scholarly journals Trend of Particulate Matter PM 2.5 and PM 10 in Dhaka City

1970 ◽  
Vol 46 (3) ◽  
pp. 389-398 ◽  
Author(s):  
MA Rouf ◽  
M Nasiruddin ◽  
AMS Hossain ◽  
MS Islam
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Air Quality ◽  
Winter Season ◽  
Ambient Air ◽  
Quality Data ◽  
Dhaka City ◽  
Monsoon Period ◽  
Pm 2.5 ◽  
Pm 10

Dhaka City has been affecting with severe air pollution particularly by particulate matter. The ambient air quality data for particulate matter were collected during April 2002 to September 2005 at the Continuous Air Quality Monitoring Station (CAMS) located at Sangshad Bhaban, Dhaka. Data reveal that the pollution from particulate matter greatly varies with climatic condition. While the level comes down the limit value in the monsoon period (April-October), it goes beyond the limit during non-monsoon time (November-March). The latest data show that during monsoon period PM 10 concentration varies from 50 μg/m3 to 80 μg/m3 and PM 2.5 concentration from 20 μg/m3 to 60 μg/m3 and during non monsoon period PM 10 varies from 100 μg/m3 to 250 μg/m3 and PM 2.5 varies from 70 μg/m3 to 165 μg/m3. The seasonal variation clearly indicates the severe PM 10 pollution during the dry winter season and also sometime during post-monsoon season in Dhaka City. Keywords: Air pollution; PM 2.5; PM 10; Air quality DOI: http://dx.doi.org/10.3329/bjsir.v46i3.9049 BJSIR 2011; 46(3): 389-398

scholarly journals Identifying Air Pollution As a Major Threat to Newly Grown Ecotourism Spot in Baranti, Purulia, West Bengal, India

2021 ◽  
Vol 14 (4) ◽  
pp. 1895-1890
Author(s):  
Dibyendu Saha
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
West Bengal ◽  
Ambient Air ◽  
Sustainable Growth ◽  
Mean Values ◽  
Pm 2.5 ◽  
Lower Productivity ◽  
The Government ◽  
Pm 10

Air pollution is a notable worldwide warning to human health. Every year, air pollution is accountable for more than five million death, out of these 91% occur in lower-middle-income countries. In addition to this, various respiratory & cardiovascular diseases, lower productivity and increased mortality are also related to air pollution, that’s why it’s often called a silent or invisible killer. However, Ecotourism generates opportunities for tourists wishing to enjoy the natural environment without destructing or disturbing its habitats. It is increasingly considered instrumental in helping the local socio-economic sustainable development and also as a means for generating revenues with the object of preserving the local traditional culture and craft. Environmental ambient quality must be considered as a crucial aspect in the predetermining process of prospective tourists and tourism destinations. The present study site Baranti, in Raghunathpur subdivision of Purulia district, West Bengal, India is situated in a splendid location within Baranti Lake and Baranti Hill, both has emerged as a fast-grown ecotourism spot over the last 7-8 years. The present study was carried out through survey questionnaire method from May 2020 (01.05.2020) - November 2020 (30.11.2020) on different categories of respondents like local people, hotel-resort owners & staff, local businessmen and tourists and simultaneously during this period, the air quality was also measured in respect of temperature, humidity, PM 2.5, PM 10, particles and CO2 through Temtop M2000C Air Quality Monitor at the said site. In the observation, ambient air quality was measured at three hours intervals on a day every week and 10 readings were taken from each site at a distance of 10 meters apart and the mean values were considered for statistical analyses. It was found that average PM 2.5, PM 10 & CO2 in ambient air in the study site were 64.26 ug/m3, 89.43 ug/m3 & 701.66 respectively therefore unexpectedly the ambient air is not only polluted but also moderate to unhealthy in respect of the said parameters as judged by the yardstick of Air Quality Guideline Levels laid down by the WHO. A well-defined management plan is required for controlling and minimising the said pollution with the interference of the Government and other agencies for the sustainable growth and development of the said ecotourism spot.

scholarly journals Variation of Ambient Air Quality Scenario in Chittagong City: A Case Study of Air Pollution

2016 ◽  
Author(s):  
Md. Arif Hossen ◽  
Asiful Hoque
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Ambient Air ◽  
Quality Standard ◽  
Average Concentration ◽  
Quality Data ◽  
Gaseous Pollutants ◽  
Ambient Air Quality ◽  
Monsoon Period ◽  
Yearly Average

