Evidence map›Paper›PMID 36339225›Full record

ArticleFrontiers in public health2022

Urban heat vulnerability: A dynamic assessment using multi-source data in coastal metropolis of Southeast China.

Chaowei Wu, Wei Shui, Zhigang Huang, Chunhui Wang, Yuehui Wu, Yinpan Wu, Chengzhi Xue, Yunhui Huang, Yiyi Zhang, Dongyang Zheng

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Chaowei WuCollege of Environment and Safety Engineering, Fuzhou University, Fuzhou, China.
Wei ShuiCollege of Environment and Safety Engineering, Fuzhou University, Fuzhou, China.
Zhigang HuangFujian Meteorological Bureau, Fuzhou, China.
Chunhui WangFujian Meteorological Service Center, Fujian Meteorological Bureau, Fuzhou, China.
Yuehui WuTaining Meteorological Bureau, Taining, China.
Yinpan WuCollege of Environment and Safety Engineering, Fuzhou University, Fuzhou, China.
Chengzhi XueCollege of Environment and Safety Engineering, Fuzhou University, Fuzhou, China.
Yunhui HuangCollege of Environment and Safety Engineering, Fuzhou University, Fuzhou, China.
Yiyi ZhangDepartment of Geography, McGill University, Montreal, QC, Canada.
Dongyang ZhengFujian Zhitianqi Information Technology Co., Ltd, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extreme heat caused by global climate change has become a serious threat to the sustainable development of urban areas. Scientific assessment of the impacts of extreme heat on urban areas and in-depth knowledge of the cross-scale mechanisms of heat vulnerability forming in urban systems are expected to support policymakers and stakeholders in developing effective policies to mitigate the economic, social, and health risks. Based on the perspective of the human-environment system, this study constructed a conceptual framework and index system of "exposure-susceptibility-adaptive capacity" for urban heat vulnerability (UHV) and proposed its assessment methods. Taking Xiamen City, a coastal metropolis, as an example, spatial analysis and Geodetector were used to explore the spatial and temporal changes, spatial characteristics, and patterns of UHV under multiple external disturbances from natural to anthropological factors, and to reveal the main factors influencing UHV forming and spatial differentiation. Results showed that the exposure, susceptibility, adaptive capacity, and UHV in Xiamen City had a spatial structure of "coastal-offshore-inland". On the hot day, both the exposure and UHV showed a temporal pattern of "rising and then falling, peaking at 14:00" and a spatial pattern of "monsoonal-like" movement between coast and inland. Coastal zoning with favorable socioeconomic conditions had less magnitude of changes in UHV, where the stability of the urban system was more likely to be maintained. During the hot months, the high UHV areas were mainly distributed in the inland, while coastal areas showed low UHV levels. Further, coastal UHV was mainly dominated by "heat exposure", offshore by "comprehensive factors", and inland in the northern mountainous areas by "lack of adaptive capacity". Multi-scale urban adaptive capacity was confirmed to alter spatial distribution of exposure and reshape the spatial pattern of UHV. This study promotes the application of multi-scale vulnerability framework to disaster impact assessment, enriches the scientific knowledge of the urban system vulnerability, and provides scientific references for local targeted cooling policy development and extreme heat resilience building programs.

Indexed as

Climate ChangeHot TemperatureChinaCitiesHumansclimate changedynamic assessmentextreme heathuman-environment systemvulnerabilityXiamen City

Identifiers

PMID36339225
PMCPMC9632749

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.