Linkages between hydrological drought, climate indices and human activities: a case study in the Columbia River basin

It is of great importance to investigate links between hydrological drought and climate indices, which helps to further reveal the cause of hydrological drought from a perspective of climate change, thus helping guiding future drought prediction and control. For a case study in the Columbia River basin, the Standardized Streamflow Index (SSI) was employed to characterize hydrological drought. The heuristic segmentation method was applied to identify change points of annual streamflow series spanning 1960-2012 in the Columbia River basin, and the cross-wavelet analysis was utilized to reveal the correlations between monthly climate indices and SSI. The primary results are as following: (1) monthly SSI has a statistically significantly increasing trend in November and December and a noticeably decreasing trend in June and July in the main stream of the basin; (2) generally, hydrological drought risk in this basin is high, and that in the Snake River is higher than the main stream of the Columbia River; (3) El Nino Southern Oscillation (ENSO) and Arctic Oscillation (AO) play a major role in affecting hydrological drought in the Columbia River basin, and ENSO index mainly affects SSI at a relatively short time scale (2-7 years), while AO primarily impacts SSI at a relatively long time scale (more than 10 years); (4) anthropogenic activities intensify hydrological drought in the Columbia River basin, and they primarily influence the linkages between climate indices and hydrological drought at intra-annual scale (less than 12 months), however, which do not change the basic pattern of their correlations.

[1]  E. Wood,et al.  Changes in drought risk over the contiguous United States (1901–2012): The influence of the Pacific and Atlantic Oceans , 2014 .

[2]  Yutong Chen,et al.  Spatio-temporal Changes and Frequency Analysis of Drought in the Wei River Basin, China , 2014, Water Resources Management.

[3]  P. C. Pandey,et al.  Variability in the ENSO‐induced southern hemispheric circulation and Antarctic sea ice extent , 2013 .

[4]  A. Aghakouchak,et al.  Multivariate Standardized Drought Index: A parametric multi-index model , 2013 .

[5]  J. Christensen,et al.  Intensification of extreme European summer precipitation in a warmer climate , 2004 .

[6]  V. Singh,et al.  A review of drought concepts , 2010 .

[7]  Hossein Tabari,et al.  ENSO teleconnection impacts on reference evapotranspiration variability in some warm climates of Iran , 2011 .

[8]  Jianping Huang,et al.  Bivariate wavelet analysis of Asia monsoon and ENSO , 1996 .

[9]  R. Balling,et al.  Trends in extreme daily precipitation indices in India , 2004 .

[10]  R. Modarres Streamflow drought time series forecasting , 2007 .

[11]  N. Rimbu,et al.  Study of meteorological and hydrological drought in southern Romania from observational data , 2004 .

[12]  D. Jay,et al.  Estimation of Columbia River virgin flow: 1879 to 1928 , 2005 .

[13]  J. G. Osorio,et al.  Non-stationary analysis of dry spells in monsoon season of Senegal River Basin using data from Regional Climate Models (RCMs) , 2012 .

[14]  U. Sommer,et al.  Global warming benefits the small in aquatic ecosystems , 2009, Proceedings of the National Academy of Sciences.

[15]  K. Kunkel North American Trends in Extreme Precipitation , 2003 .

[16]  J. Dracup,et al.  REGIONAL FREQUENCY ANALYSIS OF HYDROLOGIC MULTIYEAR DROUGHTS , 1985 .

[17]  G. Bürger,et al.  Climate change scenarios and runoff response in the Mulde catchment (Southern Elbe, Germany) , 2002 .

[18]  Shengzhi Huang,et al.  Copulas-based probabilistic characterization of the combination of dry and wet conditions in the Guanzhong Plain, China , 2014 .

[19]  Christopher Moseley,et al.  Climate model bias correction and the role of timescales , 2010 .

[20]  C. Torrence,et al.  A Practical Guide to Wavelet Analysis. , 1998 .

[21]  K. Mo Interdecadal Modulation of the Impact of ENSO on Precipitation and Temperature over the United States , 2010 .

[22]  R. Heim A Review of Twentieth-Century Drought Indices Used in the United States , 2002 .

[23]  Se-Yeun Lee,et al.  Effects of projected climate change on energy supply and demand in the Pacific Northwest and Washington State , 2010 .

[24]  Aslak Grinsted,et al.  Nonlinear Processes in Geophysics Application of the Cross Wavelet Transform and Wavelet Coherence to Geophysical Time Series , 2022 .

[25]  L. Vasiliades,et al.  A Water Balance Derived Drought Index for Pinios River Basin, Greece , 2011 .

[26]  D. Maraun,et al.  Precipitation downscaling under climate change: Recent developments to bridge the gap between dynamical models and the end user , 2010 .

[27]  A. Ghasemi,et al.  The influence of the Arctic Oscillation on winter temperatures in Iran , 2006 .

[28]  Lihua Xiong,et al.  Effects of the Three Gorges Reservoir on the hydrological droughts at the downstream Yichang station during 2003–2011 , 2013 .

[29]  Julie A. Vano,et al.  Climate change impacts on water management and irrigated agriculture in the Yakima River Basin, Washington, USA , 2010 .

[30]  Kerstin Stahl,et al.  Linking streamflow drought to the occurrence of atmospheric circulation patterns , 1999 .

[31]  S. Vicente‐Serrano El Niño and La Niña influence on droughts at different timescales in the Iberian Peninsula , 2005 .

[32]  A. Lacis,et al.  Application of spectral analysis techniques in the intercomparison of aerosol data. Part II: Using maximum covariance analysis to effectively compare spatiotemporal variability of satellite and AERONET measured aerosol optical depth , 2014 .

[33]  Khaled H. Hamed,et al.  A modified Mann-Kendall trend test for autocorrelated data , 1998 .

[34]  Sergio M. Vicente-Serrano,et al.  Accurate Computation of a Streamflow Drought Index , 2012 .

[35]  H. Tabari,et al.  Hydrological drought in the west of Iran and possible association with large‐scale atmospheric circulation patterns , 2014 .

[36]  Zhongbo Yu,et al.  Changes in daily temperature and precipitation extremes in the Yellow River Basin, China , 2013, Stochastic Environmental Research and Risk Assessment.

[37]  David B. Stephenson,et al.  Calibration Strategies: A Source of Additional Uncertainty in Climate Change Projections , 2012 .

[38]  Elfatih A. B. Eltahir,et al.  The Hydroclimatology of Kuwait: Explaining the Variability of Rainfall at Seasonal and Interannual Time Scales , 2008 .

[39]  K. Takeuchi,et al.  Correlation between El Niño–Southern Oscillation (ENSO) and precipitation in South‐east Asia and the Pacific region , 2004 .

[40]  Guohe Huang,et al.  Development of a Stepwise-Clustered Hydrological Inference Model , 2015 .

[41]  L. Leung,et al.  A Subbasin-based framework to represent land surface processes in an Earth System Model , 2013 .

[42]  Zhongjing Wang,et al.  Hydrograph-Based Hydrologic Alteration Assessment and Its Application to the Yellow River , 2014 .