Citation

Yang Z, Wang Q, Liu P. Int. J. Biometeorol. 2019; 63(1): 29-50.

Affiliation

Department of Aquaculture and Fisheries, University of Arkansas at Pine Bluff, 1200 N. University Drive, Box 4912, Pine Bluff, AR, 71601, USA.

Copyright

(Copyright © 2019, International Society of Biometeorology, Publisher Holtzbrinck Springer Nature Publishing Group)

DOI

10.1007/s00484-018-1635-y

PMID

30411250

Abstract

The frequency, intensity, and duration of extreme temperature events are expected to rise in the future and increase the related health risks of human beings. Using a novel, nationwide dataset that links extreme temperature and mortality, we estimated the short-term and long-term effects of extreme temperature on mortality in China during 2002-2013. Both extreme hot and extreme cold had immediate and long-term effects on all-cause mortality. Annual deaths per 100,000 people due to extreme hot and cold in the long term were considerably larger compared to the short term. The change in cold spell duration indicator exhibited the greatest effects on annual deaths per 100,000 people among a set of extreme weather indicators. Furthermore, cities with low economic development levels were more vulnerable to extreme temperature, compared to cities with high economic development levels. Our results offer important policy implications for developing a regional-specific extreme weather plan to handle extreme temperature events in China.

Language: en

Keywords

China; Climate change; Extreme temperature; Infinite distributed lag model; Mortality