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Simulation Analysis of the Dispersion of Typical Marine Pollutants by Fusion of Multiple Processes

Author

Listed:
  • Xueqing Guo

    (Institute for Ocean Engineering, Tsinghua Shenzhen International Graduate School, Shenzhen 518055, China)

  • Yi Liu

    (Institute for Ocean Engineering, Tsinghua Shenzhen International Graduate School, Shenzhen 518055, China)

  • Jian-Min Zhang

    (Institute for Ocean Engineering, Tsinghua University, Beijing 100084, China
    Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China)

  • Shengli Chen

    (Institute for Ocean Engineering, Tsinghua Shenzhen International Graduate School, Shenzhen 518055, China)

  • Sunwei Li

    (Institute for Ocean Engineering, Tsinghua Shenzhen International Graduate School, Shenzhen 518055, China)

  • Zhen-Zhong Hu

    (Institute for Ocean Engineering, Tsinghua Shenzhen International Graduate School, Shenzhen 518055, China
    Institute for Ocean Engineering, Tsinghua University, Beijing 100084, China)

Abstract

The rapid development of coastal economies has aggravated the problem of pollution in the coastal water bodies of various countries. Numerous incidents of massive-scale marine life deaths have been reported because of the excessive discharge of industrial and agricultural wastewater. To investigate the diffusion of typical pollutants after discharge, in this study, a multi-process fusion simulation analysis model of pollutants under the action of ocean currents was established based on the concentration analysis method. Furthermore, key technologies involved, such as the parameter value, data selection, and visualization, were investigated. The iterative analysis and programming realization of three independent sub-processes, such as pollutant diffusion and transport, and the drift path and concentration distribution of pollutants after their discharge into the sea, were visualized. The case study revealed that the increase in the concentration of pollutants in the ocean was affected by the diffusion sub-process, and the transport sub-process plays a critical role in the long-distance transport of pollutants. The proposed method can provide technical support for marine environmental risk assessment and dynamic tracking of marine pollutants.

Suggested Citation

  • Xueqing Guo & Yi Liu & Jian-Min Zhang & Shengli Chen & Sunwei Li & Zhen-Zhong Hu, 2023. "Simulation Analysis of the Dispersion of Typical Marine Pollutants by Fusion of Multiple Processes," Sustainability, MDPI, vol. 15(13), pages 1-21, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:10547-:d:1186803
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    References listed on IDEAS

    as
    1. Benli Guo & Peng Yang & Yan Zhou & Hongjian Ai & Xiaodong Li & Rifei Kang & Youcheng Lv, 2022. "Numerical Simulation of Carbon Tetrachloride Pollution-Traceability in Groundwater System of an Industrial City," Sustainability, MDPI, vol. 14(23), pages 1-17, December.
    2. Min Pang & Weiwei Song & Peng Zhang & Yongxu Shao & Lanyimin Li & Yong Pang & Jianjian Wang & Qing Xu, 2018. "Research into the Eutrophication of an Artificial Playground Lake near the Yangtze River," Sustainability, MDPI, vol. 10(3), pages 1-19, March.
    3. Xiaosheng Lin & Jie Tang & Zhaoyang Li & Haiyi Li, 2016. "Finite Element Simulation of Total Nitrogen Transport in Riparian Buffer in an Agricultural Watershed," Sustainability, MDPI, vol. 8(3), pages 1-14, March.
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