Using geographic effect measure modification to examine socioeconomic-related surface temperature disparities in New York City DOI
Nadav L. Sprague,

Stephen P. Uong,

Nora Clancy Kelsall

et al.

Journal of Exposure Science & Environmental Epidemiology, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 23, 2024

Language: Английский

Optimal allocation of local climate zones based on heat vulnerability perspective DOI
Rui Zhang, Jun Yang,

Xinyue Ma

et al.

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 99, P. 104981 - 104981

Published: Oct. 1, 2023

Language: Английский

Citations

47

Assessing urban population exposure risk to extreme heat: Patterns, trends, and implications for climate resilience in China (2000–2020) DOI

Chengcong Wang,

Zhibin Ren, Yüjie Guo

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 103, P. 105260 - 105260

Published: Feb. 7, 2024

Language: Английский

Citations

30

Green spaces provide substantial but unequal urban cooling globally DOI Creative Commons
Yuxiang Li, Jens‐Christian Svenning, Weiqi Zhou

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: Sept. 2, 2024

Climate warming disproportionately impacts countries in the Global South by increasing extreme heat exposure. However, geographic disparities adaptation capacity are unclear. Here, we assess global inequality green spaces, which urban residents critically rely on to mitigate outdoor stress. We use remote sensing data quantify daytime cooling greenery warm seasons across ~500 largest cities globally. show a striking contrast, with having ~70% of North (2.5 ± 1.0 °C vs. 3.6 1.7 °C). A similar gap occurs for benefits received an average resident these (2.2 0.9 3.4 This is due discrepancies space quantity and quality between South, shaped socioeconomic natural factors. Our analyses further suggest vast potential enhancing while reducing inequality.

Language: Английский

Citations

24

Towards multi-scale and context-specific heat health risk assessment - A systematic review DOI
Jiaxing Ye, Feng Yang

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: 119, P. 106102 - 106102

Published: Jan. 5, 2025

Language: Английский

Citations

2

Simulating daily PM2.5 concentrations using wavelet analysis and artificial neural network with remote sensing and surface observation data DOI
Qingchun Guo,

Zhenfang He,

Zhaosheng Wang

et al.

Chemosphere, Journal Year: 2023, Volume and Issue: 340, P. 139886 - 139886

Published: Aug. 21, 2023

Language: Английский

Citations

40

Shared insights for heat health risk adaptation in metropolitan areas of developing countries DOI Creative Commons

YU Wen-bo,

Jun Yang, Dongqi Sun

et al.

iScience, Journal Year: 2024, Volume and Issue: 27(5), P. 109728 - 109728

Published: April 12, 2024

Global warming has led to a surge in heat health risks (HHRs), the impacts of which are particularly pronounced metropolitan areas developing countries. In current study, six - Beijing, China; Cairo, Egypt; Jakarta, Indonesia; Mumbai, India; Rio de Janeiro, Brazil; and Tehran, Iran were selected as study area further differentiate built-up landscapes by utilizing concept local climate zones. Moreover, we assessed similarities differences HHR associated with landscape. Results revealed 30.67% higher compact than open type. Urban green spaces played an effective but differentiated role mitigating HHR. That is, low vegetation urbanized trees suburban significantly mitigated Collectively, our findings emphasize planning management addressing provide empirical support for implementing mitigation adaptation strategies.

Language: Английский

Citations

14

Assessing heat vulnerability in Philadelphia using geographically weighted principal component analysis (GWPCA): A geospatial big data-driven approach DOI Creative Commons
Ehsan Foroutan, Tao Hu, Fan Zhang

et al.

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2024, Volume and Issue: 127, P. 103653 - 103653

Published: Jan. 16, 2024

The impact of climate change, specifically more intense heat waves, has increased concerns about vulnerability, particularly among high-risk populations. This research utilizes multi-source geospatial big data and employs Geographically Weighted Principal Component Analysis (GWPCA) as well Global (GPCA) to analyze vulnerability in Philadelphia. Using GPCA, four key components are identified Sensitivity, Adaptive Capacity, proxy for Exposure, respectively. subsequent GWPCA analysis reveals localized differences, showing distinct patterns across the city. Notably, Sensitivity factors prominent western southwestern regions, whereas Exposure is dominant central southern parts. study underscores significance considering spatial heterogeneity when assessing vulnerability. It also highlights potential capture subtle disparities within specific areas proposes targeted strategies reduce affected communities. Therefore, incorporation an advanced model enables a comprehensive understanding complex urban environments. progress crucial enhancing resilience adaptation evolving conditions.

Language: Английский

Citations

12

Demographic disparity in diurnal surface urban Heat Island exposure across local climate zones: A case study of Chongqing, China DOI

Yujia Ming,

Yong Liu, Xue Liu

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 923, P. 171203 - 171203

Published: Feb. 28, 2024

Language: Английский

Citations

11

Ecosystem service mismatches evidence inequalities in urban heat vulnerability DOI Creative Commons
Celina Aznarez, Sudeshna Kumar,

Alba Marquez-Torres

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 922, P. 171215 - 171215

Published: Feb. 28, 2024

Exposure to heat poses a pressing challenge in cities, with uneven health and environmental impacts across the urban fabric. To assess disparities vulnerability its justice implications, we model supply-demand mismatches for ecosystem service (ES) temperature regulation. We integrated remote sensing, health, socio-demographic data Artificial Intelligence Environment Sustainability (ARIES) geographical information system tools. computed composite indicators at census tract level cooling supply, as measure of demand. do so context mid-size city Vitoria-Gasteiz, Basque Country (Europe). mapped relative after identifying analysed their relationship factors. Our findings show vulnerability, increased exposure observed among socio-economically disadvantaged communities, elderly, people issues. Areas associated higher income levels lower ES mismatches, indicating regulation supply reduced vulnerability. The results point need nature-based mitigation interventions that especially focus on more communities.

Language: Английский

Citations

10

The cooling capacity of urban vegetation and its driving force under extreme hot weather: A comparative study between dry-hot and humid-hot cities DOI
Zhibin Ren,

Chengcong Wang,

Yüjie Guo

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: 263, P. 111901 - 111901

Published: July 30, 2024

Language: Английский

Citations

8