id |
caadria2024_431 |
authors |
Hao, Xinyuan, Tong, Ziyu and Yu, Zhichao |
year |
2024 |
title |
Assessing Heat Exposure Risks Among Different Urban Demographics to Enhance Public Health During Heat Waves: A Case Study in Nanjing |
doi |
https://doi.org/10.52842/conf.caadria.2024.2.345
|
source |
Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 2, pp. 345–354 |
summary |
In the context of frequent extreme heat events, urban dwellers are increasingly exposed to heatwaves, leading to adverse health effects. It’s crucial to precisely quantify the risk of heat exposure faced by diverse demographic groups in various locations and environments. However, current research lacked multidimensional modelling and analysis involving diverse metrics. This research quantified the risks of heat exposure by utilizing WRF-LCZ numerical simulations to obtain data during extreme heat moments. It identified areas with high heat aggregation and integrated adaptation capabilities to confront heat hazards for three groups of vulnerable populations. The research further explores variations in different heat-aggregated areas, considering diverse aspects such as built environment, social attributes, and medical support. The results indicate that: 1) Heat-aggregated areas demonstrate the highest levels of heat exposure risk during heatwave events, regardless of any other factors. 2) Specific blocks in Heat-aggregated Area 2 and 3 show significantly elevated heat exposure risks for residents under equivalent conditions, which may be influenced by poorer ventilation or higher relative humidity in the local areas. Research outputs regarding heat exposure risks can provide valuable insights for human environmental health, urban management and public facility planning. |
keywords |
Heat exposure risk, extreme heat events, environmental health, urban population, weather research and forecasting (WRF), mobile signaling |
series |
CAADRIA |
email |
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full text |
file.pdf (4,556,692 bytes) |
references |
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last changed |
2024/11/17 22:05 |
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