DOI: 10.1016/j.atmosenv.2014.06.040
Scopus记录号: 2-s2.0-84903307033
论文题名: Fast and reliable source identification of criteria air pollutants in an industrial city
作者: Clarke K ; , Kwon H ; -O ; , Choi S ; -D
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 95 起始页码: 239
结束页码: 248
语种: 英语
英文关键词: Air pollution
; Criteria air pollutants
; Industrial city
; Source identification
; Ulsan
Scopus关键词: Air pollution
; Industry
; Nitrogen oxides
; Particles (particulate matter)
; Statistical mechanics
; Sulfur dioxide
; Automatic monitoring stations
; Criteria air pollutants
; Developed countries
; Industrial city
; Monitoring stations
; Source identification
; Source-receptor relationships
; Ulsan
; Accident prevention
; carbon monoxide
; nitric oxide
; sulfur dioxide
; anthropogenic source
; atmospheric pollution
; concentration (composition)
; data set
; industrial district
; particulate matter
; pollution monitoring
; spatiotemporal analysis
; air pollutant
; article
; city
; concentration (parameters)
; developed country
; environmental monitoring
; industrial area
; industry
; particulate matter
; priority journal
; South Korea
; South Korea
; Ulsan [South Korea]
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: Most of industrial cities in developed countries use automatic station networks for monitoring of Criteria Air Pollutants (CAPs), and the tremendous amount of data acquired are often used to verify that the concentrations are within safety levels and to warn the population in the other case. Furthermore, these data can be used to investigate the source-receptor relationship. In this study, the data were collected from automatic monitoring stations in Ulsan, the most industrialized city in South Korea. The dataset consists of hourly concentrations of five CAPs (SO2, CO, O3, NO2, and PM10) recorded at 13 monitoring stations in the city during a full year (March 2011-February 2012). Different types of sources were identified by studying the temporal (daily and seasonal) trends and spatial distributions of CAPs with wind directions. It was confirmed that SO2 pollution in Ulsan originated mostly from local industrial areas, whereas CO and NO2 were also substantially influenced by mobile sources. The high PM10 levels resulted from both local industries and traffic sources as well as from remote sources. The originality of this work comes from the study of the high episodes of pollutions on a case by case basis as well as on average data. Moreover, rather simple statistical tools developed in this study can be used for a real-time diagnosis of the local pollution in large urban and industrial areas. © 2014 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80870
Appears in Collections: 气候变化事实与影响
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作者单位: School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, 50 UNIST-gil, Ulju-gun, Ulsan, 689-798, South Korea
Recommended Citation:
Clarke K,, Kwon H,-O,et al. Fast and reliable source identification of criteria air pollutants in an industrial city[J]. Atmospheric Environment,2014-01-01,95