Suppr超能文献

中国无锡大气中重金属的沉降:基于本地苔藓分析的估算

Atmospheric deposition of heavy metals in Wuxi, China: estimation based on native moss analysis.

作者信息

Yan Yun, Zhang Qiang, Wang G Geoff, Fang Yan-Ming

机构信息

Co-Innovation Center for Sustainable Forestry in Southern China, College of Biology and the Environment, Nanjing Forestry University, 159 Longpan Rd., Nanjing, 210037, China.

Jiangsu Misho Ecology Landscape Co., Ltd, Wuxi, Lake District, 214125, China.

出版信息

Environ Monit Assess. 2016 Jun;188(6):360. doi: 10.1007/s10661-016-5315-2. Epub 2016 May 20.

Abstract

We studied atmospheric deposition of heavy metals in Wuxi, China, using moss (Haplocladium microphyllum and H. angustifolium) as a biomonitoring agent. Moss samples were collected from 49 sites determined by a systematic sampling method. The top layer of soil on each site was also sampled. No significant correlation (P < 0.05) was observed between the moss and soil concentrations for any of the six heavy metal elements (Cd, Cr, Cu, Ni, Pb, and Zn), indicating that the soil substrate had little effect on the heavy metal concentrations in the moss materials. The metal enrichment capacity of the moss material, characterized by the concentration ratio between the moss and soil samples for each heavy metal, was topped by Cd and then followed by Zn, Pb, Cu, Cr, and Ni, respectively. Significant (P < 0.05) correlations were found among the six elements in mosses, suggesting potential anthropogenic inputs of these heavy metal pollutants. Based on concentrations of the heavy metals in mosses and the calculated contamination factors, we evaluated the contamination level of each heavy metal on the 49 sampling sites. Spatial distribution maps of heavy metal deposition for each element were interpolated using ArcGIS 9.0. A total pollution coefficient was calculated for each sampling site to identify the seriously polluted areas in the region.

摘要

我们以苔藓(小叶拟垂枝藓和狭叶拟垂枝藓)作为生物监测剂,研究了中国无锡大气中重金属的沉降情况。采用系统抽样方法从49个地点采集苔藓样本。每个地点的表层土壤也进行了采样。六种重金属元素(镉、铬、铜、镍、铅和锌)中的任何一种,在苔藓和土壤浓度之间均未观察到显著相关性(P < 0.05),这表明土壤基质对苔藓材料中的重金属浓度影响很小。苔藓材料对金属的富集能力,以每种重金属在苔藓和土壤样本之间的浓度比为特征,镉最高,其次分别是锌、铅、铜、铬和镍。在苔藓中的六种元素之间发现了显著(P < 0.05)的相关性,表明这些重金属污染物可能存在人为输入。基于苔藓中重金属的浓度和计算出的污染因子,我们评估了49个采样地点每种重金属的污染水平。使用ArcGIS 9.0对每种元素的重金属沉降空间分布图进行了插值。计算了每个采样地点的总污染系数,以确定该地区的严重污染区域。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验