Study of seasonal variation of PM2.5 concentration associated with meteorological parameters at residential sites in Delhi, India

2021 ◽  
Author(s):  
Bhupendra Pratap Singh ◽  
Deepak Singh ◽  
Krishan Kumar ◽  
Vinod Kumar Jain
Keyword(s):  
Seasonal Variation ◽  
Meteorological Parameters ◽  
Pm2.5 Concentration

scholarly journals Role of Meteorological Parameters in the Diurnal and Seasonal Variation of NO2 in a Romanian Urban Environment

2020 ◽  
Vol 17 (17) ◽  
pp. 6228 ◽  
Author(s):  
Mirela Voiculescu ◽  
Daniel-Eduard Constantin ◽  
Simona Condurache-Bota ◽  
Valentina Călmuc ◽  
Adrian Roșu ◽  
...  
Keyword(s):  
Seasonal Variation ◽  
Relative Humidity ◽  
Urban Environment ◽  
Meteorological Parameters ◽  
Time Of Day ◽  
Ozone Monitoring Instrument ◽  
Vertical Column ◽  
Summer Minimum

The main purpose of this study was to investigate whether meteorological parameters (temperature, relative humidity, direct radiation) play an important role in modifying the NO2 concentration in an urban environment. The diurnal and seasonal variation recorded at a NO2 traffic station was analyzed, based on data collected in situ in a Romanian city, Braila (45.26° N, 27.95° E), during 2009–2014. The NO2 atmospheric content close to the ground had, in general, a summer minimum and a late autumn/winter maximum for most years. Two diurnal peaks were observed, regardless of the season, which were more evident during cold months. Traffic is an important contributor to the NO2 atmospheric pollution during daytime hours. The variability of in situ measurements of NO2 concentration compared relatively well with space-based observations of the NO2 vertical column by the Ozone Monitoring Instrument (OMI) satellite for most of the period under scrutiny. Data for daytime and nighttime (when the traffic is reduced) were analyzed separately, in the attempt to isolate meteorological effects. Meteorological parameters are not fully independent and we used partial correlation analysis to check whether the relationships with one parameter may be induced by another. The correlation between NO2 and temperature was not coherent. Relative humidity and solar radiation seemed to play a role in shaping the NO2 concentration, regardless of the time of day, and these relationships were only partially interconnected.

Occurrence of acute cardiovascular diseases under different atmospheric parameters

2014 ◽  
Vol 155 (27) ◽  
pp. 1078-1082 ◽  
Author(s):  
Nora Boussoussou ◽  
Melinda Boussoussou ◽  
László Entz ◽  
Attila Nemes
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Seasonal Variation ◽  
Cardiovascular Diseases ◽  
Vascular Surgery ◽  
Atmospheric Pressure ◽  
Meteorological Parameters ◽  
Atmospheric Parameters ◽  
Prevention Strategies ◽  
Maximum Daily Temperature

Introduction: Research on the effects of meteorological parameters on cardiovascular diseases may allow the development of novel prevention strategies. Aim: The aim of the authors was to examine the correlation between meteorological parameters and the occurrence of acute cardiovascular diseases. Method: A retrospective analysis was performed in 343 patients diagnosed with acute cardiovascular disease and treated at the Department of Vascular Surgery, Semmelweis University in 2010. Results: Acute cardiovascular diseases showed a seasonal variation with the highest occurrence in winter months (p = 0.0001). The daily increase of the events (n≥3) were associated with front movements days (in 62.5% of cases). A significant correlation was found between the intraday temperature difference (p<0.0001), the intraday atmospheric pressure difference (p = 0.0034), the lowest maximum daily temperature (p<0.0001) and the occurrence of acute cardiovascular diseases. During the days with front movements 64% of the patients were older than 66 years of age. Among risk factors, hypertension showed front sensitivity. Conclusions: Meteorological parameters are minor risk factors in the occurrence of acute cardiovascular diseases. Orv. Hetil., 2014, 155(27), 1078–1082.

scholarly journals The Role of Meteorological Conditions and Pollution Control Strategies in Reducing Air Pollution in Beijing during APEC 2014 and Parade 2015

2017 ◽  
Author(s):  
Pengfei Liang ◽  
Tong Zhu ◽  
Yanhua Fang ◽  
Yingruo Li ◽  
Yiqun Han ◽  
...  
Keyword(s):  
Air Pollution ◽  
Pollution Control ◽  
Meteorological Parameters ◽  
Control Strategies ◽  
Meteorological Conditions ◽  
Air Pollutant ◽  
Pollutant Concentrations ◽  
Air Pollutant Concentrations ◽  
Pm2.5 Concentration

