Faculty of Economics, Department of Bioengineering, Sapientia Hungarian University of Transylvania, Socio-Human Sciences and Engineering, Libertății Sq. 1, 530104, Miercurea Ciuc, Romania.
Faculty of Natural Sciences, Doctoral School of Chemistry, University of Pécs, St. Ifjúság 6, 7624, Pécs, Hungary.
Environ Monit Assess. 2023 Jun 2;195(7):798. doi: 10.1007/s10661-023-11407-2.
Modern societies are characterized by increased air pollution, and particulate matter (PM) is one of the most significant air pollutants and is a major environmental health problem. Therefore, long- and short-term exposure via inhalation, ingestion, and dermal absorption of particulate matter may cause series health issues, such as cardio pulmonary and lung cancer disease. Air pollutants accumulation is significantly higher in closed regions or basins characterized by strong thermal inversions, especially during the cold period such in case of the Ciuc basin. The aim of this study was to carry out the time series analysis of PM, PM and TSP in the Ciuc basin for the period 2010-2019, in order to decipher the main characteristics of air pollution in this region.The data obtained were analyzed on a daily, monthly and annual basis by different statistical methods. The average monthly concentration of TSP (60.03 µg m), PM (19.21 µg m) and PM (14.73 µg m) particulate matter in the studied regions varied between 29.84-134.79 µg m, 4.38-63.51 µg m and 4.01-54.41 µg m, respectively. Regarding the ratio of PM and PM in the total particulate matter (TPM) was 0.25 and 0.33. Due to meteorological factors and emission fluctuations, particulate matter exhibits high seasonal variations, therefore the highest concentrations were recorded during the cold period, while the lowest values were observed in summer. The percentage of PM exceedances (50 µg m) represents 24.8% in winter, meanwhile in autumn and spring a significantly lower exceedances percentage was observed, 2.6% and 1.7%, respectively. The correlation analysis revealed that the correlation level of the studied pollutants varied between 0.73-0.78.
现代社会的特点是空气污染加剧,而颗粒物(PM)是最主要的空气污染物之一,也是主要的环境健康问题。因此,通过吸入、摄入和皮肤吸收颗粒物进行长期和短期暴露可能会导致一系列健康问题,如心肺和肺癌疾病。在封闭地区或具有强烈逆温的盆地中,空气污染物的积累量显著更高,尤其是在寒冷时期,如锡库盆地。本研究的目的是对 2010-2019 年锡库盆地的 PM、PM 和 TSP 进行时间序列分析,以揭示该地区的主要空气污染特征。获得的数据通过不同的统计方法按日、月和年进行分析。在所研究地区,TSP(60.03μg/m)、PM(19.21μg/m)和 PM(14.73μg/m)颗粒物的月平均浓度在 29.84-134.79μg/m、4.38-63.51μg/m 和 4.01-54.41μg/m 之间变化。关于 PM 和 PM 在总颗粒物(TPM)中的比值分别为 0.25 和 0.33。由于气象因素和排放波动,颗粒物表现出高季节性变化,因此在寒冷时期记录到的浓度最高,而在夏季观察到的浓度最低。PM 超标(50μg/m)的百分比在冬季为 24.8%,而在秋季和春季观察到的超标百分比明显较低,分别为 2.6%和 1.7%。相关分析表明,所研究污染物的相关水平在 0.73-0.78 之间变化。