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 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 ESTIMATION OF PM<sub>2.5</sub> VERTICAL DISTRIBUTION USING CUSTOMIZED UAV AND MOBILE SENSORS IN BRGY. UP CAMPUS, DILIMAN, QUEZON CITY

2018 ◽  
Vol XLII-4/W9 ◽  
pp. 89-103 ◽  
Author(s):  
J. B. Babaan ◽  
J. P. Ballori ◽  
A. M. Tamondong ◽  
R. V. Ramos ◽  
P. M. Ostrea
Keyword(s):  
Air Quality ◽  
Wind Speed ◽  
Relative Humidity ◽  
Vertical Distribution ◽  
Unmanned Aerial Vehicle ◽  
Meteorological Parameters ◽  
Flying Height ◽  
Quezon City ◽  
Aerial Vehicle ◽  
The Vertical Distribution

<p><strong>Abstract.</strong> As the unmanned aerial vehicle (UAV) technology has gained popularity over the years, it has been introduced for air quality monitoring. This study demonstrates the feasibility of customized UAV with mobile monitoring devices as an effective, flexible, and alternative means to collect three-dimensional air pollutant concentration data. This also shows the vertical distribution of PM concentration and the relationship between the PM<sub>2.5</sub> vertical distribution and the meteorological parameters within 500<span class="thinspace"></span>m altitude on a single flight in UP Diliman, Quezon City. Measurement and mapping of the vertical distribution of particulate matter (PM)<sub>2.5</sub> concentration is demonstrated in this research using integrated air quality sensors and customized Unmanned Aerial Vehicle. The flight covers an area with a radius of 80 meters, following a cylindrical path with 40-meter interval vertically. The PM<sub>2.5</sub> concentration values are analyzed relative to the meteorological parameters including air speed, pressure, temperature, and relative humidity up to a 500<span class="thinspace"></span>meter-flying height in a single flight in Barangay UP Campus, UP Diliman, Quezon City. The study shows that generally, the PM<sub>2.5</sub> concentration decreases as the height increases with an exception in the 200&amp;ndash;280<span class="thinspace"></span>m above ground height interval due to a sudden change of atmospheric conditions at the time of the flight. Using correlation and regression analysis, the statistics shows that PM<sub>2.5</sub> concentration has a positive relationship with temperature and a negative relationship with relative humidity and wind speed. As relative humidity and wind speed increases, PM<sub>2.5</sub> decreases, while as temperature increases, PM<sub>2.5</sub> also increases.</p>

scholarly journals Impacts of meteorological conditions on PM2.5 and PM10 pollution in Zhengzhou, China

2021 ◽  
Vol 257 ◽  
pp. 03025
Author(s):  
Rui Gao ◽  
Bairong Wang ◽  
Shunxiang Huang
Keyword(s):  
Air Quality ◽  
Relative Humidity ◽  
Meteorological Parameters ◽  
Meteorological Conditions ◽  
Backward Trajectory ◽  
Aerosol Pollution ◽  
Reduce Emissions ◽  
Pm2.5 And Pm10 ◽  
The Relationship ◽  
Local Emissions

Meteorological conditions play an important role in aerosol pollution. In this study, the relationships between wind, temperature, relative humidity, and aerosol concentrations (PM2.5 and PM10) in Zhengzhou from January 2016 to December 2017 were analysed. Backward trajectory model was also used to investigate the relationship between meteorological parameters and regional transport of pollutants. Significant seasonal variations can be observed in the time series of pollutants and wind, temperature and relative humidity. The simulation of backward trajectories indicated that pollutants from southeast is critical to the air quality in Zhengzhou, in addition to local emissions of pollutants. To improve the air quality in Zhengzhou, joint efforts to reduce emissions in both Zhengzhou and its southeast adjacent regions should be considered.