Abstract. To control severe air pollution in China, comprehensive pollution control strategies have been implemented throughout the country in recent years. To evaluate the effectiveness of these strategies, the influence of meteorological conditions on levels of air pollution needs to be determined. We therefore developed a generalized linear regression model (GLM) to establish the relationship between the concentrations of air pollutants and meteorological parameters. Using the intensive air pollution control strategies implemented during the Asia-Pacific Economic Cooperation Forum in 2014 (APEC 2014) and the Victory Parade for the Commemoration of the 70th Anniversary of the Chinese Anti-Japanese War and the World Anti-Fascist War in 2015 (Parade 2015) as examples, we estimated the role of meteorological conditions and pollution control strategies in reducing air pollution levels in Beijing. During the APEC (1 October to 31 December 2014) and Parade (1 August to 31 December 2015) sampling periods, atmospheric particulate matter of aerodynamic diameter ≤ 2.5 μm (PM2.5) samples were collected and gaseous pollutants (SO2, NO, NOx, and O3) were measured online at a site in Peking University (PKU). The concentrations of all pollutants except ozone decreased dramatically (by more than 20 %) during both events, compared with the levels during non-control periods. To determine the influence of meteorological conditions on the levels of air pollution, we first compared the air pollutant concentrations during days with stable meteorological conditions (i.e. when the daily average wind speed (WS) was less than 2.50 m s−1 and planetary boundary layer (PBL) height was lower than 290 m). We found that the average PM2.5 concentration during APEC decreased by 45.7 % compared with the period before APEC and by 44.4 % compared with the period after APEC. This difference was attributed to emission reduction efforts during APEC. However, there were few days with stable meteorological conditions during Parade. As such, we were unable to estimate the level of emission reduction efforts during this period. Finally, GLMs based only on meteorological parameters were built to predict air pollutant concentrations, which could explain more than 70 % of the variation in air pollutant concentration levels, after incorporating the nonlinear relationships between certain meteorological parameters and the concentrations of air pollutants. Evaluation of the GLM performance revealed that the GLM, even based only on meteorological parameters, could be satisfactory to estimate the contribution of meteorological conditions in reducing air pollution, and hence the contribution of control strategies in reducing air pollution. Using the GLM, we found that the meteorological conditions and pollution control strategies contributed 30 % and 28 % to the reduction of the PM2.5 concentration during APEC 2014, and 38 % and 25 % during Parade 2015. We also estimated the contribution of meteorological conditions and control strategies implemented during the two events in reducing the concentrations of gaseous pollutants and PM2.5 components with the GLMs, revealing the effective control of anthropogenic emissions.

The role of atmospheric dispersion in the seasonal variation of PM1 and PM2.5 concentration and composition in the urban area of Milan (Italy)

2004 ◽  
Vol 38 (27) ◽  
pp. 4437-4446 ◽  
Author(s):  
R. Vecchi ◽  
G. Marcazzan ◽  
G. Valli ◽  
M. Ceriani ◽  
C. Antoniazzi
Keyword(s):  
Seasonal Variation ◽  
Urban Area ◽  
Atmospheric Dispersion ◽  
Pm2.5 Concentration

scholarly journals Seasonal variation and chemical characterization of PM<sub>2.5</sub> in northwestern Philippines

2018 ◽  
Vol 18 (7) ◽  
pp. 4965-4980 ◽  
Author(s):  
Gerry Bagtasa ◽  
Mylene G. Cayetano ◽  
Chung-Shin Yuan
Keyword(s):  
Seasonal Variation ◽  
East Asia ◽  
Mass Concentration ◽  
The Philippines ◽  
Sea Salt ◽  
Back Trajectory ◽  
Northwestern Pacific ◽  
Northeast Monsoon ◽  
Fine Particulate ◽  
Pm2.5 Concentration

