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Computer- Based Study Of Patterns In Fish Pond Ecosystem Evolution

Author

Listed:
  • Faisaly Komilov

    (The Department of Informatics, Tajik National University, Rudaki Avenue, 17, Dushanbe, Tajikistan)

  • Sai’alo Mirzoyev

    (The department of fundamental and natural sciences, Branch Lomonosov Moscow State University in Dushanbe, Bokhtar 35/1, Dushanbe, Tajikistan)

Abstract

There has to be a significant management effort, as well as climate change, to maintain the fish pond ecosystem. Thus, all possible variables are necessary to be taken into account. Based on mathematical model, implemented in an object-oriented C# language on a computer, we have played 35 climate scenarios and management options for dynamics of certain fish pond ecosystem models. Conducted research and analysis of the experimental results allow concluding that developed model adequately reflects the patterns of fish pond ecosystem evolution within one season of fish farming. Thus, model presented in the article can be useful in increasing the fish population, while reducing the risks of damaging the ecosystem.

Suggested Citation

  • Faisaly Komilov & Sai’alo Mirzoyev, 2018. "Computer- Based Study Of Patterns In Fish Pond Ecosystem Evolution ," Journal of Mechanical Engineering Research & Developments (JMERD), Zibeline International Publishing, vol. 41(2), pages 9-13, July.
    • Handle: RePEc:zib:zjmerd:v:41:y:2018:i:2:p:9-13
    DOI: 10.26480/jmerd.02.2018.09.13
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    References listed on IDEAS

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    1. Blayac, Thierry & Mathé, Syndhia & Rey-Valette, Hélène & Fontaine, Pascal, 2014. "Perceptions of the services provided by pond fish farming in Lorraine (France)," Ecological Economics, Elsevier, vol. 108(C), pages 115-123.
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    Cited by:

    1. Tien Quoc Le & Diep Thi Ngoc Hoang & Thu Thi Anh Do, 2019. "Learning Outcomes For Training Program By Cdio Approach Applied To Mechanical Industry 4.0," Journal of Mechanical Engineering Research & Developments (JMERD), Zibeline International Publishing, vol. 42(1), pages 50-55, January.

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