scholarly journals Application of hysplit model to evaluate the relationship between meteorological parameters and PM10 content in the atmospheric environment in Ha Noi city, Vietnam

2020 ◽  
Vol 3 (2) ◽  
pp. First
Author(s):  
Anh Dung Nguyen ◽  
Hồng Sơn Dương ◽  
Đức Hạnh Nguyễn Thế ◽  
Nguyen Dac Dong
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Wind Speed ◽  
Wind Direction ◽  
Meteorological Parameters ◽  
Meteorological Factors ◽  
Pollution Sources ◽  
Atmospheric Environment ◽  
Hysplit Model ◽  
The Relationship

Meteorology is one of the factors that plays an important role in assessing the quality of the atmospheric environment. Regarding the air pollution, especially dust and gaseous emissions, there are currently few studies on the relationship between meteorological factors and the increase in pollutant concentration. In this study, the relationship between several meteorological parameters such as temperature (TEM), wind speed (WS), wind direction (WD) and PM10 content in Hanoi were evaluated through the Spearman correlation coefficient (r) by SPSS statistical analysis software. Data includes hourly meteorological factors (temperature, wind speed and wind direction) and 24-h PM10 concentration collected at three automatic air quality monitoring stations in Hanoi in 2018. In addition, HYSPLIT model is used to determine the influence of wind direction and contribution of air pollution sources. The results show a negative correlation (r <0) between PM10 content, temperature and wind speed in dry and rainy seasons. During the dry season, Hanoi has a higher PM10 content than the remaining months of the year. This might be partly affected by outside pollution sources from the North and Northwest. The findings emphasize the dependence of air quality on local meteorological conditions and the distribution of major

scholarly journals Spatiotemporal Variations in Particulate Matter and Air Quality over China: National, Regional and Urban Scales

Atmosphere ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 43
Author(s):  
Hao Luo ◽  
Yong Han ◽  
Xinghong Cheng ◽  
Chunsong Lu ◽  
Yonghua Wu
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Air Quality ◽  
Wind Speed ◽  
Wind Direction ◽  
Industrial Development ◽  
Northwest China ◽  
Temporal And Spatial Distribution ◽  
Ambient Exposure ◽  
Pm2.5 Concentration

Ambient exposure to particulate matter (PM) air pollution is known to have an adverse effect on public health worldwide. Rapid increase rates of economic and urbanization, industrial development, and environmental change in China have exacerbated the occurrence of air pollution. This study examines the temporal and spatial distribution of PM on national, regional and local scales in China during 2014–2016. The relationships between the PM2.5 concentration rising rate (PMRR) and meteorological parameters (wind speed and wind direction) are discussed. The dataset of Air Quality Index (AQI), PM10 (PM diameter < 10 μm ) and PM2.5 (PM diameter < 2.5 μm) were collected in 169, 369, and 367 cities in 2014, 2015, and 2016 over China, respectively. The results show that the air quality has been generally improved on the national scale, but deteriorated locally in areas such as the Feiwei Plain. The northwest China (NW) and Beijing-Tianjin-Hebei (BTH) regions are the worst areas of PM pollution, which are mainly manifested by the excessive PM10 caused by blowing dust in spring in NW and the intensive emissions of PM2.5 in winter in BTH. With the classified seven geographic regions, we demonstrate the significant spatial difference and seasonal variation of PM concentration and PM2.5/PM10 ratio, which indicate different emission sources. Furthermore, the dynamic analysis of the PM2.5 pollution process in 11 large urban cities shows dramatic effects of wind speed and wind direction on the PM2.5 loadings.

scholarly journals Influence of Meteorological Parameters on Air Quality at Hashemite University, Jordan