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 Effects of meteorological variables and holidays on the concentrations of PM10, PM2.5, O3, NO2, SO2, and CO in Tehran (2014-2018)

2019 ◽  
Author(s):  
Mostafa Hadei ◽  
Maryam Yarahmadi ◽  
Ahmad Jonidi Jafari ◽  
Mohsen Farhadi ◽  
Seyed Saeed Hashemi Nazari ◽  
...  
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Air Quality ◽  
Pollution Control ◽  
Meteorological Parameters ◽  
Air Pollution Control ◽  
Pollution Levels ◽  
Criteria Air Pollutants ◽  
High Concentrations ◽  
Autumn And Winter

Introduction: The aim of this study was to investigate the concentrations   of PM10, PM2.5, O3, NO2, SO2, and CO in Tehran during March 2014-March 2018, and evaluate the effects of holidays and meteorological parameters on   the air pollution levels.   Materials and methods: Hourly concentrations of PM10, PM2.5, O3, NO2, SO2, and CO in different air quality monitors of Tehran were acquired. The data from each air quality monitored were validated, and only high-quality monitors were included in this study.   Results: The 4-year averages of PM10, PM2.5, O3, NO2, SO2, and CO concen-trations were 88.74 (µg/m3), 31.02 (µg/m3), 34.87 (ppb), 71.01 (ppb), 20.04   (ppb), and 3.78 (ppm), respectively. Higher concentrations of PM10 and O3 were observed during summer. In case of PM2.5 and CO, autumn and winter concentrations were higher than those in springer and summer. Lower concen-trations of PM10 and NO2 in Fridays were observed comparing to other days of week. Ozone had high concentrations in Fridays as the weekend in Iran. Except for O3, all of the pollutants had higher concentrations in the working days, comparing to those in any type of vacation days. Concentrations of all pollutants rather that SO2 and O3 in Nowruz holidays were statistically lower than those in the working days. By controlling for the effects of meteorologi-cal variables, our results showed that the air pollution control policies and ac-tions have been not effective for particulate matter.   Conclusion: These results determines the time periods in which the concen-trations of criteria air pollutants are high. This can be very useful for an-nouncing alarms for citizens, and designing the air pollution control plans. In addition, more effective actions should be designed and implemented for reducing ambient levels of particulate matter.

scholarly journals Air pollutants associated with surface meteorological conditions in São Paulo’s ABC region

2021 ◽  
Vol 56 (3) ◽  
pp. 459-469
Author(s):  
Mariana Devincentis Silva ◽  
Maria Carla Queiroz Diniz Oliveira ◽  
Anita Drumond ◽  
Luciana Varanda Rizz
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Relative Humidity ◽  
Regional Scale ◽  
Meteorological Conditions ◽  
Summer Drought ◽  
Emission Sources ◽  
Potential Health ◽  
Diurnal Variability ◽  
Local Emission

Air pollution is one the main environmental problems in urban areas like the Metropolitan Area of São Paulo (MASP) in Brazil, where millions of inhabitants are exposed to pollution concentrations above the standards, with potential health impacts. Exposure is unequal throughout MASP, relying on the dynamics of local emission sources interplaying with weather and climate in a regional scale. The ABC region — ABC standing for Santo André, São Bernardo do Campo and São Caetano do Sul, the cities the area originally comprised of — is MASP’s largest industrial center, sitting in its southeast border, and encloses environmental protection areas. That leads to a unique emission profile that differ from the metropolis center. This study aims to characterize the variability of atmospheric pollutants in the ABC region in 2015, investigating possible sources and associations with surface meteorological conditions. Multivariate statistical analyses were applied to data from seven air quality monitoring stations and surface meteorological variables. Results show that São Bernardo do Campo stood out, with O3 concentrations 20% higher (43±19 µg.m-3) than the other sites, while São Caetano do Sul had the highest annual mean PM10 concentrations (39±19 µg.m-3), mostly related to vehicular emissions. Relative humidity was negatively correlated with primary pollutants, while temperature and radiation correlated with O3. Unusually high O3 concentrations were observed in January of 2015, concomitant with negative anomalies of precipitation and relative humidity, likely associated with the 2014/2015 summer drought event in Southeast Brazil. Overall, results show that local emission sources significantly impact air pollution loading and its diurnal variability, particularly in the case of primary pollutants. Climate modulates the seasonal concentration variability, and regional scale weather phenomena may impact air quality conditions. To reach concentration standards everywhere, policy makers must be aware of processes occurring in different spatial scales that determine air quality.

scholarly journals Spatiotemporal Variations of Particulate and Gaseous Pollutants and Their Relations to Meteorological Parameters: The Case of Xiangyang, China

