Distribution of PM2.5 and PM10-2.5 in PM10 Fraction in Ambient Air Due to Vehicular Pollution in Kolkata Megacity

2006 ◽  
Vol 122 (1-3) ◽  
pp. 111-123 ◽  
Author(s):  
Manab Das ◽  
Subodh Kumar Maiti ◽  
Ujjal Mukhopadhyay
Keyword(s):  
Ambient Air ◽  
Vehicular Pollution ◽  
Pm2.5 And Pm10 ◽  
Kolkata Megacity

scholarly journals Emission from Uyo Main Refuse Dumpsite and Potential Impact on Health

2020 ◽  
pp. 8-13
Author(s):  
S. A. Nta ◽  
M. J. Ayotamuno ◽  
A. H. Igoni ◽  
R. N. Okparanma
Keyword(s):  
Air Quality ◽  
Quality Index ◽  
Ambient Air ◽  
Air Quality Index ◽  
Volatile Organic Carbon ◽  
Highly Sensitive ◽  
Volatile Organic ◽  
Landfill Emissions ◽  
Potential Impact ◽  
Pm2.5 And Pm10

This paper presents potential impact on health of emission from landfill site on Uyo village road, Uyo local government area of Akwa Ibom State, Nigeria. Three sampling points were assessed for particulate matter (PM2.5 and PM10), nitrogen dioxide (NO2), sulphur dioxide (SO2), carbon monoxide (CO), hydrogen sulphide H2S, ammonia (NH3), total volatile organic carbon (TVOC) and hydrogen cyanide (HCN) using highly sensitive digital portable meters. The data obtained were expressed in terms of an air quality index. Air quality index indicates that the ambient air can be described as unhealthy for sensitive groups for NO2, unhealthy for SO2 and PM2.5 and moderate for CO, respectively. H2S, NH3, TVOC, HCN, PM10 were not indicated in USEPA air quality standards. It recommended that stringent and proper landfill emissions management together with appropriate burning of wastes should be considered in the study area to ease the risks associated with these pollutants on public health.

scholarly journals Low-Cost Air Quality Sensors: One-Year Field Comparative Measurement of Different Gas Sensors and Particle Counters with Reference Monitors at Tušimice Observatory

Atmosphere ◽  
2020 ◽  
Vol 11 (5) ◽  
pp. 492 ◽  
Author(s):  
Petra Bauerová ◽  
Adriana Šindelářová ◽  
Štěpán Rychlík ◽  
Zbyněk Novák ◽  
Josef Keder
Keyword(s):  
Air Quality ◽  
Gas Sensors ◽  
Low Cost ◽  
Monitoring Network ◽  
Field Testing ◽  
Ambient Air ◽  
Monitoring Networks ◽  
Comparative Measurement ◽  
One Year ◽  
Pm2.5 And Pm10

With attention increasing regarding the level of air pollution in different metropolitan and industrial areas worldwide, interest in expanding the monitoring networks by low-cost air quality sensors is also increasing. Although the role of these small and affordable sensors is rather supplementary, determination of the measurement uncertainty is one of the main questions of their applicability because there is no certificate for quality assurance of these non-reference technologies. This paper presents the results of almost one-year field testing measurements, when the data from different low-cost sensors (for SO2, NO2, O3, and CO: Cairclip, Envea, FR; for PM1, PM2.5, and PM10: PMS7003, Plantower, CHN, and OPC-N2, Alphasense, UK) were compared with co-located reference monitors used within the Czech national ambient air quality monitoring network. The results showed that in addition to the given reduced measurement accuracy of the sensors, the data quality depends on the early detection of defective units and changes caused by the effect of meteorological conditions (effect of air temperature and humidity on gas sensors and effect of air humidity with condensation conditions on particle counters), or by the interference of different pollutants (especially in gas sensors). Comparative measurement is necessary prior to each sensor’s field applications.

scholarly journals Evaluation of a low-cost optical particle counter (Alphasense OPC-N2) for ambient air monitoring

2018 ◽  
Vol 11 (2) ◽  
pp. 709-720 ◽  
Author(s):  
Leigh R. Crilley ◽  
Marvin Shaw ◽  
Ryan Pound ◽  
Louisa J. Kramer ◽  
Robin Price ◽  
...  
Keyword(s):  
Low Cost ◽  
Ambient Air ◽  
Particle Mass ◽  
Particle Counter ◽  
Optical Particle Counter ◽  
Attractive Option ◽  
Kohler Theory ◽  
Pm2.5 And Pm10 ◽  
The Uk ◽  
Mass Concentrations

