Urban Heat Stress in the context of socioeconomic and environmental challenges: Heat risk analysis and online surveys in northwestern Portugal

International Journal of Disaster Risk Reduction, Journal Year: 2025, Volume and Issue: unknown, P. 105384 - 105384

Published: March 1, 2025

Language: Английский

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Exploration of non-linear influence mechanisms of traditional courtyard forms on thermal comfort in winter and summer: A case study of Beijing, China

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: 119, P. 106124 - 106124

Published: Jan. 5, 2025

Language: Английский

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Urban green spaces as regulators of thermal comfort for different age groups in the context of heat waves

International Journal of Sustainable Development & World Ecology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 14

Published: Jan. 29, 2025

This study aims to bolster the resilience of cities in face heat wave disasters by considering climate regulation and residents' thermal sensation. We chose a humid-hot climatic region for experiment used blend objective measurements subjective questionnaires analyze environment characteristics different spatial forms green spaces sensation people from socio-demographic groups. The results demonstrate that (1) waterfront vegetation (semi-enclosed spaces) mixed area (semi-open are most effective regulating urban microclimate effects improving experience, (2) ranges reported individuals consistently exceed corresponding grading criteria under high pressure defined Wet Bulb Globe Temperature (WBGT), (3) both elders (>65 years old) children (<14 exhibit weaker sensitivity gentler response temperature changes than other age These imply with structures compositions have on people's perception groups respond waves differently. Consequently, it is necessary implement real-time monitoring areas where these gather, strengthen early warning systems guidance their outdoor activities. findings provide reference optimizing developing integrated 'Heat-Health Action Plan' regions around world.

Language: Английский

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Correlation Analysis of the Spatial Characteristics and Influencing Factors of the Block-Scale Thermal Environment: A Case Study in Jinan, China

Polish Journal of Environmental Studies, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 15, 2025

As an important factor in urban planning and design, blocks exhibit complex diverse thermal environment characteristics due to the properties of underlayment materials non-uniformity spatial distribution buildings.Previous research has predominantly concentrated on urban-scale its underlying drivers.Yet, there remains a notable inadequacy precise identification core heat island patches critical nodes, scientific rigor applied selecting geographical units methodologies, as well depth exploration concerning improvement strategies for at block scale.To address this gap, study uses typical neighborhood Jinan case study.It employs geographic information system (GIS), statistics, analysis methods, grounded heterogeneity different units, explore mechanisms scale.The results indicate that: (1) area, area edge account largest proportion landscape, accumulation, diffusion, radiation two areas lead increasing degree aggregation among patches, which impact adjustment balance inside pattern island.(2) There are significant differences correlation explanatory power between form indicators land surface temperature (LST) units.Local climate zoning (LCZ) can preserve complete landscape type strong local environmental effects, making it highly suitable block-scale feature correlations.(3) The HRE (height roughness elements), BEI (building evenness index), SVF (sky view factor) that have greatest LST.Building height, evenness, openness islands.Urban planners should fully consider indicator factors

Language: Английский

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Racial and Economic Disparities in High-Temperature Exposure in Brazil

International Journal of Environmental Research and Public Health, Journal Year: 2025, Volume and Issue: 22(2), P. 200 - 200

Published: Jan. 30, 2025

Primary studies analyzing the distribution of exposure to consequences climate change among different vulnerable groups are scarce. This study addresses this gap by investigating racial and economic disparities in high-temperature Brazil, focusing on impact subpopulations. We utilized georeferenced temperature data from Global High-Resolution Estimates Extreme Heat (GEHE) population 2010 Census. The disparity analyses included (i) estimating rate temperatures exceeding 28 °C, expressed as population-weighted heat (PHE¯); (ii) determining difference between most least exposed groups; (iii) calculating weighted Gini coefficients. findings reveal that low-income black, brown, indigenous populations predominantly PHE¯ °C. Nationally, is group, with a 47% higher than white population. Stratified indicate that, despite varying climatic environmental conditions across regions, black-brown-indigenous consistently faces highest Brazil. Income show lowest per capita income high country. highlights inequality deepening within-country inequalities, particularly affecting socioeconomically disadvantaged groups. These underscore urgent need for evidence-informed public policies address exposure, mitigate health risks associated change, emphasize importance context-sensitive comprehensive understanding heat-related health.

Language: Английский

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It is time to modernize energy insecurity policies to account for extreme heat

Joule, Journal Year: 2025, Volume and Issue: unknown, P. 101876 - 101876

Published: March 1, 2025

Language: Английский

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Effects of heat storage on urban thermal environment and surface energy balance by scaled outdoor experiments

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112952 - 112952

Published: March 1, 2025

Language: Английский

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Estimation of Health Risks from Climate Change-Related Hazards Using the Example of Nuremberg, Germany

Published: Jan. 1, 2025

Language: Английский

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Incorporating environmental considerations into infrastructure inequality evaluation using interpretable machine learning

Computers Environment and Urban Systems, Journal Year: 2025, Volume and Issue: 120, P. 102301 - 102301

Published: May 3, 2025

Language: Английский

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Analysis of Beijing's Cold and Heat Risks Based on Infectious Disease Trends

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 119, P. 106117 - 106117

Published: Dec. 28, 2024

Language: Английский

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