scholarly journals INVESTIGATING CONTRIBUTIONS OF GASES, METEOROLOGICAL PARAMETERS, AND AEROSOLS TOWARDS TROPOSPHERIC OZONE VARIABILITIES OVER MEGACITY LAHORE (PAKISTAN)

Author(s):  
S PARVEZ
Author(s):  
Nguyen Thi Thu Phuong ◽  
Mac Duy Hung ◽  
Duong Thanh Nam ◽  
Nghiem Trung Dung

Support vector machine (SVM) and multilayer perceptron (MLP) were used to forecast hourly tropospheric ozone concentration at three locations of Quang Ninh, namely Cao Xanh, Uong Bi and Phuong Nam. Data used to train the models are the hourly concentrations of gaseous pollutants (O3, NO, NO2, CO) and meteorological parameters including wind direction, wind speed, temperature, atmospheric pressure, relative humidity measured in the 2016. Both models accurately forecast tropospheric ozone levels compared to the observation data. The correlation coefficients (r) of the models applied for the three locations range from 0.85 to 0.91. In addition, SVM exhibits a more accurate prediction than MLP, especially for those with large variations, i.e. high standard deviations.


2018 ◽  
Vol 12 (2) ◽  
pp. 195-213 ◽  
Author(s):  
Dumitru Mihăilă ◽  
Andrei-Emil Briciu ◽  
Gina Ursul

Abstract The daily, monthly and annual variations of the tropospheric ozone in the area of Suceava municipality are described and explained by using the correlations between the ozone concentration and the local meteorological parameters. The meteorological parameters are as follows: the air temperature, the air humidity, the sunshine duration, the wind speed and direction. All parameters represent hourly datasets recorded in the interval 2004-2007. The Pearson correlation coefficients and the linear regressions were obtained for daily, monthly and yearly scales. Significant positive correlations between the O3 and the temperature and strong negative correlations between the O3 and the air humidity were found, especially between 11 a.m. and 8 p.m., during the warm season. The sunshine duration and the wind speed and direction were found to have weaker, but good positive correlation with the O3 during the same hourly interval. The weekend effect of the ozone exists in the City of Suceava too, as the reduced road traffic during the weekend causes higher concentrations of ozone. The wavelet analyses were conducted in order to further explain the variability of the ozone.


2021 ◽  
Vol 265 ◽  
pp. 02004
Author(s):  
Aleksandr Khaustov ◽  
Margarita Redina ◽  
Nonna Khaustova

Н основе анализа суточной и месячной динамики получены фоновые значения, которые могут впоследствии использоваться для управления качеством атмосферы в рамках квотирования выбросов. Полученные оценки верифицировались с использованием официальных методических указаний. Показано, что методики дают близки значения фоновых концентрация для более длительных периодов наблюдений. Tropospheric ozone is one of the most active and toxic pollutants in the atmosphere. The dynamics of its concentrations is determined not only by the characteristics of emissions of precursor substances, but also by the complex of meteorological conditions. Atmospheric quality control requires the regulation of emissions based on the consideration of background concentrations and acceptable hygiene standards. The proposed article presents approaches to the estimation of background concentrations using the analysis of phase portraits based on continuous observations of the concentrations of ozone, its precursor substances, as well as a number of meteorological parameters. The dynamic phase portraits for the conditions of Moscow (Southern Administrative District) and the background territory (Krasnye polyany) are analyzed. Based on the analysis of daily and monthly dynamics, background values are obtained, which can later be used to control the quality of the atmosphere within the framework of emission quotas arrangement. The obtained estimates were verified using official methodological guidelines. It is shown that the methods give similar values of background concentrations for longer periods of observations (month and more).


