An on-line analysis of reduced sulfur gases in the ambient air surrounding a large industrial complex |
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| Institution: | 1. Department of Earth and Environmental Sciences, Sejong University, Seoul, Repiblic of Korea;2. Department of Environmental Engineering, Anyang University, Anyang, Republic of Korea;3. Meteorological Research Institute, Korea Meteorological Administration, Seoul, Republic of Korea;1. Department of Structural and Geotechnical Engineering, Sapienza University of Rome, Italy;2. Department of Innovation Engineering, University of Salento, Lecce, Italy;1. Sektion Anästhesiologische Pathophysiologie und Verfahrensentwicklung, Klinik für Anästhesiologie, Universitätsklinikum, Helmholtzstrasse 8-1, 89081 Ulm, Germany;2. Département de Réanimation Médicale et de Médecine Hyperbare, Centre Hospitalier Universitaire, 4 rue Larrey, Cedex 9, 49933 Angers, France;3. Institut für Unfallchirurgische Forschung und Biomechanik, Universitätsklinikum, Helmholtzstrasse 14, 89081 Ulm, Germany;4. Institut für Pathologie, Universitätsklinikum, Albert-Einstein-Allee 20-23, 89081 Ulm, Germany;5. Department of Anesthesiology, University of Texas Medical Branch, 601 Harborside Drive, Galveston, TX 77555, USA;6. University of Exeter Medical School, St Luke’s Campus, Magdalen Road, Exeter EX1 2LU, UK;7. Department of Biosciences, College of Life and Environmental Sciences, University of Exeter, Stocker Road, Exeter EX4 4QD, UK;8. Department of Biology, Lakehead University, 955 Oliver Road, Thunder Bay, ON P7B 5E1, Canada;1. Materials Science and Nanotechnology Program, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand;2. Department of Physics, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand;3. National Metal and Materials Technology Center (MTEC), Thailand Science Park, Pathumthani 12120, Thailand;4. School of Physics, Institute of Science, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand;1. Univ. Lille Nord de France, F-59500 Lille, France;2. Mines Douai, CE, F-59508 Douai, France;3. PC2A – CNRS – Université Lille 1, F-59655 Villeneuve d''Ascq, France;1. Institute of Environmental Protection Engineering, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370 Wroclaw, Poland;2. Faculty of Microsystem Electronics and Photonics, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370 Wroclaw, Poland;1. Department of Orthopaedic Surgery, Chonbuk National University Medical School, Research Institute of Clinical Medicine of Chonbuk National University Hospital-Biomedical Research Institute of Chonbuk National University Hospital, 634-18, Keumam-dong, Deokjin-gu, Jeonju 561-712, South Korea;2. Department of Orthopaedic Surgery, Jeju National University Medical School, Jeju National University Hospital, 102, Jeju daehakro, Jeju 690-756, South Korea;3. Department of Biochemistry, Chonbuk National University Medical School, Research Institute of Endocrinology of Chonbuk National University Hospital-Biomedical Research Institute of Chonbuk National University Hospital, 634-18, Keumam-dong, Deokjin-gu, Jeonju 561-712, South Korea;4. Department of Pathology, Chonbuk National University Medical School, Research Institute of Endocrinology of Chonbuk National University Hospital-Biomedical Research Institute of Chonbuk National University Hospital, 634-18, Keumam-dong, Deokjin-gu, Jeonju 561-712, South Korea |
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| Abstract: | In 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 295 ppt, while those of the others were seen at 7 (DMS), 1 (CH3SH), and 0.4 ppt (DMDS). When these RSC data were compared across two seasons and on a 24 h 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. |
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