Chaligava Omari, Zinicovscaia Inga, Peshkova Alexandra, Yushin Nikita, Frontasyeva Marina, Vergel Konstantin, Nurkassimova Makhabbat, Cepoi Liliana
Joint Institute for Nuclear Research, 6 Joliot-Curie Str., 141980 Dubna, Russia.
Doctoral School of Natural Sciences, Moldova State University, 75A M. Kogalniceanu Str., MD-2009 Chisinau, Moldova.
Plants (Basel). 2024 Nov 23;13(23):3298. doi: 10.3390/plants13233298.
The study, carried out as part of the International Cooperative Program on Effects of Air Pollution on Natural Vegetation and Crops, involved collecting 95 moss samples across the territory of Georgia during the period from 2019 to 2023. Primarily samples of were selected, with supplementary samples of , , and in cases of the former's absence. The content of 14 elements (Al, Ba, Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb, S, Sr, V, and Zn) was detected using Inductively Coupled Plasma Atomic Emission Spectroscopy (ICP-AES), while the Hg content was determined using a Direct Mercury Analyzer. To identify any relationships between chemical elements and to depict their sources, multivariate statistics was applied. Principal component analysis identified three main components: PC1 (geogenic, 43.4%), PC2 (anthropogenic, 13.3%), and PC3 (local anomalies, 8.5%). The results were compared with the first moss survey conducted in Georgia in the period from 2014 to 2017, offering insights into temporal trends of air quality. Utilizing GIS, a spatial map illustrating pollution levels across Georgia, based on the Pollution Load Index, was generated. The Potential Environmental Risk Index emphasized significant risks associated with mercury and cadmium at several locations. The study highlights the utility of moss biomonitoring in assessing air pollution and identifying hotspots of contamination. The findings from this study could be beneficial for future biomonitoring research in areas with varying physical and geographical conditions.
这项研究是作为“空气污染对自然植被和作物影响国际合作项目”的一部分开展的,涉及在2019年至2023年期间在格鲁吉亚境内采集95份苔藓样本。主要选取了[此处原文缺失具体苔藓种类]的样本,在前者缺失的情况下补充了[此处原文缺失具体苔藓种类]、[此处原文缺失具体苔藓种类]和[此处原文缺失具体苔藓种类]的样本。使用电感耦合等离子体原子发射光谱法(ICP - AES)检测了14种元素(铝、钡、镉、钴、铬、铜、铁、锰、镍、铅、硫、锶、钒和锌)的含量,而汞含量则使用直接测汞仪测定。为了确定化学元素之间的任何关系并描述其来源,应用了多元统计分析。主成分分析确定了三个主要成分:PC1(地质成因,43.4%)、PC2(人为成因,13.3%)和PC3(局部异常,8.5%)。将结果与2014年至2017年期间在格鲁吉亚进行的首次苔藓调查进行了比较,从而深入了解空气质量的时间趋势。利用地理信息系统(GIS)生成了一幅基于污染负荷指数的格鲁吉亚全境污染水平空间地图。潜在环境风险指数强调了几个地点存在与汞和镉相关的重大风险。该研究突出了苔藓生物监测在评估空气污染和识别污染热点方面的作用。这项研究的结果可能对未来在不同自然地理条件地区的生物监测研究有益。