THE INFLUENCE OF METEOROLOGY ON PARTICULATE MATTER CONCENTRATION IN THE AIR OF DHAKA CITY (original) (raw)

Meteorological Influences on Urban Air Quality Parameters in Dhaka City

2021

This study aims at investigating the effect of meteorological parameters on seasonal variation of particulate matter(PM) (both PM2.5 and PM10) using a 4-year (2013-2016) monitoring data of air quality parameters from CASE project implemented by the Department of Environment (DoE). Using monthly data of the Continuous Air Monitoring Station(CAMS) of Darus-Salam, Dhaka, cross correlation analysisis performed between PM and meteorological parameters where inverse relationships of PM with temperature, rainfall and relative humidity are found. Increased biomass burning during low temperature period, washout effect of rainfall, wet deposition mechanism of higher humidity may be held responsible for these negative correlations. Significant seasonal variation is observed from daily data analysis of Darus Salam station and it is found that winter PM concentrations are 4.5-5.5 times higher than monsoon PM concentrations. Seasonal cross-correlation between PM10 and PM2.5 shows lower correlatio...

Monitoring and Trend Analysis of Air-Borne Particulate Matter (PM10 and PM2.5) at Major Hot-Spot Areas: Mohakhali and Farmgate in Dhaka City

Journal of Chemical Engineering, 2010

The objectives of this work were to monitor and quantify the airborne particles (PM<sub>10</sub> and PM<sub>2.5</sub>) and to<br />predict the influence of human and natural activities on their ambient concentrations. Samples of Air-borne<br />Particulate Matter (APM) in the size range 0-2.5 μm (PM<sub>2.5</sub>) and 0-10 μm (PM<sub>10</sub>) were collected<br />simultaneously using two MiniVol portable air samplers at Mohakhali and Farmgate area in Dhaka city.<br />At Mohakhali effective sampling duration was from May 16 to May 23, 2004 and at Farmgate from June 6<br />to June 13, 2004. Continuous seven day monitoring was carried out to find the effect of meteorology, traffic<br />load and other anthropogenic activities on ambient Particulate Matter (PM) pollution level. Weekday and<br />weekend average traffic number was evaluated by field technicians at both sampling sites. These sites...

Temporal variation of ambient particulate matter in Chattogram City, Bangladesh

Journal of Air Pollution and Health

Introduction: Chattogram is known as the Bangladesh’s commercial capital with its diversified industrial areas and seaport. This study aimed to assess the Particulate Matter (PM2.5 and PM10) in relation to meteorological characteris- tics in Chattogram city from 2013-2018. Materials and methods: Monthly PM2.5 and PM10 data were collected from the Continuous Air Monitoring Station (CAMS) in Chattogram City (Agrabad Point) which is operated by the Department of Environment (DoE) of Ban- gladesh under the Clean Air and Sustainable Environment (CASE) project. Results: This Study found the higher concentration of both PM2.5 and PM10 occurred from December to February and it decreases from July-September and begins to increase from the month of October. The PM values seasonally varied being higher during the winter seasons and decreased in rainy seasons. The PM2.5 mass was detected 50% of that of PM10 which is mostly from bio- mass burn and vehicles activities. Meteorological parameters s...

Spatio-temporal Variation of Meteorological Influence on PM2.5 and PM10 over Major Urban Cities of Bangladesh

Aerosol and Air Quality Research

A detrended seasonal analysis on a 6-year (2013-2018) dataset of daily Particulate Matter (PM) concentration and meteorological parameters is performed to understand the spatio-temporal variation of PM and the seasonal influence of meteorological factors on PM pollution over 6 major urban cities of Bangladesh. Cross-correlation and multiple non-linear regression (MNLR) of air quality and meteorological data were used to explore the meteorology-PM interactions and their spatio-temporal variability. Meteorological influence on PM was found to be stronger in the southern part of the country relative to the northwestern part. MNLR analysis implied that meteorological parameters could explain up to 39% of daily PM variability during high pollution days. The deposition effect of relative humidity was prominent during the premonsoon season, while rainfall impact becomes dominant in the monsoon season, specifically in the northeastern region. Wind speed was observed to have a dilatory effect on PM variation, although wind seemed to carry sea aerosol in southern regions. In addition, the northwestern wind appeared to contribute to PM rise in most urban areas by carrying PM loading. In winter, the low temperature was found to favor PM accumulation, while in monsoon, high temperature causes PM rise, possibly by assisting atmospheric secondary aerosol formation. Solar radiation positively influenced atmospheric PM formation, and the influence was stronger in the northwestern region. It is shown that meteorological parameters influence the seasonal variability of PM, but the extent of this influence varies depending on temporal and regional factors.

