Air quality analysis for a metropolitan area in Romania during the first half of 2021

This paper aims to interpret and to use within a statistical analysis the concentration profiles of the main air pollutants – i.e., nitrogen oxides (NOx), sulfur dioxide (SO2), carbon monoxide (CO) and suspended particulate matter (PM10) – results recorded during the first half of 2021 by two air quality monitoring stations in Craiova, which is an important metropolitan area in Southern Romania. Another goal of the paper is finding the best numerical diffusion model to fit the recorded values for PM10, as this pollutant seems to be the major problem, because its daily average is often higher than the European Union threshold, meaning that imperative measures have to be taken for reducing particulate matter concentration in Craiova (like in other major Romanian metropolitan areas), in order for Romania to get the exoneration regarding air pollution from the European Union and, of course, for its citizens to improve the quality of their lives.

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Evaluation of the changes in the Madrid metropolitan area influencing air quality: Analysis of 1999–2008 temporal trend of particulate matter

Atmospheric Environment ◽

10.1016/j.atmosenv.2012.04.026 ◽

2012 ◽

Vol 57 ◽

pp. 175-185 ◽

Cited By ~ 32

Author(s):

P. Salvador ◽

B. Artíñano ◽

M. Viana ◽

A. Alastuey ◽

X. Querol

Keyword(s):

Particulate Matter ◽

Air Quality ◽

Metropolitan Area ◽

Temporal Trend ◽

Quality Analysis

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KORELACJA ZMIAN STĘŻEŃ PYŁÓW ZAWIESZONYCH PM10 Z TYPAMI CYRKULACJI ATMOSFERYCZNEJ W KONINIE W LATACH 2012–2016

Badania Fizjograficzne nad Polska Zachodnia ◽

10.14746/bfg.2018.9.5 ◽

1970 ◽

pp. 45-64

Author(s):

Kaja Karczewska ◽

Leszek Kolendowicz ◽

Marek Półrolniczak ◽

Hanna Forycka–Ławniczak

Keyword(s):

Particulate Matter ◽

Atmospheric Circulation ◽

Suspended Particulate Matter Concentration ◽

Particulate Matter Concentration ◽

Suspended Particulate ◽

Hourly Data ◽

Matter Concentration ◽

Positive Effect

The subject of the paper is the influence of atmospheric circulation on the content of suspended PM10 in the air in Konin. For this purpose dust concentrations from the period 2012–2016 were generally characterized. PM10 particulate matter concentration average hourly data were obtained from the Main Inspectorate of Environmental Protection website. Based on these data, long-term, seasonal and daily changes in the PM10 concentration in the atmosphere were investigated. The study analysed the daily variability of the PM10 suspended particulate matter concentration to present seasonal differences (in hot and cold seasons). In order to determine the influence of atmospheric circulation on the PM10 particulate matter concentration, the concentration levels data were compared with the types of circulation prevailing on the same day. In this study according to synoptic maps the days with maximum and minimum concentrations PM levels were analysed. It was found which type of meteorological circulation is conducive to higher levels concentrations of particulate matter PM10, and which has a positive effect on the quality of the air in Konin.

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A Comparative Study between Pre-construction and Construction Phases of Champhai-Zokhawthar Road Construction, Mizoram: Air Quality and Noise Quality Assessments

Science & Technology Journal ◽

10.22232/stj.2019.07.01.07 ◽

2019 ◽

Vol 7 (1) ◽

pp. 47-53

Author(s):

Lalven tluanga ◽

◽

H. Lalramnghinglova

Keyword(s):