Abstract. A fast-growing area of research is the development of low-cost sensors for measuring air pollutants. The affordability and size of low-cost particle sensors makes them an attractive option for use in experiments requiring a number of instruments such as high-density spatial mapping. However, for these low-cost sensors to be useful for these types of studies their accuracy and precision need to be quantified. We evaluated the Alphasense OPC-N2, a promising low-cost miniature optical particle counter, for monitoring ambient airborne particles at typical urban background sites in the UK. The precision of the OPC-N2 was assessed by co-locating 14 instruments at a site to investigate the variation in measured concentrations. Comparison to two different reference optical particle counters as well as a TEOM-FDMS enabled the accuracy of the OPC-N2 to be evaluated. Comparison of the OPC-N2 to the reference optical instruments shows some limitations for measuring mass concentrations of PM1, PM2.5 and PM10. The OPC-N2 demonstrated a significant positive artefact in measured particle mass during times of high ambient RH (> 85 %) and a calibration factor was developed based upon κ-Köhler theory, using average bulk particle aerosol hygroscopicity. Application of this RH correction factor resulted in the OPC-N2 measurements being within 33 % of the TEOM-FDMS, comparable to the agreement between a reference optical particle counter and the TEOM-FDMS (20 %). Inter-unit precision for the 14 OPC-N2 sensors of 22 ± 13 % for PM10 mass concentrations was observed. Overall, the OPC-N2 was found to accurately measure ambient airborne particle mass concentration provided they are (i) correctly calibrated and (ii) corrected for ambient RH. The level of precision demonstrated between multiple OPC-N2s suggests that they would be suitable devices for applications where the spatial variability in particle concentration was to be determined.

scholarly journals Feasibility and difficulties of China's new air quality standard compliance: PRD case of PM<sub>2.5</sub> and ozone from 2010 to 2025

2013 ◽  
Vol 13 (23) ◽  
pp. 12013-12027 ◽  
Author(s):  
H. Liu ◽  
X. M. Wang ◽  
J. M. Pang ◽  
K. B. He
Keyword(s):  
Air Quality ◽  
Control Strategies ◽  
Nox Reduction ◽  
Ambient Air ◽  
Quality Standard ◽  
Average Concentration ◽  
Air Pollutant ◽  
Control Measures ◽  
Ozone Pollution ◽  
Pm2.5 And Pm10

Abstract. Improving the air quality in China is a long and arduous task. Although China has made very aggressive plans for air pollutant control, the difficulties in achieving the new air quality goals are still significant. A lot of cities are developing their implementation plan (CIP) for new air quality goals. In this study, a southern city, Guangzhou, has been selected to analyze the feasibility and difficulties of new air quality standard compliance, as well as the CIP evaluation. A comprehensive study of the air quality status in Guangzhou and the surrounding area was conducted using 22 monitoring sites collection data for O3, PM2.5 and PM10. The monthly non-attainment rates for O3 vary from 7 to 25% for May to November. The city average PM2.5 concentration was 53 μg m−3 in Guangzhou in 2010, which needs to be reduced by at least 34% to achieve the target of 35 μg m−3. The PM2.5 high violation months are from November to March. A CIP was developed for Guangzhou, which focused on PM2.5. Based on the CIP, the emission amounts of NOx, PM10, PM2.5 and volatile organic compounds (VOCs) in 2025 would be controlled to 119, 61, 26 and 163 thousand tons, respectively, reduced by 51.9%, 55.9%, 61.8% and 41.3%, respectively, compared to 2010. Analysis of air quality using the model MM5-STEM suggests that the long-term control measures would achieve the PM2.5 and PM10 goals successfully by 2025. The PM2.5 annual average concentration would be reduced to 27 μg m−3 in 2025. However, such PM2.5-based emission control scenarios may enhance the ozone pollution problems. The O3 non-attainment rate would increase from 7.1% in 2010 to 12.9% in 2025, implying that ozone will likely become a major compliance issue with the new national ambient air quality standards (NAAQS). This suggests that O3 control must be taken into account while designing PM2.5 control strategies, especially PM2.5 compliance under increased atmospheric oxidation, and for VOCs / NOx reduction ratios need to be further investigated, in order to eventually achieve O3–PM2.5 co-improvement in this region or other cities.

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 Ambient PM2.5 and PM10 Exposure and Respiratory Disease Hospitalization in Kandy, Sri Lanka

2021 ◽  
Vol 18 (18) ◽  
pp. 9617
Author(s):  
Sajith Priyankara ◽  
Mahesh Senarathna ◽  
Rohan Jayaratne ◽  
Lidia Morawska ◽  
Sachith Abeysundara ◽  
...  
Keyword(s):  
Air Pollution ◽  
Sri Lanka ◽  
Respiratory Disease ◽  
Hospital Admissions ◽  
Additive Model ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Increased Risk ◽  
Pm2.5 And Pm10 ◽  
Pm10 Exposure

