State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China.
State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Environ Int. 2014 Feb;63:53-63. doi: 10.1016/j.envint.2013.10.015. Epub 2013 Nov 17.
Predicting the environmental multimedia fate is an essential step in the process of assessing the human exposure and health impacts of chemicals released into the environment. Multimedia fate models have been widely applied to calculate the fate and distribution of chemicals in the environment, which can serve as input to a human exposure model. In this study, a grid based multimedia fugacity model at regional scale was developed together with a case study modeling the fate and transfer of Benzo[α]pyrene (BaP) in Bohai coastal region, China. Based on the estimated emission and in-site survey in 2008, the BaP concentrations in air, vegetation, soil, fresh water, fresh water sediment and coastal water as well as the transfer fluxes were derived under the steady-state assumption. The model results were validated through comparison between the measured and modeled concentrations of BaP. The model results indicated that the predicted concentrations of BaP in air, fresh water, soil and sediment generally agreed with field observations. Model predictions suggest that soil was the dominant sink of BaP in terrestrial systems. Flow from air to soil, vegetation and costal water were three major pathways of BaP inter-media transport processes. Most of the BaP entering the sea was transferred by air flow, which was also the crucial driving force in the spatial distribution processes of BaP. The Yellow River, Liaohe River and Daliao River played an important role in the spatial transformation processes of BaP. Compared with advection outflow, degradation was more important in removal processes of BaP. Sensitivities of the model estimates to input parameters were tested. The result showed that emission rates, compartment dimensions, transport velocity and degradation rates of BaP were the most influential parameters for the model output. Monte Carlo simulation was carried out to determine parameter uncertainty, from which the coefficients of variation for the estimated BaP concentrations in air and soil were computed, which were 0.46 and 1.53, respectively. The model output-concentrations of BaP in multimedia environment can be used in human exposure and risk assessment in the Bohai coastal region. The results also provide significant indicators on the likely dominant fate, influence range of emission and transport processes determining behavior of BaP in the Bohai coastal region, which is instrumental in human exposure and risk assessment in the region.
预测环境多介质归宿是评估化学物质释放到环境中对人类暴露和健康影响的过程中的一个重要步骤。多介质归宿模型已广泛应用于计算环境中化学物质的归宿和分布,可作为人类暴露模型的输入。本研究建立了一个基于网格的区域尺度多介质逸度模型,并结合案例研究模拟了苯并[a]芘(BaP)在中国渤海沿海地区的归宿和迁移。基于 2008 年的估算排放量和现场调查,在稳态假设下,推导出了空气中、植被中、土壤中、淡水中、淡水沉积物中和沿海水体中的 BaP 浓度以及迁移通量。通过将实测浓度与模型预测浓度进行比较,对模型结果进行了验证。模型结果表明,空气中、淡水中、土壤中和沉积物中 BaP 的预测浓度与现场观测结果基本一致。模型预测结果表明,土壤是陆地系统中 BaP 的主要汇。空气向土壤、植被和沿海水体的传输是 BaP 跨介质迁移过程的三个主要途径。进入海洋的大部分 BaP 是通过空气流转移的,这也是 BaP 空间分布过程的关键驱动力。黄河、辽河和大辽河在 BaP 的空间转化过程中发挥了重要作用。与平流输出相比,降解在 BaP 的去除过程中更为重要。测试了模型估计值对输入参数的敏感性。结果表明,BaP 的排放量、隔室尺寸、传输速度和降解速率是模型输出的最具影响力的参数。进行了蒙特卡罗模拟以确定参数不确定性,从中计算了估计的 BaP 浓度在空气中和土壤中的变异系数,分别为 0.46 和 1.53。多介质环境中 BaP 的模型输出浓度可用于渤海沿海地区的人类暴露和风险评估。结果还提供了关于可能的主导归宿、排放和传输过程影响范围的重要指标,这些过程决定了 BaP 在渤海沿海地区的行为,这对于该地区的人类暴露和风险评估具有重要意义。