Economic Growth ◽

Particulate Matter ◽

Air Quality ◽

Comparative Study ◽

Noise Level ◽

Road Construction ◽

Suspended Particulate ◽

The Mean ◽

Negative Impacts

In recent years, Mizoram has made immense progress in various sectors and initiated developmental programmes for its economic growth. An important contributing factor to this development and growth is the transport connectivity projects. Although connectivity projects can boost economic growth, its negative effects cannot be neglected. In view of this, the present research studies the impacts of Champhai – Zokhawthar road construction on the air quality and noise quality of the region. This comparative study of the impact on the quality of air and noise pollution in the pre-construction phase and construction phase provide a clear-cut example of the negative impacts caused by road construction and provide a fresh outlook for formulation of improved management plans. Air quality assessment was carried out using High Volume Air Sampler and the following parameters were monitored – suspended particulate matter (SPM), respirable suspended particulate matter (RSPM), nitrogen dioxide (NO2) and sulphur dioxide (SO2). The results indicate that mean SPM concentration was increased by 22.82 µg/m3; RSPM concentration by 14.67 µg/m3; NO2 concentration by 4.08 µg/m3; and SO2 concentration was increased by 0.06 µg/m3 from the pre-construction phase to construction phase. Noise quality assessment was carried out at three sites – Zotlang, Melbuk and Zokhawthar by using Lutron SL-4001 Sound Level Meter and Leq, Lmax and Lmin were recorded and calculated. The mean noise level at Zotlang wasincreased by 8.72 dB (A) and at Melbuk the mean noise level was increased by 9.35 dB (A). However, at Zokhawthar, there was a decrease in mean noise level by 0.13 dB (A). From the present study, it is evident that road construction poses a threat to the air quality and noise quality of the study area and improved measuresneed to betaken to curb its negative impacts

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Diagnostic Analysis and Modelling of Air Quality for Medium Sized City

YMER Digital ◽

10.37896/ymer20.12/45 ◽

2021 ◽

Vol 20 (12) ◽

pp. 475-497

Author(s):

Nitin W Ingole ◽

◽

Sachin V Dharpal ◽

Keyword(s):

Particulate Matter ◽

Air Quality ◽

Suspended Particulate Matter ◽

Building Materials ◽

Predictive Performance ◽

Suspended Particulate ◽

Regression Approach ◽

Day By Day ◽

Pollution Concentrations

It is witnessed that air pollution is an important issue regarding not only for human health but also for plants, animals and building materials. Increase in industrialisation, abundant use of automobiles, and network of highways, the quality of air of Amravati city is degrading day by day. The data has been collected for a period ranging from March 2020 to February 2021 for analysis and pollution forecasting model work. The concentration of Suspended Particulate Matter (SPM), Respiratory Suspended Particulate Matter (RSPM), Sulphur dioxide (SO2), Nitrogen dioxide (NO2) and Ozone (O3) have been monitored over successive periods of time and also data is collected from monitoring stations controlled by MPCB. Numerous studies have been proposed for predicting pollution concentrations and improvement of performance of predictable models is an important issue. As is well known, collaborative observations proved that it can improve predictive performance. In this study, multivariate linear regression approach-based model was constructed to predict the RSPM in the air using the meteorological (air temperature, relative humidity, wind speed, rainfall) and air quality monitoring data (SPM, NO2, SO2, O3). Correlation between measured and model predicted vales of RSPM were 0.717,0.691,0.64 and 0.60 for winter, summer, monsoon and annual seasons respectively. However, the regression model based on seasonal data for winter was found to be more effective.

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Air Quality Analysis in the European Union

Polish Journal of Environmental Studies ◽

10.15244/pjoes/67530 ◽

2017 ◽

Vol 26 (3) ◽

pp. 1113-1119

Author(s):

María Dolores Huete-Morales ◽

José Manuel Quesada-Rubio ◽

Esteban Navarrete-Álvarez ◽

María Jesús Rosales-Moreno ◽

María José Del-Moral-Ávila

Keyword(s):

European Union ◽

Air Quality ◽

Quality Analysis ◽

The European Union

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Reduction of Atmospheric Suspended Particulate Matter Concentration and Influencing Factors of Green Space in Urban Forest Park

Forests ◽

10.3390/f11090950 ◽

2020 ◽

Vol 11 (9) ◽

pp. 950

Author(s):

Tian Gao ◽

Fang Liu ◽

Yang Wang ◽

Sen Mu ◽

Ling Qiu

Keyword(s):

