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Spatial Characteristics Analysis for Coupling Strength among Air Pollutants during a Severe Haze Period in Zhengzhou, China

This paper investigates the multifractal characteristics of six air pollutants using the coupling detrended fluctuation analysis method. The results show that coupling correlations exist among the air pollutants and have multifractal characteristics. The sources of multifractality are identified usi...

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Detalles Bibliográficos
Autores principales: Sun, Linan, Wang, Antao, Wang, Jiayao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9325040/
https://www.ncbi.nlm.nih.gov/pubmed/35886076
http://dx.doi.org/10.3390/ijerph19148224
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author Sun, Linan
Wang, Antao
Wang, Jiayao
author_facet Sun, Linan
Wang, Antao
Wang, Jiayao
author_sort Sun, Linan
collection PubMed
description This paper investigates the multifractal characteristics of six air pollutants using the coupling detrended fluctuation analysis method. The results show that coupling correlations exist among the air pollutants and have multifractal characteristics. The sources of multifractality are identified using the chi square test. The coupling strengths between different pollutants are quantified. In addition, the coupling contribution of a series in the haze system is calculated, and SO(2), as the main pollutant, plays a key role in the pollution system. Moreover, the Kriging interpolation method is used to analyze the spatial characteristic on coupling contribution of SO(2). The spatial analysis of coupling strength for air pollutants will provide an effective approach for pollution control.
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spelling pubmed-93250402022-07-27 Spatial Characteristics Analysis for Coupling Strength among Air Pollutants during a Severe Haze Period in Zhengzhou, China Sun, Linan Wang, Antao Wang, Jiayao Int J Environ Res Public Health Article This paper investigates the multifractal characteristics of six air pollutants using the coupling detrended fluctuation analysis method. The results show that coupling correlations exist among the air pollutants and have multifractal characteristics. The sources of multifractality are identified using the chi square test. The coupling strengths between different pollutants are quantified. In addition, the coupling contribution of a series in the haze system is calculated, and SO(2), as the main pollutant, plays a key role in the pollution system. Moreover, the Kriging interpolation method is used to analyze the spatial characteristic on coupling contribution of SO(2). The spatial analysis of coupling strength for air pollutants will provide an effective approach for pollution control. MDPI 2022-07-06 /pmc/articles/PMC9325040/ /pubmed/35886076 http://dx.doi.org/10.3390/ijerph19148224 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sun, Linan
Wang, Antao
Wang, Jiayao
Spatial Characteristics Analysis for Coupling Strength among Air Pollutants during a Severe Haze Period in Zhengzhou, China
title Spatial Characteristics Analysis for Coupling Strength among Air Pollutants during a Severe Haze Period in Zhengzhou, China
title_full Spatial Characteristics Analysis for Coupling Strength among Air Pollutants during a Severe Haze Period in Zhengzhou, China
title_fullStr Spatial Characteristics Analysis for Coupling Strength among Air Pollutants during a Severe Haze Period in Zhengzhou, China
title_full_unstemmed Spatial Characteristics Analysis for Coupling Strength among Air Pollutants during a Severe Haze Period in Zhengzhou, China
title_short Spatial Characteristics Analysis for Coupling Strength among Air Pollutants during a Severe Haze Period in Zhengzhou, China
title_sort spatial characteristics analysis for coupling strength among air pollutants during a severe haze period in zhengzhou, china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9325040/
https://www.ncbi.nlm.nih.gov/pubmed/35886076
http://dx.doi.org/10.3390/ijerph19148224
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