Sun Jing-Wei, Yu Rui-Lian, Hu Gong-Ren, Su Guang-Ming, Wang Xiao-Ming
Department of Environmental Science and Engineering, Huaqiao University, Xiamen 361021, China.
School of Resources and Environmental Science, Quanzhou Normal University, Quanzhou 362000, China.
Huan Jing Ke Xue. 2017 Apr 8;38(4):1566-1575. doi: 10.13227/j.hjkx.201609131.
The contents of 8 heavy metal elements (Sr, Ni, Fe, Cr, Cu, Mn, Pb, Zn) and the lead & strontium isotope composition of soil profile of woodland in Quanzhou city were analyzed by AAS and ICP-MS, respectively. A modified BCR four-step sequential extraction procedure was carried out to obtain the speciation fractionation of heavy metals in the soil profile from 4 stations. The results of the heavy metal elements and the speciation fractionation of heavy metals in the soil profile showed that the heavy metal pollution in the woodland in Quanzhou was relatively light, and the main pollution factor was Sr. The non-residue state of Pb was the highest, leading to the highest activity. The result of Nemero comprehensive pollution index showed that Sr in the depth of 0-60 cm was at heavy pollution level. The results of the RSP showed that the activity of Pb was the highest. The results of EF showed that Pb, Sr, Mn and Zn had exogenous sources. Factor analysis showed that the main sources of heavy metals were the compound pollution of agricultural activities, natural resources, and the vehicle exhaust. Composition of Pb isotopic ratios showed that, Pb in soil profile of woodland in Quanzhou was from vehicle exhaust and parent material. The contribution rates of the two sources in the soil profile were calculated by using the two-mixed model. The contribution rates of parent material and vehicle exhaust were 85.14%(62.53%-98.36%) and 14.86%(1.640%-37.47%) on average, respectively. Strontium isotope tracing results showed that the main sources of strontium were also vehicle exhaust and parent material. Coupling both Pb and Sr isotope ratios agreed with the above mentioned results.
采用原子吸收光谱法(AAS)和电感耦合等离子体质谱法(ICP-MS)分别分析了泉州市林地土壤剖面中8种重金属元素(锶、镍、铁、铬、铜、锰、铅、锌)的含量以及铅和锶的同位素组成。采用改进的BCR四步连续萃取程序,对4个采样点土壤剖面中的重金属进行形态分级。土壤剖面中重金属元素及形态分级结果表明,泉州市林地重金属污染较轻,主要污染因子为锶。铅的非残渣态含量最高,活性最强。内梅罗综合污染指数结果表明,0-60cm深度的锶处于重度污染水平。潜在生态风险指数结果表明,铅的活性最高。富集因子结果表明,铅、锶、锰和锌有外源输入。因子分析表明,重金属主要来源为农业活动、自然资源及汽车尾气的复合污染。铅同位素比值组成表明,泉州市林地土壤剖面中的铅来自汽车尾气和母质。利用双端元混合模型计算了二者在土壤剖面中的贡献率,母质和汽车尾气的平均贡献率分别为85.14%(62.53%-98.36%)和14.86%(1.640%-37.47%)。锶同位素示踪结果表明,锶的主要来源同样是汽车尾气和母质。铅和锶同位素比值耦合结果与上述结果一致。