PM2.5 concentration and meteorological characteristics in Dhaka, Bangladesh

Bangladesh Journal of Scientific and Industrial Research

Air quality in Dhaka city is gradually deteriorating due to increase of pollutants in air. This study aims to assess the concentration of particulate matter (PM) with an aerodynamic diameter ≤2.5 μm (PM2.5) and its relationship with meteorological parameters in highly polluted Dhaka city. Data for PM2.5 has been collected from the Air Now Department of State (AirNow DOS) and meteorological data from Bangladesh Meteorological Department (BMD). Study observed that 31.9% of hourly Air Quality Index (AQI) category was unhealthy while the percentage of ‘Good’ was very few. The maximum monthly average concentration was found to be 192.97±89.30 μg/m3 in the month of January while minimum average concentration was 29.98±19.37 μg/m3 in July. Besides, it also found that winter season had highest PM2.5concentration among all seasons. Moreover, the annual concentration was found to be 79.94±75.55 μg/m3 in 2017 which exceeded the National Ambient Air Quality Standard (NAAQS) and World Health Org...

Seasonal variations of gaseous air pollutants (SO2, NO2, O3, CO) and particulates (PM2.5, PM10) in Gazipur: an industrial city in Bangladesh

Advances in Environmental Technology, 2020

The present study assessed the impacts of seasonal variation on the atmospheric abundance of gaseous air pollutants (SO2, NO2, O3, CO) and particulates (PM2.5 and PM10) at Gazipur city. The air pollution data was collected from the study area using a Continuous Air Monitoring Station (CAMS) (CAMS-4, Gazipur) of DoE from October 2017 to September 2018. The highest concentrations of air pollutants were found in the winter (PM2.5=208 μg/m3, PM10=300 μg/m3, NO2=45.1 ppb, CO=3.91 ppm, O3=4.17 ppb) as opposed to those of the post-monsoon (PM2.5=133μg/m3, PM10=169 μg/m3, NO2=23.52 ppb, CO=2.25 ppm, O3=7.71 ppb), pre-monsoon (PM2.5=115 μg/m3, PM10=216 μg/m3, NO2=33.5 ppb, CO=1.75 ppm, O3=4.23 ppb), and monsoon (PM2.5=37.5 μg/m3, PM10=85.6 μg/m3, NO2=13.9 ppb, CO=0.84 ppm, O3=4.23 ppb). The highest concentration of five air pollutants (PM10, PM2.5, NO2, CO, O3)indicated that the higher pollutant load in the winter was associated with large-scale polluted air transported from the brick kiln at a distance of 5-7 km at the sampling site. The wind-rose data analysis indicated that most of the air during the winter season came to the sampling site from the northern part of the Gazipur district, from the brickfield zones. In contrast, a reverse relationship between the rainfall and atmospheric pollution, temperature, and atmospheric pollution load was observed during the pre-monsoon, monsoon, post-monsoon, and winter. This finding revealed that the lowest concentration of air pollutants during monsoon was associated with the washout effect of precipitation on atmospheric pollutants. A moderate correlation (R2=0.58) between CO and O3 pollutants during the study indicated their atmospheric origin by photochemical reactions was associated with volatile organic compounds (VOCs). PM2.5 showed a positive correlation with PM10 (R2=0.84), indicating that both PM2.5 and PM10 were produced from similar pathways of fossil fuel combustion by automobiles and industrial activities. Further, the air quality index (AQI) analysis showed unhealthy atmospheric conditions throughout the year for city dwellers around the study area.

