scholarly journals Air pollution in the city of Prince George: Chemical analysis of particulate matter (PM2.5) contaminants

2020 ◽  
Author(s):  
◽  
Sahar Ebadzadsahraei
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Chemical Composition ◽  
Road Dust ◽  
Atmospheric Particulate Matter ◽  
Chemical Compositions ◽  
Cobalt Nickel ◽  
The City ◽  
Nickel Manganese ◽  
Pm2.5 Concentration

Air pollution has been an ongoing issue for the City of Prince George, the largest city in northern British Columbia. This research was designed to measure the chemical composition of atmospheric Particulate Matter (PM2.5) in a Prince George neighborhood (i.e., downtown). The main objective of this research was to determine the PM2.5 chemical compositions in two distinct periods: warm and cold. Overall, 153 samples were collected from January to August 2018, using personal air samplers. The highest concentration of PM2.5 was recorded during the 2018 summer wildfires. Chemical composition of the PM2.5 air samples were studied with respect to Cadmium, Potassium, Mercury, Sodium, Lead, Chromium, Iron, Cobalt, Nickel, Manganese, Copper, Titanium, Molybdenum, Phosphorus and Sulphur, in order to evaluate potential sources of air pollutants in the city. The results of this study were compared with PM2.5 averages from other Canadian and international cities. The possibilities of the contribution of some local industrial sources such as pulp and paper, biomass burning, transportation and road dust, on PM2.5 concentration and chemical composition were discussed.

scholarly journals Particulate Matter Management Plan for Prayagraj City Based Upon Emissions

2021 ◽  
Vol 9 (8) ◽  
pp. 2820-2825
Author(s):  
Anmol Sharma
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Fossil Fuels ◽  
Action Plan ◽  
Road Dust ◽  
Ambient Air ◽  
Management Plan ◽  
Vehicular Pollution ◽  
Sources Of Pollution ◽  
The City

Abstract: Air Pollution has become one of the significant factors behind the increase in world-wide mortality rate. There are several reasons behind this increased rate such as rapid growth of industrialization, vehicular pollution accompanied by increase in urbanisation and burning of fossil fuels. This paper presents the proper management and mitigation plan (action plan) of air pollution scenario for the city Prayagraj based upon emissions. Some major air pollutants under consideration in the city of Prayagraj are Particulate Matter (PM10) and particulate matter (PM2.5). There are several prominent sources within and outside prayagraj contributing to PM10 and PM2.5 ambient air; these pollutants can be taken as surrogate of other pollutants also, as most of the pollutants coexist and have common sources. Several major sources of pollution in the city have been noted such as from Domestic, Vehicular Pollution, Road dust, Municipal solid waste (MSW) and Brick kiln. Based upon emissions calculated from these major sources a proper mitigation and management plan has been prepared for the city. Keywords: Air pollution, Particulate Matter, Prayagraj city, Action Plan, Emissions.

scholarly journals Characteristics and Extent of Particulate Matter Emissions of a Ropeway Public Mobility System in the City Center of Perugia (Central Italy)

Atmosphere ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 1356
Author(s):  
Beatrice Moroni ◽  
Stefano Crocchianti ◽  
Federica Bruschi ◽  
Chiara Petroselli ◽  
Alessandro Di Menno di Bucchianico ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Central Italy ◽  
Road Dust ◽  
High Volume ◽  
Atmospheric Particulate Matter ◽  
Aerosol Sampling ◽  
City Center ◽  
Mobility System ◽  
The Impact ◽  
The City

Minimetrò (MM) is a ropeway public mobility system that has been in operation in the city of Perugia for about ten years to integrate with urban mobility and lighten vehicular traffic in the historic city center. The purpose of this work was to evaluate the impact of MM as a source of pollutants in the urban context, and the exposure of people in the cabins and the platforms along the MM line. These topics have been investigated by means of intensive measurement and sampling campaigns performed in February and June 2015 on three specific sites of the MM line representative of different sources and levels of urban pollution. Stationary and dynamic measurements of particle size distribution, nanoparticle and black carbon aerosol number and mass concentrations measurements were performed by means of different bench and portable instruments. Aerosol sampling was carried out using low volume and high-volume aerosol samplers, and the samples nalysed by off-line methods. Results show that MM is a considerable source of atmospheric particulate matter having characteristics very similar to those of the common urban road dust in Perugia. In the lack of clear indications on road dust effect, the contribution of MM to the aerosol in Perugia cannot be neglected.

scholarly journals Assessment of PM10 in Aurangabad City of Central India

2016 ◽  
Vol 5 (2) ◽  
pp. 61-74 ◽  
Author(s):  
Geetanjali Kaushik ◽  
Arvind Chel ◽  
Sangeeta Shinde ◽  
Ashish Gadekar
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Fine Particulate Matter ◽  
Tall Buildings ◽  
Central India ◽  
Air Pollutant ◽  
Traffic Density ◽  
High Pollution ◽  
High Concentrations ◽  
The City