The ambient air quality data for particulate matter as well as criteria of gaseous pollutants were assembled during December 2013 to December 2015 from the Continuous Air Quality Monitoring Station (CAMS) located at Agrabad, Chittagong. The observation showed that during April- October, 24 hour average concentration of PM10 and PM2.5 were within the National Ambient Air Quality Standard (NAAQS) level but it increased occasionally by more than two and a half times during the whole non-monsoon period (November-March). The highest values found of PM2.5 were 321.1 µg/m3 in January, 2013 and 220.34 µg/m3 in December 2015. Whether, the highest alarming concentration of PM10 was reported as 474 µg/m3 in January 2007. The other gaseous pollutants such as SO2, NO2, O3, CO and Hydrocarbons remain well within the permissible limit except dry non-monsoon period. The yearly average increase of Air Quality Index (AQI) value indicates the growth rate of air pollution in Chittagong city. The main responsible pollutant for air pollution is found PM2.5.

scholarly journals Using Multi-Angle Imaging SpectroRadiometer Aerosol Mixture Properties for Air Quality Assessment in Mongolia

2018 ◽  
Vol 10 (8) ◽  
pp. 1317 ◽  
Author(s):  
Meredith Franklin ◽  
Khang Chau ◽  
Olga Kalashnikova ◽  
Michael Garay ◽  
Temuulen Enebish ◽  
...  
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Air Quality ◽  
Capital City ◽  
World Health ◽  
Dust Particles ◽  
Support Vector ◽  
Daily Maximum ◽  
Pm 2.5 ◽  
Pm 10

Ulaanbaatar (UB), the capital city of Mongolia, has extremely poor wintertime air quality with fine particulate matter concentrations frequently exceeding 500 μg/m3, over 20 times the daily maximum guideline set by the World Health Organization. Intensive use of sulfur-rich coal for heating and cooking coupled with an atmospheric inversion amplified by the mid-continental Siberian anticyclone drive these high levels of air pollution. Ground-based air quality monitoring in Mongolia is sparse, making use of satellite observations of aerosol optical depth (AOD) instrumental for characterizing air pollution in the region. We harnessed data from the Multi-angle Imaging SpectroRadiometer (MISR) Version 23 (V23) aerosol product, which provides total column AOD and component-particle optical properties for 74 different aerosol mixtures at 4.4 km spatial resolution globally. To test the performance of the V23 product over Mongolia, we compared values of MISR AOD with spatially and temporally matched AOD from the Dalanzadgad AERONET site and find good agreement (correlation r = 0.845, and root-mean-square deviation RMSD = 0.071). Over UB, exploratory principal component analysis indicates that the 74 MISR AOD mixture profiles consisted primarily of small, spherical, non-absorbing aerosols in the wintertime, and contributions from medium and large dust particles in the summertime. Comparing several machine learning methods for relating the 74 MISR mixtures to ground-level pollutants, including particulate matter with aerodynamic diameters smaller than 2.5 μm ( PM 2.5 ) and 10 μm ( PM 10 ), as well as sulfur dioxide ( SO 2 ), a proxy for sulfate particles, we find that Support Vector Machine regression consistently has the highest predictive performance with median test R 2 for PM 2.5 , PM 10 , and SO 2 equal to 0.461, 0.063, and 0.508, respectively. These results indicate that the high-dimensional MISR AOD mixture set can provide reliable predictions of air pollution and can distinguish dominant particle types in the UB region.

scholarly journals Ambient Air Quality and General Health Outcomes in Nigde (Turkey) between 2011 and 2017

2021 ◽  
Author(s):  
Ertan Kara ◽  
Hasan Göksel Özdilek ◽  
Emine Erman Kara ◽  
Fatih Balcı ◽  
Burcu Mestav
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Air Quality ◽  
Health Outcomes ◽  
Economic Cost ◽  
Ambient Air ◽  
Health Problems ◽  
Ambient Air Pollution ◽  
Chronic Obstructive ◽  
Ambient Air Quality

Background: We aimed to provide information for health practitioners and other related people about the association between ambient air quality and adverse health outcomes in the general population of Nigde, a central Turkish city, within the context of current health data epidemiological evidence. Methods: The present study highlights the connection between health problems and time series of particulate matter (PM10) and sulphur dioxide (SO2) in Nigde, Turkey between 2011 and 2017. Significant morbidity is linked to ambient air pollution, resulting in a significant economic cost to society. Results: We found that the required funds to treat cancers and chronic obstructive pulmonary disease triggered by ambient air pollution in Nigde, exceed 9 million US dollars per year, even when only the city center is taken into account. Conclusion: As Turkish cities grow and urban population density increases, air pollution issues need to be given priority in order to protect the health of the public and support sustainable development for future generations. It is recommended that particulate matter concentration in this urban center should be significantly reduced to minimize health problems.

