The multifractal evaluation of PM2.5-O3 coordinated control capability in China

Under combined air pollution conditions, the coordinated control of PM2.5 and O3 has significant implications for environmental management. To better understand the coordinated control capability of different metropolises, a prime consideration is how to develop a scientific and objective index for...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Bo Wu, Chunqiong Liu, Jiao Zhang, Juan Du, Kai Shi
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
Materias:
O3
Acceso en línea:https://doaj.org/article/099cf52b31e3468abc157f9302f432b4
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:099cf52b31e3468abc157f9302f432b4
record_format dspace
spelling oai:doaj.org-article:099cf52b31e3468abc157f9302f432b42021-12-01T04:54:54ZThe multifractal evaluation of PM2.5-O3 coordinated control capability in China1470-160X10.1016/j.ecolind.2021.107877https://doaj.org/article/099cf52b31e3468abc157f9302f432b42021-10-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21005422https://doaj.org/toc/1470-160XUnder combined air pollution conditions, the coordinated control of PM2.5 and O3 has significant implications for environmental management. To better understand the coordinated control capability of different metropolises, a prime consideration is how to develop a scientific and objective index for quantifying it. In this paper, based on the multifractal detrended cross-correlation analysis (MF-DCCA) method, a novel dynamical index η is developed to quantitatively determine the capability of metropolis to control PM2.5 and O3 pollution cooperatively. Furthermore, combing with the sliding window method, the high temporal scale resolution of η values of four metropolises (Beijing, Shanghai, Guangzhou, and Chengdu) in China is conducted in order to determine the temporal evolution of η. Then, the monthly variation of η values in the four metropolises is investigated. The U-shaped curves in the monthly mean η values indicate that PM2.5-O3 coordinated control capability of the four metropolises is best in summer. The further discussions about the relations between index η and meteorological conditions have been made. Next, long-term trends of η series of four metropolises are studied by Mann–Kendall statistical test. Result shows that the trends of the η series of four metropolises are similar from 2015 to 2017. After 2017, the η series of Beijing, Shanghai and Chengdu show an increasing trend, while that of Guangzhou show a decreasing trend. This suggests that PM2.5-O3 coordinated control capability of Guangzhou is gradually strengthened after 2017. This may be caused by the combined effect of targeted strategies and special climatic conditions in Guangzhou. The η index could directly quantify the two-pollutant coordinated control capability of different metropolises based on field observation, rather than rely on any subjective factor. It can provide guidance for policy-making of pollution emission reduction, so as to control the combined air pollution.Bo WuChunqiong LiuJiao ZhangJuan DuKai ShiElsevierarticlePM2.5O3MF-DCCACoordinated control capabilityDynamical indexEcologyQH540-549.5ENEcological Indicators, Vol 129, Iss , Pp 107877- (2021)
institution DOAJ
collection DOAJ
language EN
topic PM2.5
O3
MF-DCCA
Coordinated control capability
Dynamical index
Ecology
QH540-549.5
spellingShingle PM2.5
O3
MF-DCCA
Coordinated control capability
Dynamical index
Ecology
QH540-549.5
Bo Wu
Chunqiong Liu
Jiao Zhang
Juan Du
Kai Shi
The multifractal evaluation of PM2.5-O3 coordinated control capability in China
description Under combined air pollution conditions, the coordinated control of PM2.5 and O3 has significant implications for environmental management. To better understand the coordinated control capability of different metropolises, a prime consideration is how to develop a scientific and objective index for quantifying it. In this paper, based on the multifractal detrended cross-correlation analysis (MF-DCCA) method, a novel dynamical index η is developed to quantitatively determine the capability of metropolis to control PM2.5 and O3 pollution cooperatively. Furthermore, combing with the sliding window method, the high temporal scale resolution of η values of four metropolises (Beijing, Shanghai, Guangzhou, and Chengdu) in China is conducted in order to determine the temporal evolution of η. Then, the monthly variation of η values in the four metropolises is investigated. The U-shaped curves in the monthly mean η values indicate that PM2.5-O3 coordinated control capability of the four metropolises is best in summer. The further discussions about the relations between index η and meteorological conditions have been made. Next, long-term trends of η series of four metropolises are studied by Mann–Kendall statistical test. Result shows that the trends of the η series of four metropolises are similar from 2015 to 2017. After 2017, the η series of Beijing, Shanghai and Chengdu show an increasing trend, while that of Guangzhou show a decreasing trend. This suggests that PM2.5-O3 coordinated control capability of Guangzhou is gradually strengthened after 2017. This may be caused by the combined effect of targeted strategies and special climatic conditions in Guangzhou. The η index could directly quantify the two-pollutant coordinated control capability of different metropolises based on field observation, rather than rely on any subjective factor. It can provide guidance for policy-making of pollution emission reduction, so as to control the combined air pollution.
format article
author Bo Wu
Chunqiong Liu
Jiao Zhang
Juan Du
Kai Shi
author_facet Bo Wu
Chunqiong Liu
Jiao Zhang
Juan Du
Kai Shi
author_sort Bo Wu
title The multifractal evaluation of PM2.5-O3 coordinated control capability in China
title_short The multifractal evaluation of PM2.5-O3 coordinated control capability in China
title_full The multifractal evaluation of PM2.5-O3 coordinated control capability in China
title_fullStr The multifractal evaluation of PM2.5-O3 coordinated control capability in China
title_full_unstemmed The multifractal evaluation of PM2.5-O3 coordinated control capability in China
title_sort multifractal evaluation of pm2.5-o3 coordinated control capability in china
publisher Elsevier
publishDate 2021
url https://doaj.org/article/099cf52b31e3468abc157f9302f432b4
work_keys_str_mv AT bowu themultifractalevaluationofpm25o3coordinatedcontrolcapabilityinchina
AT chunqiongliu themultifractalevaluationofpm25o3coordinatedcontrolcapabilityinchina
AT jiaozhang themultifractalevaluationofpm25o3coordinatedcontrolcapabilityinchina
AT juandu themultifractalevaluationofpm25o3coordinatedcontrolcapabilityinchina
AT kaishi themultifractalevaluationofpm25o3coordinatedcontrolcapabilityinchina
AT bowu multifractalevaluationofpm25o3coordinatedcontrolcapabilityinchina
AT chunqiongliu multifractalevaluationofpm25o3coordinatedcontrolcapabilityinchina
AT jiaozhang multifractalevaluationofpm25o3coordinatedcontrolcapabilityinchina
AT juandu multifractalevaluationofpm25o3coordinatedcontrolcapabilityinchina
AT kaishi multifractalevaluationofpm25o3coordinatedcontrolcapabilityinchina
_version_ 1718405643583356928