An assessment on dispersion of carbon monoxide from a cement factory

Gholamreza Goudarzi1, Rajab Rashidi2, Fariba Keishams3,, and Mahsa Moradi4, Shahram Sadeghi5, Fereydoun Masihpour6,, and Mojtaba Shegerd6, Ehsan Abouee Mehrizi7,, and Mohammad Veysi Shikhrobat8, Yusef Omidi Khaniabadi4,9*, (2017) An assessment on dispersion of carbon monoxide from a cement factory. Environmental Health Engineering and Management Journal.

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Abstract

Background: Modeling the dispersion of pollutants from factory stacks addresses the problem of matching emissions of a cement plant with the capacity of the environment to avoid affecting the environment and society. The main objective of this study was to simulate the dispersion of carbon monoxide (CO) from the main stack of a cement plant in Doroud, Iran using SCREEN3 software developed by the US Environmental Protection Agency (US EPA). Methods: Four samplings were conducted to measure the concentration of CO in the three-stack flow of a cement factory. The input parameters were those affecting gas dispersion and included CO rate, meteorological parameters, factors associated with the stack, and various factors related to the receptor. All factors were incorporated in the model, and dispersion was modeled by SCREEN3. Results: Southwesterly winds have been dominant in the past 5 years. According to the results of this study, the highest and the lowest CO levels were estimated by the model in spring and autumn as having maximum amounts of 842.06 and 88.31 μg/m3, respectively, within distances of 526 and 960 m from the cement plant, respectively, at a downwind southwesterly direction from the plant. Conclusion: Although the maximum predicted CO levels in each of the four seasons were lower than the NAAQS criteria, the simulation results can be used as a base for reducing CO emissions to prevent the potentially significant health and environmental impacts imposed by long-term contact to such emissions.

Item Type: Article
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
Depositing User: ehemj ehemj ehemj
Date Deposited: 15 Oct 2017 09:53
Last Modified: 15 Oct 2017 09:53
URI: http://eprints.kmu.ac.ir/id/eprint/26577

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