The unprecedented outbreak of COVID-19 significantly improved the atmospheric environment for lockdown-imposed regions; however, scant evidence exists on its impacts on regions without lockdown. A novel research framework is proposed to evaluate the long-term monthly spatiotemporal impact of COVID-19 on Taiwan air quality through different statistical analyses, including geostatistical analysis, change detection analysis and identification of nonattainment pollutant occurrence between the average mean air pollutant concentrations from 2018-2019 and 2020, considering both meteorological and public transportation impacts. Contrary to lockdown-imposed regions, insignificant or worsened air quality conditions were observed at the beginning of COVID-19, but a delayed improvement occurred after April in Taiwan. The annual mean concentrations of PM, PM, SO, NO, CO and O in 2020 were reduced by 24%, 18%, 15%, 9.6%, 7.4% and 1.3%, respectively (relative to 2018-2019), and the overall occurrence frequency of nonattainment air pollutants declined by over 30%. Backward stepwise regression models for each air pollutant were successfully constructed utilizing 12 meteorological parameters (R > 0.8 except for SO) to simulate the meteorological normalized business-as-usual concentration. The hybrid single-particle Lagrangian integrated trajectory (HYSPLIT) model simulated the fate of air pollutants ( local emissions or transboundary pollution) for anomalous months. The changes in different public transportation usage volumes ( roadway, railway, air, and waterway) moderately reduced air pollution, particularly CO and NO. Reduced public transportation use had a more significant impact than meteorology on air quality improvement in Taiwan, highlighting the importance of proper public transportation management for air pollution control and paving a new path for sustainable air quality management even in the absence of a lockdown.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9234473PMC
http://dx.doi.org/10.1016/j.jclepro.2022.132893DOI Listing

Publication Analysis

Top Keywords

air quality
20
public transportation
20
air
12
spatiotemporal impact
8
impact covid-19
8
covid-19 taiwan
8
taiwan air
8
absence lockdown
8
lockdown-imposed regions
8
air pollutant
8

Similar Publications

In this comprehensive analysis of Chile's air quality dynamics spanning 2016 to 2021, the utilization of data from the National Air Quality Information System (SINCA) and its network of monitoring stations was undertaken. Quintero, Puchuncaví, and Coyhaique were the focal points of this study, with the primary objective being the construction of predictive models for sulfur dioxide (SO2), fine particulate matter (PM2.5), and coarse particulate matter (PM10).

View Article and Find Full Text PDF

Background: There is an increased prevalence of mental health problems in various population groups as a result of the COVID-19 pandemic and its consequences, especially regarding anxiety, stress, depression, fear, and sleep disturbances, require to be investigated longitudinally.

Objective: This study aimed to determine the impact that the COVID-19 pandemic had on the mental health of Nursing students, as well as to examine other associated factors such as anxiety, fear, sleep disturbances, and coping strategies.

Method: This systematic review and meta-analysis were designed following the PRISMA guidelines and were registered in PROSPERO with code CRD42024541904.

View Article and Find Full Text PDF

Air pollution and breast cancer risk: a Mendelian randomization study.

Int J Environ Health Res

January 2025

Department of Oncology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.

Article Synopsis
  • Previous research on the link between air pollution and breast cancer has shown mixed results, lacking a clear causal relationship.
  • A study using data from genetic analysis showed significant associations between air pollution levels (specifically PM and NO) and increased breast cancer risk, with odds ratios indicating higher risk for affected individuals.
  • The findings suggest that reducing air pollution may help lower breast cancer risk, particularly for specific subtypes like luminal B/HER2-negative-like cancer.
View Article and Find Full Text PDF

Application of active biomonitoring technique for the assessment of air pollution by potentially toxic elements in urban areas in the Kemerovo Region, Russia.

Environ Monit Assess

January 2025

Municipal Budgetary Educational Institution "Lyceum of the City of Yurga", St. Kirova, 7, Yurga, Kemerovo Region, 652055, Russia.

In Kemerovo Region (Kuzbass, Southwest Siberia), there is the largest coal basin in Russia and one of the largest in the world. Active moss biomonitoring was applied to assess the impact of potentially toxic elements on air pollution in five urban areas of the region. In each of the chosen urban regions, the moss bags were exposed in November and December of 2022 at locations with varying degrees of anthropogenic pressure.

View Article and Find Full Text PDF

This research was carried out to assess the concentrations of carbon monoxide (CO) and formaldehyde (HCHO) in Edo State, Southern Nigeria, using remote sensing data. A secondary data collection method was used for the assessment, and the levels of CO and HCHO were extracted annually from Google Earth Engine using information from Sentinel-5-P satellite data (COPERNISCUS/S5P/NRTI/L3_) and processed using ArcMap, Google Earth Engine, and Microsoft Excel to determine the levels of CO and HCHO in the study area from 2018 to 2023. The geometry of the study location is highlighted, saved and run, and a raster imagery file of the study area is generated after the task has been completed with a 'projection and extent' in the Geographic Tagged Image File Format (.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!