|Water Science and Engineering 2018, 11(1) 23-38 DOI: https://doi.org/10.1016/j.wse.2017.08.001 ISSN: 1674-2370 CN: 32-1785/TV|
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Numerical investigation of pollution transport and environmental improvement measures in a tidal bay based on a Lagrangian particle-tracking model
En-jin Zhao a, Lin Mu a, Ke Qu b,*, Bing Shi c, Xing-yue Ren d, Chang-bo Jiang b
a College of Marine Science and Technology, China University of Geosciences, Wuhan 430074, China b School of Hydraulic Engineering, Changsha University of Science and Technology, Changsha 410114, China c College of Engineering, Ocean University of China, Qingdao 266100, China d College of Civil Engineering and Architecture, Hainan University, Haikou 570228, China
In view of the severity of oceanic pollution, based on the finite volume coastal ocean model (FVCOM), a Lagrangian particle-tracking model was used to numerically investigate the coastal pollution transport and water exchange capability in Tangdao Bay, in China. The severe pollution in the bay was numerically simulated by releasing and tracking particles inside it. The simulation results demonstrate that the water exchange capability in the bay is very low. Once the bay has suffered pollution, a long period will be required before the environment can purify itself. In order to eliminate or at least reduce the pollution level, environmental improvement measures have been proposed to enhance the seawater exchange capability and speed up the water purification inside the bay. The study findings presented in this paper are believed to be instructive and useful for future environmental policy makers and it is also anticipated that the numerical model in this paper can serve as an effective technological tool to study many emerging coastal environment problems.
|Keywords： Particle-tracking Water exchange capability Lagrangian system Coastal pollution Tangdao bay FVCOM|
|Received 2017-03-21 Revised 2017-08-03 Online: 2018-01-31|
This work was supported by the National Key Research and Development Program of China (Grant No. 2017YFC1404700), the National Natural Science Foundation of China (Grant No. 51609056), the Guangdong Special Fund for Economic Development (Marine Economic) (Grant No. TBD), the Discipline Layout Project for Basic Research of Shenzhen Science and Technology Innovation Committee (Grant No. 20170418), the Hydraulic Engineering Science and Technology Project of Hunan Province (Grant No. 201513-37), and the Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan).
|Corresponding Authors: email@example.com (Ke Qu)|
|About author: firstname.lastname@example.org (Ke Qu)|
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