Li Yu, Li Hong-Guan, Liu Fu-Cheng
School of Geodesy & Geomatics Engineering, Huaihai Institute of Technology, Lianyungang, 222005, China.
Environ Monit Assess. 2017 Jan;189(1):34. doi: 10.1007/s10661-016-5740-2. Epub 2016 Dec 24.
Soil samples from 16 urban sites in Lianyungang, China were collected and analyzed. A pollution index was used to assess the potential ecological risk of heavy metals and a sequential extraction procedure was used to evaluate the relative distribution of Cu, Zn, Pb, Cd, Cr, and As in exchangeable, carbonate, Fe/Mn oxide, organic/sulfide, and residual fractions. The mobility of heavy metals and urease (URE) activity, alkaline phosphatase (ALP) activity, and invertase (INV) activity of soils was determined. The results showed that the average concentrations of Cu, Zn, Pb, Cd, Cr, and As in Lianyungang soils were much higher than those in the coastal city soil background values of Jiangsu and China. Among the five studied regions (utilities, commercial, industrial, tourism, and roadside), the industrial region had the highest metal concentrations demonstrating that land use had a significant impact on the accumulation of heavy metals in Lianyungang soils. Compared to the other metals, Cd showed the highest ecological risk. According to chemical partitioning, Cu was associated with the organic/sulfides and Pb and Zn were mainly in the carbonate and the Fe/Mn oxide phase. The greatest amounts of Cd were found in exchangeable and carbonate fractions, while Cr and As were mainly in the residual fraction. Cd had the highest mobility of all metals, and the order of mobility (highest to lowest) of heavy metals in Lianyungang soils was Cd > Zn > Pb > Cu > As > Cr. Soil urease activity, alkaline phosphatase activity, and invertase activity varied considerably in different pollution degree sites. Soil enzyme activities had the lowest levels in roadside and industrial regions. Across all the soil data in the five regions, the total Cu, Zn, Pb, Cd, Cr, and As level was negatively correlated with urease activity, alkaline phosphatase activity, and invertase activity, but the relationship was not significant. In the industrial region, alkaline phosphatase activity had significant negative correlations with total Cu, Pb, Cr, Zn, Cd, and heavy metal fractions. This showed that alkaline phosphatase activity was sensitive to heavy metals in heavily contaminated regions, whereas urease and invertase were less affected. The combination of the various methods may offer a powerful analytical technique in the study of heavy metal pollution in street soil.
采集并分析了中国连云港16个城市地点的土壤样本。采用污染指数评估重金属的潜在生态风险,并采用连续提取程序评估铜、锌、铅、镉、铬和砷在可交换态、碳酸盐态、铁/锰氧化物态、有机/硫化物态和残留态中的相对分布。测定了土壤中重金属的迁移性以及脲酶(URE)活性、碱性磷酸酶(ALP)活性和转化酶(INV)活性。结果表明,连云港土壤中铜、锌、铅、镉、铬和砷的平均浓度远高于江苏和中国沿海城市土壤背景值。在五个研究区域(公用事业区、商业区、工业区、旅游区和路边)中,工业区的金属浓度最高,表明土地利用对连云港土壤中重金属的积累有显著影响。与其他金属相比,镉的生态风险最高。根据化学分配,铜与有机/硫化物有关,铅和锌主要存在于碳酸盐态和铁/锰氧化物态。镉在可交换态和碳酸盐态中含量最高,而铬和砷主要存在于残留态中。镉在所有金属中的迁移性最高,连云港土壤中重金属迁移性顺序(从高到低)为镉>锌>铅>铜>砷>铬。不同污染程度的地点土壤脲酶活性、碱性磷酸酶活性和转化酶活性差异很大。路边和工业区的土壤酶活性水平最低。在五个区域的所有土壤数据中,总铜、锌、铅、镉、铬和砷水平与脲酶活性、碱性磷酸酶活性和转化酶活性呈负相关,但关系不显著。在工业区,碱性磷酸酶活性与总铜、铅、铬、锌、镉和重金属组分呈显著负相关。这表明在重污染区域碱性磷酸酶活性对重金属敏感,而脲酶和转化酶受影响较小。各种方法的结合可能为街道土壤重金属污染研究提供一种强大的分析技术。