2020 ◽  
Vol 27 (3) ◽  
pp. 373-385
Author(s):  
Predrag Ilić ◽  
Zoran Popović ◽  
Dragana Nešković Markić

AbstractThe paper presents results of the measurements of the tropospheric ozone (O3) concentration and meteorological parameters: temperature, air pressure, relative humidity, speed and wind direction. The data were collected from January 2016 to December 2016 at station located in locality Centre (Banja Luka), Republic of Srpska, Bosnia and Herzegovina. Ozone is one of the most harmful pollutants to plants and health and highly reactive secondary pollutant. The present study covers investigation of the relationship between the concentration of ozone and meteorological parameters as well as time variations of ozone concentration (by hours, months, seasons). This topic has not been studied up to now in this region, although the recent research data indicates that there is a correlation between them and previously obtained from the world’s relevant scientific centres, as already cited above. Statistical analysis confirms string of rolls, which shows directional connection between tropospheric ozone and meteorological parameters, specially temperature (r = 0.148), air pressure (r = –0.292) and relative humidity (r = –0.292). These parameters are the most important meteorological factors influencing the variation in ozone levels during the research. The correlation ozone concentrations with speed and direction of wind is not significant, like other parameters.


2017 ◽  
Vol 3 (8) ◽  
pp. 557 ◽  
Author(s):  
Vahid Mehdipour ◽  
Mahsa Memarianfard

Air pollution became fatal issue for humanity and all environment and developed countries unanimously allocated vast investments on monitoring and researches about air pollutants. Soft computing as a novel way for pollutants prediction can be used for measurement tools calibration which can coincidently decrease the expenditures and enhance their ability to adapt quickly. In this paper support vector machine (SVM) and gene expression programming (GEP) as two powerful approaches with reliable results in previous studies, used to predict tropospheric ozone in Tehran metropolitan by using the photochemical precursors and meteorological parameters as predictors. In a comparison between the two approaches, the best model of SVM gave superior results as it depicted the RMSE= 0.0774 and R= 0.8459 while these results of gene expression programming, respectively, are 0.0883 and 0.7938. Sensitivity of O3 against photochemical precursors and meteorological parameters and also for every input parameter, has been analysed discreetly and the gained results imply that PM2.5, PM10, temperature, CO and NO2 are the most effective parameters for O3 values tolerances. For SVM, several kernel tricks used and the best appropriate kernel selected due to its result. Nonetheless, gamma and sin2 values varied for every kernel and in the last radial basis function kernel opted as the best trick in this study. Finally, the best model of both applications revealed, and the resulted models evaluated as reliable and acceptable.


2011 ◽  
Vol 88 (4) ◽  
pp. 392-396 ◽  
Author(s):  
Yolanda Díaz-de-Mera ◽  
Alberto Notario ◽  
Alfonso Aranda ◽  
José Antonio Adame ◽  
Alfonso Parra ◽  
...  

2017 ◽  
Vol 68 (4) ◽  
pp. 642-645 ◽  
Author(s):  
Robert Szep ◽  
Reka Keresztes ◽  
Szende Tonk ◽  
Attila Korodi ◽  
Mihaela Emanuela Craciun

As ozone is a secondary polluting substance, its oxides of nitrogen (NOx) play a significant role as precursors. Their existence is influenced by climatological and meteorological parameters, as well as other air pollutants (SOA, VOC). At present, alongside with various meteorological parameters (temperature, wind speed, relative humidity, sun intensity), other air pollutants (oxides of nitrogen, carbon monoxide, benzene) and other physical phenomena (dry deposition, meteoric stability) mostly the indirect effects of relative air humidity was examined in relation with the evolution of tropospheric ozone concentration. Our aim was, to examine the closed experiment of Jia and Xu (2014) (smog chamber), under atmospheric conditions, according to which in the case of high relative humidity the formation of ozone falls if benzene and ethylbenzene are added. According to the results, relative humidity has an increasing effect on water radical reactions and the hydration of glyoxal, while the concentration of the ozone changes as a result. At the same time, it can be observed that the higher the value of relative humidity is, the higher are also the values of ONO2, benzene and CO, whereas the concentration of O3 decreases. The reactions caused by the relative humidity of the air and VOC concentration in the experiment of Jia and Xu (2014) produced relatively adversary demonstrations in natural environment, because the experiment had been carried out at room temperature, whereas temperature and other parameters are subject to constant change in the natural environment.


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