Abstract. The seasonal and chemical characteristics of fine particulate matter (PM2.5) were investigated in Burgos, Ilocos Norte, located at the northwestern edge of the Philippines. Each 24 h sample of fine aerosol was collected for four seasons. Fine particulate in the region shows strong seasonal variation in both concentration and composition. Highest mass concentration was seen during the boreal spring season with a mean mass concentration of 21.6 ± 6.6 µg m−3, and lowest was in fall with a mean concentration of 8.4 ± 2.3 µg m−3. Three-day wind back trajectory analysis of air mass reveals the influence of the northwestern Pacific monsoon regimes on PM2.5 concentration. During southwest monsoon, sea salt was the dominant component of fine aerosols carried by moist air from the South China Sea. During northeast monsoon, on the other hand, both wind and receptor model analysis showed that higher particulate concentration was due to the long-range transport (LRT) of anthropogenic emissions from northern East Asia. Overall, sea salt and soil comprise 33 % of total PM2.5 concentration, while local biomass burning makes up 33 %. LRT of industrial emission, solid waste burning and secondary sulfate from East Asia have a mean contribution of 34 % to the total fine particulate for the whole sampling period.

scholarly journals Seasonal variation and chemical characterization of PM<sub>2.5</sub> in northwestern Philippines

2017 ◽  
Author(s):  
Gerry Bagtasa ◽  
Mylene G. Cayetano ◽  
Chung-Shin Yuan
Keyword(s):  
Seasonal Variation ◽  
East Asia ◽  
Mass Concentration ◽  
Chemical Characterization ◽  
The Philippines ◽  
Sea Salt ◽  
Back Trajectory ◽  
Northeast Monsoon ◽  
Fine Particulate ◽  
Pm2.5 Concentration

Abstract. The seasonal and chemical characteristic of fine particulate matter (PM2.5) was investigated in Burgos, Ilocos Norte, located at the northwestern edge of the Philippines. Each 24H-sample of fine aerosol was collected for two weeks every season. Fine particulate in the region shows strong seasonal variation in both concentration and composition. Highest mass concentration was seen during the boreal spring season with a mean mass concentration of 21.59 μg m-3, and lowest was in fall with a mean concentration of 8.44 μg m-3. Three-day wind back trajectory analysis of air mass reveals the influence of the North Western Pacific monsoon regimes on PM2.5 concentration. During southwest monsoon, sea salt is the dominant component of fine aerosols carried by moist air from the South China Sea. During northeast monsoon, on the other hand, both wind and receptor model (USEPA PMF) analysis showed that higher particulate concentration was due to the Long Range Transport (LRT) of anthropogenic emissions from the northern East Asia. Overall, sea salt and soil comprise 33 % of total PM2.5 concentration while local biomass burning makes up 33 %. LRT of industrial emission, solid waste burning and secondary sulfate from East Asia have a mean contribution of 34 % to the total fine particulate for the whole sampling period.

scholarly journals Concentration of the PM2.5 according to the sampling areas associated with the concentration of heavy metals and anions in Penang

2021 ◽  
Vol 9 (1) ◽  
pp. 13-19
Author(s):  
Suvennie Saseetheran ◽  
Bawani Selvam ◽  
Norrimi Rosaida Awang ◽  
Mahani Yusoff ◽  
Abdus Salam Mohamed
Keyword(s):  
Heavy Metals ◽  
Meteorological Parameters ◽  
Pearson Correlation ◽  
Industrial Area ◽  
Icp Ms ◽  
The Mean ◽  
And Control ◽  
Mean Concentration ◽  
Pm2.5 Concentration ◽  
Descriptive Statistical Analysis

Particulate matter (PM) was identified as the main air pollutants in Malaysia which directly impose a treat to human health and understanding this pollutant is also crucial for its mitigation and control. This study aims to determine and characterize the PM2.5 with the influence of meteorological parameters. The PM2.5 samples were collected at Perai, Nibong Tebal and highway of Penang Bridge represented the industrial, residential, and roadside areas of Mainland Penang, respectively. The descriptive statistical analysis was conducted to understand the variations of PM2.5 concentration on the study areas, while its relationship with meteorological parameters were tested using Pearson correlation. Eleven heavy metals and three anions were determined using mass spectrometry (ICP-MS) and Ion Chromatography, respectively. Results showed that the mean concentration of PM2.5 are 10.88 ?g/m³, 31.96 ?g/m³, and 39.35 g/m³ for residential area, industrial area, and roadside, respectively. The results revealed that mean concentrations of PM2.5 (39.35 ?g/m³) in the roadside are significantly higher than NAAQG 24-h average of 35 ?g/m³. Result also suggested that meteorological parameters were lest significant in controlling the PM2.5 concentrations as only the air pressure was found to be significant with the value of correlation coefficient of 0.476. The major components such as SO42-, K and Na account for about 70-90% of the PM2.5.

