Spatio-temporal variations of PM2.5 concentrations and the evaluation of emission reduction measures during two red air pollution alerts in Beijing

Abstract To effectively improve air quality during pollution episodes, Beijing released two red alerts in 2015. Here we examined spatio-temporal variations of PM2.5 concentrations during two alerts based on multiple data sources. Results suggested that PM2.5 concentrations varied significantly acros...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Nianliang Cheng, Dawei Zhang, Yunting Li, Xiaoming Xie, Ziyue Chen, Fan Meng, Bingbo Gao, Bin He
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/482a0bf6f6b945b4a240f22938bf8f6f
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:482a0bf6f6b945b4a240f22938bf8f6f
record_format	dspace
spelling	oai:doaj.org-article:482a0bf6f6b945b4a240f22938bf8f6f2021-12-02T12:30:36ZSpatio-temporal variations of PM2.5 concentrations and the evaluation of emission reduction measures during two red air pollution alerts in Beijing10.1038/s41598-017-08895-x2045-2322https://doaj.org/article/482a0bf6f6b945b4a240f22938bf8f6f2017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-08895-xhttps://doaj.org/toc/2045-2322Abstract To effectively improve air quality during pollution episodes, Beijing released two red alerts in 2015. Here we examined spatio-temporal variations of PM2.5 concentrations during two alerts based on multiple data sources. Results suggested that PM2.5 concentrations varied significantly across Beijing. PM2.5 concentrations in southern parts of Beijing were higher than those in northern areas during both alerts. In addition to unfavorable meteorological conditions, coal combustion, especially incomplete coal combustion contributed significantly to the high PM2.5 concentrations. Through the CAMx model, we evaluated the effects of emission-reduction measures on PM2.5 concentrations. Through simulation, emergency measures cut down 10% – 30% of the total emissions and decreased the peaks of PM2.5 concentrations by about 10–20% during two alerts. We further examined the scenario if emergency measures were implemented several days earlier than the start of red alerts. The results proved that the implementation of emission reduction measures 1–2 days before red alerts could lower the peak of PM2.5 concentrations significantly. Given the difficulty of precisely predicting the duration of heavy pollution episodes and the fact that successive heavy pollution episodes may return after red alerts, emergency measures should also be implemented one or two days after the red alerts.Nianliang ChengDawei ZhangYunting LiXiaoming XieZiyue ChenFan MengBingbo GaoBin HeNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Nianliang Cheng Dawei Zhang Yunting Li Xiaoming Xie Ziyue Chen Fan Meng Bingbo Gao Bin He Spatio-temporal variations of PM2.5 concentrations and the evaluation of emission reduction measures during two red air pollution alerts in Beijing
description	Abstract To effectively improve air quality during pollution episodes, Beijing released two red alerts in 2015. Here we examined spatio-temporal variations of PM2.5 concentrations during two alerts based on multiple data sources. Results suggested that PM2.5 concentrations varied significantly across Beijing. PM2.5 concentrations in southern parts of Beijing were higher than those in northern areas during both alerts. In addition to unfavorable meteorological conditions, coal combustion, especially incomplete coal combustion contributed significantly to the high PM2.5 concentrations. Through the CAMx model, we evaluated the effects of emission-reduction measures on PM2.5 concentrations. Through simulation, emergency measures cut down 10% – 30% of the total emissions and decreased the peaks of PM2.5 concentrations by about 10–20% during two alerts. We further examined the scenario if emergency measures were implemented several days earlier than the start of red alerts. The results proved that the implementation of emission reduction measures 1–2 days before red alerts could lower the peak of PM2.5 concentrations significantly. Given the difficulty of precisely predicting the duration of heavy pollution episodes and the fact that successive heavy pollution episodes may return after red alerts, emergency measures should also be implemented one or two days after the red alerts.
format	article
author	Nianliang Cheng Dawei Zhang Yunting Li Xiaoming Xie Ziyue Chen Fan Meng Bingbo Gao Bin He
author_facet	Nianliang Cheng Dawei Zhang Yunting Li Xiaoming Xie Ziyue Chen Fan Meng Bingbo Gao Bin He
author_sort	Nianliang Cheng
title	Spatio-temporal variations of PM2.5 concentrations and the evaluation of emission reduction measures during two red air pollution alerts in Beijing
title_short	Spatio-temporal variations of PM2.5 concentrations and the evaluation of emission reduction measures during two red air pollution alerts in Beijing
title_full	Spatio-temporal variations of PM2.5 concentrations and the evaluation of emission reduction measures during two red air pollution alerts in Beijing
title_fullStr	Spatio-temporal variations of PM2.5 concentrations and the evaluation of emission reduction measures during two red air pollution alerts in Beijing
title_full_unstemmed	Spatio-temporal variations of PM2.5 concentrations and the evaluation of emission reduction measures during two red air pollution alerts in Beijing
title_sort	spatio-temporal variations of pm2.5 concentrations and the evaluation of emission reduction measures during two red air pollution alerts in beijing
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/482a0bf6f6b945b4a240f22938bf8f6f
work_keys_str_mv	AT nianliangcheng spatiotemporalvariationsofpm25concentrationsandtheevaluationofemissionreductionmeasuresduringtworedairpollutionalertsinbeijing AT daweizhang spatiotemporalvariationsofpm25concentrationsandtheevaluationofemissionreductionmeasuresduringtworedairpollutionalertsinbeijing AT yuntingli spatiotemporalvariationsofpm25concentrationsandtheevaluationofemissionreductionmeasuresduringtworedairpollutionalertsinbeijing AT xiaomingxie spatiotemporalvariationsofpm25concentrationsandtheevaluationofemissionreductionmeasuresduringtworedairpollutionalertsinbeijing AT ziyuechen spatiotemporalvariationsofpm25concentrationsandtheevaluationofemissionreductionmeasuresduringtworedairpollutionalertsinbeijing AT fanmeng spatiotemporalvariationsofpm25concentrationsandtheevaluationofemissionreductionmeasuresduringtworedairpollutionalertsinbeijing AT bingbogao spatiotemporalvariationsofpm25concentrationsandtheevaluationofemissionreductionmeasuresduringtworedairpollutionalertsinbeijing AT binhe spatiotemporalvariationsofpm25concentrationsandtheevaluationofemissionreductionmeasuresduringtworedairpollutionalertsinbeijing
_version_	1718394330795737088

Spatio-temporal variations of PM2.5 concentrations and the evaluation of emission reduction measures during two red air pollution alerts in Beijing

Ejemplares similares