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Numerical Simulation to Air Pollution Emission Control near an Industrial Zone

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  • Pravitra Oyjinda
  • Nopparat Pochai

Abstract

A rapid industrial development causes several environment pollution problems. One of the main problems is air pollution, which affects human health and the environment. The consideration of an air pollutant has to focus on a polluted source. An industrial factory is an important reason that releases the air pollutant into the atmosphere. Thus a mathematical model, an atmospheric diffusion model, is used to estimate air quality that can be used to describe the sulfur dioxide dispersion. In this research, numerical simulations to air pollution measurement near industrial zone are proposed. The air pollution control strategies are simulated to achieve desired pollutant concentration levels. The monitoring points are installed to detect the air pollution concentration data. The numerical experiment of air pollution consisted of different situations such as normal and controlled emissions. The air pollutant concentration is approximated by using an explicit finite difference technique. The solutions of calculated air pollutant concentration in each controlled and uncontrolled point source at the monitoring points are compared. The air pollutant concentration levels for each monitoring point are controlled to be at or below the national air quality standard near industrial zone index.

Suggested Citation

  • Pravitra Oyjinda & Nopparat Pochai, 2017. "Numerical Simulation to Air Pollution Emission Control near an Industrial Zone," Advances in Mathematical Physics, Hindawi, vol. 2017, pages 1-7, October.
    • Handle: RePEc:hin:jnlamp:5287132
    DOI: 10.1155/2017/5287132
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    Cited by:

    1. Shahaboddin Shamshirband & Masoud Hadipoor & Alireza Baghban & Amir Mosavi & Jozsef Bukor & Annamária R. Várkonyi-Kóczy, 2019. "Developing an ANFIS-PSO Model to Predict Mercury Emissions in Combustion Flue Gases," Mathematics, MDPI, vol. 7(10), pages 1-16, October.
    2. Mykola Dyvak & Iryna Spivak & Andriy Melnyk & Volodymyr Manzhula & Taras Dyvak & Artur Rot & Marcin Hernes, 2023. "Modeling Based on the Analysis of Interval Data of Atmospheric Air Pollution Processes with Nitrogen Dioxide due to the Spread of Vehicle Exhaust Gases," Sustainability, MDPI, vol. 15(3), pages 1-17, January.
    3. Darae Jeong & Sangkwon Kim & Chaeyoung Lee & Junseok Kim, 2020. "An Accurate and Practical Explicit Hybrid Method for the Chan–Vese Image Segmentation Model," Mathematics, MDPI, vol. 8(7), pages 1-14, July.

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