Characterization of Inhalable Ground-Level Ambient Particulate Matter in Dhaka City, Bangladesh

Journal of Scientific Research, 2020

The capital Dhaka of Bangladesh is one of the most densely populated and air polluted cities in the world. This study is aimed to assess the trend of Particulate Matter (PM2.5 and PM10) from 2013 to 2018 in relation to meteorological parameters. PM data were collected from the Continuous Air Monitoring Station (CAMS) at Darus Salam point in Dhaka city. CAMS gather air samples through beta gauge instrument which measures the volume of gas extracted through the stack/duct and calculates mass concentration. In the present study, PM2.5 was 54 % of that of PM10 which is fine particulate matter. PM2.5 and PM10 had the lowest concentration in the month of July due to the highest rainfall rate whereas it was highest in the months of January and December. In addition, annual average concentration of PM2.5 and PM10 is observed to be 5-6 times higher than Bangladesh National Ambient Air Quality Standard (BNAAQS) while higher PM concentrations were observed in winter seasons. This study found s...

The Effect of Meteorological Parameters on Particulate Matter (PM2.5) in Yangon City, Myanmar

Daily average monitoring data for PM2.5 and meteorological parameters at Kaba-aye, Yangon from 2018 to 2021 are analyzed using statistical methods to investigate the effect of meteorological parameters on the PM2.5 concentration and possible source of PM2.5. The study found that, PM2.5 concentration is the highest in the month of February with 41.71 µg/m 3 with the annual increasing rate of 1.96 μg/m 3 per year. The concentration of PM2.5 was observed to be higher during non-monsoon season (November to April) than in monsoon (May to October). The concentration of PM2.5 remained always above the WHO Standard except monsoon season. The significant negative correlation of PM2.5 with rainfall amount and relative humidity in monsoon season, while significant negative correlation with rainfall and mean temperature in non-monsoon season. Diurnal variation of PM2.5 showed bimodal distribution with one maximum in the morning and the other at evening. The observed seasonality and diurnal variability of PM2.5 distributions are attributed mainly to the rush hours of traffic conjunction and climate factors.

The effect of climate and meteorological changes on particulate matter in Pune, India

Environmental Monitoring and Assessment, 2015

This paper presents the distinctiveness of particulate matter (PM) mass concentrations (PM 10 , PM 2.5 , and PM 10-2.5) and meteorological effect in Pune city during 2011-2012. The PM samples were collected using Mini-Vol TAS air sampler (Airmetrics Co. Inc., 5 l min −1 flow rate). The meteorological parameters were also measured during the study period. The analysis of 24-h average PM 10 , PM 2.5 , and PM 10-2.5 concentrations showed the maximum during winter (

Assessment of trends and present ambient concentrations of PM2.2 and PM10 in Dhaka, Bangladesh

Air Quality, Atmosphere & Health, 2008

The present air quality has been studied at two air quality monitoring stations in Dhaka, the capital of Bangladesh. One site at the Farm Gate area is a particulate matter (PM) hot spot (HSD) with very high pollutant concentrations because of its proximity to major roadways. The other site is in a semi-residential area (SR) located at the Atomic Energy Centre, Dhaka Campus with relatively less traffic. The samples were collected using a 'Gent' stacked filter unit in two fractions of 0-2.2 and 10-2.2 μm sizes. Samples of fine (PM 2.2 ) and coarse (PM 10-2.2 ) airborne particulate matter collected between 2000 and 2005 were studied. It has been observed that fine particulate matter concentrations at the HSD have decreased from over this period to less than half of the initial value even with an increasing number of vehicles. This decrease is likely the result of governmental policy interventions such as the requirement of vehicle maintenance, training of repair workers, and phase-wise removal of two-stroke three wheelers from the roads in Dhaka with a complete ban of their commercial use beginning on January 1, 2003. Other policy interventions were banning of old buses and trucks from operating in Dhaka, promotion of the compressed natural gas, introduction of pollution control devices on vehicles, control of emissions from industries, etc. It was found that both local (mostly from vehicular emissions and seasonal brick kilns) are responsible for the high PM 2.2 and black carbon concentrations in Dhaka. PM 2.2 , PM 10-2.2 , and black carbon concentration levels depend on the season, wind direction, and wind speed. PM 10-2.2 has not been the focus of policy decisions, and the decrease in concentrations has been much smaller than were observed for the PM 2.2 . There is also some indication of the role of transport of PM 2.2 from regional sources.