Climate change, heat stress and the analysis of its space-time variability in european metropolises DOI Creative Commons
David Hidalgo García, Hamed Rezapouraghdam

Journal of Cleaner Production, Год журнала: 2023, Номер 425, С. 138892 - 138892

Опубликована: Сен. 22, 2023

Global warming is a pressing problem that necessitates immediate action. This phenomenon particularly affecting the quality of life in larger cities due to population growth and human mobility. Understanding space-time variability heat stress various locations will face future therefore crucial for us. Taking into account aforementioned facts, current study examined evolution Hi index four European capitals - Berlin, Madrid, Paris, Rome during months July, August, September between 2008, 2012, 2017. The Space Agency (ESA) UrbClim climate model was used collect environmental data. Furthermore, Local Climatic Zones (LCZ) classifications land use/cover change (LULC) coverages were improve evaluation extrapolation results. According findings, studied areas experienced significant increases temperatures 2008 cities' average increase 0.31 °C per decade, with southern experiencing greater intensity northern less intensity. When comparing spatiotemporal different zones, discovered more impervious fewer green are vulnerable potential stress. As result, urban developments can be able create spaces resistant stress, improving people's life.

Язык: Английский

Localized synergies between heat waves and urban heat islands: Implications on human thermal comfort and urban heat management DOI
Bao‐Jie He, Junsong Wang, Huimin Liu

и другие.

Environmental Research, Год журнала: 2020, Номер 193, С. 110584 - 110584

Опубликована: Дек. 4, 2020

Язык: Английский

Процитировано

331
Anthropogenic emissions and urbanization increase risk of compound hot extremes in cities DOI
Jun Wang, Yang Chen, Weilin Liao

и другие.

Nature Climate Change, Год журнала: 2021, Номер 11(12), С. 1084 - 1089

Опубликована: Ноя. 1, 2021

Язык: Английский

Процитировано

275
A high-resolution monitoring approach of canopy urban heat island using a random forest model and multi-platform observations DOI Creative Commons
Shihan Chen, Yuanjian Yang, Fei Deng

и другие.

Atmospheric measurement techniques, Год журнала: 2022, Номер 15(3), С. 735 - 756

Опубликована: Фев. 9, 2022

Abstract. Due to rapid urbanization and intense human activities, the urban heat island (UHI) effect has become a more concerning climatic environmental issue. A high-spatial-resolution canopy UHI monitoring method would help better understand thermal environment. Taking city of Nanjing in China as an example, we propose for evaluating intensity (CUHII) at high resolution by using remote sensing data machine learning with random forest (RF) model. Firstly, observed parameters, e.g., surface albedo, land use/land cover, impervious surface, anthropogenic flux (AHF), around densely distributed meteorological stations were extracted from satellite images. These parameters used independent variables construct RF model predicting air temperature. The correlation coefficient between predicted temperature test set was 0.73, average root-mean-square error 0.72 ∘C. Then, spatial distribution CUHII evaluated 30 m based on output We found that wind speed negatively correlated CUHII, direction strongly offset direction. reduced distance center, due decreasing proportion built-up areas AHF same framework developed real-time assessment temporal (30 1 h) provides scientific support studying changes causes well pattern environments.

Язык: Английский

Процитировано

83
Urban heat island effect-related mortality under extreme heat and non-extreme heat scenarios: A 2010–2019 case study in Hong Kong DOI
Janice Ho, Yuan Shi, Kevin Ka‐Lun Lau

и другие.

The Science of The Total Environment, Год журнала: 2022, Номер 858, С. 159791 - 159791

Опубликована: Ноя. 1, 2022

Язык: Английский

Процитировано

76
A systematic review of urban heat island and heat waves research (1991–2022) DOI Creative Commons
Sorin Cheval, Vlad-Alexandru Amihăesei, Zenaida Chiţu

и другие.

Climate Risk Management, Год журнала: 2024, Номер 44, С. 100603 - 100603

Опубликована: Янв. 1, 2024

Urban Heat Island (UHI) and Waves (HWs) are very important research topics as they have a strong impact on society their synergies not enough understood. Urbanisation global warming dynamic processes that amplify the UHI intensity HWs, well synergies. In this context, it is surprise to see number of publications tackling linkages between HWs has constantly increased in last decades. The development new instruments technologies allowed for consistent improvements temporal spatial resolution data boosted both monitoring analysis UHI-HW. use satellite remote sensing was limited at beginning analysed period become common practice decade. Last, but least, interdisciplinary approaches, including physical, social, economic aspects more frequent support integrated urban areas. Such changes captured review than 400 titles, covering 1991–2022, aiming foster further emergent climate change risks scales contextualise future planning. This provides comprehensive, accessible structured overview UHI-HW topic better understanding gaps be addressed by research.

