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Bayesian-based ensemble source apportionment of PM2.5.
Balachandran S, Chang HH, Pachon JE, Holmes HA, Mulholland JA, Russell AG. Balachandran S, et al. Environ Sci Technol. 2013;47(23):13511-8. doi: 10.1021/es4020647. Epub 2013 Nov 12. Environ Sci Technol. 2013. PMID: 24087907
Development of outcome-based, multipollutant mobile source indicators.
Pachon JE, Balachandran S, Hu Y, Mulholland JA, Darrow LA, Sarnat JA, Tolbert PE, Russell AG. Pachon JE, et al. Among authors: balachandran s. J Air Waste Manag Assoc. 2012 Apr;62(4):431-42. doi: 10.1080/10473289.2012.656218. J Air Waste Manag Assoc. 2012. PMID: 22616285 Free PMC article.
Associations between Source-Specific Fine Particulate Matter and Emergency Department Visits for Respiratory Disease in Four U.S. Cities.
Krall JR, Mulholland JA, Russell AG, Balachandran S, Winquist A, Tolbert PE, Waller LA, Sarnat SE. Krall JR, et al. Among authors: balachandran s. Environ Health Perspect. 2017 Jan;125(1):97-103. doi: 10.1289/EHP271. Epub 2016 Jun 17. Environ Health Perspect. 2017. PMID: 27315241 Free PMC article.
METHODS: We used source apportionment to estimate daily concentrations of primary source-specific PM2.5 for four U.S. cities. For sources with similar chemical compositions between cities, we applied Poisson time-series regression models to estimate associations between so …
METHODS: We used source apportionment to estimate daily concentrations of primary source-specific PM2.5 for four U.S. cities. For sou …
391 results