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CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	caadria2023_329
id	caadria2023_329
authors	Hao, Xinyuan and Tong, Ziyu
year	2023
title	Identifying the Effect of Wind Condition on Canopy Urban Heat Island: A Case Study in Nanjing
doi	https://doi.org/10.52842/conf.caadria.2023.2.623
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 623–632
summary	The canopy urban heat island (CUHI) stands for the phenomenon where the air temperature in an urban area is significantly higher than in a suburban area. Identifying CUHIs and their pattern can improve the health and comfort of urban residents. However, previous studies have focused more on surface urban heat island (SUHI) yet lacking a proper quantification tool for canopy heat islands. This study integrates local climate zone (LCZ), urban form classification data, and anthropogenic heat to quantify the canopy temperature, so as to analyze the distribution of CUHIs as well as the relation with wind condition. The case study of Nanjing selects the weather data representing days with different wind directions, uses WRF to simulate local air temperatures and wind speeds and directions, and analyses the influence of wind on CUHI through comparison. The results show that: 1) in the case of Nanjing, wind direction within 50-90° increases CUHI and leads to a continuous rise in air temperature; 2) when the wind direction falls in some specific ranges, the overall CUHI area significantly shrinks. In short, this paper shows how wind condition affects CUHI, which contributes to predicting CUHI and reducing the risk of heat exposure to urban populations, and provides guidance for urban management and design.
keywords	Canopy urban heat island (CUHI), wind condition, weather research and forecasting (WRF), local climate zone (LCZ)
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	caadria2024_431
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
last changed	2024/11/17 22:05

_id	ecaade2024_146
id	ecaade2024_146
authors	Yu, Zhichao; Hao, Xinyuan; Tong, Ziyu
year	2024
title	Research on Ventilation-Oriented Complex Building Design Using the WRF-CFD Downscaling Method
doi	https://doi.org/10.52842/conf.ecaade.2024.2.393
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 2, pp. 393–402
summary	Ventilation-oriented design aims to improve natural ventilation during the building design and optimization process. However, previous studies have focused merely on simplistic models, mono-scale climatic conditions, or single design problem. Building design is an integrated multiscale process, and accordingly, the external conditions for ventilation simulation should be targeted to different scales of the design process. To address these issues, this paper proposes a ventilation-oriented design framework for complex building design that combines the progressive design approach with the 3-domain nested ventilation simulation method based on WRF-CFD. Moreover, the boundary conditions are set to be appropriate for each design phase, with distinct evaluation indicators. To demonstrate its efficacy, this research takes the design process of a residential building located in the main urban area of Nanjing, China as a case. The results show that our design method can provide architects with multidimensional ventilation design information as references, and contribute to a better urban living environment based on ventilation-oriented complex building design.
keywords	Ventilation-oriented design, Design optimization, WRF-CFD model, Computational design, Complex building
series	eCAADe
email
last changed	2024/11/17 22:05

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