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Author: search.filters.author.Amornsamankul, SomkidSubject: search.filters.subject.Mathematical model

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    Modelling greenhouse gas generation for landfill
    (2018-01-01)
    Sirimangkhala, Khwansiri
    ;
    Pimpunchat, Busayamas
    ;
    Amornsamankul, Somkid
    ;
    Triampo, Wannapong
    Landfill has been widely used in many countries for the final disposal of solid waste material due to its economic advantages. Landfills emit mostly methane and carbon dioxide. In this work, the dynamic characteristics of greenhouse gases generated from the closed landfill system were studied. The chemical reaction processes involved are considered and a mathematical model is formulated and analyzed. The behaviors of the key greenhouse gases, namely, carbon dioxide and methane, are carefully studied. It was found that our proposed model is qualitatively in good agreement with the real world phenomena. The characteristics of greenhouse gases of interest namely carbon dioxide and methane were found to depend on the reaction rate in a complex manner. Since the system is closed, each gas species becomes a constraint to one another. We can utilize these findings to control the landfill system and to take benefit from the useful products. Moreover, it suggests that methane and carbon dioxide could be used for electricity generation which helps reduce greenhouse gases in atmosphere.
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    Applying genetic algorithm and fourier series to WQI of Tha Chin river in Thailand
    (2012-12-01)
    Amornsamankul, Somkid
    ;
    Pimpunchat, Busayamas
    ;
    Duangchai-Yoosook, Sartja
    ;
    Triampo, Wannapong
    Water pollution is the main problem that effects on the community in Thailand. The Pollution Control Department in Thailand has indexed the water quality using eight parameters. In this paper, the main propose is to reduce eight parameters of water quality index(WQI) to four parameters which are dissolved oxygen (DO), total solid (TS), biological oxygen demand (BOD), and suspended solid (SS). The factor analysis, correlation analysis and fourier series are used to simulate the data. The data obtained from Tha Chin river during 2002 - 2007 is used in this model. The genetic algorithm is applied to find the weight of each parameter. The result shows that the modified WQI using four parameters provides the same result obtained from the model using eight parameters.