Conventional air pollutant source determination using bivariate polar plot in Black Sea, Turkey

Demirarslan, Kazım Onur; Zeybek, Mustafa

doi:10.1007/s10668-021-01553-3

Cited by 3 publications

(5 citation statements)

References 39 publications

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“…For example, the PMF model and CMB model were coupled to build the PMF-CMB complex receptor model, and the receptor model to analyze the contribution of secondary particles was also established for the problem of secondary particle pollution [15] . Kazım et al [16] used bivariate polar graph method to identify and characterize individual sources of PM 10 , SO 2 , NO x and CO pollutants in Karadnitz urban areas, and concluded that the main sources of pollutants are more man-made. Jia [17] proposed embedding unsteady adjoint equations modeled by large eddy simulation (LES) into Bayesian inference framework to develop a new STE method.…”

Section: Analysis Of Urban Pollutant Sourcesmentioning

confidence: 99%

Research status and control measures of air pollutants in urban areas caused by traffic sources

Zhai

Huang²,

Ma³

et al. 2022

E3S Web Conf.

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With both the social and the economic development, air pollution has become a matter of high concern to both the public and the government. Vehicle exhaust emissions on traffic roads are the main source of urban air pollution in urban area, which poses a significant threat and impact on the health of urban residents. In order to solve the excessive urban pollutants in a better and more efficient way, reasonable and economic solutions should be investigated from the three aspects, including source identification, pollutant distribution and treatment measures. As for the distribution of pollutants in regional urban scale, this paper analyzes and summarizes the four influencing factors, including different urban layout schemes, meteorological conditions, roadside tree configurations and motor vehicle flows. The methods to study the distribution of air pollutants are summarized. Meanwhile, China has promulgated many standards and policies for the treatment of pollutants, which has achieved good results. To control urban pollutants from the root, it is necessary to look at the problem of urban pollutants from various aspects with appropriate methods, affordable human and material resources and reasonable relevant policies. This study provides a scientific support for control of traffic-related pollutants in urban area.

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Section: Analysis Of Urban Pollutant Sourcesmentioning

confidence: 99%

Research status and control measures of air pollutants in urban areas caused by traffic sources

Zhai

Huang²,

Ma³

et al. 2022

E3S Web Conf.

View full text Add to dashboard Cite

show abstract

“…The air pollutants concentrations are strongly influenced by transport, chemical transformations, and dry–wet deposition (Bartnicki et al, 2018 ; De Simone et al, 2014 ). To evaluate these variations, air quality models are used, which are carried out to estimate the distribution of pollutants released into the atmosphere (Demirarslan & Zeybek, 2021 ). Numerous approaches for mathematical modeling of air quality can be found in the scientific literature, one of these being the receptor model.…”

Section: Introductionmentioning

confidence: 99%

“…This model uses statistical techniques to estimate the amount of emissions at local and long distances. Receptor models are often used to identify, characterize, and monitor the distribution of sources of air pollutants (Demirarslan & Zeybek, 2021 ; Hopke, 2016 ; Uria-Tellaetxe & Carslaw, 2014 ).…”

Section: Introductionmentioning

confidence: 99%

“…Among these models, we have the bivariate polar graphs, the k-means clustering, and the conditional bivariate probability function (Demirarslan & Zeybek, 2021 ), which were implemented in the openair package of the R statistical software, designed for atmospheric data analysis (Carslaw, 2021 ; Uria-Tellaetxe & Carslaw, 2014 ). Likewise, the polar annulus analysis allows the evaluation of the variation of the contributions from a specific source as a function of the wind direction and time (Yeganeh et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, due to the problems that La Oroya has been facing concerning SO 2 (Caycho, 2018 ; Muñoz, 2020 ) and the absence of research to date that has identified sources of SO 2 in cities with a complex topography and variable meteorological conditions (Demirarslan & Zeybek, 2021 ; Hama et al, 2020 ), it is pertinent to develop air quality management plans. For this reason, the present study aims to identify emission sources and evaluate SO 2 immission levels in La Oroya city through receptor models (bivariate polar plots, the k-means clustering, and the conditional bivariate probability function) during the 2018–2020 period.…”

Section: Introductionmentioning

confidence: 99%

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Immission levels and identification of sulfur dioxide sources in La Oroya city, Peruvian Andes

Espinoza-Guillen

Alderete-Malpartida

Cañari-Cancho

et al. 2022

Environ Dev Sustain

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La Oroya is a city in the Peruvian Andes that has suffered a serious deterioration in its air quality, especially due to the high rate of sulfur dioxide (SO 2 ) emissions, which underlines the importance of knowing its sources of contamination and variation over the years. In this sense, this study aimed to evaluate the immission levels and determine the sources of SO 2 contamination in La Oroya. This analysis was performed using the hourly concentration data of SO 2 , and meteorological variables (wind speed and direction), which were analyzed for a period of three years (2018–2020). Graphs of time series, wind and pollutant roses, bivariate polar graphs, clustering k-means, nonparametric statistical tests, and the application of the conditional bivariate probability function were performed to analyze the data and identify the emission sources. The mean concentration of SO 2 was 264.2 μg m −3 for the study period, where 55.66 and 2.37% of the evaluated days exceeded the guideline values recommended by the World Health Organization and the Peruvian Environmental Quality Standard for air for 24 h, respectively. The results showed a defined pattern for the daily and monthly variations, with peaks in the morning hours (0900–1000 h LT) and at the end of the year (December), respectively. The main sources of SO 2 emissions identified were light and heavy vehicles that travel through the Central Highway, the La Oroya Metallurgical Complex, the transit of vehicles within the city, and the diesel–electric locomotives that provide cargo transportation services and tourism passenger transportation. The article attempts to contribute to the development of adequate air quality management policies.

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Immission levels and identification of carbon monoxide sources in a latin American megacity: use of bivariate polar plots and k-means clustering

Espinoza-Guillen,

Alderete-Malpartida,

Bernabé-Meza

et al. 2024

Air Qual Atmos Health

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Conventional air pollutant source determination using bivariate polar plot in Black Sea, Turkey

Cited by 3 publications

References 39 publications

Research status and control measures of air pollutants in urban areas caused by traffic sources

Research status and control measures of air pollutants in urban areas caused by traffic sources

Immission levels and identification of sulfur dioxide sources in La Oroya city, Peruvian Andes

Immission levels and identification of carbon monoxide sources in a latin American megacity: use of bivariate polar plots and k-means clustering

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