Anthropogenic emissions and urbanization increase risk of compound hot extremes in cities

被引:274
作者
Wang, Jun [1 ]
Chen, Yang [2 ]
Liao, Weilin [3 ]
He, Guanhao [4 ]
Tett, Simon F. B. [5 ]
Yan, Zhongwei [1 ,6 ]
Zhai, Panmao [2 ]
Feng, Jinming [1 ]
Ma, Wenjun [7 ]
Huang, Cunrui [8 ]
Hu, Yamin [9 ]
机构
[1] Chinese Acad Sci, Inst Atmospher Phys, Key Lab Reg Climate Environm Temperate East Asia, Beijing, Peoples R China
[2] Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R China
[3] Sun Yat Sen Univ, Sch Geog & Planning, Guangzhou, Peoples R China
[4] Guangdong Prov Inst Publ Hlth, Guangdong Prov Ctr Dis Control & Prevent, Guangzhou, Peoples R China
[5] Univ Edinburgh, Sch GeoSci, Edinburgh, Midlothian, Scotland
[6] Univ Chinese Acad Sci, Beijing, Peoples R China
[7] Jinan Univ, Sch Med, Guangzhou, Peoples R China
[8] Tsinghua Univ, Vanke Sch Publ Hlth, Beijing, Peoples R China
[9] Guangdong Climate Ctr, Guangzhou, Peoples R China
关键词
URBAN HEAT-ISLAND; CLIMATE-CHANGE; ATMOSPHERIC CIRCULATION; PART I; CHINA; IMPACT; MORTALITY; PATTERNS; TEMPERATURES; REGRESSION;
D O I
10.1038/s41558-021-01196-2
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Heat extremes threaten the health of urban residents with particularly strong impacts from day-night sustained heat. Observation and simulation data across eastern China show increasing risks of compound events attributed to anthropogenic emissions and urbanization. Urban areas are experiencing strongly increasing hot temperature extremes. However, these urban heat events have seldom been the focus of traditional detection and attribution analysis designed for regional to global changes. Here we show that compound (day-night sustained) hot extremes are more dangerous than solely daytime or nighttime heat, especially to female and older urban residents. Urban compound hot extremes across eastern China have increased by 1.76 days per decade from 1961 to 2014 with fingerprints of urban expansion and anthropogenic emissions detected by a stepwise detection and attribution method. Their attributable fractions are estimated as 0.51 (urbanization), 1.63 (greenhouse gases) and -0.54 (other anthropogenic forcings) days per decade. Future emissions and urbanization would make these compound events two to five times more frequent (2090s versus 2010s), leading to a threefold-to-sixfold growth in urban population exposure. Our findings call for tailored adaptation planning against rapidly growing health threats from compound heat in cities.
引用
收藏
页码:1084 / +
页数:9
相关论文
共 59 条
[51]   Incorrect Asian aerosols affecting the attribution and projection of regional climate change in CMIP6 models [J].
Wang, Zhili ;
Lin, Lei ;
Xu, Yangyang ;
Che, Huizheng ;
Zhang, Xiaoye ;
Zhang, Hua ;
Dong, Wenjie ;
Wang, Chense ;
Gui, Ke ;
Xie, Bing .
NPJ CLIMATE AND ATMOSPHERIC SCIENCE, 2021, 4 (01)
[52]   Simulating the Impacts of Irrigation and Dynamic Vegetation Over the North China Plain on Regional Climate [J].
Wu, Liyang ;
Feng, Jinming ;
Miao, Wenhui .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2018, 123 (15) :8017-8034
[53]   Homogenization of Chinese daily surface air temperatures and analysis of trends in the extreme temperature indices [J].
Xu, Wenhui ;
Li, Qingxiang ;
Wang, Xiaolan L. ;
Yang, Su ;
Cao, Lijuan ;
Feng, Yang .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2013, 118 (17) :9708-9720
[54]   Declining diurnal temperature range in the North China Plain related to environmental changes [J].
Xue, Weitao ;
Guo, Jianping ;
Zhang, Yong ;
Zhou, Shunwu ;
Wang, Yuan ;
Miao, Yucong ;
Liu, Lin ;
Xu, Hui ;
Li, Jian ;
Chen, Dandan ;
Liu, Huan .
CLIMATE DYNAMICS, 2019, 52 (9-10) :6109-6119
[55]   Re-Assessing Climatic Warming in China since 1900 [J].
Yan, Zhongwei ;
Ding, Yihui ;
Zhai, Panmao ;
Song, Lianchun ;
Cao, Lijuan ;
Li, Zhen .
JOURNAL OF METEOROLOGICAL RESEARCH, 2020, 34 (02) :243-251
[56]   Projecting heat-related excess mortality under climate change scenarios in China [J].
Yang, Jun ;
Zhou, Maigeng ;
Ren, Zhoupeng ;
Li, Mengmeng ;
Wang, Boguang ;
Liu, De Li ;
Ou, Chun-Quan ;
Yin, Peng ;
Sun, Jimin ;
Tong, Shilu ;
Wang, Hao ;
Zhang, Chunlin ;
Wang, Jinfeng ;
Guo, Yuming ;
Liu, Qiyong .
NATURE COMMUNICATIONS, 2021, 12 (01)
[57]  
Ye XF, 2012, ENVIRON HEALTH PERSP, V120, P19, DOI [10.1289/ehp.1003198, 10.1289/ehp.120-a19]
[58]   Comparison of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effects in Landsat imagery [J].
Yuan, Fei ;
Bauer, Marvin E. .
REMOTE SENSING OF ENVIRONMENT, 2007, 106 (03) :375-386
[59]   Spatiotemporal trends of urban heat island effect along the urban development intensity gradient in China [J].
Zhou, Decheng ;
Zhang, Liangxia ;
Hao, Lu ;
Sun, Ge ;
Liu, Yongqiang ;
Zhu, Chao .
SCIENCE OF THE TOTAL ENVIRONMENT, 2016, 544 :617-626