the daily streamflow data that were used in the analysis reported in this study.
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Hao Chen: conceptualization, methodology, software, formal analysis, writing of the original draft. Ramesh S.V. Teegavarapu: supervision, writing review and editing.
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Chen, H., Teegavarapu, R.S.V. Spatial and temporal variabilities in baseflow characteristics across the continental USA. Theor Appl Climatol 143, 1615–1629 (2021). https://doi.org/10.1007/s00704-020-03481-0
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DOI: https://doi.org/10.1007/s00704-020-03481-0