Particulate Matter ◽

Air Quality ◽

Suspended Particulate Matter ◽

Vegetation Structure ◽

Green Space ◽

Urban Forest ◽

Meteorological Factors ◽

Diversity Index ◽

Suspended Particulate ◽

Matter Concentration

In the process of urbanization in China, the problem of atmospheric suspended particulate matter pollution is becoming increasingly serious. It has been impossible to completely rely on pollution source control measures to solve this problem for a long time due to the diversity and complexity of pollution sources. Therefore, there is an urgent need to explore alternate solutions to significantly improve air quality through increasing the capacity of green space in cities as these locations can provide multiple ecosystem services. In this study, a three-dimensional classification system was created by utilizing Beijing’s urban forest as a study area. Considering the meteorological factors, change of month and time and the characteristics of the forest itself, the significance and difference of reducing the concentration of atmospheric suspended particulate matter by the forest with different vegetation structures were tested. The results showed that meteorological factors such as wind velocity, temperature, and relative humidity all had a very significant effect on the concentration of atmospheric suspended particulate matter in the conditions of this study. The concentration was highest in winter, followed by spring and autumn, and lowest in summer. The concentration in the morning was the lowest of the day, increasing in the noon and afternoon with time. It was the lowest in the closed single-layered mixed forest, and the highest in the open lawn green space. By comparing the forest with gradient areas of 0.5 ha and 3.0 ha, it was found that with the increase in the area, the green space did not necessarily show a better dust retention effect, and the vegetation structure type of the green space often had more important influence. There was a very significant correlation between vegetation structure and plant diversity (Shannon–Wiener Diversity Index and Simpson Diversity Index). Biodiversity could significantly support and strengthen urban forest ecological service functions that improve air quality. Increasing the plant species diversity could lead to lower particulate matter concentration. The research conclusions could provide theoretical and practical bases for how to select the combination of vegetation structure in the planning and design of urban forest oriented to improve air quality.

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Air quality. Determination of the PM10 fraction of suspended particulate matter. Reference method and field test procedure to demonstrate reference equivalence of measurement methods

10.3403/01603131u ◽

2015 ◽

Keyword(s):

Particulate Matter ◽

Air Quality ◽

Field Test ◽

Suspended Particulate Matter ◽

Test Procedure ◽

Reference Method ◽

Measurement Methods ◽

Suspended Particulate

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Characterization of Air-Quality Degradation Episodes of PM10 in the Metropolitan Area of São Paulo and Their Relationship with Meteorological Conditions

Environmental Sciences Proceedings ◽

10.3390/ecas2020-08143 ◽

2020 ◽

Vol 4 (1) ◽

pp. 8

Author(s):

Maria C. Q. D. Oliveira ◽

Luciana V. Rizzo ◽

Anita Drumond

Keyword(s):

Air Quality ◽

Metropolitan Area ◽

Sao Paulo ◽

Meteorological Conditions ◽

Pollutant Emissions ◽

Maximum Temperature ◽

São Paulo ◽

Urban Centers ◽

Duration Distribution ◽

Air Quality Monitoring Stations

Air pollution is one of the main environmental problems in large urban centers, affecting people’s health and impacting quality of life. The Metropolitan Area of São Paulo (MASP) presents frequent exceedances of air-quality standards in inhalable particulate matter (PM10), a consequence of pollutant emissions modulated by meteorological conditions. This study aims to identify and characterize PM10persistent exceedance events (PEE) inthe MASP between 2005 and 2017, relating them to meteorological conditions. The criteria used to select the events were: (i) events that occurred in at least 50% of the air-quality monitoring stations chosen for this study and, (ii) among the events that met the first criterion, those with a duration equal to or greater than five days, which correspond to the 80% percentile of the event duration distribution. A total 71 persistent episodes of exceedance were selected. The results show that the exceedance of PM10 lasted up to 14 consecutive days and was predominant in the austral winter, accompanied by an increase in maximum temperature (T), a decrease in wind speed (WS) and relative humidity (RH), and a wind direction predominantly from the northwest during the peak concentration of the pollutant. On average, a concentration increase of 60% was observed at the peak of the PEE.

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