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NSYSU

1. Wu, Pei-Yu. Physicochemical Fingerprints of Particulate Matter Emitted from Stacks in a Steel Plant.

Degree: Master, Environmental Engineering, 2014, NSYSU

Kaohsiung Lin-hai Industrial Park is an industrial complex and one of the largest industrial areas in Taiwan. Iron works is one of the important stationary sources in Kaohsiung Lin-hai Industrial Park, including an integrated iron and steel plant and several electric arc furnace plants, in which main air pollutants emitted are particulate matter. Currently the stack emission data is rather rare for the steel plants in Taiwan. Thus, this study aims to collect particulate matter emitted from the stacks of steel plants and further analyze its physical and chemical properties, in order to establish the elemental indicator(s) of different manufacturing processes. The results could provide valuable stack emission data to the environmental related governments and research institutes, for establishing air pollution control strategies and identifying potential emission sources. In this study, we initially reviewed literature related to particulate matter emitted from the stacks of steel plants, and then conducted stack sampling and chemical analysis of particulate matter emitted from the stacks in Kaohsiung Lin-hai Industrial Park. This study applied a method for sampling and analysis of particulate matter from a stack (NIEA A101.73C) issued by The National Institute of Environmental Analysis for stacks sampling, and further correlated the characteristics of particulate matter with emission sources in the steel plant industrial park. The air pollution control devices set up in the front of the stacks in the iron and steel manufacturing processes include fabric filter, electrostatic precipitator, and flue gas denitrification (FGDN) device, which mostly operated with the stack emission standard. The concentration of particulate matter emitted from the manufacturing processes ranged between 2.0-62.9 mg/Nm3, which were lower than the stack emission standards and previously detected data. Results obtained from water-soluble ionic species of particulate matter in the flue gases emitted from stacks showed that the most abundant anion was SO42- and followed by Cl- and F-, while the most abundant cation was Ca2+ and followed by Na+ and K+. The molar ratio of Cl- to Na+ (Cl/Na) ranged between 0.43 and 2.43, while the molar ratio of anion to cation (A/C) ranged between 0.38 and 1.18. Elemental analysis of metals showed that Al was the major metallic element. In addition, the averaged OC concentration was higher than EC, and the OC/EC ratio ranged between 0.68 and 4.58. Among all chemical species, SO42- was the major species of particulate matter in the steel manufacturing processes. It probably due to raw materials containing sulfur content, which could be oxidized to form sulfur dioxide and further converted to sulfate. Moreover, desulfurizer was generally added to remove impurities in the steelmaking processes, resulting in high concentration of SO42-. Using the recycling fines containing chloride and potassium ions caused higher concentrations of K+ and Cl- in the sintering process while compared to other manufacturing processes.… Advisors/Committee Members: Rui-Ren Chen (chair), Chung-Shin Yuan (committee member), Wei-Hsiang Chen (chair).

Subjects/Keywords: chemical analysis; stationary pollution source; particulate matter; Steel industry; physicochemical fingerprint; source identification

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APA (6th Edition):

Wu, P. (2014). Physicochemical Fingerprints of Particulate Matter Emitted from Stacks in a Steel Plant. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0724114-130243

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wu, Pei-Yu. “Physicochemical Fingerprints of Particulate Matter Emitted from Stacks in a Steel Plant.” 2014. Thesis, NSYSU. Accessed December 05, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0724114-130243.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wu, Pei-Yu. “Physicochemical Fingerprints of Particulate Matter Emitted from Stacks in a Steel Plant.” 2014. Web. 05 Dec 2019.

Vancouver:

Wu P. Physicochemical Fingerprints of Particulate Matter Emitted from Stacks in a Steel Plant. [Internet] [Thesis]. NSYSU; 2014. [cited 2019 Dec 05]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0724114-130243.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wu P. Physicochemical Fingerprints of Particulate Matter Emitted from Stacks in a Steel Plant. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0724114-130243

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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