Li Shuzhen, Zhao Bi, Jin Ming, Hu Liang, Zhong Hui, He Zhiguo
School of Minerals Processing and Bioengineering, Key Laboratory of Biohydrometallurgy of Ministry of Education, Central South University, Changsha, 410083, China.
School of Life Science, Central South University, Changsha, 410012, China.
J Hazard Mater. 2020 Dec 5;400:123255. doi: 10.1016/j.jhazmat.2020.123255. Epub 2020 Jun 20.
Smelter emissions have brought serious heavy metal contamination. Comprehensive surveys of spatial heavy metal and microorganism distribution in soils of smelters aera are still limited. In this study, the horizontal and vertical profiles of heavy metals as well as microorganisms of 80 samples from 5 soil layers of 16 sites in a Pb/Zn smelter were studied. Pollution index indicated the pollution level as Cd > Zn > Pb > As > Cu > Mn > Co > Cr > V, and the severe pollutants were Cd, Zn, Pb, As and Cu. The hazard quotient and hazard index indicated that the topsoil might pose high chronic risk to children mainly due to high content of Pb, As and Cd. The whole smelter was heavily polluted even to the depth of 100 cm as revealed by Nemerow pollution indices. Depth-related microbiota analysis indicated high richness of indigenous microorganisms and significant differences in vertical microbial structure. Proteobacteria was the dominant phylum in all depth layers, followed by Firmicutes, Actinobacteria, Bacteroidetes and Acidobacteria as major phyla. pH and heavy metals Zn, Cu, As, Mn and Cd significantly influenced the microbiota composition. Metagenomic functional prediction suggested antioxidant response, metal exportation and biotransformation play roles in bio-resistance to and bioremoval of heavy metals.
冶炼厂排放带来了严重的重金属污染。对冶炼厂区域土壤中重金属和微生物空间分布的全面调查仍然有限。在本研究中,对某铅锌冶炼厂16个地点5个土壤层的80个样品中的重金属以及微生物的水平和垂直剖面进行了研究。污染指数表明污染程度为镉>锌>铅>砷>铜>锰>钴>铬>钒,严重污染物为镉、锌、铅、砷和铜。危害商数和危害指数表明,表层土壤可能主要由于铅、砷和镉含量高而对儿童构成高慢性风险。内梅罗污染指数显示,整个冶炼厂甚至在100厘米深处都受到严重污染。与深度相关的微生物群分析表明,本地微生物丰富度高,垂直微生物结构存在显著差异。变形菌门是所有深度层中的优势菌门,其次是厚壁菌门、放线菌门、拟杆菌门和酸杆菌门等主要菌门。pH值以及重金属锌、铜、砷、锰和镉显著影响微生物群组成。宏基因组功能预测表明,抗氧化反应、金属输出和生物转化在对重金属的生物抗性和生物去除中发挥作用。