scholarly journals Spatiotemporal Change of Air-Quality Patterns in Hubei Province—A Pre- to Post-COVID-19 Analysis Using Path Analysis and Regression

Atmosphere ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 1338
Author(s):  
Muhammad Aamir ◽  
Zeyun Li ◽  
Sibghatullah Bazai ◽  
Raja Asif Wagan ◽  
Uzair Aslam Bhatti ◽  
...  
Keyword(s):  
Air Quality ◽  
Path Analysis ◽  
Air Pollutants ◽  
Ambient Air ◽  
Control Measures ◽  
Mitigation Measures ◽  
Analysis Model ◽  
Temporal And Spatial Distribution ◽  
The Government ◽  
The Impact

Mitigation measures and control strategies relating to the novel coronavirus disease 2019 (COVID-19) have been widely applied in many countries to reduce the transmission of this pandemic disease. China was the first country to implement a strong lockdown policy to control COVID-19 when countries worldwide were struggling to manage COVID-19 cases. However, lockdown causes numerous changes to air-quality patterns due to the low amount of traffic and the decreased human mobility it results in. To study the impact of the strict control measures of the new COVID-19 epidemic on the air quality of Hubei in early 2020, the air-quality monitoring data of Hubei’s four cities, namely Huangshi, Yichang, Jingzhou, and Wuhan, from 2019 to 2021, specifically 1 January to 30 August, was examined to analyze the characteristics of the temporal and spatial distribution. All air-quality pollutants decreased during the active-COVID-19 period, with a maximum decrease of 26% observed in PM10, followed by 23% of PM2.5, and a minimum decrease of 5% observed in O3. Changes in air pollutants from 2017 to 2021 were also compared, and a decrease in all pollutants through to 2020 was found. The air-quality index (AQI) recorded an increase of 2% post-COVID-19, which shows that air quality will worsen in future, but it decreased by 22% during the active-COVID-19 period. A path analysis model was developed to further understand the relationship between the AQI and air-quality patterns. This path analysis shows a strong correlation between the AQI and PM10 and PM2.5, however its correlation with other air pollutants is weak. Regression analysis shows a similar pattern of there being a strong relationship between AQI and PM10 (r2 = 0.97) and PM2.5 (r2 = 0.93). Although the COVID-19 pandemic had numerous negative effects on human health and the global economy, it is likely that the reduction in air pollution and the significant improvement in ambient air quality due to lockdowns provided substantial short-term health benefits. The government must implement policies to control the environmental issues which are causing poor air quality in post-COVID-19.

Polyalthia longifolia (False Ashoka) is an ideal choice for better air quality at kerbside locations

2020 ◽  
Author(s):  
Vidit Parkar ◽  
Savita Datta ◽  
Haseeb Hakkim ◽  
Ashish Kumar ◽  
Muhammed Shabin ◽  
...  
Keyword(s):  
Air Quality ◽  
Stomatal Conductance ◽  
Atmospheric Chemistry ◽  
Air Pollutants ◽  
Ambient Air ◽  
Area Index ◽  
Mixing Ratios ◽  
Post Monsoon ◽  
Polyalthia Longifolia ◽  
The Impact

