PMID- 24531313
OWN - NLM
STAT- MEDLINE
DCOM- 20140730
LR  - 20140227
IS  - 2050-7895 (Electronic)
IS  - 2050-7887 (Linking)
VI  - 16
IP  - 3
DP  - 2014 Mar
TI  - Cluster analysis of passive air sampling data based on the relative composition 
      of persistent organic pollutants.
PG  - 453-63
LID - 10.1039/c3em00605k [doi]
AB  - The development of passive air samplers has allowed the measurement of 
      time-integrated concentrations of persistent organic pollutants (POPs) within 
      spatial networks on a variety of scales. Cluster analysis of POP composition may 
      enhance the interpretation of such spatial data. Several methodological aspects 
      of the application of cluster analysis are discussed, including the influence of 
      a dominant pollutant, the role of PAS duplication, and comparison of regional 
      studies. Relying on data from six regional studies in North and South America, 
      Africa, and Asia, we illustrate here how cluster analysis can be used to extract 
      information and gain insights into POP sources and atmospheric transport 
      contributions. Cluster analysis allows classification of PAS samples into those 
      with significant local source contributions and those that represent regional 
      fingerprints. Local emissions, atmospheric transport, and seasonal cycles are 
      identified as being among the major factors determining the variation in POP 
      composition at many sites. By complementing cluster analysis with meteorological 
      data such as air mass back-trajectories, terrain, as well as geographical and 
      socio-economic aspects, a comprehensive picture of the atmospheric contamination 
      of a region by POPs emerges.
FAU - Liu, Xiande
AU  - Liu X
AD  - State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese 
      Research Academy of Environmental Sciences, Beijing 100012, China. 
      liuxdlxd@hotmail.com.
FAU - Wania, Frank
AU  - Wania F
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20140217
PL  - England
TA  - Environ Sci Process Impacts
JT  - Environmental science. Processes & impacts
JID - 101601576
RN  - 0 (Air Pollutants)
SB  - IM
MH  - Air Pollutants/*analysis
MH  - Air Pollution/*statistics & numerical data
MH  - Atmosphere/*chemistry
MH  - Cluster Analysis
MH  - *Environmental Monitoring
EDAT- 2014/02/18 06:00
MHDA- 2014/07/31 06:00
CRDT- 2014/02/18 06:00
PHST- 2014/02/18 06:00 [entrez]
PHST- 2014/02/18 06:00 [pubmed]
PHST- 2014/07/31 06:00 [medline]
AID - 10.1039/c3em00605k [doi]
PST - ppublish
SO  - Environ Sci Process Impacts. 2014 Mar;16(3):453-63. doi: 10.1039/c3em00605k. Epub 
      2014 Feb 17.