IJESD 2017 Vol.8(9): 626-629
doi: 10.18178/ijesd.2017.8.9.1028

Identify the Odor Emission Sources in an Industrial Park by Integrated Data Mining Approach

Yu-Shiuan Cheng , Ho-Wen Chen , Yen-Hisun Chuang

  • Tunghai University, Taiwan

Abstract

Odorous gases are the most significant pollutionthat resident argue about living in the surroundings nearbyindustrial park. Sustainable ammonia emission is a commonodor sources in industrial areas. Odor often impacts to humansensations and upper airway irritation, principally becausemost volatile chemicals have the potential to activate temporaryburning, stinging, tingling or painful sensations in the eyes.However, in the case of such multi-source odour emissionsespecially industrial park, common chemical analyses or odourconcentration measurement methods are not often applicable.Although several studies have been conducted for preventionand control of odorous gases, no comprehensive research existsabout recent achievements in this area. Expected to TainanScience Park as a research area, using different kind ofhistorical data collection with possible odor emissions fromindustrial park, and apply the Gaussian diffusion model tosimulate contamination of receptor. Following by Gaussiandiffusion model steps, connect with linear programmingmethod and also estimate pollution contribution. Then find outthe sources of pollution so that the future government utilizecases for this petition as valid reference.

Keywords

  • Odor
  • Southern Taiwan Science Park
  • Gaussian diffusion model
  • linear program
1028-F1011

How to Cite

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Yu-Shiuan Cheng, Ho-Wen Chen, and Yen-Hisun Chuang, "Identify the Odor Emission Sources in an Industrial Park by Integrated Data Mining Approach," International Journal of Environmental Science and Development, vol. 8, no. 9, pp. 626-629, 2017. https://doi.org/10.18178/ijesd.2017.8.9.1028

Copyright & License

Copyright © 2017 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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