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Spatiotemporal patterns of street-level solar radiation estimated using Google Street View in a high-density urban environment

Gong, Fang-Ying and Zeng, Zhao-Cheng and Ng, Edward and Norford, Leslie K. (2019) Spatiotemporal patterns of street-level solar radiation estimated using Google Street View in a high-density urban environment. Building and Environment, 148 . pp. 547-566. ISSN 0360-1323. http://resolver.caltech.edu/CaltechAUTHORS:20181016-140315755

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Abstract

This study presents a method for calculating solar irradiance of street canyons using Google Street View (GSV) images and investigates its spatiotemporal patterns in a high-density urban environment. In this method, GSV images provide a unique way to characterize the street morphology from which the diurnal solar path and solar radiation exposure can be estimated in a street canyon. Verifications of our developed method using free-horizon HKO observations and street-level field measurements show that both the calculated clear-sky and all-sky solar irradiance of street canyons well capture the diurnal and seasonal cycles. In the high-density urban areas of Hong Kong, we found that (1) the lowest monthly averaged solar irradiation in winter are 6.6 (December) and 4.6 (February) MJ/m^2/day, and the highest values in summer are 17.3 (July) and 10.8 (June) MJ/m^2/day for clear-sky and all-sky calculations, respectively; (2) The spatial variability of solar irradiation is closely related to sky view factor (SVF). In summer, the irradiation in a low-rise region (SVF≥0.7) on average is about three times that in a high-rise region (SVF≤0.3), and they differ by about five times in winter; (3) Street orientation has significant impact on the solar radiation received in a high-density street canyon. In general, street canyons with West-East orientation receive higher solar irradiation during summer and lower during winter compared to those with South-North orientation. The generated maps of street-level solar irradiation may help researchers investigate the interactions between solar radiation, human health and urban thermal balance in high-density urban environments.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1016/j.buildenv.2018.10.025DOIArticle
ORCID:
AuthorORCID
Gong, Fang-Ying0000-0001-5194-6435
Zeng, Zhao-Cheng0000-0002-0008-6508
Norford, Leslie K.0000-0002-5631-7256
Additional Information:© 2018 Elsevier Ltd. Received 10 July 2018, Revised 12 October 2018, Accepted 12 October 2018, Available online 15 October 2018.
Subject Keywords:Solar radiation; Sky view factor; Street canyon; Google street view; Deep learning; Hong Kong
Record Number:CaltechAUTHORS:20181016-140315755
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20181016-140315755
Official Citation:Fang-Ying Gong, Zhao-Cheng Zeng, Edward Ng, Leslie K. Norford, Spatiotemporal patterns of street-level solar radiation estimated using Google Street View in a high-density urban environment, Building and Environment, Volume 148, 2019, Pages 547-566, ISSN 0360-1323, https://doi.org/10.1016/j.buildenv.2018.10.025. (http://www.sciencedirect.com/science/article/pii/S0360132318306437)
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:90283
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:16 Oct 2018 21:25
Last Modified:10 Dec 2018 19:42

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