2017 ◽  
Vol 12 (2) ◽  
pp. 211-221
Author(s):  
Sana’a Odata ◽  
Abu- Allabanb ◽  
Khitam Odibatb
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Wind Speed ◽  
Relative Humidity ◽  
Air Temperature ◽  
Negative Correlation ◽  
Air Pollutants ◽  
Meteorological Parameters ◽  
Positive Correlation ◽  
Hashemite University

Four threshold air pollutants (SO2, NO, NO2, and O3) in addition to meteorological parameters were monitored at the Campus of the Hashemite University (HU) for two years (1/1/2012 through 30/12/013). Correlations between air pollution and meteorological parameters were derived. The results showed that O3 has a positive correlation with air temperature, wind speed and wind direction, but has a negative correlation with the relative humidity (RH). SO2 was found to have a negative correlation with the RH and wind speed, but positive correlation with air temperature. NO has negative correlation with air temperature, RH, and wind speed. And finally, NO2 has a negative correlation with RH and wind speed, but it has positive correlation with air temperature. Justify the reasons in brief with recommendations to improve the air quality

scholarly journals Pengaruh Faktor Meteorologi Terhadap Konsentrasi NO2 di Udara Ambien (Studi Kasus Bundaran Hotel Indonesia DKI Jakarta)

2020 ◽  
Vol 5 (3) ◽  
Author(s):  
Yega Serlina
Keyword(s):  
Air Quality ◽  
Wind Speed ◽  
Power Plants ◽  
Meteorological Factors ◽  
Linear Regression Analysis ◽  
Combustion Process ◽  
Strong Relationship ◽  
Multiple Linear Regression Analysis ◽  
Concentration Data ◽  
The Relationship

A combustion process in power plants, industry and transportation can cause air pollution problems, one of which is the pollutant of Nitrogen Dioxide (NO2) gas. One of the stages of air quality management is monitoring. In monitoring air quality, there are several factors that need to be considered because they can affect the measurement, there are meteorological factors. This study analyzes how temperature, humidity, rainfall and wind speed affect the measured NO2 concentration. NO2 and meteorological concentration data were taken at the same time at the location of the DKI-1 air quality monitoring station (Bundaran Hotel Indonesia, DKI Jakarta). Analysis of the relationship between measured NO2 concentrations with temperature, humidity, rainfall and wind speed was performed using multiple linear regression analysis. The analysis showed that there was a strong relationship between NO2 concentration and four meteorological factors. The R2 value indicates the effect of the four meteorological factors on NO2 concentrations is 38.3% and the remaining 61.7% is influenced by other factors not included in the measurements in this study.

scholarly journals Relevance Analysis on the Variety Characteristics of PM2.5 Concentrations in Beijing, China

2018 ◽  
Vol 10 (9) ◽  
pp. 3228 ◽  
Author(s):  
Binxu Zhai ◽  
Jianguo Chen ◽  
Wenwen Yin ◽  
Zhongliang Huang
Keyword(s):  
Air Pollution ◽  
Spatial Distribution ◽  
Air Quality ◽  
Diurnal Variation ◽  
Wind Direction ◽  
Meteorological Factors ◽  
Distribution Characteristics ◽  
Wind Speeds ◽  
Pollutant Concentrations ◽  
Study Results

