title: Using pollution roses to assess sulfur dioxide impacts in a township downwind of a petrochemical complex.
abstract: This study used pollution roses to assess sulfur dioxide (SO) pollution in a township downwind of a large petrochemical complex based on data collected from a single air quality monitoring station. The pollution roses summarized hourly SO2 concentrations at the Taishi air quality monitoring station, located approximately 7.8-13.0 km south of the No. 6 Naphtha Cracking Complex in Taiwan, according to 36 sectors of wind direction during the preoperational period (1995-1999) and two postoperational periods (2000-2004 and 2005-2009). The 99th percentile of hourly SO2 concentrations 350 degrees downwind from the complex increased from 28.9 ppb in the preoperational period to 86.2-324.2 ppb in the two postoperational periods. Downwind SO2 concentrations were particularly high during 2005-2009 at wind speeds of 6-8 m/sec. Hourly SO2 levels exceeded the US. Environmental Protection Agency (EPA) health-based standard of 75 ppb only in the postoperational periods, with 65 exceedances from 0-10 degrees and 330-350 degrees downwind directions during 2001-2009. This study concluded that pollution roses based on a single monitoring station can be used to investigate source contributions to air pollution surrounding industrial complexes, and that it is useful to combine such directional methods with analyses of how pollution varies between different wind speeds, times of day, and periods of industrial development.
authors.affiliation: Institute of Occupational Medicine and Industrial Hygiene, College of Public Health, National Taiwan University, Taiwan, Republic of China.
authors.forename: Ruei-Hao
authors.initials: RH
authors.lastname: Shie
authors.forename: Tzu-Hsuen
authors.initials: TH
authors.lastname: Yuan
authors.forename: Chang-Chuan
authors.initials: CC
authors.lastname: Chan
mesh_terms: D000395:Air Pollutants, Occupational / Q000032:analysis*; D000397:Air Pollution / Q000032:analysis*; D002617:Chemical Industry; D004784:Environmental Monitoring / Q000379:methods* / Q000706:statistics & numerical data*; D015233:Models, Statistical; D010578:Petroleum; D012621:Seasons; D013458:Sulfur Dioxide / Q000032:analysis*; D013624:Taiwan; D014887:Weather; D014919:Wind
chemical_list: D000395:Air Pollutants, Occupational; D010578:Petroleum; D013458:Sulfur Dioxide