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Characteristics of a general mathematical model for water-quality management in large reservoirs

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Hydrotechnical Construction Aims and scope

Conclusions

  1. 1.

    The synthesis of analytical solutions with the results of both prototype and laboratory experimental investigations is the most promising when constructing a general mathematical model of water-quality management. It is expedient to compare in the near future the existing particular mathematical models oriented towards third- and fourth-generation computers.

  2. 2.

    The occurrence of wind and its parameters are random variables. Wave parameters are also random variables. It is natural therefore that the distribution of pollutant concentrations should be evaluated on the basis of a stochastic approach. In turn the refined mathematical model will make it possible to establish operating regimes of outlets corresponding to reality and to use more completely the self-purifying capacity of a water body.

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Literature cited

  1. I. I. Borodavchenko, Yu. S. Vasil'ev, N. V. Zarubaev, Kh. A. Vel'ner, and S. V. Yakovlev, Conservation of Water Resources [in Russian], Kolos, Moscow (1979).

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  2. L. L. Paal', Engineering Methods of Calculating the Formation of Water Quality of Streams [in Russian], TPI, Tallin (1976).

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  3. A. I. Al'khimenko and G. V. Simakov, “Movement of oil spots on the sea surface under the effect of external factors,” in: Intercollegiate Collection of Works [in Russian], LPI (1978).

  4. A. I. Al'khimenko, Yu. V. Zhuravlev, and N. S. Yatskii, “Effect of wind and wave processes on diffusion of pollutants,” in: Intercollegiate Collection of Works [in Russian], DVGU (1981).

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Authors
  1. Yu. S. Vasil'ev
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  2. G. V. Simakov
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  3. A. I. Al'khimenko
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Additional information

Translated from Gidrotekhnicheskoe Stroitel'stvo, No. 8, pp. 36–37, August, 1983.

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Vasil'ev, Y.S., Simakov, G.V. & Al'khimenko, A.I. Characteristics of a general mathematical model for water-quality management in large reservoirs. Hydrotechnical Construction 17, 432–434 (1983). https://doi.org/10.1007/BF01425116

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  • DOI: https://doi.org/10.1007/BF01425116

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