<p>Tropospheric ozone is a major pollutant and it is harmful for humans at sustained exposures of 40 ppb or more in ambient air. In this study we calibrate the deposition of ozone for stomatal exchange (DO<sub>3</sub>SE) model for <em>Polyalthia longifolia</em> (False Ashoka), a tree that accounts for 5-20% of the urban plantations in Indian cities and subsequently use the model to estimate not only the stomatal O<sub>3</sub> uptake by this tree but also its capability to sequester other criteria air pollutants. We discuss the impact of planting this tree on ozone precursors NOx and VOCs in a roadside plantation scenario for mitigating air pollution.</p><p>Stomatal conductance of <em>Polyalthia longifolia</em> was measured, using a SC-1 Leaf Porometer, at IISER Mohali-Punjab in the NW-IGP (Northwest Indo-Gangetic Plane) which has a sub-tropical dry climate. Stomatal conductance was measured during all the four (Summer, Monsoon, Post-Monsoon, Winter) seasons, while BVOC emission fluxes were quantified using a dynamic plant cuvette during post monsoon, winter and summer season. We use ambient mixing ratios of ozone, NO, NO<sub>2</sub>, SO<sub>2</sub> and O<sub>3 </sub>in combination with the meteorological parameters such as temperature, RH, soil moisture and photosynthetically active radiation (PAR) from the IISER Mohali Atmospheric chemistry facility to quantify <em>Polyalthia longifolia</em> roadside plantations’ impact on urban air quality through stomatal uptake of air pollutants (primarily NO, NO<sub>2</sub> and O<sub>3</sub>) and BVOC emissions. <em>Polyalthia longifolia</em> displays a number of very interesting characteristics that include being a low isoprene and monoterpene emitter, having an extremely high leaf area index thanks to its height, straight shape and dense canopy. It displays extreme resistance to drought and high vapour pressure deficits in summer allowing stomatal uptake of pollutants and evaporative cooling to continue even under unfavourable meteorological conditions.</p>

scholarly journals Selected air pollutants in urban and rural areas, under the influence of power plants

2018 ◽  
pp. 41-52 ◽  
Author(s):  
Robert Cichowicz ◽  
Artur Stelegowski
Keyword(s):  
Air Quality ◽  
Rural Areas ◽  
Air Pollutants ◽  
Power Plants ◽  
Ambient Air ◽  
So2 Emissions ◽  
Large Power ◽  
Power Stations ◽  
Urban And Rural Areas ◽  
The Impact

The operation of large power plants, including power stations, and combined heat and power stations, causes the emission of significant amounts of gaseous pollutants into the environment. As a result, in the urban and agricultural areas occurs a pollution of undesirable gaseous substances, such as nitrogen and sulfur oxides. This is especially dangerous for living organisms, soil and water, because, in combination with water vapor, these pollutants are the cause of acid rain. In addition, nitrogen oxides participate in the formation of ground-level ozone, which affects both human health and the condition of existing vegetation. Therefore, the distribution of air pollutants (NO2, SO2 and O3) in the selected urban and rural areas, under the influence of power plants, located in the Lodz Voivodeship, in Poland, in Central-Eastern Europe, was analyzed for a 10-year period (2007–2016). As a result, it was possible to evaluate the impact of the entry into force of Directive 2008/50/EC of the European Parliament and of the Council of 21 May 2008 “on ambient air quality and cleaner air for Europe” on the changes in emissions and concentrations of pollutants in selected locations. As a result of the analysis, a significant decrease in the concentration of SO2 (by 75% in the urban area and by 59% in the rural area), and small changes (from - 8% to + 12%) in NO2 and O3 concentrations in ambient air were found. This indicates the effectiveness of actions aimed at reducing SO2 emissions, however the influence of the power plants on the concentration of air pollutants in these areas is not clear. At the same time, considering the criterion of permissible concentration of ozone and nitrogen dioxide, although the air quality did not improve, the air quality index can be considered as being in the category of "good".

scholarly journals Uncertainty in the Impact of the COVID-19 Pandemic on Air Quality in Hong Kong, China

Atmosphere ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 914 ◽  
Author(s):  
Yuhan Huang ◽  
John Zhou ◽  
Yang Yu ◽  
Wai-chuen Mok ◽  
Casey Lee ◽  
...  
Keyword(s):  
Hong Kong ◽  
Air Quality ◽  
Seasonal Variations ◽  
Control Measure ◽  
Ambient Air ◽  
Control Measures ◽  
Quality Monitoring ◽  
Monitoring Data ◽  
Air Quality Monitoring ◽  
The Impact

