Separation of the impacts of climate change and human activity on runoff variations

Zhao, C; Liu, C; Dai, X; Liu, T; Duan, Z; Liu, L; Mitrovic, SM

Separation of the impacts of climate change and human activity on runoff variations

Zhao, C Liu, C Dai, X Liu, T Duan, Z Liu, L Mitrovic, SM

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Publication Type:: Journal Article
Citation:: Hydrological Sciences Journal, 2015, 60 (2), pp. 234 - 246
Issue Date:: 2015-02-01

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Field	Value	Language
dc.contributor.author	Zhao, C	en_US
dc.contributor.author	Liu, C	en_US
dc.contributor.author	Dai, X	en_US
dc.contributor.author	Liu, T	en_US
dc.contributor.author	Duan, Z	en_US
dc.contributor.author	Liu, L	en_US
dc.contributor.author	Mitrovic, SM https://orcid.org/0000-0002-5528-2215	en_US
dc.date.issued	2015-02-01	en_US
dc.identifier.citation	Hydrological Sciences Journal, 2015, 60 (2), pp. 234 - 246	en_US
dc.identifier.issn	0262-6667	en_US
dc.identifier.uri	http://hdl.handle.net/10453/33955
dc.description.abstract	© 2014, © 2014 IAHS. Abstract: A practical approach to separate the impact of the processes of climate change (CC) and human activities (HA) on streamflow is presented. A non-parametric Mann-Kendall-Sneyers test, combined with moving t test and Yamamoto methods, was used to recognize abrupt change points in the runoff time series to determine a baseline period. A new algorithm to separate CC and HA influence on streamflow was deduced based on the climate elasticity concept. Application to the Chao River, China, shows that CC imposed a positive impact on streamflow in this region (25%, on average), while HA exerted a continuous negative impact of –75% in the period after the 1950s. These results are of great use in understanding the variation of CC and HA impacts under different human development patterns.	en_US
dc.relation.ispartof	Hydrological Sciences Journal	en_US
dc.relation.isbasedon	10.1080/02626667.2013.865029	en_US
dc.subject.classification	Environmental Engineering	en_US
dc.title	Separation of the impacts of climate change and human activity on runoff variations	en_US
dc.type	Journal Article
utslib.citation.volume	2	en_US
utslib.citation.volume	60	en_US
utslib.for	0602 Ecology	en_US
utslib.for	0406 Physical Geography and Environmental Geoscience	en_US
utslib.for	0905 Civil Engineering	en_US
utslib.for	0907 Environmental Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
utslib.copyright.status	closed_access
pubs.issue	2	en_US
pubs.publication-status	Published	en_US
pubs.volume	60	en_US

Abstract:

© 2014, © 2014 IAHS. Abstract: A practical approach to separate the impact of the processes of climate change (CC) and human activities (HA) on streamflow is presented. A non-parametric Mann-Kendall-Sneyers test, combined with moving t test and Yamamoto methods, was used to recognize abrupt change points in the runoff time series to determine a baseline period. A new algorithm to separate CC and HA influence on streamflow was deduced based on the climate elasticity concept. Application to the Chao River, China, shows that CC imposed a positive impact on streamflow in this region (25%, on average), while HA exerted a continuous negative impact of –75% in the period after the 1950s. These results are of great use in understanding the variation of CC and HA impacts under different human development patterns.

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http://hdl.handle.net/10453/33955