scholarly journals Changes in air-pollution related behaviour measured by Google Trends Search Volume Index in response to reported air quality in Poland

2021 ◽  
Author(s):  
Wojciech Nazar ◽  
Katarzyna Plata-Nazar
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Winter Season ◽  
Google Trends ◽  
Volume Index ◽  
Quality Data ◽  
Coefficient Of Determination ◽  
Pollution Levels ◽  
Search Volume ◽  
Air Quality Data

Abstract Background Decreased air quality is connected to a higher number of hospital admissions and an increase in daily mortality rates. Thus, Poles’ behavioural response to sometimes elevated air pollution levels is vital. The aim of this study was to carry out analysis of changes in air-pollution related information seeking behaviour in response to nationwide reported air quality in Poland. Methods Google Trends Search Volume Index data was used to investigate Poles’ interest in air pollution-related keywords. PM10 and PM2.5 concentrations measured across Poland between 2016 and 2019 were collected from the Chief Inspectorate of Environmental Protection databases. Pearson Product-Moment Correlation and the R2 correlation coefficient of determination were used to measure spatial and seasonal correlations between reported air pollution levels and the popularity of search queries. Results The highest PM10 and PM2.5 concentrations were observed in southern voivodeships and during the winter season. Similar trends were observed for Poles’ interest in air-pollution related keywords. All R2 coefficient of determination values were > 0.5 and all correlations were statistically significant. Conclusion Poland’s air quality does not meet the World Health Organisation guidelines. Also, the air quality is lower in southern Poland and during the winter season. It appears that Poles are aware of this issue and search for daily air quality data in their location. Greater interest in air quality data in Poland strongly correlates with both higher regional and higher seasonal air pollution levels.

scholarly journals Investigating the effect of an open window vs. a closed window on the concentrations of suspended particulate matter in the indoors with respect to the outdoors

2022 ◽  
Author(s):  
Raja Singh ◽  
Tushar Mondal ◽  
Anil Dewan
Keyword(s):  
Particulate Matter ◽  
Working Hours ◽  
Ambient Air ◽  
Substantial Effect ◽  
New Delhi ◽  
Pm 2.5 ◽  
Suspended Particulate ◽  
Open Window ◽  
Indoor Particulate Matter ◽  
Pm 10

A study was conducted to see the effect of an opened window vs. a closed window in New Delhi in peak winters. This is the time when the PM 2.5 and PM 10 concentrations are the highest in the ambient air due to various external factors. A PM 2.5 and PM 10 air quality meter was used at a singular location near the window for 10 days with 9 readings taken during the daily working hours. Contrary to the possible conjectural belief, it was found that the window opened or closed did not have a substantial effect on the concentrations of the indoor levels of PM 2.5 and PM 10. The results showed that opening of the windows does not substantially affect the levels of the indoors with respect to the levels of PM 2.5 and PM 10 in the outdoors. Outdoors may provide the source of the particulate matter in the indoor, but due to diffusive effect, open windows play a key role in the reducing the indoor levels. This study was reconfirmed with options where the windows were opened and then closed and vice-versa. In all cases, the effect of the outdoor was not visible. To curb indoor particulate matter levels, isolation is not the solution. (200 words)

Long-Term Exposure to Ambient Air Pollution and Myocardial Infarction-A systematic review and meta-analysis

2020 ◽  
Author(s):  
Wenning Fu ◽  
Li Zou ◽  
Hongbin Xu ◽  
Xiantao Zeng ◽  
Shijiao Yan ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Systematic Review ◽  
Air Pollution ◽  
Cohort Studies ◽  
Meta Analysis ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Pm 2.5 ◽  
Pm 10

Abstract Background and Objective: An increasing amount of epidemiological original studies suggested that long-term exposure to particulate matter (PM 2.5 and PM 10 ) could be associated with the risk of myocardial infarction(MI), but the results were inconsistent. We aimed to synthesized available cohort studies to identify the association between ambient air pollution (PM 2.5 and PM 10 ) and MI risk by a meta-analysis. Methods: PubMed and Embase were searched through September 2019 to identify studies that met predetermined inclusion criterion. Reference lists from retrieved articles were also reviewed. A random-effects model was used to calculate the pooled relative risk ( RR ) and 95% confidence intervals ( CI ). Results: Twenty-two cohort studies involving 6,567,314 participants and 865,98 patients with MI were included in this systematic review. The pooled results showed that higher levels of ambient air pollution (PM 2.5 and PM 10 ) exposure were significantly associated with the risk of MI. The pooled relative ratio ( RR) for each 10-μg/m 3 increment in PM 2.5 and PM 10 were 1.20 (95% CI : 1.11–1.29), and1.03 (95% CI :1.00-1.07) respectively. Exclusion of any single study did not materially alter the combined risk estimate. Conclusions: Integrated evidence from cohort studies supports the hypothesis that long-term exposure to PM 2.5 and PM 10 as a risk factor for MI.

