Urban Climate, Год журнала: 2024, Номер 57, С. 102104 - 102104
Опубликована: Авг. 23, 2024
Язык: Английский
Sustainable Cities and Society, Год журнала: 2024, Номер 103, С. 105260 - 105260
Опубликована: Фев. 7, 2024
Язык: Английский
Процитировано
32
Environment International, Год журнала: 2024, Номер 183, С. 108424 - 108424
Опубликована: Янв. 1, 2024
Increased attention has been paid to humid-heat extremes as they are projected increase in both frequency and intensity. However, it remains unclear how compound of heat humidity affects morbidity when the climate is continue warming future, particular for a megacity with large population. We chose Wet-Bulb Globe Temperature (WBGT) index metric characterize exposure. The historical associations between daily outpatient visits mean WBGT was established using Distributed Lag Non-linear Model (DLNM) during warm season (June September) from 2013 2015 Shanghai, prominent China. Future burden related combined effect high temperature were under four greenhouse gases (GHGs) emission scenarios (SSP126, SSP245, SSP370 SSP585). weather significantly associated higher risk Shanghai than high-temperature conditions. Relative baseline period (2010–2019), due 4.4% (95% confidence interval (CI): 1.1%–10.1%) even strict control scenario (SSP126) by 2100. Under high-GHGs (SSP585), this be 25.4% CI: 15.8%–38.4%), which 10.1% 6.5%–15.8%) more that weather. Our results also indicate humid-hot nights could cause risks particularly heat-sensible diseases such respiratory cardiovascular disease end century. Humid exposures increased all-cause especially nights. findings suggest elevated have substantial impact on health compared alone climate.
Язык: Английский
Процитировано
12
Remote Sensing Applications Society and Environment, Год журнала: 2024, Номер 35, С. 101204 - 101204
Опубликована: Апрель 25, 2024
Язык: Английский
Процитировано
12
Building and Environment, Год журнала: 2024, Номер unknown, С. 112225 - 112225
Опубликована: Окт. 1, 2024
Язык: Английский
Процитировано
10
The Science of The Total Environment, Год журнала: 2024, Номер 947, С. 174650 - 174650
Опубликована: Июль 9, 2024
Язык: Английский
Процитировано
9
Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106182 - 106182
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
1
Sustainable Cities and Society, Год журнала: 2024, Номер 113, С. 105706 - 105706
Опубликована: Июль 26, 2024
Язык: Английский
Процитировано
8
Wiener klinische Wochenschrift, Год журнала: 2024, Номер 136(17-18), С. 507 - 514
Опубликована: Авг. 19, 2024
Summary Exposure to extreme heat is associated with both increased morbidity and mortality, especially in older people. Health burdens include stroke, diabetes mellitus, hypertension, ischemic heart diseases, failure arrhythmia, pulmonary diseases but also injuries, problems activities of daily living, mental disorders. In Europe, there are remarkable spatial differences exposure between urban less populated areas. Austria, for example, a significant gradual association population density the number days, where gradient urbanization follows sea level. The European continuously ageing, rural Older adults vulnerable negative health consequences resulting from exposure, due lack physiological, social, cognitive, behavioral resources. people living areas particularly at risk, island effect, heat-promoting interplay conditions typically found cities, such as vegetation combined high proportion built-up areas; however, regions often have infrastructure cope heat, fewer cooling centers emergency services. Additionally, still engaged agricultural or forestry may be exposed temperatures without adequate protection hydration. More research required examine factors responsible vulnerability interactions possibilities increasing resilience populations heat.
Язык: Английский
Процитировано
6
Construction and Building Materials, Год журнала: 2024, Номер 449, С. 138494 - 138494
Опубликована: Окт. 1, 2024
Язык: Английский
Процитировано
6
Sustainable Cities and Society, Год журнала: 2024, Номер 101, С. 105208 - 105208
Опубликована: Янв. 14, 2024
The growing impact of climate change, including extreme weather events, represents a significant challenge for humanity. With most the world's population living in urban areas, heat island effect and anthropogenic contribute to elevated city temperatures. This increase warming threatens human health demands deeper understanding thermal distribution environments. Collecting accessible widespread temperature data areas is essential address this challenge. study aims develop methodology anticipating environments, leveraging Citizen Weather Stations (CWS) as valuable crowdsourcing sources. ultimate goal create predictive model that estimates temperatures based on government meteorological station forecasts, improving planning, regulating temperature-based routes, preventing issues vulnerable populations, enhancing livability. divided into three fundamental stages: acquisition through CWS with citizen collaboration, development evaluation optimal forecast models stations (SWS) data, its exploitation terms utility applicability. encompasses collection filtering ensure usefulness implement reliable models. resulting tool facilitates informed decision-making precise seasonal event planning effectively addressing challenges extrapolation contributing more effective adaptation mitigation strategies change heatwaves. results obtained probe feasibility using predict which has been demonstrated accurately. achievement, proven be source context. Also, process described applied case effective, discarding approximately 34.87% data. achieved by detecting eliminating anomalies, considering availability, adhering specific quality criteria. Finally, developed prediction ability optimally estimate temperatures, utilizing provided (SWS). performance indicators support claim. For linear regression model, Mean Squared Error (MSE) 2.177 an R-squared (R2) 0.960 are obtained, while neural network, MSE 1.284 R2 0.976 achieved.
Язык: Английский
Процитировано
5