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 |
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 |
doi |
https://doi.org/10.52842/conf.caadria.2023.2.623
|
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 |
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full text |
file.pdf (9,250,042 bytes) |
references |
Content-type: text/plain
|
Chen, B., Xie, M., Feng, Q., Wu, R. & Jiang, L. (2022)
Diurnal Heat Exposure Risk Mapping and Related Governance Zoning: a Case Study of Beijing, China
, Sustainable Cities and Society, 81, 13831, DOI:1.116/j.scs.222.13831
|
|
|
|
Estoque, R. C., Ooba, M., Seposo, X. T., Togawa, T., Hijioka, Y., Takahashi, K. & Nakamura, S. (2020)
Heat Health Risk Assessment in Philippine Cities Using Remotely Sensed Data and Social-ecological Indicators
, Nature Communications, 11(1), 1581, Available at: https://doi.org/1.138/s41467-2-15218-8.
|
|
|
|
He, B.-J. (2022)
Climate Change and Environmental Sustainability
, Advances in Science, Technology & Innovation, 131-136
|
|
|
|
Hu, Y., Hou, M., Jia, G., Zhao, C., Zhen, X. & Xu, Y. (2019)
Comparison of Surface and Canopy Urban Heat Islands Within Megacities of Eastern China
, ISPRS Journal of Photogrammetry and Remote Sensing, 156(11), 16-168, DOI:1.116/j.isprsjprs.219.8.12
|
|
|
|
Huang, F., Zhan, W., Wang, Z.-H., Voogt, J., Hu, L., Quan, J., Liu, C., Zhang, N. & Lai, J. (2020)
Satellite Identification of Atmospheric-surface-subsurface Urban Heat Islands Under Clear Sky
, Remote Sensing of Environment, 25, 11239, Available at: https://doi.org/1.116/j.rse.22.11239.
|
|
|
|
Li, B., Zhang, B., Yin, L. & Chang, J. (2023)
Assessing Heat Risk for Residents of Complex Urban Areas from an Accessibility-based Perspective
, Sustainable Cities and Society, 88(Forest Ecology and Management 446 219), 14278, Available at: https://doi.org/1.116/j.scs.222.14278.
|
|
|
|
Liang, Z., Wu, S., Wang, Y., Wei, F., Huang, J., Shen, J., & Li, S. (2020)
The Relationship Between Urban Form and Heat Island Intensity Along the Urban Development Gradients
, The Science of the total environment, 78, 13511. Available at: https://doi.org/1.116/j.scitotenv.219.13511
|
|
|
|
Lu, Y., He, T., Xu, X. & Qiao, Z. (2021)
Investigation the Robustness of Standard Classification Methods for Defining Urban Heat Islands
, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 11386-11394, doi: 1.119/JSTARS.221.3124558
|
|
|
|
Peng, W., Wang, R., Duan, J., Gao, W. & Fan, Z. (2022)
Surface and Canopy Urban Heat Islands: Does Urban Morphology Result in the Spatiotemporal Differences?
, Urban Climate, 42, 101136. Available at: https://doi.org/10116/j.uclim.222.11136
|
|
|
|
Thanvisitthpon, N. (2023)
Statistically Validated Urban Heat Island Risk Indicators for Uhi Susceptibility Assessment
, International Journal of Environmental Research and Public Health, 2(2), 1172, Available at: https://doi.org/1.339/ijerph221172.
|
|
|
|
Wang, T. (2019)
Research on Urban Morphology Modelling and Numerical Simulation of Microclimate Based on Local Climate Zones At Macro Scale [masters Thesis
, Nanjing University]
|
|
|
|
Wang, W., Yao, X. & Shu, J. (2020)
Air Advection Induced Differences Between Canopy and Surface Heat Islands
, Science of The Total Environment, 725, 13812, DOI: 1.116/j.scitotenv.22.13812
|
|
|
|
Xue, J., Zong, L., Yang, Y., Bi, X., Zhang, Y. & Zhao, M. (2023)
Diurnal and Interannual Variations of Canopy Urban Heat Island (cuhi) Effects Over a Mountain-valley City with a Semi-arid Climate
, Urban Climate, 48, 11425, Available at: https://doi.org/1.116/j.uclim.223.11425.
|
|
|
|
Zheng, Z., Ren, G., Gao, H. & Yang, Y. (2022)
Urban Ventilation Planning and Its Associated Benefits Based on Numerical Experiments: a Case Study in Beijing, China
, Building and Environment, 222, 19383, Available at: https://doi.org/1.116/j.buildenv.222.19383.
|
|
|
|
Zhou, Y., Zhao, H., Mao, S., Zhang, G., Jin, Y., Luo, Y., Huo, W., Pan, Z., An, P. & Lun, F. (2022)
Exploring Surface Urban Heat Island (suhi) Intensity and Its Implications Based on Urban 3D Neighborhood Metrics: an Investigation of 57 Chinese Cities
, Science of The Total Environment, 847, 157662, Available at: https://doi.org/1.116/j.scitotenv.222.157662.
|
|
|
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last changed |
2023/06/15 23:14 |
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