Strict social distancing rules are being implemented to stop the spread of COVID-19 pandemic in many cities globally, causing a sudden and extreme change in the transport activities. This offers a unique opportunity to assess the effect of anthropogenic activities on air quality and provides a valuable reference to the policymakers in developing air quality control measures and projecting their effectiveness. In this study, we evaluated the effect of the COVID-19 lockdown on the roadside and ambient air quality in Hong Kong, China, by comparing the air quality monitoring data collected in January–April 2020 with those in 2017–2019. The results showed that the roadside and ambient NO2, PM10, PM2.5, CO and SO2 were generally reduced in 2020 when comparing with the historical data in 2017–2019, while O3 was increased. However, the reductions during COVID-19 period (i.e., February–April) were not always higher than that during pre-COVID-19 period (i.e., January). In addition, there were large seasonal variations in the monthly mean pollutant concentrations in every year. This study implies that one air pollution control measure may not generate obvious immediate improvements in the air quality monitoring data and its effectiveness should be evaluated carefully to eliminate the effect of seasonal variations.

scholarly journals Assessment of the Effects of the Spanish National Air Pollution Control Programme on Air Quality

Atmosphere ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 158 ◽  
Author(s):  
Marta G. Vivanco ◽  
Juan Luis Garrido ◽  
Fernando Martín ◽  
Mark R. Theobald ◽  
Victoria Gil ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Urban Areas ◽  
Transport Model ◽  
Ambient Air ◽  
Control Programme ◽  
Mitigation Measures ◽  
Nox Emissions ◽  
Air Pollution Control ◽  
The Impact

During the last few decades, European legislation has driven progress in reducing air pollution in Europe through emission mitigation measures. In this paper, we use a chemistry transport model to assess the impact on ambient air quality of the measures considered for 2030 in the for the scenarios with existing (WEM2030) and additional measures (WAM2030). The study estimates a general improvement of air quality for the WAM2030 scenario, with no non-compliant air quality zones for NO2, SO2, and PM indicators. Despite an improvement for O3, the model still estimates non-compliant areas. For this pollutant, the WAM2030 scenario leads to different impacts depending on the indicator considered. Although the model estimates a reduction in maximum hourly O3 concentrations, small increases in O3 concentrations in winter and nighttime in the summer lead to increases in the annual mean in some areas and increases in other indicators (SOMO35 for health impacts and AOT40 for impacts on vegetation) in some urban areas. The results suggest that the lower NOx emissions in the WEM and WAM scenarios lead to less removal of O3 by NO titration, especially background ozone in winter and both background and locally produced ozone in summer, in areas with high NOx emissions.

scholarly journals IMPACT OF URBAN LAND USES AND ACTIVITES ON THE AMBIENT AIR QUALITY IN KLANG VALLEY, MALAYSIA FROM 2014 TO 2020

2020 ◽  
Vol 18 (14) ◽  
Author(s):  
Oliver Hoon Leh Ling ◽  
Marlyana Azyyati Marzukhi ◽  
Jie Kwong Qi ◽  
Nurul Ashikin Mabahwi
Keyword(s):  
Air Quality ◽  
Urban Areas ◽  
Air Pollutants ◽  
Ambient Air ◽  
Air Pollutant ◽  
Land Uses ◽  
Ambient Air Quality ◽  
Residential Areas ◽  
Klang Valley ◽  
The Impact

