globalchange  > 过去全球变化的重建
DOI: 10.1016/j.envint.2019.01.057
WOS记录号: WOS:000467383500057
论文题名:
Exploring the mechanisms of heat wave vulnerability at the urban scale based on the application of big data and artificial societies
作者: He, Cheng1,3,4; Ma, Liang2; Zhou, Liguo1,3; Kan, HaiDong4; Zhang, Yan1,3,4; Ma, WeiChun1,3,4; Chen, Bin2
通讯作者: Ma, WeiChun ; Chen, Bin
刊名: ENVIRONMENT INTERNATIONAL
ISSN: 0160-4120
EISSN: 1873-6750
出版年: 2019
卷: 127, 页码:573-583
语种: 英语
WOS关键词: CLIMATE-CHANGE ; MORTALITY ; TEMPERATURE ; URBANIZATION ; DEATHS ; HEALTH ; DELINEATION ; SHANGHAI ; PATTERNS ; WEATHER
WOS学科分类: Environmental Sciences
WOS研究方向: Environmental Sciences & Ecology
英文摘要:

Rapid urbanisation has altered the vulnerability of urban areas to heat wave disasters. There is an urgent need to identify the factors underlying the effect of heat waves on human health and the areas that are most vulnerable to heat waves. In this study, we plan to integrate indices associated with heat wave vulnerability based on meteorological observation data, remote sensing data and point of interest (POI) data; analyse the influence of urbanisation on the urban vulnerability environment; and explore the relationship between the vulnerability environment and heat-wave-related mortality. Finally, we attempt to map the spatial distribution of high heat-wave-related mortality risk based on the results of heat wave vulnerability study and artificial society. The results reveal that 1) there are differences in the influence of urbanisation on heat wave exposure, sensitivity and adaptability; 2) the exposure and sensitivity level effects on the lower limit of health impacts and the adaptability level effects on the upper limit of the health impact from heat wave in a given study area; and 3) areas vulnerable to the effects of heat waves are not confined to the city centre, which implies that residents living in suburban areas are also vulnerable to heat waves. Finally, this study not only explores the factors contributing to the impacts of heat waves but also describes the spatial distribution of the risk of disaster-associated mortality, thereby providing direct scientific guidance that can be used by cities to address heat wave disasters in the future.


Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/139877
Appears in Collections:过去全球变化的重建

Files in This Item:

There are no files associated with this item.


作者单位: 1.Fudan Univ, Dept Environm Sci & Engn, Shanghai 200082, Peoples R China
2.Natl Univ Def Technol, Coll Syst Engn, Changsha 410073, Hunan, Peoples R China
3.Fudan Univ, Big Data Inst Carbon Emiss & Environm Pollut, Shanghai, Peoples R China
4.SIEC, 3663 Northern Zhongshan Rd, Shanghai 200062, Peoples R China

Recommended Citation:
He, Cheng,Ma, Liang,Zhou, Liguo,et al. Exploring the mechanisms of heat wave vulnerability at the urban scale based on the application of big data and artificial societies[J]. ENVIRONMENT INTERNATIONAL,2019-01-01,127:573-583
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[He, Cheng]'s Articles
[Ma, Liang]'s Articles
[Zhou, Liguo]'s Articles
百度学术
Similar articles in Baidu Scholar
[He, Cheng]'s Articles
[Ma, Liang]'s Articles
[Zhou, Liguo]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[He, Cheng]‘s Articles
[Ma, Liang]‘s Articles
[Zhou, Liguo]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.