Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/91971
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Land Surveying and Geo-Informatics | - |
dc.creator | Yang, J | - |
dc.creator | Shi, Q | - |
dc.creator | Menenti, M | - |
dc.creator | Wong, MS | - |
dc.creator | Wu, Z | - |
dc.creator | Zhao, Q | - |
dc.creator | Abbas, S | - |
dc.creator | Xu, Y | - |
dc.date.accessioned | 2022-02-07T07:04:40Z | - |
dc.date.available | 2022-02-07T07:04:40Z | - |
dc.identifier.issn | 2212-0955 | - |
dc.identifier.uri | http://hdl.handle.net/10397/91971 | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | © 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license(http://creativecommons.org/licenses/by/4.0/) | en_US |
dc.rights | The following publication Yang, J., Shi, Q., Menenti, M., Wong, M. S., Wu, Z., Zhao, Q., ... & Xu, Y. (2021). Observing the impact of urban morphology and building geometry on thermal environment by high spatial resolution thermal images. Urban Climate, 39, 100937 is available at https://doi.org/10.1016/j.uclim.2021.100937 | en_US |
dc.subject | High-resolution thermal imagery | en_US |
dc.subject | Urban morphology | en_US |
dc.subject | Urban surface temperature | en_US |
dc.subject | Urban thermal environment | en_US |
dc.title | Observing the impact of urban morphology and building geometry on thermal environment by high spatial resolution thermal images | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 39 | - |
dc.identifier.doi | 10.1016/j.uclim.2021.100937 | - |
dcterms.abstract | Urban surface temperature is a very important variable in the observation and understanding of energy exchange. A comprehensive understanding of the urban thermal environment is of great significance towards the adaptability of urban areas to climate hazards. The heterogeneity of urban space increases the complexity of the urban surface temperature observations and the analyses of the energy exchange. To understand how the urban geometry affects the distribution of surface temperature, we used airborne thermal infrared remotely sensed images at very high spatial resolution (original spatial resolution is 0.2 m × 0.2 m after registration). We did this study in Hong Kong to analyze the effects of various geometric parameters on different facet surface temperatures (roof, road, wall and vegetation) in daytime and nighttime and in different seasons. Results show that the urban geometry has greater impacts on the road temperature than on building temperature, and the impact of the geometric parameters on road surface temperature changes with the time of the day and the season. The building height is a more effective driver of heat dissipation in daytime than nighttime for roof facets. A lower building density improves ground heat dissipation, while a higher building density improves heat dissipation by roof facets. Furthermore, the vegetation only limitedly affects the surface temperatures of facets that are lower than vegetation, but to an extent useful to mitigate urban temperature, which might be a feature relevant in urban design. This research can provide insights useful to city planners and policy makers to better understand the urban thermal environment and help design more livable and healthy cities in the near future. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Urban climate, Sept. 2021, v. 39, 100937 | - |
dcterms.isPartOf | Urban climate | - |
dcterms.issued | 2021-09 | - |
dc.identifier.scopus | 2-s2.0-85111173192 | - |
dc.identifier.artn | 100937 | - |
dc.description.validate | 202202 bcvc | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_Scopus/WOS | en_US |
dc.description.fundingSource | RGC | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | This work was supported by Grants by National Natural Science Foundation of China ( 41901283 , 61976234 , 42071394 ), Guangdong Provincial Natural Science Foundation ( 2021A1515012567 , 2018B030312004 ), and Major Projects of High Resolution Earth Observation (Grant No. 30-H30C01-9004-19/21 ). The authors thank the Hong Kong Planning Department, Hong Kong Lands Department, the Hong Kong Civil Engineering and Development Department, the Hong Kong Observatory and the Hong Kong Government Flying Service for the planning, building GIS, weather and climate, and airborne Lidar data. Massimo Menenti acknowledges the support of grant P10-TIC-6114 by the Junta de Andalucía and the MOST High Level Foreign Expert program (Grant nr. GL20200161002 ). Man Sing Wong thanks the funding support from a grant by the General Research Fund (Grant no. 15602619 ) from the Hong Kong Research Grants Council . Dr. Qunshan Zhao has received UK ESRC's on-going support for the Urban Big Data Centre (UBDC) [ ES/L011921/1 and ES/S007105/1 ]. We would also want to thank the anonymous reviewers for their insightful comments and suggestions on an earlier version of this manuscript. | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | CC | en_US |
Appears in Collections: | Journal/Magazine Article |
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File | Description | Size | Format | |
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1-s2.0-S221209552100167X-main.pdf | 13.77 MB | Adobe PDF | View/Open |
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