Exploring the spatial heterogeneity and temporal homogeneity of ambient PM10 in nine core cities of China

Abstract We focus on the causes of fluctuations in wintertime PM10 in nine regional core cities of China using two machine learning models, Random Forest (RF) and Recurrent Neural Network (RNN). RF and RNN both show high performance in predicting hourly PM10 using only gaseous air pollutants (SO2, N...

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Autores principales:	Rui Feng, Rong Zhou, Weiwei Shi, Nanjing Shi, Xuekun Fang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d4d29ed1597c4c6aaa46e154ad4b0814
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spelling	oai:doaj.org-article:d4d29ed1597c4c6aaa46e154ad4b08142021-12-02T13:41:00ZExploring the spatial heterogeneity and temporal homogeneity of ambient PM10 in nine core cities of China10.1038/s41598-021-88596-82045-2322https://doaj.org/article/d4d29ed1597c4c6aaa46e154ad4b08142021-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-88596-8https://doaj.org/toc/2045-2322Abstract We focus on the causes of fluctuations in wintertime PM10 in nine regional core cities of China using two machine learning models, Random Forest (RF) and Recurrent Neural Network (RNN). RF and RNN both show high performance in predicting hourly PM10 using only gaseous air pollutants (SO2, NO2 and CO) as inputs, showing the predominance of the secondary inorganic aerosol and implying the existence of thermodynamic equilibrium between gaseous air pollutants and PM10. Also, we find the following results. The correlation of gaseous air pollutants and PM10 were more relevant than that of meteorological conditions and PM10. CO was the predominant factor for PM10 in the Beijing-Tianjin-Hebei Plain and the Yangtze River Delta while SO2 and NO2 were also important features for PM10 in the Pearl River Delta and Sichuan Basin. The spatial heterogeneity and temporal homogeneity of PM10 in China are revealed. The long-range transported PM10 was substantiated to be insignificant, except in the sandstorms. The severity of PM10 was attributable to the lopsided shift of thermodynamic equilibrium and the phenology of indigenous flora.Rui FengRong ZhouWeiwei ShiNanjing ShiXuekun FangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Rui Feng Rong Zhou Weiwei Shi Nanjing Shi Xuekun Fang Exploring the spatial heterogeneity and temporal homogeneity of ambient PM10 in nine core cities of China
description	Abstract We focus on the causes of fluctuations in wintertime PM10 in nine regional core cities of China using two machine learning models, Random Forest (RF) and Recurrent Neural Network (RNN). RF and RNN both show high performance in predicting hourly PM10 using only gaseous air pollutants (SO2, NO2 and CO) as inputs, showing the predominance of the secondary inorganic aerosol and implying the existence of thermodynamic equilibrium between gaseous air pollutants and PM10. Also, we find the following results. The correlation of gaseous air pollutants and PM10 were more relevant than that of meteorological conditions and PM10. CO was the predominant factor for PM10 in the Beijing-Tianjin-Hebei Plain and the Yangtze River Delta while SO2 and NO2 were also important features for PM10 in the Pearl River Delta and Sichuan Basin. The spatial heterogeneity and temporal homogeneity of PM10 in China are revealed. The long-range transported PM10 was substantiated to be insignificant, except in the sandstorms. The severity of PM10 was attributable to the lopsided shift of thermodynamic equilibrium and the phenology of indigenous flora.
format	article
author	Rui Feng Rong Zhou Weiwei Shi Nanjing Shi Xuekun Fang
author_facet	Rui Feng Rong Zhou Weiwei Shi Nanjing Shi Xuekun Fang
author_sort	Rui Feng
title	Exploring the spatial heterogeneity and temporal homogeneity of ambient PM10 in nine core cities of China
title_short	Exploring the spatial heterogeneity and temporal homogeneity of ambient PM10 in nine core cities of China
title_full	Exploring the spatial heterogeneity and temporal homogeneity of ambient PM10 in nine core cities of China
title_fullStr	Exploring the spatial heterogeneity and temporal homogeneity of ambient PM10 in nine core cities of China
title_full_unstemmed	Exploring the spatial heterogeneity and temporal homogeneity of ambient PM10 in nine core cities of China
title_sort	exploring the spatial heterogeneity and temporal homogeneity of ambient pm10 in nine core cities of china
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/d4d29ed1597c4c6aaa46e154ad4b0814
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Exploring the spatial heterogeneity and temporal homogeneity of ambient PM10 in nine core cities of China

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