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Cited 13 time in webofscience Cited 15 time in scopus
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Diagnostic analysis of offensive odorants in a large municipal waste treatment plant in an urban area

Authors
Kim, Ki HyunJo, S. -H.Song, H. -C.Pandey, S. K.Song, H. -N.Oh, J. -M.Sunwoo, Y.Choi, K. C.
Issue Date
Mar-2013
Publisher
SPRINGER
Keywords
Abatement; Malodor prevention law; Odor control; Odor pollution
Citation
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, v.10, no.2, pp.261 - 274
Indexed
SCIE
SCOPUS
Journal Title
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
Volume
10
Number
2
Start Page
261
End Page
274
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/26759
DOI
10.1007/s13762-012-0134-7
ISSN
1735-1472
Abstract
A diagnostic study was conducted to examine the effectiveness of malodor removal from a large-scale municipal waste treatment plant in an urban area. To this end, the odor pollution status was investigated from a total of 16 spots in the treatment facility to cover the dual treatment lines consisting of regenerative thermal oxidation (first stage) and a wet chemical scrubber (second stage). As a simple means to learn more about the odorant removal efficiency of different treatment units, samples collected from ambient spots as well as before and after each treatment unit were analyzed for 22 key offensive odorants (i.e., reduced sulfur compounds, carbonyl compounds, nitrogenous compounds, volatile organic compounds, and fatty acids) along with dilution-to-threshold ratios based on the air dilution sensory test. The removal patterns differed greatly between different odorant groups across different processing units. The effectiveness of this dual treatment system was optimized for such odorants as hydrogen sulfide and ammonia, while it was not the case for others (e.g., some aldehydes and organic acids). The results thus suggest the need for the validation of the efficiency in many types of odor processing units and for establishing new control techniques to cover a list of odorants un-subordinate to preexisting methods.
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