About: Advanced Factor Analysis on Pittsburgh Particle Size-Distribution Data Special Issue of Aerosol Science and Technology on Findings from the Fine Particulate Matter Supersites Program

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journal article; published in Aerosol Science and Technology in 2004

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) article scientifique publié en 2004 (fr) наукова стаття, опублікована в грудні 2004 (uk) im Dezember 2004 veröffentlichter wissenschaftlicher Artikel (de) journal article; published in Aerosol Science and Technology in 2004 (en) journal article; published in Aerosol Science and Technology in 2004 (en-ca) journal article; published in Aerosol Science and Technology in 2004 (en-gb)
publication date	wds:Q58095366-911BCA9E-F276-4186-9B64-04D45A2DB96D
publication date	2004-12-01 00:00:00Z (xsd:dateTime)
author name string	wds:Q58095366-4BCCDAE0-ECC3-402C-9EF2-B6261736F48E wds:Q58095366-52C8247D-2260-43AF-B8BA-484E5E5E9FD2 wds:Q58095366-84A42A1C-FA5D-427C-979A-F1487684C9EC
author name string	Eugene Kim Liming Zhou Charles O. Stanier
rdfs:label	Advanced Factor Analysis on Pittsburgh Particle Size-Distribution Data Special Issue of Aerosol Science and Technology on Findings from the Fine Particulate Matter Supersites Program (en) Advanced Factor Analysis on Pittsburgh Particle Size-Distribution Data Special Issue of Aerosol Science and Technology on Findings from the Fine Particulate Matter Supersites Program (nl) Advanced Factor Analysis on Pittsburgh Particle Size-Distribution Data Special Issue of Aerosol Science and Technology on Findings from the Fine Particulate Matter Supersites Program (en-ca) Advanced Factor Analysis on Pittsburgh Particle Size-Distribution Data Special Issue of Aerosol Science and Technology on Findings from the Fine Particulate Matter Supersites Program (en-gb)
skos:prefLabel	Advanced Factor Analysis on Pittsburgh Particle Size-Distribution Data Special Issue of Aerosol Science and Technology on Findings from the Fine Particulate Matter Supersites Program (en) Advanced Factor Analysis on Pittsburgh Particle Size-Distribution Data Special Issue of Aerosol Science and Technology on Findings from the Fine Particulate Matter Supersites Program (nl) Advanced Factor Analysis on Pittsburgh Particle Size-Distribution Data Special Issue of Aerosol Science and Technology on Findings from the Fine Particulate Matter Supersites Program (en-ca) Advanced Factor Analysis on Pittsburgh Particle Size-Distribution Data Special Issue of Aerosol Science and Technology on Findings from the Fine Particulate Matter Supersites Program (en-gb)
name	Advanced Factor Analysis on Pittsburgh Particle Size-Distribution Data Special Issue of Aerosol Science and Technology on Findings from the Fine Particulate Matter Supersites Program (en) Advanced Factor Analysis on Pittsburgh Particle Size-Distribution Data Special Issue of Aerosol Science and Technology on Findings from the Fine Particulate Matter Supersites Program (nl) Advanced Factor Analysis on Pittsburgh Particle Size-Distribution Data Special Issue of Aerosol Science and Technology on Findings from the Fine Particulate Matter Supersites Program (en-ca) Advanced Factor Analysis on Pittsburgh Particle Size-Distribution Data Special Issue of Aerosol Science and Technology on Findings from the Fine Particulate Matter Supersites Program (en-gb)
author	wds:Q58095366-5AF52E62-AB38-4AFD-9614-B95EEF64E76E wds:Q58095366-B3FCD37B-608C-4D20-B800-59F46EB80269
author	Philip K. Hopke Spyros N. Pandis
title	wds:Q58095366-D43A090E-779B-463D-A074-202C3F6C33C1
