Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
An on-line analysis of reduced sulfur gases in the ambient air surrounding a large industrial complex
AbstractIn this study, the concentrations of reduced sulfur compounds (RSC: H2S, CH3SH, DMS, and DMDS) were continuously measured from an odor monitoring station over a 4-month period (August–November 2005) using an on-line GC system. The hourly measurement data of RSC, collected along with some major aromatic VOCs (benzene, toluene, xylene, etc.), approached the sum of 1500; the mean for all hourly H2S was computed to be 295ppt, while those of the others were seen at 7 (DMS), 1 (CH3SH), and 0.4ppt (DMDS). When these RSC data were compared across two seasons and on a 24h scale basis, the values for either the summer or nighttime periods were generally high relative to their counterparts in the fall and daytime. Analysis of these RSC data generally suggests that most RSCs occur at some ppt concentration ranges and that their values frequently fall below detection limits (DL) values (except for H2S). If the total number of effective data sets (i.e., above DL values) are compared to each other, the results tend to differ significantly between H2S and the others: the proportion of effective number was as high as 75% for H2S, while the others were very low (6% of DMS and even less than that for the others). The distributions of RSC were hence clearly distinguished from those of VOCs in that the determination of the latter was scarcely limited by the instrumental detectability. According to the present study, the H2S data exhibit strong potential as the malodor tracers, while those of the other RSCs are unlikely due to the limited detectability. The overall results of this study hence suggest that several factors which include the selection of target compounds, the location of the monitoring points, and the scale (or number) of total monitoring points should be considered simultaneously to effectively track down the odor occurrence patterns in areas near strong source processes.
An on-line analysis of reduced sulfur gases in the ambient air surrounding a large industrial complex
AbstractIn this study, the concentrations of reduced sulfur compounds (RSC: H2S, CH3SH, DMS, and DMDS) were continuously measured from an odor monitoring station over a 4-month period (August–November 2005) using an on-line GC system. The hourly measurement data of RSC, collected along with some major aromatic VOCs (benzene, toluene, xylene, etc.), approached the sum of 1500; the mean for all hourly H2S was computed to be 295ppt, while those of the others were seen at 7 (DMS), 1 (CH3SH), and 0.4ppt (DMDS). When these RSC data were compared across two seasons and on a 24h scale basis, the values for either the summer or nighttime periods were generally high relative to their counterparts in the fall and daytime. Analysis of these RSC data generally suggests that most RSCs occur at some ppt concentration ranges and that their values frequently fall below detection limits (DL) values (except for H2S). If the total number of effective data sets (i.e., above DL values) are compared to each other, the results tend to differ significantly between H2S and the others: the proportion of effective number was as high as 75% for H2S, while the others were very low (6% of DMS and even less than that for the others). The distributions of RSC were hence clearly distinguished from those of VOCs in that the determination of the latter was scarcely limited by the instrumental detectability. According to the present study, the H2S data exhibit strong potential as the malodor tracers, while those of the other RSCs are unlikely due to the limited detectability. The overall results of this study hence suggest that several factors which include the selection of target compounds, the location of the monitoring points, and the scale (or number) of total monitoring points should be considered simultaneously to effectively track down the odor occurrence patterns in areas near strong source processes.
An on-line analysis of reduced sulfur gases in the ambient air surrounding a large industrial complex
Kim, Ki-Hyun (Autor:in) / Jeon, Eui-Chan (Autor:in) / Koo, Youn-Seo (Autor:in) / Im, Moon-Soon (Autor:in) / Youn, Yong-Hoon (Autor:in)
Atmospheric Environment ; 41 ; 3829-3840
05.01.2007
12 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch