摘要
以浙江东部沿海典型地区慈溪市土壤重金属为研究对象,全面分析了土壤中Cd、Pb、Zn和Cu的含量及赋存形态,通过各指标间相关分析、重金属生物活性系数和迁移系数等的研究考察土壤重金属的生物有效性及影响因素。研究结果表明,土壤中重金属的各种形态含量占比、变异程度、生物有效性差异均较明显,其中Cd的不稳定性和潜在生态危害性最大。研究区土壤理化性状对重金属生物有效性影响明显,其中土壤重金属总量、有机质含量升高均会增加4种重金属的生物有效性,Cd、Pb和Zn的生物有效性均随着pH降低而升高,而Cu、Pb和Zn的生物有效性随着土壤黏粒含量升高而降低。在开展土壤污染防治工作时,应在土壤重金属总量评价的基础上,综合考虑与各重金属生物有效性有显著相关关系的土壤理化性质指标,有针对性地选择土壤污染治理修复措施,以达到应有的土壤污染治理修复效果。
The soil heavy metals in typical areas along the eastern coast of Zhejiang were chosen as objectives,the content and speciation of soil Cd,Pb,Zn and Cu were comprehensive analyzed,the bioavailability and influence factors of soil heavy metals were explored based on the correlation,bioactivity and migration coefficient analyses.The results showed that there were significant differences in the speciation ratio,variability and bioavailability of the heavy metals,Cd had the greatest instability and potential ecological hazard.The impacts of the soil properties on the speciation of the heavy metals were obviously significant,the bioavailability of heavy metals enhanced with the increase of the total concentrations of soil heavy metals and organic matters.The bioavailability of Cd,Pb and Zn increased with the decrease of pH.Cu,Pb and Zn showed greater bioavailability when clay concentration of soil declined.Therefore,in the process of soil pollution prevention and control,the comprehensive evaluation of soil heavy metal total concentrations as well as physical and chemical properties,which had significant correlation with bioavailability of heavy metals,should be considered in the selection of prevention measures,then the remarkable results would present.
作者
韦继康
余晓霞
王保欣
王刚
WEI Jikang;YU Xiaoxia;WANG Baoxin;WANG Gang(Zhejiang Institute of Hydrogeology and Engineering Geology,Ningbo Zhejiang 315012)
出处
《环境污染与防治》
CAS
CSCD
北大核心
2021年第10期1231-1237,共7页
Environmental Pollution & Control
基金
慈溪市自然资源和规划局“慈溪市土地质量地质调查项目”(No.NBGXCG17021)。
关键词
浙江东部沿海典型地区
土壤重金属
赋存形态
生物有效性
影响因素
typical areas along the eastern coast of Zhejiang
soil heavy metals
speciation
bioavailability
influence factors
