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DOI10.1016/j.buildenv.2018.10.025
Spatiotemporal patterns of street-level solar radiation estimated using Google Street View in a high-density urban environment
Gong, Fang-Ying1,2; Zeng, Zhao-Cheng3; Ng, Edward1; Norford, Leslie K.2
发表日期2019
ISSN0360-1323
EISSN1873-684X
卷号148页码:547-566
英文摘要

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 irradiations 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 clearsky 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 a 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.


WOS研究方向Construction & Building Technology ; Engineering
来源期刊BUILDING AND ENVIRONMENT
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/92074
作者单位1.Chinese Univ Hong Kong, Sch Architecture, Shatin, Room505,AIT Bldg, Hong Kong, Peoples R China;
2.MIT, Dept Architecture, 77 Massachusetts Ave, Cambridge, MA 02139 USA;
3.CALTECH, Div Geol & Planetary Sci, Pasadena, CA 91125 USA
推荐引用方式
GB/T 7714
Gong, Fang-Ying,Zeng, Zhao-Cheng,Ng, Edward,et al. Spatiotemporal patterns of street-level solar radiation estimated using Google Street View in a high-density urban environment[J],2019,148:547-566.
APA Gong, Fang-Ying,Zeng, Zhao-Cheng,Ng, Edward,&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,148,547-566.
MLA Gong, Fang-Ying,et al."Spatiotemporal patterns of street-level solar radiation estimated using Google Street View in a high-density urban environment".BUILDING AND ENVIRONMENT 148(2019):547-566.
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