Almost 670 million people comprising 54.5% of our population reside in regions that do not meet the Indian NAAQS for fine particulate matter. Numerous studies have revealed a consistent correlation for particulate matter concentration with health than any other air pollutant. Aurangabad city a rapidly growing city with population of 1.5 million is home to five major industrial areas, the city is also known for its historical monuments which might also be adversely affected from air pollution. Therefore, this research aims at estimating PM10 concentrations at several locations across Aurangabad. The concentration of PM10 was highest at the Railway Station followed by Waluj (an industrial zone) and City chowk is the centre of the city which has high population, tall buildings, few open spaces which causes high congestion and does not allow the particulates to disperse. Other locations with high concentrations of PM are Mill corner, Harsul T-point, Kranti Chowk, Seven Hill, TV centre and Beed Bye pass. All these locations have narrow roads, high traffic density, poor road condition with pot holes and few crossing points which cause congestion and vehicle idling which are responsible for high pollution. Therefore, it is evident that air pollution is a serious issue in the city which may be further aggravated if it is not brought under control. Hence, strategies have to be adopted for combating the menace of air pollution.INTERNATIONAL JOURNAL OF ENVIRONMENTVolume-5, Issue-2, March-May 2016, Page :61-74

scholarly journals Visualization of Correlation for Air Pollution Time Series using TAQMN Data

2019 ◽  
Vol 8 (3) ◽  
pp. 7922-7927
Keyword(s):  
Air Pollution ◽  
Time Series ◽  
Particulate Matter ◽  
Pearson Correlation ◽  
Fine Particulate Matter ◽  
Correlation Method ◽  
Well Being ◽  
Pollution Levels ◽  
Fine Particulate ◽  
Pm2.5 Concentration

In Taiwan country Annan, Chiayi, Giran, and Puzi cities are facing a serious fine particulate matter (PM2.5) issue. To date the impressive advance has been made toward understanding the PM2.5 issue, counting special temporal characterization, driving variables and well-being impacted. However, notable research as has been done on the interaction of the content between the selected cities of Taiwan country for particulate matter (PM2.5) concentration. In this paper, we purposed a visualization technique based on this principle of the visualization, cross-correlation method and also the time-series concentration with particulate matter (PM2.5) for different cities in Taiwan. The visualization also shows that the correlation between the different meteorological factors as well as the different air pollution pollutants for particular cities in Taiwan. This visualization approach helps to determine the concentration of the air pollution levels in different cities and also determine the Pearson correlation, r values of selected cities are Annan, Puzi, Giran, and Wugu.

scholarly journals Novel Coronavirus: How Atmospheric Particulate Affects Our Environment and Health

Challenges ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 6 ◽  
Author(s):  
Luigi Sanità di Toppi ◽  
Lorenzo Sanità di Toppi ◽  
Erika Bellini
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Atmospheric Particulate Matter ◽  
The Novel ◽  
Atmospheric Particulate ◽  
Po Valley ◽  
Pollution Levels ◽  
Syncytial Virus ◽  
Novel Coronavirus ◽  
Prompt Action

It is well-known that atmospheric pollution, first and foremost the particulate matter (PM), causes serious diseases in humans. China’s metropolises and Italy’s Po Valley have in fact achieved a concerning degree of notoriety thanks to runaway air pollution problems. The spread of viral respiratory diseases is facilitated in polluted environments, an example of which is the respiratory syncytial virus bronchiolitis. In this opinion paper, we consider the possible relationship between air pollution, primarily airborne PM10–2.5, and the spread of the novel coronavirus in Northern Italy. If it is true that the novel coronavirus remains active from some hours to several days on various surfaces, it is logical to postulate that the same can occur when it is adsorbed or absorbed by the atmospheric particulate matter, which may also help carry the virus into the human respiratory system. As the Earth presents us with a very high bill to pay, governments and other authorities need to take prompt action to counter excessive pollution levels, both in Italy and in other countries.

scholarly journals First Report on Yield and Chemical Composition of Essential Oil Extracted from Myrcia eximia DC (Myrtaceae) from the Brazilian Amazon

Molecules ◽  
2020 ◽  
Vol 25 (4) ◽  
pp. 783
Author(s):  
Oberdan Oliveira Ferreira ◽  
Jorddy Neves da Cruz ◽  
Celeste de Jesus Pereira Franco ◽  
Sebastião Gomes Silva ◽  
Wanessa Almeida da Costa ◽  
...  
Keyword(s):  
Gas Chromatography ◽  
Chemical Composition ◽  
Essential Oil ◽  
Steam Distillation ◽  
Brazilian Amazon ◽  
Major Constituent ◽  
Chemical Compositions ◽  
Mass Yield ◽  
New Information ◽  
The City

