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

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

Li, Haoran, Cheshmehzangi, Ali, Zhang, Zhiang, Su, Zhaohui, Ardakani, Saeid Pourroostaei, Sedrez, Maycon and Dawodu, Ayotunde ORCID logoORCID: https://orcid.org/0000-0002-2241-5894 (2022) The Correlation Analysis between Air Quality and Construction Sites: Evaluation in the Urban Environment during the COVID-19 Pandemic. Sustainability, 14 (12). ISSN 2071-1050 (doi:10.3390/su14127075)

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: city management, air quality index, covid-19; building construction sites, lockdown, regression analysis
Subjects: Q Science > Q Science (General)
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science
Last Modified: 14 Apr 2023 15:12
URI: http://gala.gre.ac.uk/id/eprint/41713

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