English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/61524
Share/Impact:
Statistics
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:
Title

A comparison of positive matrix factorization and the weighted multivariate curve resolution method. Application to environmental data

AuthorsStanimirova, Ivana; Tauler, Romà; Walczak, Beata
Issue Date2011
PublisherAmerican Chemical Society
CitationEnvironmental Science and Technology 45 (23): 10102-10110 (2011)
AbstractIn recent years, positive matrix factorization, PMF, has gained popularity in environmental sciences and it has been recommended by the U.S. Environmental Protection Agency as a general modeling tool in air quality control. Among the attractive features contributing to its popularity is that measurement uncertainty information can be incorporated into the PMF model, which allows the handling of missing measurements and data below the reporting limits. In addition, the solutions obtained from PMF obey constraints such as the non-negativity of the source compositions and source contributions of samples that make their interpretation physically meaningful. A less popular multivariate curve resolution method based on a weighted alternating least-squares algorithm, MCR-WALS, also incorporates the measurement error information and non-negativity constraints, which makes this method a potential tool when obtaining composition and contribution profiles of environmental data. Both methods use the same loss function, but they differ in the way the profiles are obtained. The goal of this study was to compare the performance of PMF with the performance of MCR-WALS for data sets simulated with different correlation and error structures. The results showed that the profiles extracted by both methods are virtually the same for data with different error structures. © 2011 American Chemical Society.
URIhttp://hdl.handle.net/10261/61524
DOI10.1021/es201024m
Identifiersdoi: 10.1021/es201024m
issn: 0013-936X
e-issn: 1520-5851
Appears in Collections:(IDAEA) Artículos
Files in This Item:
There are no files associated with this item.
Show full item record
 

Related articles:


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.