The Complex Nonlinear Coupling Causal Patterns Between PM2.5 and Meteorological Factors in Tibetan Plateau: A Case Study in Xining

PM2.5 pollution influences the population health and people’s daily life. Because meteorological factors are main factor affecting the formation of PM2.5, the interaction between PM2.5 and meteorological factors needs to be better understood, both for air quality management and for PM2.5...

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Autores principales:	Zhixiao Zou, Changxiu Cheng, Shi Shen
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Nonlinear state space coupling PM2.5 meteorological factors plateau cities Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/fd4a22bd628c4325afa39620aa2f0ab8
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spelling	oai:doaj.org-article:fd4a22bd628c4325afa39620aa2f0ab82021-11-18T00:06:21ZThe Complex Nonlinear Coupling Causal Patterns Between PM2.5 and Meteorological Factors in Tibetan Plateau: A Case Study in Xining2169-353610.1109/ACCESS.2021.3123455https://doaj.org/article/fd4a22bd628c4325afa39620aa2f0ab82021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9591570/https://doaj.org/toc/2169-3536PM2.5 pollution influences the population health and people’s daily life. Because meteorological factors are main factor affecting the formation of PM2.5, the interaction between PM2.5 and meteorological factors needs to be better understood, both for air quality management and for PM2.5 projection. Here, we use a nonlinear state space method called the convergent cross mapping method to identify the complex coupling patterns between PM2.5 and meteorological factors in a plateau city: Xining. The results prove that PM2.5-meteorological coupling patterns change with seasons and PM2.5-meteorological coupling patterns are fixed in spring, autumn and winter. There is no fixed pattern in summer. In spring, there is a negative unidirectional effect from precipitation to PM2.5 and a negative bidirectional effect between relative humidity and PM2.5. In autumn, there are some negative bidirectional effects between PM2.5 and relative humidity, precipitation, and air pressure, while solar radiation has a positive bidirectional effect on PM2.5. In winter, there are negative bidirectional couplings between PM2.5 and wind speed and temperature and a positive bidirectional coupling between relative humidity and PM2.5. Furthermore, relative humidity is a consistent driving factor affecting PM2.5. Most of the time, air quality managers may alleviate PM2.5 by increasing relative humidity. Thus, the results provide a meteorological means for improving air quality in plateau cities.Zhixiao ZouChangxiu ChengShi ShenIEEEarticleNonlinear state spacecouplingPM2.5meteorological factorsplateau citiesElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 150373-150382 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Nonlinear state space coupling PM2.5 meteorological factors plateau cities Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Nonlinear state space coupling PM2.5 meteorological factors plateau cities Electrical engineering. Electronics. Nuclear engineering TK1-9971 Zhixiao Zou Changxiu Cheng Shi Shen The Complex Nonlinear Coupling Causal Patterns Between PM2.5 and Meteorological Factors in Tibetan Plateau: A Case Study in Xining
description	PM2.5 pollution influences the population health and people’s daily life. Because meteorological factors are main factor affecting the formation of PM2.5, the interaction between PM2.5 and meteorological factors needs to be better understood, both for air quality management and for PM2.5 projection. Here, we use a nonlinear state space method called the convergent cross mapping method to identify the complex coupling patterns between PM2.5 and meteorological factors in a plateau city: Xining. The results prove that PM2.5-meteorological coupling patterns change with seasons and PM2.5-meteorological coupling patterns are fixed in spring, autumn and winter. There is no fixed pattern in summer. In spring, there is a negative unidirectional effect from precipitation to PM2.5 and a negative bidirectional effect between relative humidity and PM2.5. In autumn, there are some negative bidirectional effects between PM2.5 and relative humidity, precipitation, and air pressure, while solar radiation has a positive bidirectional effect on PM2.5. In winter, there are negative bidirectional couplings between PM2.5 and wind speed and temperature and a positive bidirectional coupling between relative humidity and PM2.5. Furthermore, relative humidity is a consistent driving factor affecting PM2.5. Most of the time, air quality managers may alleviate PM2.5 by increasing relative humidity. Thus, the results provide a meteorological means for improving air quality in plateau cities.
format	article
author	Zhixiao Zou Changxiu Cheng Shi Shen
author_facet	Zhixiao Zou Changxiu Cheng Shi Shen
author_sort	Zhixiao Zou
title	The Complex Nonlinear Coupling Causal Patterns Between PM2.5 and Meteorological Factors in Tibetan Plateau: A Case Study in Xining
title_short	The Complex Nonlinear Coupling Causal Patterns Between PM2.5 and Meteorological Factors in Tibetan Plateau: A Case Study in Xining
title_full	The Complex Nonlinear Coupling Causal Patterns Between PM2.5 and Meteorological Factors in Tibetan Plateau: A Case Study in Xining
title_fullStr	The Complex Nonlinear Coupling Causal Patterns Between PM2.5 and Meteorological Factors in Tibetan Plateau: A Case Study in Xining
title_full_unstemmed	The Complex Nonlinear Coupling Causal Patterns Between PM2.5 and Meteorological Factors in Tibetan Plateau: A Case Study in Xining
title_sort	complex nonlinear coupling causal patterns between pm2.5 and meteorological factors in tibetan plateau: a case study in xining
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/fd4a22bd628c4325afa39620aa2f0ab8
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The Complex Nonlinear Coupling Causal Patterns Between PM2.5 and Meteorological Factors in Tibetan Plateau: A Case Study in Xining

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