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HESS | Articles | Volume 22, issue 2
Hydrol. Earth Syst. Sci., 22, 1525–1542, 2018
https://doi.org/10.5194/hess-22-1525-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 22, 1525–1542, 2018
https://doi.org/10.5194/hess-22-1525-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 28 Feb 2018

Research article | 28 Feb 2018

Multiple causes of nonstationarity in the Weihe annual low-flow series

Bin Xiong et al.

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Cited articles

Akaike, H.: A new look at the statistical model identification, IEEE T. Automat. Contr., 19, 716–723, 1974. 
Arora, V. K.: The use of the aridity index to assess climate change effect on annual runoff, J. Hydrol., 265, 164–177, 2002. 
Botter, G., Basso, S., Rodriguez-Iturbe, I., and Rinaldo, A.: Resilience of river flow regimes, P. Natl. Acad. Sci. USA, 110, 12925–12930, 2013. 
Bradford, M. J. and Heinonen, J. S.: Low Flows, Instream Flow Needs and Fish Ecology in Small Streams, Can. Water Resour. J., 33, 165–180, 2008. 
Buuren, S. V. and Fredriks, M.: Worm plot: a simple diagnostic device for modelling growth reference curves, Stat. Med., 20, 1259–1277, 2001. 
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In changing environments, extreme low-flow events are expected to increase. Frequency analysis of low-flow events considering the impacts of changing environments has attracted increasing attention. This study developed a frequency analysis framework by applying 11 indices to trace the main causes of the change in the annual extreme low-flow events of the Weihe River. We showed that the fluctuation in annual low-flow series was affected by climate, streamflow recession and irrigation area.
In changing environments, extreme low-flow events are expected to increase. Frequency analysis...
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