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深圳地区全氟辛烷磺酸的环境多介质迁移和归趋行为研究
摘要点击 2356  全文点击 1130  投稿时间:2016-01-12  修订日期:2016-03-14
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中文关键词  全氟辛烷磺酸  逸度模型  环境介质  迁移和归趋  灵敏度分析  不确定度分析  深圳
英文关键词  perfluorooctane sulfonate  fugacity model  environmental media  transfer and fate  sensitivity analysis  uncertainty analysis  Shenzhen
作者单位E-mail
崔晓宇 深圳大学生命科学学院, 深圳 518060 stillfancy@sina.com 
张鸿 深圳大学物理科学与技术学院, 深圳 518060 zhangh@szu.edu.cn 
罗骥 大连大学物理科学与技术学院, 大连 116622  
张若冰 Brandeis University, Waltham, MA 02453, US  
中文摘要
      为探究全氟辛烷磺酸(perfluorooctane sulfonate,PFOS)在深圳地区的环境多介质迁移和归趋行为,本研究利用Level Ⅲ逸度模型,通过输入PFOS的物理化学性质参数和深圳地区环境参数,首先模拟计算了深圳地区大气、水体、土壤和沉积物中PFOS的含量并用实测数据进行验证,其次基于PFOS在各相间的迁移通量分析确定了其主要的迁移途径及归趋行为,最后对模型的输入参数和输出结果分别进行了灵敏度和不确定度分析. 结果表明,大气、水体、土壤和沉积物中的PFOS模拟含量分别为1.4 pg·m-3、7.0 ng·L-1、0.39 μg·kg-1和0.11 μg·kg-1,和实测结果较吻合. 气相到土相、土相到水相和气相到水相的迁移量分别占PFOS相间总迁移量的32%、32%和5.8%,是PFOS相间的主要迁移途径,而PFOS随水体迁出是其从区域环境迁出的主要途径. 大气和水体的平流输入速率、温度、PFOS的水溶性和降雨,以及土壤和沉积物的密度是影响模型输出结果的关键参数. 不确定度分析结果则表明PFOS含量在水体中的变异系数最小而在土壤中的最大,这可能是由土壤易于变化的有机碳含量造成的.
英文摘要
      To study the transfer and fate of perfluorooctane sulfonate (PFOS) in Shenzhen region, a level Ⅲ fugacity model was used to simulate and calculate the concentrations of PFOS in local air, water, soil and sediment. Physical and chemical parameters of PFOS and environmental parameters of Shenzhen were entered into the model. The simulated concentrations were compared with actual measurements to validate the model, and then analyzed based on the transfer flux of PFOS between media to identify the main transfer route. The input parameters and output results of the model underwent sensitivity analysis and uncertainty analysis, respectively. The simulated concentrations of PFOS in air, water, soil and sediment were 1.4 pg·m-3, 7.0 ng·L-1, 0.39 μg·kg-1 and 0.11 μg·kg-1, in good agreement with the actual measurements. The transfer from air to soil, soil to water and air to water were the main PFOS transfer routes between media, accounting for 32%, 32%, 5.8% of total transfer, respectively. The transfer through water was the major PFOS outlet from a region. The advective input of air and water, temperature, PFOS solubility, precipitation and density of soil and sediment were the key parameters affecting the model output. Uncertainty analysis showed that the coefficient of variation of PFOS concentrations reached the minimum in water and the maximum in soil, which may be caused by the highly changeable content of organic carbon in soil.

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