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Analysis of Mosses and Soils for Quantifying Heavy Metal Concentrations in Sicily: A Multivariate and Spatial Analytical Approach

机译:定量分析西西里岛重金属浓度的苔藓和土壤:多元和空间分析方法

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Background. The use of vegetal organisms as indicators of con tamination of the environment is partially replacing traditional monitoring techniques. Amongst the vegetal organisms avail able, mosses appear to be good bioindicators and are used for monitoring anthropogenic and natural fall-out on soils. This study has two objectives: the evaluation of the concentrations of heavy metals in soils and mosses of the Sicily Region, in Italy and the identification of the origin of fall-out of heavy metals.Methods. Mosses and the surface soil were sampled at 28 sites, only the youngest segments of Hylocomium splendens and Hypnum cupressiforme, corresponding to the plant tissues pro duced during the last 3 years, were taken. The elements Cd, Cu, Ni, Pb and Zn were analysed by ICP-MS and Hg by AAS. Sta tistical analysis was by PCA and spatial representation by GIS.Results and Discussion. In the mosses sampled in Sicily, the high est concentrations of Cd were found around the cities of Palermo and Messina. The highest concentrations of Hg were recorded in the northern part of the island between Trapani and Messina, similar to the distribution of Cu. Different areas with the high est concentrations of Ni were found near the south coast, in the vicinity of Palermo and around the Volcano Etna. The highest concentrations of Pb were found in the south-west coast near Agrigento, where important chemical plants and petroleum re fineries are located. Except for a few locations, Zn fall-out was found to be evenly distributed throughout Sicily.Conclusion. The sites where the concentrations of heavy metals cause greatest concern have been revealed by the PCA analysis and portrayed using GIS. Also of some concern is the diffuse and anthropogenic origin of Hg and Cd. The combined approach of using soil and mosses, together with pedological interpretation and application of multivariate statistical techniques has provided valuable insight into the environmental aspects of heavy metal deposition in a region of southern Europe.Recommendations and Outlook. Further insight into the depo sition of heavy metals will require more detailed sampling of soils and mosses in both new and previous study areas. This needs to be complemented by detailed pedological investiga tions in the study areas. Future research programmes will ad dress these issues.
机译:背景。使用植物有机体作为环境污染的指标正在部分取代传统的监测技术。在可用的植物有机体中,苔藓似乎是良好的生物指示剂,并用于监测土壤上的人为和自然沉降。这项研究有两个目标:评估意大利西西里岛地区土壤和苔藓中的重金属浓度,并确定重金属的沉降来源。在28个地点对苔藓和表层土壤进行了采样,只采集了最细的Hylocomium splendens和Hypnum cupressiforme片段,它们与最近3年中产生的植物组织相对应。 ICP-MS分析元素Cd,Cu,Ni,Pb和Zn,AAS分析汞。通过PCA进行统计分析,通过GIS进行空间表示。结果与讨论。在西西里岛采样的苔藓中,在巴勒莫和墨西拿附近发现了最高的镉含量。在该岛的北部,特拉帕尼和墨西拿之间的汞含量最高,与铜的分布相似。在南海岸附近,巴勒莫附近和埃特纳火山附近,发现了镍含量最高的不同区域。 Pb的最高浓度是在阿格里真托附近的西南海岸发现的,那里有重要的化工厂和炼油厂。除少数地点外,发现锌的沉降在整个西西里岛均匀分布。 PCA分析揭示了重金属浓度引起最大关注的地点,并使用GIS进行了描绘。汞和镉的扩散和人为起源也令人关注。结合使用土壤和苔藓的方法,以及对方法学的解释和多元统计技术的应用,为欧洲南部地区重金属沉积的环境方面提供了宝贵的见识。建议和展望。要进一步了解重金属的沉积,将需要在新的和以前的研究区域中对土壤和苔藓进行更详细的采样。这需要在研究区域进行详细的学问调查来补充。未来的研究计划将解决这些问题。

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