• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

城市化对特大城市极端变暖暴露的影响。

Impact of urbanization on exposure to extreme warming in megacities.

作者信息

Khanh Do Ngoc, Varquez Alvin C G, Kanda Manabu

机构信息

Department of Transdisciplinary Science and Engineering, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro, Tokyo, 152-8550, Japan.

出版信息

Heliyon. 2023 Apr 18;9(4):e15511. doi: 10.1016/j.heliyon.2023.e15511. eCollection 2023 Apr.

DOI:10.1016/j.heliyon.2023.e15511
PMID:37128331
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10148033/
Abstract

Cities warm up due to two main factors: global climate change and urbanization-induced warming (so-called, urban heat island effect). In the projection of future climate, coarse-resolution global climate models are not suitable for looking into the heterogeneous urban surface and their changes. On the other hand, regional climate models, which are capable of looking into cities in detail, have never been used to investigate the global urban climate. Here we show that urbanization significantly increases exposure to extreme warming for megacity residents. We reflect urbanization between the 2010s and the 2050s into our model by considering the spatiotemporal change in urban surface (buildings and anthropogenic heat emissions) induced by urban population and economic growth. We found that in the 2050s, under the worst-case scenario, 78 percent of megacity residents will be exposed to 2.5 °Cwarming, much higher than the projection of 65 percent when urban warming is left out. Our results highlight the importance of accounting for local urbanization in future global urban climate projection.

摘要

城市升温主要归因于两个因素

全球气候变化和城市化引发的升温(即所谓的城市热岛效应)。在未来气候预测中,低分辨率的全球气候模型并不适合研究城市表面的异质性及其变化。另一方面,能够详细研究城市的区域气候模型从未被用于调查全球城市气候。在此我们表明,城市化显著增加了特大城市居民面临极端升温的风险。我们通过考虑城市人口和经济增长引起的城市表面(建筑物和人为热排放)的时空变化,将20世纪10年代至2050年代的城市化情况纳入我们的模型。我们发现,在2050年代,在最坏的情况下,78%的特大城市居民将面临2.5摄氏度的升温,远高于不考虑城市升温时预测的65%。我们的结果凸显了在未来全球城市气候预测中考虑当地城市化的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f6f/10148033/04031716cc8b/gr003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f6f/10148033/6f26ae6a82a3/gr001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f6f/10148033/fa27dcefd21c/gr002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f6f/10148033/04031716cc8b/gr003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f6f/10148033/6f26ae6a82a3/gr001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f6f/10148033/fa27dcefd21c/gr002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f6f/10148033/04031716cc8b/gr003.jpg

相似文献

1
Impact of urbanization on exposure to extreme warming in megacities.城市化对特大城市极端变暖暴露的影响。
Heliyon. 2023 Apr 18;9(4):e15511. doi: 10.1016/j.heliyon.2023.e15511. eCollection 2023 Apr.
2
Global urban population exposure to extreme heat.全球城市人口面临极端高温的威胁。
Proc Natl Acad Sci U S A. 2021 Oct 12;118(41). doi: 10.1073/pnas.2024792118.
3
The Effect of Urban Heat Island on Climate Warming in the Yangtze River Delta Urban Agglomeration in China.城市热岛对中国长江三角洲城市群气候变暖的影响。
Int J Environ Res Public Health. 2015 Jul 27;12(8):8773-89. doi: 10.3390/ijerph120808773.
4
Disentangling the trend in the warming of urban areas into global and local factors.解析城市地区变暖趋势中的全球和地方因素。
Ann N Y Acad Sci. 2021 Nov;1504(1):230-246. doi: 10.1111/nyas.14691. Epub 2021 Sep 16.
5
Future population exposure to heatwaves in 83 global megacities.83 个全球特大城市未来面临热浪的人口暴露情况。
Sci Total Environ. 2023 Aug 25;888:164142. doi: 10.1016/j.scitotenv.2023.164142. Epub 2023 May 12.
6
Future increase in elderly heat-related mortality of a rapidly growing Asian megacity.未来亚洲特大城市老年人群因热相关疾病导致的死亡率将上升。
Sci Rep. 2020 Jun 9;10(1):9304. doi: 10.1038/s41598-020-66288-z.
7
Evaluating contributions of urbanization and global climate change to urban land surface temperature change: a case study in Lagos, Nigeria.评估城市化和全球气候变化对城市土地表面温度变化的贡献:以尼日利亚拉各斯为例。
Sci Rep. 2022 Aug 19;12(1):14168. doi: 10.1038/s41598-022-18193-w.
8
Global future population exposure to heatwaves.全球未来人口将面临热浪的影响。
Environ Int. 2023 Aug;178:108049. doi: 10.1016/j.envint.2023.108049. Epub 2023 Jun 20.
9
An integrated assessment on the warming effects of urbanization and agriculture in highly developed urban agglomerations of China.中国高度发达城市群中城市化和农业对变暖影响的综合评估。
Sci Total Environ. 2022 Jan 15;804:150119. doi: 10.1016/j.scitotenv.2021.150119. Epub 2021 Sep 6.
10
Intensifying urban imprint on land surface warming: Insights from local to global scale.强化城市对地表变暖的影响:从局部到全球尺度的见解
iScience. 2024 Feb 5;27(3):109110. doi: 10.1016/j.isci.2024.109110. eCollection 2024 Mar 15.