Evidence of associations between exposure to ambient air pollution and health outcomes are sparse in the South Asian region due to limited air pollution exposure and quality health data. This study investigated the potential impacts of ambient particulate matter (PM) on respiratory disease hospitalization in Kandy, Sri Lanka for the year 2019. The Generalized Additive Model (GAM) was applied to estimate the short-term effect of ambient PM on respiratory disease hospitalization. As the second analysis, respiratory disease hospitalizations during two distinct air pollution periods were analyzed. Each 10 μg/m3 increase in same-day exposure to PM2.5 and PM10 was associated with an increased risk of respiratory disease hospitalization by 1.95% (0.25, 3.67) and 1.63% (0.16, 3.12), respectively. The effect of PM2.5 or PM10 on asthma hospitalizations were 4.67% (1.23, 8.23) and 4.04% (1.06, 7.11), respectively (p < 0.05). The 65+ years age group had a higher risk associated with PM2.5 and PM10 exposure and hospital admissions for all respiratory diseases on the same day (2.74% and 2.28%, respectively). Compared to the lower ambient air pollution period, higher increased hospital admissions were observed among those aged above 65 years, males, and COPD and pneumonia hospital admissions during the high ambient air pollution period. Active efforts are crucial to improve ambient air quality in this region to reduce the health effects.

scholarly journals Assessment of the Accuracy of Analyzers for Automatic Determination of PM10 and PM2.5 Particulate Matter in Ambient Air

2020 ◽  
Vol 71 (1) ◽  
pp. 83-87
Author(s):  
Elena Bucur ◽  
Radu Motisan ◽  
Andrei Vasile ◽  
Gheorghita Tanase ◽  
Luoana Florentina Pascu ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Pearson Correlation ◽  
Reference Method ◽  
Ambient Air ◽  
Data Series ◽  
Test Results ◽  
Particulate Matter Concentration ◽  
Pm2.5 And Pm10 ◽  
Matter Concentration

The paper presents the test results regarding the evaluation of the accuracy of the PM2.5 and PM10 particulate matter concentration measurement performed with the uRADMonitor A3 fixed air quality monitoring station produced by SC MAGNASCI SRL. The procedure involves the calculation of the accuracy elements: trueness and precision, based on the experimental data obtained by measuring the concentration of particulate matter using the tested analysers in parallel with the reference method, SR EN 12341: 2014, and analysis of data series by Pearson correlation and linear regression.

Street Scale Air Pollution Modelling in Antalya on Mediterranean Coast of Turkey

2020 ◽  
Author(s):  
ahmet mustafa tepe ◽  
Matthias Ketzel ◽  
Ulaş Im ◽  
Güray Doğan
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Ambient Air ◽  
Mediterranean Coast ◽  
Evaluation Tool ◽  
Street Canyons ◽  
Statistical Institute ◽  
Turkish State ◽  
One Year ◽  
Pm2.5 And Pm10

&lt;p&gt;Antalya is a city at the Turkish Riviera located on Mediterranean coast of southwestern Turkey and it is the fifth populated city in Turkey. The city has a downtown population of over 2 million. Agriculture and tourism activities are the most important sources of income in the region. Antalya is a very important tourism destination and welcomes more than 10 million tourists every year.&lt;/p&gt;&lt;p&gt;Nowadays, with the rapid increase in urbanization, air pollution has been one of the most important environmental problems especially in big cities. In order to solve the pollution problems as soon as possible, the largest air pollution sources must be determined first. Air quality models are used extensively in air quality studies as they allow these problems to be identified quickly, cheaply and effectively. The semi-parameterized Operational Street Pollution Model (OSPM&lt;sup&gt;&amp;#174;&lt;/sup&gt;) has been widely used around the globe to determine levels of air pollution on local or street-scale for urban street canyons (Berkowicz 2000, Ketzel et al. 2012).&lt;/p&gt;&lt;p&gt;For this study; four street canyons along the main roads in central Antalya were selected (100. Y&amp;#305;l Avenue, Yener Ulusoy Avenue, Adnan Menderes Avenue, K&amp;#305;z&amp;#305;l&amp;#305;rmak Street).&amp;#160; Modeling has been carried out for a period of one year (July 2014 &amp;#8211; July 2015) for the pollutants PM2.5 and PM2.5-10.&lt;/p&gt;&lt;p&gt;The urban background concentrations for particulate matter (PM2.5 and PM2.5-10) were collected using stack filter unit system. Total of 169 samples were collected once in a two-day period between July 2014 and July 2015 (Tepe 2016). Meteorological parameters and traffic data used in this study were obtained from Turkish State Meteorological Service and Turkish Statistical Institute, respectively.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;span&gt;REFERENCES&lt;/span&gt;&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;Berkowicz, R. OSPM - A Parameterised Street Pollution Model. Environ. Monit. Assess. 65, 323 331 (2000)&lt;/p&gt;&lt;p&gt;Ketzel M, Jensen SS, Brandt J, Ellermann T, Olesen HR, Berkowicz R and Hertel O. Evaluation of the Street Pollution Model OSPM for Measurements at 12 Streets Stations Using a Newly Developed and Freely Available Evaluation Tool. J Civil Environ Eng, S1:004 (2012)&lt;/p&gt;&lt;p&gt;Tepe, A. Investigation of Concentrations and Source Apportionment of Metals Attached to PM2.5 and PM10 in Antalya Ambient Air (Unpublished master&amp;#8217;s thesis). Akdeniz University, Antalya, Turkey (2016)&lt;/p&gt;

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