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The Correlation Analysis between Air Quality and Construction Sites: Evaluation in the Urban Environment during the COVID-19 Pandemic

doi: 10.3390/su14127075
This research studies the data on air quality and construction activities from 29 January 2020 to 30 April 2020. The analysis focuses on three sample districts of Hangzhou’s Xiacheng, Gongshu, and Xiaoshan districts. The samples, respectively, represent low-level, mid-level, and high-level districts in the scale of construction projects. The correlative relationships are investigated, respectively, in the periods of ‘pandemic lockdown (29 January 2020–20 February 2020)’ and ‘after pandemic lockdown (21 February 2020–30 April 2020)’. The correlative equations are obtained. Based on the guideline values of air parameters provided by the Chinese criteria and standards, the recommended maximum scales of construction projects are defined. The numbers of construction sites are 16, 118, and 311 for the Xiacheng, Gongshu, and Xiaoshan districts during the imposed lockdown period, respectively, and 19, 88, 234, respectively, after the lockdown period. Because the construction site is only one influential factor on the air quality, and the database is not large enough, there are some limitations in the mathematical model and the management plan. Possible problem solving techniques and future studies are introduced at the end of the research study.
- Southeast University China (People's Republic of)
- UNIVERSITY COLLEGE LONDON United Kingdom
- University College of London United Kingdom
- Hiroshima University Japan
- Mays Cancer Center at UT Health San Antonio United States
building construction sites, Environmental effects of industries and plants, air quality index, COVID-19, TJ807-830, city management; air quality index; COVID-19; building construction sites; lockdown; regression analysis, city management, TD194-195, regression analysis, Renewable energy sources, lockdown, Environmental sciences, GE1-350
building construction sites, Environmental effects of industries and plants, air quality index, COVID-19, TJ807-830, city management; air quality index; COVID-19; building construction sites; lockdown; regression analysis, city management, TD194-195, regression analysis, Renewable energy sources, lockdown, Environmental sciences, GE1-350
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