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Diagnostic analysis of offensive odorants in a large municipal waste treatment plant in an urban area
Authors:K-H Kim  S-H Jo  H-C Song  S K Pandey  H-N Song  J-M Oh  Y Sunwoo  K C Choi
Institution:1. Department of Environment and Energy, Sejong University, Seoul, 143-747, Korea
2. Department of Botany, Guru Ghasidas Central University, Bilaspur, 495009, Chattisgarh, India
3. ACEN Co. Ltd., 980-3 Yeong Tong Dong, Suwon, 443-702, Korea
4. Department of Environmental Science and Environmental Engineering, Kyunghee University, Suwon, 446-701, Korea
5. Department of Environmental Engineering, Konkuk University, Seoul, 143-701, Korea
6. Department of Environmental Engineering, Donga University, Busan, 604-714, Korea
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.
Keywords:
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