Язык: Английский

Процитировано

23
Seasonal surface urban heat island analysis based on local climate zones DOI Creative Commons
Yantao Xi,

Shuangqiao Wang,

Yunxia Zou

и другие.

Ecological Indicators, Год журнала: 2024, Номер 159, С. 111669 - 111669

Опубликована: Фев. 1, 2024

A fundamental aspect of ensuring urban sustainability is a comprehensive understanding the driving mechanisms behind heat island (UHI) phenomenon. The primary objective this study to investigate spatiotemporal variations and underlying surface (SUHI) in Hefei. employed local climate zone (LCZ) method analyze land morphology spatial structure for 2014 2021. Subsequently, calculations were conducted derive intensity (SUHII), normalized difference built-up index (NDBI), vegetation (NDVI), gravity water (GWI), building fraction (BSF), road density (RD), poi (PD), population (PPD). exploration by which factors influence SUHI was utilizing both Pearson correlation analysis geographic detector models. results revealed that sparsely built (LCZ 9) low plants D) predominantly characterized natural coverage areas, respectively. summer season distinguished most extensive distribution highest SUHII levels. Significantly, consistently exceeded those LCZs when contrasted LCZs. Large lowrise 8) displayed levels, whereas G) exhibited lowest values. NDBI took precedence showed positive with SUHI. Among socio-economic factors, height (BH) demonstrated superior explanatory capability compared other variables. interaction between NDVI maximized explanation under different seasons. findings will serve as critical insights planners policymakers, enabling development scientifically-based efficacious strategies mitigate

Язык: Английский

Процитировано

21
Spatiotemporal variability of the Universal Thermal Climate Index during heat waves using the UrbClim climate model: Implications for tourism destinations. DOI
David Hidalgo García, Dimitra Founda, Hamed Rezapouraghdam

и другие.

Urban Climate, Год журнала: 2025, Номер 59, С. 102281 - 102281

Опубликована: Янв. 8, 2025

Язык: Английский

Процитировано

3
Risk of mortality and disease attributable to the heat stress index and its variability during heat waves: an observational study on the city of Madrid DOI Creative Commons

Mónica Puga-Bonilla,

David Hidalgo García, Hamed Rezapouraghdam

и другие.

Sustainable Cities and Society, Год журнала: 2025, Номер 121, С. 106189 - 106189

Опубликована: Фев. 2, 2025

Язык: Английский

Процитировано

3
Within-city spatial and temporal heterogeneity of air temperature and its relationship with land surface temperature DOI
Jie Cao, Weiqi Zhou, Zhong Zheng

и другие.

Landscape and Urban Planning, Год журнала: 2020, Номер 206, С. 103979 - 103979

Опубликована: Ноя. 7, 2020

Язык: Английский

Процитировано

117
Urban Heat Island and Its Interaction with Heatwaves: A Review of Studies on Mesoscale DOI Open Access
Jing Kong, Yongling Zhao, Jan Carmeliet

и другие.

Sustainability, Год журнала: 2021, Номер 13(19), С. 10923 - 10923

Опубликована: Сен. 30, 2021

With rapid urbanization, population growth and anthropogenic activities, an increasing number of major cities across the globe are facing severe urban heat islands (UHI). UHI can cause complex impacts on environment human health, it may bring more effects under heatwave (HW) conditions. In this paper, a holistic review is conducted to articulate findings synergies between HW corresponding mitigation measures proposed by research community. It worth pointing out that most studies show areas vulnerable than rural during HWs, but opposite also observed in some studies. Changes energy budget drivers discussed compared explain such discrepancies. Recent indicate albedo, vegetation fraction irrigation lower temperature HWs. Research gaps topic necessitate concerning developing countries. Moreover, multidisciplinary considering factors as UHI, HW, comfort, pollution dispersion efficacy should be provide accurate explicit guidance planners policymakers.

Язык: Английский

Процитировано

100