scholarly journals COMPREHENSIVE ASSESSMENT OF THE IMPACT OF THE MAIN SOURCES OF EMISSIONS OF POLLUTANTS ON THE AIR QUALITY OF THE KUIBYSHEVSKY DISTRICT OF SAMARA

Human Ecology ◽  
2021 ◽  
pp. 56-64
Author(s):  
Yu. V. Myakisheva ◽  
N. A. Mikhailuk ◽  
I. V. Fedoseykina ◽  
Yu. A. Halitova ◽  
A. I. Dudina
Keyword(s):  
Air Quality ◽  
Comprehensive Assessment ◽  
The Impact

scholarly journals Avoided Mortality Associated with Improved Air Quality from an Increase in Renewable Energy in the Spanish Transport Sector: Use of Biofuels and the Adoption of the Electric Car

Atmosphere ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1603
Author(s):  
Ana R. Gamarra ◽  
Yolanda Lechón ◽  
Marta G. Vivanco ◽  
Mark Richard Theobald ◽  
Carmen Lago ◽  
...  
Keyword(s):  
Air Quality ◽  
Health Impact ◽  
Air Pollutant ◽  
Transport Sector ◽  
Population Exposure ◽  
Baseline Scenario ◽  
Premature Deaths ◽  
Electric Car ◽  
The Impact

This paper assesses the health impact, in terms of the reduction of premature deaths associated with changes in air pollutant exposure, resulting from double-aim strategies for reducing emissions of greenhouse gases and air pollutants from the transport sector for the year 2030 in Spain. The impact on air quality of selected measures for reducing emissions from the transport sector (increased penetration of biofuel and electric car use) was assessed by air quality modeling. The estimation of population exposure to NO2, particulate matter (PM) and O3 allows for estimation of associated mortality and external costs in comparison with the baseline scenario with no measures. The results show that the penetration of the electric vehicle provided the largest benefits, even when the emissions due to the additional electricity demand were considered.

The impact assessment of Diwali fireworks emissions on the air quality of a tropical urban site, Hyderabad, India, during three consecutive years

2013 ◽  
Vol 185 (9) ◽  
pp. 7309-7325 ◽  
Author(s):  
Venkata Swamy Yerramsetti ◽  
Anu Rani Sharma ◽  
Nikhil Gauravarapu Navlur ◽  
Venkanna Rapolu ◽  
N. S. K. Chitanya Dhulipala ◽  
...  
Keyword(s):  
Air Quality ◽  
Impact Assessment ◽  
Urban Site ◽  
The Impact

Quantifying the impact of traffic-related air pollution on the indoor air quality of a naturally ventilated building

2016 ◽  
Vol 89-90 ◽  
pp. 138-146 ◽  
Author(s):  
Zheming Tong ◽  
Yujiao Chen ◽  
Ali Malkawi ◽  
Gary Adamkiewicz ◽  
John D. Spengler
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
The Impact

scholarly journals Impact on Air Quality of the COVID-19 Lockdown in the Urban Area of Palermo (Italy)

2020 ◽  
Vol 17 (20) ◽  
pp. 7375 ◽  
Author(s):  
Marcello Vultaggio ◽  
Daniela Varrica ◽  
Maria Grazia Alaimo
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Urban Area ◽  
Human Mobility ◽  
Infected People ◽  
National Crisis ◽  
Global Pandemic ◽  
Pm 10 ◽  
The Impact

At the end of 2019, the first cases of coronavirus disease (COVID-19) were reported in Wuhan, China. Thereafter, the number of infected people increased rapidly, and the outbreak turned into a national crisis, with infected individuals all over the country. The COVID-19 global pandemic produced extreme changes in human behavior that affected air quality. Human mobility and production activities decreased significantly, and many regions recorded significant reductions in air pollution. The goal of our investigation was to evaluate the impact of the COVID-19 lockdown on the concentrations of the main air pollutants in the urban area of Palermo (Italy). In this study, the trends in the average concentrations of CO, NO2, O3, and PM10 in the air from 1 January 2020 to 31 July 2020 were compared with the corresponding average values detected at the same monitoring stations in Palermo during the previous five years (2015–2019). During the lockdown period (10 March–30 April), we observed a decrease in the concentrations of CO, NO2, and particulate matter (PM)10, calculated to be about 51%, 50%, and 45%, respectively. This confirms that air pollution in an urban area is predominantly linked to vehicular traffic.

