Vrekoussis M, Pikridas M, Rousogenous C, Christodoulou A, Desservettaz M, Sciare J, Richter A, Bougoudis I, Savvides C, Papadopoulos C
Climate and Atmosphere Research Center (CARE-C), The Cyprus Institute, Cyprus; Institute of Environmental Physics and Remote Sensing (IUP), University of Bremen, Germany; Center of Marine Environmental Sciences (MARUM), University of Bremen, Germany.
Climate and Atmosphere Research Center (CARE-C), The Cyprus Institute, Cyprus.
Sci Total Environ. 2022 Nov 1;845:157315. doi: 10.1016/j.scitotenv.2022.157315. Epub 2022 Jul 13.
Observations of key gaseous trace pollutants, namely NO, NO, CO, SO and O performed at several curb, residential, industrial, background and free-troposphere sites were analyzed to assess the temporal and spatial variability of pollution in Cyprus. Notably, the analysis utilized one of the longest datasets of 17 years of measurements (2003-2019) in the East Mediterranean and the Middle East (EMME). This region is considered a regional hotspot of ozone and aerosol pollution. A trend analysis revealed that at several stations, a statistically significant decrease in primary pollutant concentration is recorded, most likely due to pollution control strategies. In contrast, at four stations, a statistically significant increase in ozone levels, ranging between 0.36 ppb y and 0.82 ppb y has been observed, attributed to the above strategies targeting the reduction of nitrogen oxides (NO) but not that of Volatile Organic Compounds (VOCs). The NO and NO, and CO levels at the Agia Marina regional background station were two orders of magnitude and four times lower, respectively, than the ones of the urban centers. The latter denotes that local emissions are not negligible and control a large fraction of the observed interannual and diurnal variability. Speciation analysis showed that traffic and other local emissions are the sources of urban NO and NO. At the same time, 46 % of SO and 40 % of CO, on average, originate from long-range regional transport. Lastly, a one-year analysis of tropospheric NO vertical columns from the TROPOMI satellite instrument revealed a west-east low-to-high gradient over the island, with all major hotspots, including cities and powerplants, being visible from space. With the help of an unsupervised machine learning approach, it was found that these specific hotspots contribute overall around 10 % to the total NO tropospheric columns.
对在几个路边、居民区、工业区、背景站点和自由对流层站点进行的关键气态微量污染物(即一氧化氮、二氧化氮、一氧化碳、二氧化硫和臭氧)观测数据进行了分析,以评估塞浦路斯污染的时空变异性。值得注意的是,该分析利用了东地中海和中东地区(EMME)长达17年(2003 - 2019年)的最长测量数据集之一。该地区被认为是臭氧和气溶胶污染的区域热点。趋势分析表明,在几个站点,主要污染物浓度出现了统计学上显著的下降,这很可能是由于污染控制策略。相反,在四个站点,观测到臭氧水平有统计学上显著的增加,增幅在每年0.36 ppb至0.82 ppb之间,这归因于上述针对氮氧化物(NO)而非挥发性有机化合物(VOCs)减排的策略。阿吉亚玛丽娜区域背景站点的一氧化氮、二氧化氮和一氧化碳水平分别比城市中心低两个数量级和四倍。后者表明本地排放不可忽视,并且控制了大部分观测到的年际和日变化。形态分析表明,交通和其他本地排放是城市一氧化氮和二氧化氮的来源。与此同时,平均而言,46%的二氧化硫和40%的一氧化碳来自远距离区域传输。最后,对TROPOMI卫星仪器的对流层一氧化氮垂直柱进行的为期一年的分析显示,该岛存在从西到东的低到高梯度,所有主要热点,包括城市和发电厂,都能从太空中看到。借助无监督机器学习方法发现,这些特定热点对对流层一氧化氮柱总量的贡献总体约为10%。