scholarly journals Quantification of secondary organic aerosol in an Australian urban location

2011 ◽  
Vol 8 (2) ◽  
pp. 115 ◽  
Author(s):  
Melita Keywood ◽  
Helen Guyes ◽  
Paul Selleck ◽  
Rob Gillett
Keyword(s):  
Particulate Matter ◽  
Air Quality ◽  
Elemental Carbon ◽  
Secondary Organic Aerosol ◽  
Fine Particulate Matter ◽  
Ambient Air ◽  
Organic Aerosol ◽  
Quality Data ◽  
Combustion Source ◽  
First Time

Environmental contextParticulate matter is detrimental to human health necessitating air quality standards to ensure that populations are not exposed to harmful levels of air pollutants. We quantified, for the first time in an Australian city, secondary organic aerosol produced in the atmosphere by chemical reactions, and show that it constitutes a significant fraction of the fine particulate matter. Secondary organic aerosol should be considered in regulations to control particulate matter and ozone. AbstractThe contribution of secondary organic aerosol (SOA) to particulate mass (PM) in an Australian urban airshed is quantified for the first time in this work. SOA is estimated indirectly using the elemental carbon tracer method. The contribution of primary organic carbon (OC) to PM is determined using ambient air quality data, which is used to indicate photochemical activity and as a tracer for a general vehicular combustion source. In addition, levoglucosan concentrations were used to determine the contribution of wood heater emissions to primary OC. The contribution of bushfire smoke to primary OC emissions was determined from the organic and elemental carbon (OC/EC) ratios measured in bushfire source samples. The median annual SOA concentration determined in this work was 1.1 µg m–3, representing ~13% of PM2.5 median concentrations on an annual basis (assuming a ratio of organic mass (OM) to OC of 1.6). Significantly higher SOA concentrations were determined when bushfire smoke affected the airshed; however, the SOA fraction of PM2.5 was greatest during the autumn and early winter months when the formation of inversions allows build up of particles produced by domestic wood-heater emissions.

scholarly journals Particulate matter and emergency visits for asthma: a time-series study of their association in the presence and absence of wildfire smoke in Reno, Nevada, 2013-2018

2020 ◽  
Author(s):  
Daniel Kiser ◽  
William J. Metcalf ◽  
Gai Elhanan ◽  
Brendan Schnieder ◽  
Karen Schlauch ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Air Quality ◽  
Generalized Additive Models ◽  
Additive Models ◽  
Urgent Care ◽  
Pm 2.5 ◽  
Wildfire Smoke ◽  
The Difference ◽  
Pm 10 ◽  
Washoe County

Abstract Background: Health risks due to particulate matter (PM) from wildfires may differ from risk due to PM from other sources. In places frequently subjected to wildfire smoke, such as Reno, Nevada, it is critical to determine whether wildfire PM poses unique risks. Our goal was to quantify the difference in the association of adverse asthma events with PM on days when wildfire smoke was present versus days when wildfire smoke was not present. Methods: We obtained counts of visits for asthma at emergency departments and urgent care centers from a large regional healthcare system in Reno for the years 2013-2018. We also obtained dates when wildfire smoke was present from the Washoe County Health District Air Quality Management Division. We then examined whether the presence of wildfire smoke modified the association of PM 2.5 , PM 10-2.5 , and PM 10 with asthma visits using generalized additive models. We improved on previous studies by accounting for possible non-linearity in the association between PM concentration and asthma visits: wildfire-smoke days where the PM concentration exceeded the maximum PM concentration on other days were excluded. Results: Air quality was affected by wildfire smoke on 188 days between 2013 and 2018. We found that the presence of wildfire smoke increased the association of a 5 µg/m 3 increase in daily and three-day averages of PM 2.5 with asthma visits by 6.1% (95% confidence interval (CI): 2.1-10.3%) and 6.8% (CI: 1.2-12.7%), respectively. Similarly, the presence of wildfire smoke increased the association of a 5 µg/m 3 increase in daily and three-day averages of PM 10 with asthma visits by 5.5% (CI: 2.5-8.6%) and 7.2% (CI: 2.6-12.0%), respectively. We did not observe any significant increases in association for PM 10-2.5 or for seven-day averages of PM 2.5­ and PM 10 . Conclusions: Since we found significantly stronger associations of PM 2.5 and PM 10 with asthma visits when wildfire smoke was present, our results suggest that wildfire PM is more hazardous than non-wildfire PM for patients with asthma.

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