Spatial imputation for air pollutants data sets via low rank matrix completion algorithm.

Air Pollutants / analysis Air Pollution / analysis Algorithms Environmental Monitoring Regression Analysis
Air pollutants Low rank matrix completion Missing data Spatial imputation

Journal

Environment international
ISSN: 1873-6750
Titre abrégé: Environ Int
Pays: Netherlands
ID NLM: 7807270

Informations de publication

Date de publication:
06 2020
Historique:
received: 09 11 2019
revised: 02 03 2020
accepted: 31 03 2020
pubmed: 15 4 2020
medline: 21 11 2020
entrez: 15 4 2020
Statut: ppublish

Résumé

Incomplete observation of hourly air-pollutants concentration data is a common issue existing in urban air quality monitoring networks. This research proposes a spatial interpolation method to impute missing values presented in air pollutants data sets based on low rank matrix completion (LRMC). It considers air pollutants data of high correlation and consistency in its spatial distribution. We evaluate the performance of the proposed method when imputing various air pollutants concentration time series (NO

Identifiants

DOI: 10.1016/j.envint.2020.105713 PMID: 32289585
pubmed: 32289585
pii: S0160-4120(19)34170-4
doi: 10.1016/j.envint.2020.105713
pii:
doi:

Substances chimiques

Air Pollutants 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

105713

Informations de copyright

Crown Copyright © 2020. Published by Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Xiaofeng Liu (X)

College of IoT Engineering, Hohai University, Changzhou 213022, China; School of Information and Engineering, Changzhou University, Changzhou 213164, China; Jiangsu Key laboratory of Special Robot Technology, Changzhou 213022, China. Electronic address: xfliu@hhu.edu.cn.

Xue Wang (X)

College of IoT Engineering, Hohai University, Changzhou 213022, China; School of Information and Engineering, Changzhou University, Changzhou 213164, China. Electronic address: wangxue@cczu.edu.cn.

Lang Zou (L)

College of IoT Engineering, Hohai University, Changzhou 213022, China; Huawei Nanjing Research Institute, China.

Jing Xia (J)

Changzhou Environmental Monitoring Center, Changzhou 213022, China.

Wei Pang (W)

School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UK.

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Classifications MeSH

questionsmedicales.fr › Actions chimiques et utilisations › Actions toxiques › Polluants environnementaux › Polluants atmosphériques › Spatial imputation for air pollutants data...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Pollution de l'environnement › Pollution de l'air › Spatial imputation for air pollutants data...
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Algorithmes › Spatial imputation for air pollutants data...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Pratiques en santé publique › Surveillance de l'environnement › Spatial imputation for air pollutants data...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Analyse de régression › Spatial imputation for air pollutants data...