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利用水动力模型预测中国一条严重污染的河流——大凌河及其支流(该河注入渤海)中全氟辛烷磺酸(PFOS)和全氟辛酸(PFOA)的迁移情况。

Using hydrodynamic model to predict PFOS and PFOA transport in the Daling River and its tributary, a heavily polluted river into the Bohai Sea, China.

作者信息

Li Qifeng, Wang Tieyu, Zhu Zhaoyun, Meng Jing, Wang Pei, Suriyanarayanan Sarvajayakesavalu, Zhang Yueqing, Zhou Yunqiao, Song Shuai, Lu Yonglong, Yvette Baninla

机构信息

State Key Lab 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 Lab 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.

出版信息

Chemosphere. 2017 Jan;167:344-352. doi: 10.1016/j.chemosphere.2016.09.119. Epub 2016 Oct 12.

Abstract

Perfluorooctane sulfonate (PFOS) and perfluorooctanoic acid (PFOA) are extremely persistent in the environment, and have the potential for long-range transport. The present study focused on the Daling River and its tributary, a larger river flowing into Liaodong Bay of the Bohai Sea. Recent studies have shown the elevated levels of PFOS and PFOA in the Daling River. Hence, the objective of this study was to investigate the seasonal changes, fate and transport modeling of PFOS and PFOA concentrations using one-dimensional DHI MIKE-11 river model. We designed three scenarios to assess the risk of PFOS and PFOA in surface water: the measured concentrations, constant maximum and the magnitude of a continuous constant load. The mean absolute errors divided by the mean of measured concentrations were 41-64% for PFOS and 29-36% for PFOA. The result indicated that PFOS and PFOA in the downstream of the Daling River would not reach a harmful level with the current load. The fluorochemical parks contributed an average of 44.57% of the total PFOS and 95.44% of the total PFOA flow that reached the estuary. The mass flow was observed as 1.74 kg y for PFOS and 40.57 kg y for PFOA to the Bohai Sea. These modeling results may be useful for monitoring the status and trends of emerging POPs and will help the determination of the risk to both humans and wildlife, in the estuarine and coastal areas of the Bohai Sea, China.

摘要

全氟辛烷磺酸(PFOS)和全氟辛酸(PFOA)在环境中具有极强的持久性,并且具有远距离传输的可能性。本研究聚焦于大凌河及其支流,这是一条流入渤海辽东湾的较大河流。近期研究表明大凌河中PFOS和PFOA的含量有所升高。因此,本研究的目的是利用一维DHI MIKE - 11河流模型研究PFOS和PFOA浓度的季节变化、归宿和迁移模型。我们设计了三种情景来评估地表水PFOS和PFOA的风险:实测浓度、恒定最大值以及连续恒定负荷量。PFOS的平均绝对误差除以实测浓度平均值为41% - 64%,PFOA为29% - 36%。结果表明,在当前负荷下,大凌河下游的PFOS和PFOA不会达到有害水平。氟化学园区对流入河口的总PFOS流量平均贡献为44.57%,对总PFOA流量贡献为95.44%。观测到流入渤海的PFOS质量流量为1.74千克/年,PFOA为40.57千克/年。这些模型结果可能有助于监测新兴持久性有机污染物的现状和趋势,并有助于确定中国渤海河口和沿海地区对人类和野生动物的风险。

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