Multifaceted characteristics of summer heat and affected population across China under climate change
文献类型:期刊论文
作者 | Feng, Yao1; Liu, Wenbin1; Wang, Hong1; Liu, Fa1; Sun, Fubao1,2,3,4 |
刊名 | CLIMATE DYNAMICS |
出版日期 | 2023-01-17 |
页码 | 15 |
ISSN号 | 0930-7575 |
关键词 | Heat index Heat stress Heat events Affected population China |
DOI | 10.1007/s00382-023-06671-4 |
通讯作者 | Liu, Wenbin(liuwb@igsnrr.ac.cn) ; Wang, Hong(wanghong@igsnrr.ac.cn) |
英文摘要 | Excessive heat can cause discomfort, stress even mortality to humans. We investigate the multifaceted characteristics of summer heat and the affected population across China using a composite heat index (HI) based on meteorological observations and the Coupled Model Intercomparison Project Phase 6 climate models. We highlight that HI is only applicable when maximum air temperature is above 26.7 celcius. From 1961 to 2014, China has experienced increasing heat days (1.05 day/10a) and severity (0.15 celcius/10a) with more population influenced by expanding heat extent. Simultaneously, increases in the frequency (7.58-14.80 times), duration (0.46-1.23 days) and intensity (1.00-1.42 celcius/day) of heat events are detected with increased population exposure (9.33 x 10(5)-5.59 x 10(6) times center dot persons). In the future, increases in heat severity, spatial extent, and the affected population would be aggravated from 1.5 to 2 to 3 celcius warming. Dangerous heat events would experience increases in frequency (12.67-70.81 times), duration (0.85-7.21 days), intensity (1.78-8.57 celcius/day), and population exposure (2.06 x 10(6)-3.18 x 10(7) times center dot persons) under a warming climate. Some regions over the Tibetan Plateau and southwest China would be affected by expanding cautionary and extremely cautionary heat. Northwest China would experience intensified dangerous heat events whereas southeastern China would face longer-lasting heat events with stronger intensity. Precautionary strategies are essential for these regions under risk. |
WOS关键词 | HIGH-TEMPERATURE EXTREMES ; STATISTICAL DOWNSCALING MODELS ; HOT EXTREMES ; IMPACTS ; PROJECTION ; HEATWAVES ; RAINFALL ; DROUGHTS ; STRESS ; TRENDS |
资助项目 | National Natural Science Foundation of China[42025104] ; National Natural Science Foundation of China[42022005] ; National Natural Science Foundation of China[42001015] ; National Research and Development Program of China[2019YFA0606903] ; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences[2020RC004] ; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences[2021RC002] ; China Postdoctoral Science Foundation[2020M670432] ; China Postdoctoral Science Foundation[2021T140657] ; Top-Notch Young Talents Program of China |
WOS研究方向 | Meteorology & Atmospheric Sciences |
语种 | 英语 |
出版者 | SPRINGER |
WOS记录号 | WOS:000914725200001 |
资助机构 | National Natural Science Foundation of China ; National Research and Development Program of China ; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences ; China Postdoctoral Science Foundation ; Top-Notch Young Talents Program of China |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/189472] |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Liu, Wenbin; Wang, Hong |
作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China 2.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Urumqi, Peoples R China 3.Akesu Natl Stn Observat & Res Oasis Agroecosyst, Akesu, Peoples R China 4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Feng, Yao,Liu, Wenbin,Wang, Hong,et al. Multifaceted characteristics of summer heat and affected population across China under climate change[J]. CLIMATE DYNAMICS,2023:15. |
APA | Feng, Yao,Liu, Wenbin,Wang, Hong,Liu, Fa,&Sun, Fubao.(2023).Multifaceted characteristics of summer heat and affected population across China under climate change.CLIMATE DYNAMICS,15. |
MLA | Feng, Yao,et al."Multifaceted characteristics of summer heat and affected population across China under climate change".CLIMATE DYNAMICS (2023):15. |
入库方式: OAI收割
来源:地理科学与资源研究所
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