Dipartimento di Scienze della Terra, Università di Firenze, Via G. La Pira 4, 50121 Firenze, Italy.
CNR-IGG, Via G. La Pira 4, 50121 Firenze, Italy.
Int J Environ Res Public Health. 2020 Mar 31;17(7):2353. doi: 10.3390/ijerph17072353.
In the present study, mercury (Hg) concentrations were investigated in lichens ( (L.) Hale, (L.) Ach., and (L.) Th.Fr.) collected in the surrounding of the dismissed Abbadia San Salvatore Hg mine (Monte Amiata district, Italy). Results were integrated with Hg concentrations in tree barks and literature data of gaseous Hg levels determined by passive air samplers (PASs) in the same area. The ultimate goal was to compare results obtained by the three monitoring techniques to evaluate potential mismatches. Lichens displayed 180-3600 ng/g Hg, and Hg concentrations decreased exponentially with distance from the mine. Mercury concentration was lower than in barks at the same site. There was a moderate correlation between Hg in lichen and Hg in bark, suggesting similar mechanisms of Hg uptake and residence times. However, correlation with published gaseous Hg concentrations (PASs) was moderate at best (Kendall Tau = 0.4-0.5, > 0.05). The differences occurred because a) PASs collected gaseous Hg, whereas lichens and barks also picked up particulate Hg, and b) lichens and bark had a dynamic exchange with the atmosphere. Lichen, bark, and PAS outline different and complementary aspects of airborne Hg content and efficient monitoring programs in contaminated areas would benefit from the integration of data from different techniques.
在本研究中,研究了在意大利蒙特阿米塔区废弃的阿巴迪亚圣萨瓦托汞矿(Abbadia San Salvatore Hg mine)周围采集的地衣((L.) Hale、(L.) Ach. 和 (L.) Th.Fr.)中的汞(Hg)浓度。结果与树木树皮中的 Hg 浓度以及在同一地区通过被动空气采样器(PAS)测定的气态 Hg 水平的文献数据进行了整合。最终目标是比较三种监测技术的结果,以评估潜在的不匹配。地衣中 Hg 的浓度为 180-3600ng/g,且 Hg 浓度随距矿山距离的增加呈指数下降。在同一地点,Hg 浓度低于树皮。地衣中 Hg 与树皮中 Hg 之间存在中度相关性,表明存在相似的 Hg 吸收和居留时间机制。然而,与已发表的气态 Hg 浓度(PAS)的相关性充其量只是中等(Kendall Tau=0.4-0.5,>0.05)。出现差异的原因是:a)PAS 收集气态 Hg,而地衣和树皮也会收集颗粒态 Hg;b)地衣和树皮与大气之间存在动态交换。地衣、树皮和 PAS 勾勒出了空气中 Hg 含量的不同且互补的方面,在污染地区进行有效的监测计划将受益于整合来自不同技术的数据。