Air pollution has become one of the most serious environmental problems in the world. Considering Beijing and six surrounding cities as main research areas, this study takes the daily average pollutant concentrations and meteorological factors from 2 December 2013 to 13 October 2017 into account and studies the spatial and temporal distribution characteristics and the relevant relationship of particulate matter smaller than 2.5 μm (PM2.5) concentrations in Beijing. Based on correlation analysis and geo-statistics techniques, the inter-annual, seasonal, and diurnal variation trends and temporal spatial distribution characteristics of PM2.5 concentration in Beijing are studied. The study results demonstrate that the pollutant concentrations in Beijing exhibit obvious seasonal and cyclical fluctuation patterns. Air pollution is more serious in winter and spring and slightly better in summer and autumn, with the spatial distribution of pollutants fluctuating dramatically in different seasons. The pollution in southern Beijing areas is more serious and the air quality in northern areas is better in general. The diurnal variation of air quality shows a typical seasonal difference and the daily variation of PM2.5 concentrations present a “W” type of mode with twin peaks. Besides emission and accumulation of local pollutants, air quality is easily affected by the transport effect from the southwest. The PM2.5 and PM10 concentrations measured from the city of Langfang are taken as the most important factors of surrounding pollution factors to PM2.5 in Beijing. The concentrations of PM10 and carbon monoxide (CO) concentrations in Beijing are the most significant local influencing factors to PM2.5 in Beijing. Extreme wind speeds and maximal wind speeds are considered to be the most significant meteorological factors affecting the transport of pollutants across the region. When the wind direction is weak southwest wind, the probability of air pollution is greater and when the wind direction is north, the air quality is generally better.

scholarly journals Mechanism of Spatiotemporal Air Quality Response to Meteorological Parameters: A National-Scale Analysis in China

2019 ◽  
Vol 11 (14) ◽  
pp. 3957 ◽  
Author(s):  
Zhi Qiao ◽  
Feng Wu ◽  
Xinliang Xu ◽  
Jin Yang ◽  
Luo Liu
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Wind Speed ◽  
Relative Humidity ◽  
Meteorological Parameters ◽  
Pollution Index ◽  
Hierarchical Cluster ◽  
Meteorological Conditions ◽  
Air Pollution Control ◽  
National Scale

The air quality over China exhibits seasonal and regional variation, resulting from heterogeneity in industrialization, and is highly affected by variability in meteorological conditions. We performed the first national-scale exploration of the relationship between the Air Pollution Index (API) and multiple meteorological parameters in China, using partial correlation and hierarchical cluster analyses. Relative humidity, wind speed, and temperature were the dominant factors influencing air quality year-round, due to their significant effects on pollutant dispersion and/or transformation of pollutants. The response of the API to single or multiple meteorological factors varied among cities and seasons, and a regional clustering of response mechanisms was observed, particularly in winter. Clear north–south differentiation was detected in the mechanisms of API response to relative humidity and wind speed. These findings provide insight into the spatiotemporal variation in air quality sensitivity to meteorological conditions, which will be useful for implementing regional air pollution control strategies.

scholarly journals VARIATION OF PM10 CONCENTRATION DEPENDING ON THE METEOROLOGICAL PARAMETERS IN TWO BUCHAREST MONITORING STATIONS (IN GREEN AREAS)

2020 ◽  
Vol 14 (1) ◽  
Author(s):  
Katalin Bodor ◽  
Réka Boga ◽  
Tímea Pernyeszi ◽  
Szende Tonk ◽  
György Deák
Keyword(s):  
Air Pollution ◽  
Wind Speed ◽  
Wind Direction ◽  
Meteorological Parameters ◽  
Pearson Correlation ◽  
Cold Season ◽  
Pearson Correlation Coefficient ◽  
Green Areas ◽  
The Mean ◽  
Pm10 Emissions

This study presents the assessment of the PM10 emissions in areas from the south of Bucharest and Ilfov county, for a period of 11 years, during 2008-2018, taking into consideration the most important meteorological parameters with influence to air pollution, such as relative humidity, temperature, wind direction, and wind speed. During the study period, the mean annual concentrations of PM10 decreased from 43.92 μg/m3 to 29.67 μg/m3, expressed as a percentage change the decrease was 35.45% and 29.03% at the B-4 and B-7 stations, respectively. The Pearson correlation coefficient was significantly higher in the cold season (November-April). In order to further investigate the relations of air quality and wind direction pollution roses were calculated and the results indicate that the highest concentrations of PM10 occur in B-4 and B-7 at the southwestern and west direction of wind.