Ambient air in the urban area normally is more polluted than less developed areas. This is due to the concentration of urban activities, such as industrial, transportations and commercial or business activities. A study about the impact of urban land uses and activities on the levels of air pollutants in Malaysia’s most urbanised and most developed region that is Klang Valley was conducted. Data of Air Pollutant Index (API) and average concentration of selected air pollutants were used to analyse the ambient air quality of the selected five (5) cities or towns in Klang Valley. The air quality condition of the five (5) cities or towns were related to the land use distributions of the cities or towns with a purpose to understand the impact of land uses on the ambient air quality. Furthermore, the changes of ambient air quality before and after Movement Control Order (MCO) were analysed to examine the impact of human activity changes on the ambient air quality. The study found that a city or a town with more industrial and transportation land uses with fewer greens was more polluted than the area with less industrial and transportation land uses with more greens. However, this finding did not apply to all areas due to effect of winds on the distribution of air pollutants. Besides that, because of MCO, most people stayed at home with the mode of “work from home” that caused air pollutant levels in urban areas to decrease due to less urban activities. Nevertheless, there was a risk of an increase in air pollution levels in residential areas due to the concentration of activities, especially driving motor vehicles in residential areas. A recommendation is given to encourage “work from home” and reduce dependency on auto-mobile in residential areas in order to improve the air quality in urban areas.

Characterizing the effectiveness of COVID-19 mitigation measures: A data-centric approach (Preprint)

2020 ◽  
Author(s):  
Lukman Olagoke ◽  
Ahmet E. Topcu
Keyword(s):  
Control Measure ◽  
Control Measures ◽  
World Health ◽  
Mitigation Measures ◽  
Effective Control ◽  
The World ◽  
Decision Making Processes ◽  
And Performance ◽  
Health Organization ◽  
The Impact

BACKGROUND COVID-19 represents a serious threat to both national health and economic systems. To curb this pandemic, the World Health Organization (WHO) issued a series of COVID-19 public safety guidelines. Different countries around the world initiated different measures in line with the WHO guidelines to mitigate and investigate the spread of COVID-19 in their territories. OBJECTIVE The aim of this paper is to quantitatively evaluate the effectiveness of these control measures using a data-centric approach. METHODS We begin with a simple text analysis of coronavirus-related articles and show that reports on similar outbreaks in the past strongly proposed similar control measures. This reaffirms the fact that these control measures are in order. Subsequently, we propose a simple performance statistic that quantifies general performance and performance under the different measures that were initiated. A density based clustering of based on performance statistic was carried out to group countries based on performance. RESULTS The performance statistic helps evaluate quantitatively the impact of COVID-19 control measures. Countries tend show variability in performance under different control measures. The performance statistic has negative correlation with cases of death which is a useful characteristics for COVID-19 control measure performance analysis. A web-based time-line visualization that enables comparison of performances and cases across continents and subregions is presented. CONCLUSIONS The performance metric is relevant for the analysis of the impact of COVID-19 control measures. This can help caregivers and policymakers identify effective control measures and reduce cases of death due to COVID-19. The interactive web visualizer provides easily digested and quick feedback to augment decision-making processes in the COVID-19 response measures evaluation. CLINICALTRIAL Not Applicable

scholarly journals The impact of measures to reduce ambient air PM<sub>10</sub> concentrations originating from road dust, evaluated for a street canyon in Helsinki

2019 ◽  
Vol 19 (17) ◽  
pp. 11199-11212 ◽  
Author(s):  
Ana Stojiljkovic ◽  
Mari Kauhaniemi ◽  
Jaakko Kukkonen ◽  
Kaarle Kupiainen ◽  
Ari Karppinen ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Air Quality ◽  
Street Canyon ◽  
Dust Emission ◽  
Road Dust ◽  
Ambient Air ◽  
Air Quality Measurements ◽  
Emission Models ◽  
The Impact ◽  
Quality Measurements

