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时间序列分析布加勒斯特炼油厂附近的空气污染,罗马尼亚污染最严重的地区之一。

Time series analysis of the air pollution around Ploiesti oil refining complex, one of the most polluted regions in Romania.

机构信息

Faculty of Natural Sciences, Doctoral School of Chemistry, University of Pécs, Ifjúság 6, 7624, Pécs, Hungary.

Department of Bioengineering, Faculty of Economics, Socio - Human Sciences and Engineering, Sapientia Hungarian University of Transylvania, Piaţa Libertăţii 1, 530104, Miercurea Ciuc, Romania.

出版信息

Sci Rep. 2022 Jul 12;12(1):11817. doi: 10.1038/s41598-022-16015-7.

Abstract

Refineries and petrochemical industries are known to be the principal sources of emissions for a number of air pollutants, such as Volatile Organic Compounds (VOCs), greenhouse gases and particulate matter, which negatively affect the air quality. The primary goal of this research was the time series analysis of PM, PM, As, Cd, Ni, Pb, benzene, toluene, ethylbenzene, o-xylene, m-xylene, p-xylene, CO, NO, NO, NO, SO and O over an eleven-year period (2009-2019) and the connection between air pollution and meteorological parameters (air temperature, precipitation quantity and relative humidity). Regarding the pollution level of the major pollutants, the minimum pollution levels, except SO and O, were recorded during warmer periods, meanwhile increased levels, were detected during the cold period (in winter). The air pollutants' concentration and distribution are affected by meteorological parameters, such as wind speed and direction, rainfall or even relative humidity. Therefore, the highest concentrations in the winter season were 1.25 times higher than in autumn, 1.3 times higher than the average annual value, 1.57 times higher than in spring and 1.79 times higher than in summer. Monthly variation of O showed lower concentration during winter (27.62 µg/m) and higher in summer (46.42 µg/m). Based on the statistical analysis, a significant Spearman correlation was detected between the studied air pollutants and meteorological parameters, and according to the Principal Component Analysis (PCA) and cluster analysis, some common sources were also detected.

摘要

炼油厂和石化工业是许多空气污染物的主要排放源,如挥发性有机化合物(VOCs)、温室气体和颗粒物,它们会对空气质量产生负面影响。本研究的主要目的是对 PM、PM、As、Cd、Ni、Pb、苯、甲苯、乙苯、邻二甲苯、间二甲苯、对二甲苯、CO、NO、NO、NO、SO 和 O 进行十一年(2009-2019 年)的时间序列分析,并探讨空气污染与气象参数(空气温度、降水量和相对湿度)之间的关系。关于主要污染物的污染水平,除 SO 和 O 外,其他污染物在较温暖的时期记录到的污染水平最低,而在寒冷时期(冬季)则检测到污染水平升高。空气污染物的浓度和分布受气象参数的影响,如风速和风向、降雨量甚至相对湿度。因此,冬季的浓度最高,比秋季高 1.25 倍,比年平均值高 1.3 倍,比春季高 1.57 倍,比夏季高 1.79 倍。O 的月变化在冬季(27.62µg/m)时浓度较低,而在夏季(46.42µg/m)时浓度较高。基于统计分析,在研究的空气污染物和气象参数之间检测到了显著的 Spearman 相关性,并且根据主成分分析(PCA)和聚类分析,还检测到了一些共同的来源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6272/9276770/a4f91bb60a77/41598_2022_16015_Fig1_HTML.jpg

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