scholarly journals Positive effects of COVID-19 lockdown on air quality of industrial cities (Ankleshwar and Vapi) of Western India

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ritwik Nigam ◽  
Kanvi Pandya ◽  
Alvarinho J. Luis ◽  
Raja Sengupta ◽  
Mahender Kotha
Keyword(s):  
Air Quality ◽  
Meta Analysis ◽  
Linear Regression Analysis ◽  
Quality Data ◽  
Western India ◽  
Rapid Reduction ◽  
Positive Effects ◽  
Pollutant Concentrations ◽  
The Impact

AbstractOn January 30, 2020, India recorded its first COVID-19 positive case in Kerala, which was followed by a nationwide lockdown extended in four different phases from 25th March to 31st May, 2020, and an unlock period thereafter. The lockdown has led to colossal economic loss to India; however, it has come as a respite to the environment. Utilizing the air quality index (AQI) data recorded during this adverse time, the present study is undertaken to assess the impact of lockdown on the air quality of Ankleshwar and Vapi, Gujarat, India. The AQI data obtained from the Central Pollution Control Board was assessed for four lockdown phases. We compared air quality data for the unlock phase with a coinciding period in 2019 to determine the changes in pollutant concentrations during the lockdown, analyzing daily AQI data for six pollutants (PM10, PM2.5, CO, NO2, O3, and SO2). A meta-analysis of continuous data was performed to determine the mean and standard deviation of each lockdown phase, and their differences were computed in percentage in comparison to 2019; along with the linear correlation analysis and linear regression analysis to determine the relationship among the air pollutants and their trend for the lockdown days. The results revealed different patterns of gradual to a rapid reduction in most of the pollutant concentrations (PM10, PM2.5, CO, SO2), and an increment in ozone concentration was observed due to a drastic reduction in NO2 by 80.18%. Later, increases in other pollutants were also observed as the restrictions were eased during phase-4 and unlock 1. The comparison between the two cities found that factors like distance from the Arabian coast and different industrial setups played a vital role in different emission trends.

scholarly journals Legal aspects of the resolutions determining the acceptable types and quality of fuels under Polish legislation

2019 ◽  
Vol 30 (3) ◽  
pp. 23-28
Author(s):  
Kinga Makuch
Keyword(s):  
Air Pollution ◽  
Quality Improvement ◽  
Air Quality ◽  
Human Health ◽  
Negative Impact ◽  
Legal Aspects ◽  
Local Authorities ◽  
Air Quality Improvement ◽  
The Impact

Abstract The article focuses on the selected aspects of introducing a resolution by a self-government of a province, which allows to determine the acceptable types and quality of fuels. The impact of polluted air on human health is significant. The actions carried out by the local authorities should be aimed on seeking effective air protection remedies; nonetheless, the scale of these activities seems to be still insignificant. One of the legal mechanisms is introducing resolutions determining the acceptable types and quality of fuels by a self-government of a province in order to protect the health of Polish residents and reduce the negative impact of air pollution on the environment. The question, however, is whether such resolutions could be audited with respect to the execution of such a resolution and whether they effectively lead to air quality improvement.

scholarly journals Prediction of Environmental Pollution Using Hybrid PSO-K-Means Approach

2021 ◽  
Vol 12 (2) ◽  
pp. 65-76
Author(s):  
Manish Mahajan ◽  
Santosh Kumar ◽  
Bhasker Pant
Keyword(s):  
Air Quality ◽  
Environmental Pollution ◽  
Productivity Loss ◽  
Hybrid Approach ◽  
Quality Data ◽  
Quality Prediction ◽  
Clustering Methods ◽  
Air Quality Prediction ◽  
The Impact

Air pollution is increasing day by day, decreasing the world economy, degrading the quality of life, and resulting in a major productivity loss. At present, this is one of the most critical problems. It has a significant impact on human health and ecosystem. Reliable air quality prediction can reduce the impact it has on the nearby population and ecosystem; hence, improving air quality prediction is the prime objective for the society. The air quality data collected from sensors usually contains deviant values called outliers which have a significant detrimental effect on the quality of prediction and need to be detected and eliminated prior to decision making. The effectiveness of the outlier detection method and the clustering methods in turn depends on the effective and efficient choice of parameters like initial centroids and number of clusters, etc. The authors have explored the hybrid approach combining k-means clustering optimized with particle swarm optimization (PSO) to optimize the cluster formation, thereby improving the efficiency of the prediction of the environmental pollution.

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