Abstract. We have numerically evaluated how effective selected potential measures would be for reducing the impact of road dust on ambient air particulate matter (PM10). The selected measures included a reduction of the use of studded tyres on light-duty vehicles and a reduction of the use of salt or sand for traction control. We have evaluated these measures for a street canyon located in central Helsinki for four years (2007–2009 and 2014). Air quality measurements were conducted in the street canyon for two years, 2009 and 2014. Two road dust emission models, NORTRIP (NOn-exhaust Road TRaffic Induced Particle emissions) and FORE (Forecasting Of Road dust Emissions), were applied in combination with the Operational Street Pollution Model (OSPM), a street canyon dispersion model, to compute the street increments of PM10 (i.e. the fraction of PM10 concentration originating from traffic emissions at the street level) within the street canyon. The predicted concentrations were compared with the air quality measurements. Both road dust emission models reproduced the seasonal variability of the PM10 concentrations fairly well but under-predicted the annual mean values. It was found that the largest reductions of concentrations could potentially be achieved by reducing the fraction of vehicles that use studded tyres. For instance, a 30 % decrease in the number of vehicles using studded tyres would result in an average decrease in the non-exhaust street increment of PM10 from 10 % to 22 %, depending on the model used and the year considered. Modelled contributions of traction sand and salt to the annual mean non-exhaust street increment of PM10 ranged from 4 % to 20 % for the traction sand and from 0.1 % to 4 % for the traction salt. The results presented here can be used to support the development of optimal strategies for reducing high springtime particulate matter concentrations originating from road dust.

scholarly journals Assessment of the contribution of TEX air pollutants from Nigeria’s petroleum refineries to the ambient air quality: Part II

2021 ◽  
Vol 8 (1) ◽  
pp. 1947007
Author(s):  
Ebenezer Leke Odekanle ◽  
Chinchong Blessing Bakut ◽  
Abiodun Paul Olalekan ◽  
Roseline Oluwaseun Ogundokun ◽  
Charity O. Aremu ◽  
...  
Keyword(s):  
Air Quality ◽  
Air Pollutants ◽  
Ambient Air ◽  
Ambient Air Quality ◽  
Petroleum Refineries

scholarly journals Effectiveness of SOx, NOx, and Primary Particulate Matter Control Strategies in the Improvement of Ambient PM Concentration in Taiwan

Atmosphere ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 460
Author(s):  
Jiun-Horng Tsai ◽  
Ming-Ye Lee ◽  
Hung-Lung Chiang
Keyword(s):  
Particulate Matter ◽  
Air Quality ◽  
Model Simulation ◽  
Control Strategies ◽  
Ambient Air ◽  
Clean Air Act ◽  
Control Measures ◽  
Control Plan ◽  
Clean Air ◽  
Pm2.5 Concentration

The Community Multiscale Air Quality (CMAQ) measurement was employed for evaluating the effectiveness of fine particulate matter control strategies in Taiwan. There are three scenarios as follows: (I) the 2014 baseline year emission, (II) 2020 emissions reduced via the Clean Air Act (CAA), and (III) other emissions reduced stringently via the Clean Air Act. Based on the Taiwan Emission Data System (TEDs) 8.1, established in 2014, the emission of particulate matter 2.5 (PM2.5) was 73.5 thousand tons y−1, that of SOx was 121.3 thousand tons y−1, and that of NOx was 404.4 thousand tons y−1 in Taiwan. The CMAQ model simulation indicated that the PM2.5 concentration was 21.9 μg m−3. This could be underestimated by 24% in comparison with data from the ambient air quality monitoring stations of the Taiwan Environmental Protection Administration (TEPA). The results of the simulation of the PM2.5 concentration showed high PM2.5 concentrations in central and southwestern Taiwan, especially in Taichung and Kaohsiung. Compared to scenario I, the average annual concentrations of PM2.5 for scenario II and scenario III showed reductions of 20.1% and 28.8%, respectively. From the results derived from the simulation, it can be seen that control of NOx emissions may improve daily airborne PM2.5 concentrations in Taiwan significantly and control of directly emitted PM2.5 emissions may improve airborne PM2.5 concentrations each month. Nevertheless, the results reveal that the preliminary control plan could not achievethe air quality standard. Therefore, the efficacy and effectiveness of the control measures must be considered to better reduce emissions in the future.

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