The essential oil (EO) of plants of the Myrtaceae family has diverse chemical composition and several applications. However, data on the oil yield, its composition, and its complete chemistry are still unavailable for some species belonging to this family, such as Myrcia eximia DC. In this study, the chemical compositions of the EOs of Myrcia eximia were evaluated by using gas chromatography (GC) alone and gas chromatography coupled with mass spectrometry (GC–MS). Samples for both evaluations were collected from the city of Magalhães Barata, State of Pará, Brazil, in 2017 and 2018. For the plant material collected in 2017, EO was obtained by hydrodistillation (HD) only, while, for the material collected in 2018, EO was obtained by hydrodistillation and steam distillation (SD), in order to evaluate the differences in chemical composition and mass yield of the EO. The yields of (E)-caryophyllene were 15.71% and 20.0% for the samples collected by HD in 2017 and 2018, respectively, while the yield was 15.0% for the sample collected by SD in 2018. Hexanal was found to be the major constituent in the EO obtained by HD, with yield of up to 26.09%. The oil yields reached 0.08% by using SD, and 0.01% and 0.36% for the samples collected in 2017 and 2018, respectively, using HD. The results of this study provide new information about the mass yield and chemical composition of Myrcia eximia DC, and they can add value and income to traditional populations, as well as facilitate the preservation of this species.

scholarly journals Air Pollution and COVID-19: The Role of Particulate Matter in the Spread and Increase of COVID-19’s Morbidity and Mortality

2020 ◽  
Vol 17 (12) ◽  
pp. 4487 ◽  
Author(s):  
Silvia Comunian ◽  
Dario Dongo ◽  
Chiara Milani ◽  
Paola Palestini
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Close Contact ◽  
Atmospheric Particulate Matter ◽  
World Health ◽  
Angiotensin Converting Enzyme 2 ◽  
Positive Correlation ◽  
Pulmonary Cells ◽  
Health Organization

Sars-Cov-2 virus (COVID-19) is a member of the coronavirus family and is responsible for the pandemic recently declared by the World Health Organization. A positive correlation has been observed between the spread of the virus and air pollution, one of the greatest challenges of our millennium. COVID-19 could have an air transmission and atmospheric particulate matter (PM) could create a suitable environment for transporting the virus at greater distances than those considered for close contact. Moreover, PM induces inflammation in lung cells and exposure to PM could increase the susceptibility and severity of the COVID-19 patient symptoms. The new coronavirus has been shown to trigger an inflammatory storm that would be sustained in the case of pre-exposure to polluting agents. In this review, we highlight the potential role of PM in the spread of COVID-19, focusing on Italian cities whose PM daily concentrations were found to be higher than the annual average allowed during the months preceding the epidemic. Furthermore, we analyze the positive correlation between the virus spread, PM, and angiotensin-converting enzyme 2 (ACE2), a receptor involved in the entry of the virus into pulmonary cells and inflammation.

scholarly journals Study of Air Quality at One of the World’s Most Densely Populated City Dhaka and its Suburban Areas

2019 ◽  
Vol 43 (1) ◽  
pp. 59-66
Author(s):  
Mohammad Lokman Hossain ◽  
Subrata Chandra Roy ◽  
Mithun Chandra Bepari ◽  
Bilkis Ara Begum
Keyword(s):  
Particulate Matter ◽  
Urban Area ◽  
Power Plants ◽  
Winter Season ◽  
Atmospheric Particulate Matter ◽  
Suburban Areas ◽  
Air Sampler ◽  
Pm10 And Pm2.5 ◽  
Academy Of Sciences ◽  
The City

Air borne particulate matter PM10 and PM2.5 were collected by using Mini Vol portable Air Sampler from the world most densely populated city Dhaka and its suburban areas over a period of January through December in 2016. This study revealed a comparison of atmospheric particulate matter (PM) of a highly polluted urban area to its two neighboring areas that accommodate heavy oil based power plants. In all three sites the quantity of PM decreases in summer reaching its lowest level in the month of July, however, it increases significantly in winter season. Despite the presence of the fuel based power plants the average concentrations of PM10 and PM2.5 at the city Dhaka surpasses its two neighbors Manikganj and Nawabganj. Interestingly, PM2.5/PM10 ratio is higher at the suburban areas than urban area. The study shows that for all the sites PM2.5 is approximately twice than that of WHO and USEPA. However, the values of PM2.5 is almost similar for Nawabganj and Manikganj but much higher for the Dhaka city especially during dry season . The Mass concentration of Black Carbon (BC) was also determined from the PM samples from Manikganj and Nawabganj. Journal of Bangladesh Academy of Sciences, Vol. 43, No. 1, 59-66, 2019

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