Trends in socioeconomic disparities in urban heat exposure and adaptation options in mid-sized U.S. cities DOI
Shijuan Chen,

Simon Bruhn,

Karen C. Seto

et al.

Remote Sensing Applications Society and Environment, Journal Year: 2024, Volume and Issue: 36, P. 101313 - 101313

Published: Aug. 3, 2024

Language: Английский

Global projections of heat exposure of older adults DOI Creative Commons
Giacomo Falchetta, Enrica De Cian, Ian Sue Wing

et al.

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

Published: May 14, 2024

The global population is aging at the same time as heat exposures are increasing due to climate change. Age structure, and its biological socio-economic drivers, determine populations' vulnerability high temperatures. Here we combine age-stratified demographic projections with downscaled temperature mid-century find that chronic exposure doubles across all warming scenarios. Moreover, >23% of aged 69+ will inhabit climates whose 95th percentile daily maximum exceeds critical threshold 37.5 °C, compared 14% today, exposing an additional 177-246 million older adults dangerous acute heat. Effects most severe in Asia Africa, which also have lowest adaptive capacity. Our results facilitate regional risk assessments inform public health decision-making.

Language: Английский

Citations

24
Sensing-based park cooling performance observation and assessment: A review DOI
Hua Liu, Boze Huang, Cheng Xiang

et al.

Building and Environment, Journal Year: 2023, Volume and Issue: 245, P. 110915 - 110915

Published: Oct. 10, 2023

Language: Английский

Citations

29
Urban tree cover provides consistent mitigation of extreme heat in arid but not humid cities DOI Creative Commons
Peter C. Ibsen, Ben Crawford, Lucila M. Corro

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 113, P. 105677 - 105677

Published: July 17, 2024

Urban land cover types influence the urban microclimates. However, recent work indicates magnitude of cover's microclimate is affected by aridity. Moreover, this variation in cooling and warming potentials can substantially alter exposure areas to extreme heat. Our goal understand both relative influences on local air temperature, as well how these vary during periods To do so we apply predictive machine learning models an extensive in-situ 1 m dataset across eight U.S. cities spanning a wide aridity gradient typical heat conditions. We demonstrate tree canopy buildings linearly scales with regional aridity, while turf impervious surfaces does not. These interactions lead consistently mitigate temperature increases arid cities, humid regions varied, suggesting that mitigation possible, but also aggravate or have no significant effect.

Language: Английский

Citations

11
Parks may not be effective enough to improve the thermal environment in Shanghai (China) as our modified H3SFCA method suggests DOI
Peng Zeng, Dachuan Shi, Yaoyi Liu

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: 253, P. 111291 - 111291

Published: Feb. 15, 2024

Language: Английский

Citations

8
Planning for green infrastructure based on integration of multi-driving factors: A case study in pilot site of sponge city DOI
Xinyu Dong, Yanmei Ye, Runjia Yang

et al.

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 93, P. 104549 - 104549

Published: March 21, 2023

Language: Английский

Citations

22
On-site measurement and numerical simulation study on characteristic of urban heat island in a multi-block region in Beijing, China DOI

Jianlin Ren,

Kaizhe Shi,

Xiangfei Kong

et al.

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 95, P. 104615 - 104615

Published: April 24, 2023

Language: Английский

Citations

19
Effectiveness of potential strategies to mitigate surface urban heat island: A comprehensive investigation using high-resolution thermal observations from an unmanned aerial vehicle DOI
Sitao Li, Yi Zhu,

Haokai Wan

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 113, P. 105716 - 105716

Published: July 29, 2024

Language: Английский

Citations

8
Nonlinear effects of urban multidimensional characteristics on daytime and nighttime land surface temperature in highly urbanized regions: A case study in Beijing, China DOI Creative Commons
Wenxiu Liu, Linlin Zhang,

Xinli Hu

et al.

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2024, Volume and Issue: 132, P. 104067 - 104067

Published: Aug. 1, 2024

It is crucial to clarify the nonlinear effects of urban multidimensional characteristics on land surface temperature (LST). However, combined consideration green space (UGS), water bodies, buildings, and socio-economic factors limited. And diurnal differences in their thermal have been less considered. In this study, central Beijing was taken as study area. Local climate zones (LCZ) were firstly applied reveal spatiotemporal heterogeneity LST. Then, interpretable machine learning methods utilized quantitatively characteristics, i.e., UGS, building landscape features, features. The results indicated that built type LCZs a higher average LST compared natural LCZs. simultaneously influenced by buildings' density height characteristics. Daytime mainly affected proportions trees, while nighttime more key exhibit Whether during day or night, impact coverage greater than height, consistently exhibiting warming effect. While, body edge both exhibited reversal trend between night. Our also emphasized importance trees UGS provided recommendations for planning based sensitivity contribution considerations. These findings can help regulate promote sustainable development.

Language: Английский

Citations

7
Cooling Effect of Trees with Different Attributes and Layouts on the Surface Heat Island of Urban Street Canyons in Summer DOI Creative Commons

Shaojun Yan,

Tailong Zhang, Yu Wu

et al.

Atmosphere, Journal Year: 2023, Volume and Issue: 14(5), P. 857 - 857

Published: May 11, 2023

In recent years, the impact of surface heat islands in urban street canyons has become increasingly apparent. However, research on use trees to mitigate remains limited. To address this gap, study combines experiments and simulations analyze cooling effect temperatures under varying timeframes layouts an east–west canyon. The results reveal that temperature road decreases by 10–15 °C, which is 2–4 times greater than south side. Moreover, at 5:00 p.m. afternoon, side 10.3 twice north practical planning design, diameter tree canopy should be maximized, with leaf-area densities 1.5 m2/m3 selected. Additionally, layout optimized maximize coverage. These findings have important implications for optimizing plant selection placement canyons.

Language: Английский

Citations

14
Hourly impact of urban features on the spatial distribution of land surface temperature: A study across 30 cities DOI
Qi Wang, Haitao Wang,

Lanhong Ren

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 113, P. 105701 - 105701

Published: July 27, 2024

Language: Английский

Citations

5