2019 ◽  
Vol 17 (1) ◽  
pp. 136
Author(s):  
Wei Xue ◽  
Qingming Zhan ◽  
Qi Zhang ◽  
Zhonghua Wu
Keyword(s):  
Air Quality ◽  
Wind Speed ◽  
Relative Humidity ◽  
Air Pollutants ◽  
Meteorological Parameters ◽  
Air Pollutant ◽  
Weekend Effect ◽  
Gaseous Pollutants ◽  
Statistical Point ◽  
Particulate Pollutants

High air pollution levels have become a nationwide problem in China, but limited attention has been paid to prefecture-level cities. Furthermore, different time resolutions between air pollutant level data and meteorological parameters used in many previous studies can lead to biased results. Supported by synchronous measurements of air pollutants and meteorological parameters, including PM2.5, PM10, total suspended particles (TSP), CO, NO2, O3, SO2, temperature, relative humidity, wind speed and direction, at 16 urban sites in Xiangyang, China, from 1 March 2018 to 28 February 2019, this paper: (1) analyzes the overall air quality using an air quality index (AQI); (2) captures spatial dynamics of air pollutants with pollution point source data; (3) characterizes pollution variations at seasonal, day-of-week and diurnal timescales; (4) detects weekend effects and holiday (Chinese New Year and National Day holidays) effects from a statistical point of view; (5) establishes relationships between air pollutants and meteorological parameters. The principal results are as follows: (1) PM2.5 and PM10 act as primary pollutants all year round and O3 loses its primary pollutant position after November; (2) automobile manufacture contributes to more particulate pollutants while chemical plants produce more gaseous pollutants. TSP concentration is related to on-going construction and road sprinkler operations help alleviate it; (3) an unclear weekend effect for all air pollutants is confirmed; (4) celebration activities for the Chinese New Year bring distinctly increased concentrations of SO2 and thereby enhance secondary particulate pollutants; (5) relative humidity and wind speed, respectively, have strong negative correlations with coarse particles and fine particles. Temperature positively correlates with O3.

Change Trends and Corresponding Meteorological Character of Air Pollition in Beijing

2011 ◽  
Vol 183-185 ◽  
pp. 1209-1214
Author(s):  
Hai Yan Ding ◽  
Xiao Ling Zhang ◽  
Wei Wei Pu ◽  
Di He
Keyword(s):  
Air Quality ◽  
Wind Speed ◽  
Meteorological Data ◽  
Pollution Index ◽  
Meteorological Conditions ◽  
Pollutant Concentration ◽  
North West ◽  
Average Value ◽  
The North ◽  
North Wind

Based on the monitoring data of air quality and meteorological data from 2003 to 2009 in Beijing, the change of air quality and pollutants concentration are analyzed, and their relationship with meteorological conditions are figured out. The results showed below.(1)The annual average value of API (Air Pollution Index) decreased from 2007 gradually, and the value of 2008 is equal to 86.3% of 2007. As to monthly changing trend of API, the value in April is highest, and is lowest in august. API in summer is lowest relatively in all-year, and it is worst in spring. (2)The pollutants concentration of PM2.5, SO2, NO2, and NOX showed decreasing trends from 2006 to 2009. The monthly changing trends of PM2.5, SO2, NO2, and O3 were different. The monthly average concentrations of NOX SO2, NO2 and NOX were lowest in July, while the high values appeared in different month.(3)Correlation between pollutant concentration and meteorological conditions are figured out: SO2, NO2 and NOX are negative related to temperature, wind speed and sunlight hours and positive related to humidity, while O3 is adverse. PM2.5 is well related to relative humidity and cloud cover. PM2.5, SO2, NO2 and NOX are all positive related to wind speed.(4)The air quality and pollutant concentration displayed significant in different under each wind direction. When north wind blows, the average value of API is lowest relatively and south wind is adverse. The concentration of PM2.5, SO2, NO2 and NOX are lower when Beijing is controlled by the north wind or north-west wind.

scholarly journals The effect of meteorological conditions on hazel (Corylus spp.) and alder (Alnus spp.) pollen concentration in the air of Szczecin

2012 ◽  
Vol 60 (2) ◽  
pp. 65-70 ◽  
Author(s):  
Małgorzata Puc
Keyword(s):  
Wind Speed ◽  
Relative Humidity ◽  
Air Temperature ◽  
Pollen Season ◽  
Meteorological Parameters ◽  
Meteorological Conditions ◽  
Maximum Temperature ◽  
Pollen Count ◽  
Pollen Concentration ◽  
In The Beginning

