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Measurement, control, and modeling of H2S emissions from a sewage treatment plant.

Authors :
Baawain, M.
Al-Mamun, A.
Omidvarborna, H.
Al-Sulaimi, I. N.
Source :
International Journal of Environmental Science & Technology (IJEST); Jun2019, Vol. 16 Issue 6, p2721-2732, 12p
Publication Year :
2019

Abstract

Hydrogen sulfide is reported as one of the most common odor-producing compounds from sewage treatment plants. The literature review revealed that very little information is available on the emission of H<subscript>2</subscript>S from different units of sewage treatment plants. Besides, the removal efficiency as well as dispersion studies of H<subscript>2</subscript>S should be explored more. Therefore, the purposes of this study were to measure the emissions of H<subscript>2</subscript>S, evaluate the efficiency of odor control unit, and explore the dispersion potential of H<subscript>2</subscript>S from a sewage treatment plant in Muscat, Sultanate of Oman. Site survey analysis revealed four sources (tanker discharge area, grit/sand and fog removal channels, pre-aeration basin, and screen building) of H<subscript>2</subscript>S in the plant premises. Additionally, measurement analysis showed that the efficiency of odor control unit, which treated the emissions from all sources, except the tanker discharge facility, was 90.2%. The Gaussian plume dispersion modeling studies demonstrated that the allowable concentration of dispersed H<subscript>2</subscript>S (1 ppm) was observed > 30 m from the identified sources. Although the combined outlet of the odor control unit was greater than 1 ppm, the plant is complying with the current environmental specifications at the boundaries (≤ 1 ppm) set by the environmental authorities. Hence, a set of recommendations is suggested to improve the efficiency of the system to resolve the odor emission from the plant. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17351472
Volume :
16
Issue :
6
Database :
Complementary Index
Journal :
International Journal of Environmental Science & Technology (IJEST)
Publication Type :
Academic Journal
Accession number :
136441329
Full Text :
https://doi.org/10.1007/s13762-018-1997-z