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石家庄市居民社区热健康风险评估及重点控制区域识别

Heat health risk assessment and identification of priority control areas in residential communities of Shijiazhuang.

作者信息

Song Shikai, Shang Yanrui, Wang Leibin, Liu Qiang, Zhao Yuanjie

机构信息

Postdoctoral Research Station of Geography, Hebei Normal University, Shijiazhuang, China.

School of Geographical Sciences, Hebei Normal University, Shijiazhuang, China.

出版信息

Front Public Health. 2025 Jul 16;13:1624477. doi: 10.3389/fpubh.2025.1624477. eCollection 2025.

DOI:10.3389/fpubh.2025.1624477
PMID:40740388
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12307359/
Abstract

INTRODUCTION

Under global warming, urban dwellers have been at significant health risk due to urban heat islands and frequent extreme heat events in recent years. Most previous assessments of heat health risk focused on the regional scale. Therefore, we aim to evaluate the fine level heat health risk of Shijiazhuang, China.

METHODS

Residential community was as choose as basic evaluation unit. The heat health risks of 1,086 residential communities in the main urban area of Shijiazhuang were assessed by the risk framework of the IPCC, in which the risk was multiplicatively aggregated by hazard, exposure, and vulnerability.

RESULTS

In 2023, the hazard followed a center-periphery pattern with decreasing value from the city center to the periphery, whereas vulnerability presented the opposite trend. This pattern aligned with the finding that hazard-dominant risk residential communities were generally distributed close to the center and the vulnerability-dominant risk appeared primarily near the periphery. Five villages some distance from the city center were evaluated to present very high risk, with vulnerability as the dominant risk factor. Two of the five villages were identified as priority control communities, and increasing the percentage of water bodies and vegetation was the most practical way to lower the heat health risk.

DISCUSSION

The differences in population exposure indicator may greatly affects the stability of heat risk mapping output. The results can assist urban managers in gathering comprehensive information about the heat health risk and developing effective mitigation strategies.

摘要

引言

在全球变暖的背景下,近年来城市居民因城市热岛效应和频繁的极端高温事件而面临重大健康风险。以往大多数对热健康风险的评估都集中在区域尺度上。因此,我们旨在评估中国石家庄市的精细尺度热健康风险。

方法

选择居住社区作为基本评估单元。采用政府间气候变化专门委员会(IPCC)的风险框架对石家庄市主城区1086个居住社区的热健康风险进行评估,其中风险由危害、暴露和脆弱性相乘汇总得出。

结果

2023年,危害呈现出中心-外围模式,从市中心向周边递减,而脆弱性则呈现相反趋势。这种模式与以下发现一致,即危害主导型风险居住社区通常分布在市中心附近,而脆弱性主导型风险主要出现在周边地区。距离市中心有一段距离的五个村庄被评估为呈现出非常高的风险,脆弱性是主要风险因素。这五个村庄中的两个被确定为优先控制社区,增加水体和植被的比例是降低热健康风险最切实可行的方法。

讨论

人口暴露指标的差异可能会极大地影响热风险映射输出的稳定性。研究结果可以帮助城市管理者收集有关热健康风险的全面信息,并制定有效的缓解策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec96/12307359/3fa439c7959f/fpubh-13-1624477-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec96/12307359/47d0a5e57267/fpubh-13-1624477-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec96/12307359/12d953e7ee3b/fpubh-13-1624477-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec96/12307359/3fa439c7959f/fpubh-13-1624477-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec96/12307359/47d0a5e57267/fpubh-13-1624477-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec96/12307359/c18c47bf07a3/fpubh-13-1624477-g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec96/12307359/de70cf2603e8/fpubh-13-1624477-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec96/12307359/c066a1a40aeb/fpubh-13-1624477-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec96/12307359/12d953e7ee3b/fpubh-13-1624477-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec96/12307359/3fa439c7959f/fpubh-13-1624477-g008.jpg

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