title	Advanced Factor Analysis on Pittsburgh Particle Size-Distribution Data Special Issue ofAerosol Science and Technologyon Findings from the Fine Particulate Matter Supersites Program (en)
page(s)	wds:Q58095366-59129A29-7FD1-4248-9FE3-14AEBD012F55
page(s)	118-132
instance of	wds:Q58095366-630E852D-A4C5-4F3E-8A53-AF47EF70904C
instance of	scholarly article
main subject	wds:Q58095366-6FECC01A-2D6E-434B-AE35-3B888CA8DF5E wds:Q58095366-D4B61AD7-B720-4BB4-BACA-37D1AF1A14CC
main subject	aerosol science and technology
published in	wds:Q58095366-9405D482-3431-4B27-8C8B-66C2AB99FBF4
published in	Aerosol Science and Technology
issue	wds:Q58095366-096A4A10-D9CF-4C81-BEE2-7EF73BEDC82A wds:Q58095366-E7767401-D39C-4668-B270-B322F38ECAFB
volume	wds:Q58095366-880A9461-9B73-4586-B719-FA765F72AF92
issue	1 sup1
volume	38
DOI	wds:Q58095366-DC624C07-B585-4D44-BB97-EFA7BD446DAA
DOI	http://dx.doi.org/10.1080/02786820390229589
DOI	10.1080/02786820390229589
official website	wds:Q58095366-CA899A65-506A-432B-818C-05289795C2C7
official website	https://www.tandfonline.com/doi/abs/10.1080/02786820390229589
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q58095366
is cites work of	Airborne Particulate Matter and Human Health: A Review PM source apportionment and health effects: 1. Intercomparison of source apportionment results. A Bayesian Multivariate Receptor Model for Estimating Source Contributions to Particulate Matter Pollution using National Databases Source Investigation for Ambient PM2.5in Indianapolis, IN Source identification of airborne PM2.5at the St. Louis-Midwest Supersite Chapter 1 Theory and Application of Atmospheric Source Apportionment Source apportionment of airborne nanoparticles in a Middle Eastern city using positive matrix factorization Measurement of atmospheric pollutants associated with oil and natural gas exploration and production activity in Pennsylvania's Allegheny National Forest Source appointment of fine particle number and volume concentration during severe haze pollution in Beijing in January 2013. Mining airborne particulate size distribution data by positive matrix factorization Source apportionment of ultrafine and fine particle concentrations in Brisbane, Australia Investigation of the relationship between chemical composition and size distribution of airborne particles by partial least squares and positive matrix factorization Source apportionment of PM10 by positive matrix factorization in urban area of Mumbai, India Overview of surface measurements and spatial characterization of submicrometer particulate matter during the DISCOVER-AQ 2013 campaign in Houston, TX. Investigation of source locations and contributions using an integrated trajectory-source apportionment method with multiple time resolution data
is cites work of	wds:Q34300777-99962D53-C9FB-48A8-9B18-46E8A7E317BF wds:Q57184680-FB44E843-49A1-4584-8107-463725C9E87F wds:Q58133902-875CED57-1846-49E6-AD36-E216BF486073 wds:Q39650234-6B940C0E-4C2B-4916-95FC-497233F37D6F wds:Q58390609-454E01BF-F9E8-434A-8CA0-E0404E93DAC1 wds:Q57185077-844AAA1E-6635-423E-9B7D-9C8C00832A37 wds:Q57185152-8929B47C-1739-4037-BE06-806C160D0F60 wds:Q40211812-6F1C83EA-ADDF-4E53-80BA-0893871E165E wds:Q39118748-84A2099A-0D7B-4221-AAD4-A9F03A1B25EA wds:Q51330350-D6724C87-FDC7-49FC-9DEE-7B4265541847 wds:Q57185080-E924E6C4-E4B5-4A95-8F97-E3530A4FB905 wds:Q39031734-0B06607C-E294-4482-A787-1B339EEDD91F wds:Q28729845-F9E6F52A-1767-4D28-A580-C88AB31332AC wds:Q38917660-52A9CDD0-EB21-401B-8184-6E83D4455D63 wds:Q58075822-13A95027-A235-48C1-AAB5-27A9C84F1907

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