引用本文的文献

1
Air pollution interventions for health.针对健康的空气污染干预措施。
Nat Med. 2025 Aug 21. doi: 10.1038/s41591-025-03929-8.
2
Increasing rat numbers in cities are linked to climate warming, urbanization, and human population.城市中老鼠数量的增加与气候变暖、城市化和人口有关。
Sci Adv. 2025 Jan 31;11(5):eads6782. doi: 10.1126/sciadv.ads6782.
3
Pollution gradients shape microbial communities associated with Ae. albopictus larval habitats in urban community gardens.污染梯度塑造了与城市社区花园白纹伊蚊幼虫栖息地相关的微生物群落。

本文引用的文献

1
Global 1-km present and future hourly anthropogenic heat flux.全球 1 公里范围内当前和未来每小时人为热通量。
Sci Data. 2021 Feb 22;8(1):64. doi: 10.1038/s41597-021-00850-w.
2
Future increase in elderly heat-related mortality of a rapidly growing Asian megacity.未来亚洲特大城市老年人群因热相关疾病导致的死亡率将上升。
Sci Rep. 2020 Jun 9;10(1):9304. doi: 10.1038/s41598-020-66288-z.
3
The current and future global distribution and population at risk of dengue.当前和未来登革热的全球分布和风险人群。
FEMS Microbiol Ecol. 2024 Oct 25;100(11). doi: 10.1093/femsec/fiae129.
Nat Microbiol. 2019 Sep;4(9):1508-1515. doi: 10.1038/s41564-019-0476-8. Epub 2019 Jun 10.
4
High-resolution global urban growth projection based on multiple applications of the SLEUTH urban growth model.基于 SLEUTH 城市增长模型的多用途的高分辨率全球城市增长预测。
Sci Data. 2019 Apr 18;6(1):34. doi: 10.1038/s41597-019-0048-z.
5
Present and future Köppen-Geiger climate classification maps at 1-km resolution.目前和未来的 1 公里分辨率柯本-盖格尔气候分类图。
Sci Data. 2018 Oct 30;5:180214. doi: 10.1038/sdata.2018.214.
6
Quantifying urban heat island intensity and its physical mechanism using WRF/UCM.利用 WRF/UCM 量化城市热岛强度及其物理机制。
Sci Total Environ. 2019 Feb 10;650(Pt 2):3110-3119. doi: 10.1016/j.scitotenv.2018.10.025. Epub 2018 Oct 3.
7
The human core of the shared socioeconomic pathways: Population scenarios by age, sex and level of education for all countries to 2100.共享社会经济路径的人口核心:到2100年所有国家按年龄、性别和教育水平划分的人口情景。
Glob Environ Change. 2017 Jan;42:181-192. doi: 10.1016/j.gloenvcha.2014.06.004.
8
Climate change and thermal comfort in Hong Kong.香港的气候变化与热舒适度
Int J Biometeorol. 2014 Mar;58(2):137-48. doi: 10.1007/s00484-012-0608-9. Epub 2012 Nov 14.
9
Climate change and extreme heat events.气候变化与极端高温事件。
Am J Prev Med. 2008 Nov;35(5):429-35. doi: 10.1016/j.amepre.2008.08.021.