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Calculation Method for the Early Warning Index of Sudden Water Pollution Based on the Linear Variation Assumption of the Substance Concentration in the River Network

Author

Listed:
  • Dayong Li

    (Hohai University)

  • Zengchuan Dong

    (Hohai University)

  • Chuanhai Wang

    (Hohai University)

  • Jintao Liu

    (Hohai University)

  • Hongyi Yao

    (Hohai University)

Abstract

Based on the linear variation assumption of the substance concentration, a water quality model is reconstructed, and an early warning model coupled with the river network hydrodynamics and water quality for conventional pollutants and conservative substances is further developed. This paper proposes a new method for calculating the early warning of conventional sudden water pollution accidents, and numerical tests under accidental scenarios are carried out to verify the feasibility of the method. Finally, the influencing factors of the early warning index calculation are analysed, the diffusion errors under two assumptions are compared, and the following conclusions are obtained: (a) the spatial differences in the calculation results of the early warning indexes are mainly caused by the transport path and speed of the accidental pollutants in the river network and the background concentration of the accidental pollutants at sensitive receptors; (b) The numerical diffusion error and the attenuation effect during the transport process of the substance brought by the linear variation assumption is smaller than those of the sufficient mixing assumption; and (c) the linear variation assumption is favourable for prolonging the response time to control the impact from the accident, shortening the duration of the accident impact and decreasing the maximum standard-exceeding multiple of the water quality.

Suggested Citation

  • Dayong Li & Zengchuan Dong & Chuanhai Wang & Jintao Liu & Hongyi Yao, 2020. "Calculation Method for the Early Warning Index of Sudden Water Pollution Based on the Linear Variation Assumption of the Substance Concentration in the River Network," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(9), pages 2821-2835, July.
    • Handle: RePEc:spr:waterr:v:34:y:2020:i:9:d:10.1007_s11269-020-02584-7
    DOI: 10.1007/s11269-020-02584-7
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    References listed on IDEAS

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    1. Dayong Li & Zengchuan Dong & Liyao Shi & Jintao Liu & Zhenye Zhu & Wei Xu, 2019. "Risk Probability Assessment of Sudden Water Pollution in the Plain River Network Based on Random Discharge from Multiple Risk Sources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(12), pages 4051-4065, September.
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    Cited by:

    1. Haizhen Hu & Jia Wang & Gang Zhou & Sichen Tong & Weifu Wang & Tingting Hu, 2024. "Understanding the Water Quality Changes of the Typical Plain River Network Area Using Comprehensive Assessment Methods," Sustainability, MDPI, vol. 16(20), pages 1-18, October.

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