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Implications for air quality management of changes in air quality during lockdown in Auckland (New Zealand) in response to the 2020 SARS-CoV-2 epidemic.
Patel, Hamesh; Talbot, Nick; Salmond, Jennifer; Dirks, Kim; Xie, Shanju; Davy, Perry.
  • Patel H; School of Environment, Faculty of Science, University of Auckland, Private Bag 92019, Auckland, New Zealand. Electronic address: hamesh.patel@auckland.ac.nz.
  • Talbot N; School of Environment, Faculty of Science, University of Auckland, Private Bag 92019, Auckland, New Zealand.
  • Salmond J; School of Environment, Faculty of Science, University of Auckland, Private Bag 92019, Auckland, New Zealand.
  • Dirks K; Department of Civil and Environmental Engineering, Faculty of Engineering, University of Auckland, Private Bag 92019, Auckland, New Zealand.
  • Xie S; Auckland Council, Private Bag 92300, Victoria Street West, Auckland, New Zealand.
  • Davy P; Institute of Geological and Nuclear Sciences, 30 Gracefield Road, Lower Hutt, New Zealand.
Sci Total Environ ; 746: 141129, 2020 Dec 01.
Article in English | MEDLINE | ID: covidwho-676570
ABSTRACT
The current changes in vehicle movement due to 'lockdown' conditions (imposed in cities worldwide in response to the COVID-19 epidemic) provide opportunities to quantify the local impact of 'controlled interventions' on air quality and establish baseline pollution concentrations in cities. Here, we present a case study from Auckland, New Zealand, an isolated Southern Hemisphere city, which is largely unaffected by long-range pollution transport or industrial sources of air pollution. In this city, traffic flows reduced by 60-80% as a result of a government-led initiative to contain the virus by limiting all transport to only essential services. In this paper, ambient pollutant concentrations of NO2, O3, BC, PM2.5, and PM10 are compared between the lockdown period and comparable periods in the historical air pollution record, while taking into account changes in the local meteorology. We show that this 'natural experiment' in source emission reductions had significant but non-linear impacts on air quality. While emission inventories and receptor modelling approaches confirm the dominance of traffic sources for NOx (86%), and BC (72%) across the city, observations suggest a consequent reduction in NO2 of only 34-57% and a reduction in BC of 55-75%. The observed reductions in PM2.5 (still likely to be dominated by traffic emissions), and PM10 (dominated by sea salt, traffic emissions to a lesser extent, and affected by seasonality) were found to be significantly less (8-17% for PM2.5 and 7-20% for PM10). The impact of this unplanned controlled intervention shows the importance of establishing accurate, local-scale emission inventories, and the potential of the local atmospheric chemistry and meteorology in limiting their accuracy.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Severe Acute Respiratory Syndrome / Air Pollutants / Air Pollution / Pandemics Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Country/Region as subject: Oceania Language: English Journal: Sci Total Environ Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Severe Acute Respiratory Syndrome / Air Pollutants / Air Pollution / Pandemics Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Country/Region as subject: Oceania Language: English Journal: Sci Total Environ Year: 2020 Document Type: Article