The aim of the study was to determine seasonal variations in concentrations of hazel and alder pollen count due to meteorological parameters. Measurements were performed using the volumetric method. The analysed meteorological parameters were the maximum temperature, relative humidity, rainfall and wind speed. The beginning and end of a season were established by the 95 % method. During seven years of study, the highest concentration of hazel pollen in the air was noted in 2003 (the total number was two - three times higher than in the other years), with the pollen season starting in most years in the beginning of January and lasting till the end of March or beginning of April. The highest concentration of alder pollen in the air was noted in 2003, similarly as hazel pollen. The pollen season started in the beginning of January (in 2003 and 2006 in the beginning of March) and lasted till the turn of the March and April. The highest pollen count of 674 grains×m<sup>-3</sup> was observed in the end of March. A positive and statistically signifi cant correlation (Pearson's coeffi cient and multiple regression) was found between the hazel and alder pollen concentration and air temperature and wind speed. A negative correlation was found in case of the relative humidity. A lot of analysed correlations were signifi cant (significance level of p=0.05), although the percentage of explained variation (R<sup>2</sup>) was very low. Besides the individual rhythm of pollination, the meteorological conditions are the most important factors (mainly air temperature and wind speed) influencing the analysed pollen concentration in the air.

Two mechanisms for accelerated diffusion of COVID-19 outbreaks in regions with high intensity of population and polluting industrialization: the air pollution-to-human and human-to-human transmission dynamics (Preprint)

2020 ◽  
Author(s):  
Mario Coccia
Keyword(s):  
Air Pollution ◽  
Wind Speed ◽  
Critical Role ◽  
Meteorological Condition ◽  
Meteorological Conditions ◽  
Lessons Learned ◽  
Transmission Dynamics ◽  
Critical Threshold ◽  
Viral Infectivity ◽  
Low Wind Speed

BACKGROUND Coronavirus disease 2019 (COVID-19) is viral infection that generates a severe acute respiratory syndrome with serious pneumonia that may result in progressive respiratory failure and death. OBJECTIVE This study has two goals. The first is to explain the main factors determining the diffusion of COVID-19 that is generating a high level of deaths. The second is to suggest a strategy to cope with future epidemic threats with of accelerated viral infectivity in society. METHODS Correlation and regression analyses on on data of N=55 Italian province capitals, and data of infected individuals at as of April 2020. RESULTS The main results are: o The accelerate and vast diffusion of COVID-19 in North Italy has a high association with air pollution. o Hinterland cities have average days of exceeding the limits set for PM10 (particulate matter 10 micrometers or less in diameter) equal to 80 days, and an average number of infected more than 2,000 individuals as of April 1st, 2020, coastal cities have days of exceeding the limits set for PM10 equal to 60 days and have about 700 infected in average. o Cities that average number of 125 days exceeding the limits set for PM10, last year, they have an average number of infected individual higher than 3,200 units, whereas cities having less than 100 days (average number of 48 days) exceeding the limits set for PM10, they have an average number of about 900 infected individuals. o The results reveal that accelerated transmission dynamics of COVID-19 in specific environments is due to two mechanisms given by: air pollution-to-human transmission and human-to-human transmission; in particular, the mechanisms of air pollution-to-human transmission play a critical role rather than human-to-human transmission. o The finding here suggests that to minimize future epidemic similar to COVID-19, the max number of days per year in which cities can exceed the limits set for PM10 or for ozone, considering their meteorological condition, is less than 50 days. After this critical threshold, the analytical output here suggests that environmental inconsistencies because of the combination between air pollution and meteorological conditions (with high moisture%, low wind speed and fog) trigger a take-off of viral infectivity (accelerated epidemic diffusion) with damages for health of population, economy and society. CONCLUSIONS Considering the complex interaction between air pollution, meteorological conditions and biological characteristics of viral infectivity, lessons learned for COVID-19 have to be applied for a proactive socioeconomic strategy to cope with future epidemics, especially an environmental policy based on reduction of air pollution mainly in hinterland zones of countries, having low wind speed, high percentage of moisture and fog that create an environment that can damage immune system of people and foster a fast transmission of viral infectivity similar to the COVID-19. CLINICALTRIAL not applicable

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