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开发一个用于评估长江河口水库水质的综合三维水动力和新兴污染物模型。

Developing an integrated 3D-hydrodynamic and emerging contaminant model for assessing water quality in a Yangtze Estuary Reservoir.

作者信息

Xu Cong, Zhang Jingjie, Bi Xiaowei, Xu Zheng, He Yiliang, Gin Karina Yew-Hoong

机构信息

School of Environmental Science and Engineering, Shanghai Jiao Tong University, No. 800 Dongchuan Road, Minhang District, Shanghai, 200240, China.

Dept. of Civil & Environmental Engineering, National University of Singapore, 117576, Singapore.

出版信息

Chemosphere. 2017 Dec;188:218-230. doi: 10.1016/j.chemosphere.2017.08.121. Epub 2017 Aug 23.

Abstract

An integrated 3D-hydrodynamic and emerging contaminant model was developed for better understanding of the fate and transport of emerging contaminants in Qingcaosha Reservoir. The reservoir, which supplies drinking water for nearly half of Shanghai's population, is located in Yangtze Delta. The integrated model was built by Delft3D suite, a fully integrated multidimensional modeling software. Atrazine and Bisphenol A (BPA) were selected as two representative emerging contaminants for the study in this reservoir. The hydrodynamic model was calibrated and validated against observations from 2011 to 2015 while the integrated model was calibrated against observations from 2014 to 2015 and then applied to explore the potential risk of high atrazine concentrations in the reservoir driven by agriculture activities. Our results show that the model is capable of describing the spatial and temporal patterns of water temperature, salinity and the dynamic distributions of two representative emerging contaminants (i.e. atrazine and BPA) in the reservoir. The physical and biodegradation processes in this study were found to play a crucial role in determining the fate and transport of atrazine and BPA in the reservoir. The model also provides an insight into the potential risk of emerging contaminants and possible mitigation thresholds. The integrated approach can be a very useful tool to support policy-makers in the future management of Qingcaosha Reservoir.

摘要

为了更好地理解青草沙水库中新型污染物的归宿和迁移,开发了一个综合的三维水动力和新型污染物模型。该水库为近一半上海人口供应饮用水,位于长江三角洲地区。综合模型由Delft3D套件构建,这是一个完全集成的多维建模软件。选择阿特拉津和双酚A(BPA)作为该水库研究中的两种代表性新型污染物。水动力模型根据2011年至2015年的观测数据进行校准和验证,而综合模型根据2014年至2015年的观测数据进行校准,然后用于探索农业活动导致水库中阿特拉津高浓度的潜在风险。我们的结果表明,该模型能够描述水库中水温、盐度的时空模式以及两种代表性新型污染物(即阿特拉津和双酚A)的动态分布。研究发现,本研究中的物理和生物降解过程在决定阿特拉津和双酚A在水库中的归宿和迁移方面起着关键作用。该模型还深入了解了新型污染物的潜在风险和可能的缓解阈值。这种综合方法可以成为未来支持决策者管理青草沙水库的非常有用的工具。

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