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- W3154456494 abstract "An early warning model for simulating conventional sudden water pollution in a plain river network based on a mainstream algorithm is first developed, and a calculation method for the early warning indexes is proposed in this paper. Specifically, a water quality model for conservative substances based on the sufficient mixing assumption is developed and embedded into an existing hydrodynamic and water quality model; thus, an early warning model for conventional sudden water pollution is constructed. Furthermore, we explore the idea of calculating the early warning indexes by using two concentration profiles of accidental pollutants and conservative substances and propose a corresponding calculation method based on the established model. Taking the Yixing river network as a case study, the influence of some factors on the index calculation is emphatically discussed. The results show that (a) the increase in pollutant concentration at the sensitive receptors during the impact of an accident is closely related to the background concentration, resulting in differences in the calculation results of the indexes in the upper and lower reaches. (b) Increasing the concentration limit of the functional area is conducive to prolonging the response time to control the impact from an accident, shortening the duration of the impact from an accident and reducing the damage risk to sensitive receptors. (c) Shortening the space step reduces the diffusion errors, which is beneficial for prolonging the response time to control the impact from an accident, shortening the duration of the impact from an accident and increasing the maximum standard -exceeding multiple of water quality." @default.
- W3154456494 created "2021-04-26" @default.
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- W3154456494 date "2021-06-01" @default.
- W3154456494 modified "2023-09-26" @default.
- W3154456494 title "Quantitative study on the early warning indexes of conventional sudden water pollution in a plain river network" @default.
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- W3154456494 doi "https://doi.org/10.1016/j.jclepro.2021.127067" @default.
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