VALORIZATION OF THE URBAN ENVIRONMENT OF SOUTH SERBIA FROM THE AIR QUALITY ASPECT

2018 ◽  
Vol 28 (4) ◽  
pp. 1329-1333
Author(s):  
Miodrag Šmelcerović
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Urban Environment ◽  
Pollution Sources ◽  
Anthropogenic Sources ◽  
Anthropogenic Factors ◽  
Limit Values ◽  
Cause And Effect ◽  
Sources Of Pollution

The protection of the environment and people’s health from negative influences of the pollution of air as a medium of the environment requires constant observing of the air quality in accordance with international standards, the analysis of emission and imission of polluting matters in the air, and their connection with the sources of pollution. Having in mind the series of laws and delegated legislations which define the field of air pollution, it is necessary to closely observe these long-term processes, discovering cause-and-effect relationships between the activities of anthropogenic sources of emission of polluting matters and the level of air degradation. The relevant evaluation of the air quality of a certain area can be conducted if the level of concentration of polluting matters characteristic for the pollution sources of this area is observed in a longer period of time. The data obtained by the observation of the air pollution are the basis for creation of the recovery program of a certain area. Vranje is a town in South Serbia where there is a bigger number of anthropogenic pollution sources that can significantly diminish the air quality. The cause-and-effect relationship of the anthropogenic sources of pollution is conducted related to the analysis of systematized data which are in the relevant data base of the authorized institution The Institute of Public Health Vranje, for the time period between the year of 2012. and 2017. By the analysis of data of imission concentrations of typical polluting matters, the dominant polluting matters were determined on the territory of the town of Vranje, the ones that are the causers of the biggest air pollution and the risk for people’s health. Analysis of the concentration of soot, sulfur dioxide and nitrogen oxides indicates their presence in the air of Vranje town area in concentrations that do not exceed the permitted limit values annually. The greatest pollution is caused by the soot content in the air, especially in the winter period when the highest number of days with the values above the limit was registered. By perceiving the influence of natural and anthropogenic factors, it is clear that the concentration of polluting matters can be decreased only by establishing control over anthropogenic sources of pollution, and thus it can be contributed to the improvement of the air quality of this urban environment.

scholarly journals Air Quality Assessment in the State of Kuwait during 2012 to 2017

Atmosphere ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 678
Author(s):  
Adeeba Al-Hurban ◽  
Sawsan Khader ◽  
Ahmad Alsaber ◽  
Jiazhu Pan
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Meteorological Factors ◽  
Ambient Air ◽  
The State ◽  
Ambient Air Pollution ◽  
Northeast Monsoon ◽  
Residential Areas ◽  
Industrial Areas ◽  
The State Of Kuwait

This study aimed to examine the trend of ambient air pollution (i.e., ozone (O3), nitrogen monoxide (NO), nitrogen dioxide (NO2), nitrogen oxides (NOx), sulfur dioxide (SO2), carbon monoxide (CO), benzene (C6H6) and particulate matter with an aerodynamic diameter smaller than 10 microns (PM10), and non-methane hydrocarbons (NMHCs) at 10 monitoring stations located in the main residential and industrial areas in the State of Kuwait over 6 years (2012–2017). We found that the SO2 level in industrial areas (0.065 ppm) exceeded the allowable range of SO2 in residential areas (0.030 ppm). Air pollution variables were defined by the Environmental Public Authority of Kuwait (K-EPA). In this study, integrated statistical analysis was performed to compare an established air pollution database to Kuwait Ambient Air Quality Guidelines and to determine the association between pollutants and meteorological factors. All pollutants were positively correlated, with the exception of most pollutants and PM10 and O3. Meteorological factors, i.e., the ambient temperature, wind speed and humidity, were also significantly associated with the above pollutants. Spatial distribution mapping indicated that the PM10 level remained high during the southwest monsoon (the hot and dry season), while the CO level was high during the northeast monsoon (the wet season). The NO2 and O3 levels were high during the first intermonsoon season.

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