scholarly journals Influence of Meteorological Variables on Ambient Air Pollutants of a Coastal District in Eastern India

2021 ◽  
Vol 37 (1) ◽  
pp. 194-203
Author(s):  
SS Kalikinkar Mahanta ◽  
Sharada Shrinivas Patil ◽  
Bhagirathi Mahanta ◽  
Kushalindu Biswas ◽  
Rojalin Sahu ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Pollutants ◽  
Meteorological Parameters ◽  
Winter Season ◽  
Pollution Index ◽  
Ambient Air ◽  
Data Sets ◽  
Air Pollution Index ◽  
Clean Air ◽  
Pm2.5 Concentration

The study of various air pollutants and meteorological parameters are very important for all the researchers. Baleswar was known to be a seaside Districts of Odisha which is the economic and cultural heart of Northern Odisha. The aim of this study is to measure the air pollutants, meteorological parameters and to enumerate the air pollution index at three specific sites (Sahadevkhunta, Mallikashpur, Rasalpur) according to CPCB procedures. The air pollutants analysed by supplying through specific absorbing reagents and the pollutants were analysed up to 3 year (2017, 2018 and 2019) with a regularity of thrice per week. Analyses of our data sets showing that SO2 and NO2 concentration during summer, rainy and winter season are within the prescribe standard of NAAQS by CPCB but PM10 and PM2.5 are above the prescribed standard except PM2.5 concentration of rainy season in year 2019. Air pollution index is remaining in the condition between clean air (CA) to moderate air pollution (MAP) and it shows that the pollution index in all the sites are reducing from the year 2017 to 2019 may be due to enhancing technologies to reduce the pollutant concentration in air.

scholarly journals Severe winter haze days in the Beijing–Tianjin–Hebei region from 1985 to 2017 and the roles of anthropogenic emissions and meteorology

2019 ◽  
Vol 19 (16) ◽  
pp. 10801-10816 ◽  
Author(s):  
Ruijun Dang ◽  
Hong Liao
Keyword(s):  
Meteorological Parameters ◽  
Transport Model ◽  
Process Analysis ◽  
Dominant Role ◽  
Anthropogenic Emissions ◽  
Steady Increase ◽  
Severe Winter ◽  
Chemical Transport Model ◽  
Haze Days ◽  
Pm2.5 Concentration

Abstract. We applied a global 3-D chemical transport model (GEOS-Chem) to examine the variations in the frequency and intensity in severe winter haze days (SWHDs) in Beijing–Tianjin–Hebei (BTH) from 1985 to 2017 and quantified the roles of changes in anthropogenic emissions and/or meteorological parameters. Observed SWHDs were defined as the days with daily mean PM2.5 concentration exceeding 150 µg m−3, and simulated SWHDs were identified by using the same threshold but with adjustment on the basis of simulation biases. Comparisons between the simulated SWHDs and those obtained from the observed PM2.5 concentrations and atmospheric visibility showed that the model can capture the spatial and temporal variations in SWHDs in China; the correlation coefficient between the simulated and observed SWHDs is 0.98 at 161 grids in China. From 1985 to 2017, with changes in both anthropogenic emissions and meteorological parameters, the simulated frequency (total severe haze days in winter) and intensity (PM2.5 concentration averaged over severe haze days in winter) of SWHDs in BTH showed increasing trends of 4.5 d per decade and 13.5 µg m−3 per decade, respectively. The simulated frequency exhibited fluctuations from 1985 to 2017, with a sudden decrease from 1992 to 2001 (29 to 10 d) and a rapid growth from 2003 to 2012 (16 to 47 d). The sensitivity simulations indicated that variations in meteorological parameters played a dominant role during 1992–2001, while variations in both emissions and meteorological parameters were important for the simulated frequency trend during 2003–2012 (simulated trends were 27.3 and 12.5 d per decade owing to changes in emissions alone and changes in meteorology alone, respectively). The simulated intensity showed a steady increase from 1985 to 2017, which was driven by changes in both emissions and meteorology. Process analysis on all SWHDs during 1985–2017 indicated that transport was the most important process for the formation of SWHDs in BTH with a relative contribution of 65.3 %, followed by chemistry (17.6 %), cloud processes (−7.5 %), dry deposition (−6.4 %), and planetary boundary layer (PBL) mixing (3.2 %). Further examination showed that SWHDs exhibited large interannual variations in frequency and intensity, which were mainly driven by changes in meteorology. The results of this study have important implications for the control of SWHDs in BTH.

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