An iterative method for evaluating the inter-comparability between chemical mass balance and multivariate receptor models-Reference-Cited by-同舟云学术

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An iterative method for evaluating the inter-comparability between chemical mass balance and multivariate receptor models

Published:2016-07 Issue: Volume:155 Page:97-108
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Argyropoulos George,Samara Constantini,Diapouli Evangelia,Eleftheriadis Kostas

Funder

European Community (LIFE+Environment Policy and Governance)

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference41 articles.

1. Synergistic use of several receptor models (CMB, APCS and PMF) to interpret air quality data;Andriani;Environmetrics,2011

2. Gas-phase and aerosol chemistry interactions in South Europe and the Mediterranean region;Astitha;Environ. Fluid Mech.,2009

3. Concentrations and source apportionment of PM10 and associated elemental and ionic species in a lignite-burning power generation area of southern Greece;Argyropoulos;Environ. Sci. Pollut. Res.,2013

4. Concentrations and source apportionment of PM10 and associated major and trace elements in the Rhodes Island, Greece;Argyropoulos;Sci. Total Environ.,2012

5. Development and application of a robotic chemical mass model for source apportionment of atmospheric particulate matter;Argyropoulos;Environ. Model. Softw.,2011

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1. Temporal variations and chemical characteristics of marine PM2.5 at Dongsha Islands, South China Sea: Three-year measurement;Environmental Pollution;2024-09

2. PM2.5 source apportionment for the port city of Thessaloniki, Greece;Science of The Total Environment;2019-02

3. Source apportionment of PM10 and PM2.5 in major urban Greek agglomerations using a hybrid source-receptor modeling process;Science of The Total Environment;2017-12

4. Evolution of air pollution source contributions over one decade, derived by PM10 and PM2.5 source apportionment in two metropolitan urban areas in Greece;Atmospheric Environment;2017-09

5. Autoregressive metric-based trimmed fuzzy clustering with an application to PM10 time series;Chemometrics and Intelligent Laboratory Systems;2017-02

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