Implementing constrained multi-time approach with bootstrap analysis in ME-2: An application to PM2.5 data from Florence (Italy)-Reference-Cited by-同舟云学术

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Implementing constrained multi-time approach with bootstrap analysis in ME-2: An application to PM2.5 data from Florence (Italy)

Published:2016-01 Issue: Volume:541 Page:502-511
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Crespi A.,Bernardoni V.,Calzolai G.,Lucarelli F.,Nava S.,Valli G.,Vecchi R.

Funder

Regional Government of Tuscany

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference41 articles.

1. Source apportionment of the ambient PM2.5 across St. Louis using constrained positive matrix factorization;Amato;Atmos. Environ.,2012

2. Quantifying road dust resuspension in urban environment by multilinear engine: a comparison with PMF2;Amato;Atmos. Environ.,2009

3. Sources and variability of inhalable road dust particles in three European cities;Amato;Atmos. Environ.,2011

4. PM10 source apportionment in Milan (Italy) using time-resolved data;Bernardoni;Sci. Total Environ.,2011

5. Ambient air quality — guide for the measurement of elemental carbon (EC) and organic carbon (OC) deposited on filters;CEN/TC 264,2011

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3. Assessing the role of atmospheric dispersion vs. emission strength in the southern Po Valley (Italy) using dispersion-normalised multi-time receptor modelling;Atmospheric Environment;2024-01

4. Insights on the combination of off-line and on-line measurement approaches for source apportionment studies;Science of The Total Environment;2023-11

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