An Empirical Mode Decomposition for Establishing Spatiotemporal Air Quality Trends in Shandong Province, China

Air pollution is a serious problem in China, and the government has taken a series of steps to solve it. However, it is still u2nclear how the situation has improved after years of atmospheric pollution control. Shandong Province, which has the second largest population and the highest coal consumpt...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Huisheng Wu, Maogui Hu, Yaping Zhang, Yuan Han
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
Acceso en línea:https://doaj.org/article/560da6ce9ce2450980a1f5a86d41a905
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:560da6ce9ce2450980a1f5a86d41a905
record_format dspace
spelling oai:doaj.org-article:560da6ce9ce2450980a1f5a86d41a9052021-11-25T19:05:23ZAn Empirical Mode Decomposition for Establishing Spatiotemporal Air Quality Trends in Shandong Province, China10.3390/su1322129012071-1050https://doaj.org/article/560da6ce9ce2450980a1f5a86d41a9052021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/22/12901https://doaj.org/toc/2071-1050Air pollution is a serious problem in China, and the government has taken a series of steps to solve it. However, it is still u2nclear how the situation has improved after years of atmospheric pollution control. Shandong Province, which has the second largest population and the highest coal consumption in China, was chosen to analyze the spatiotemporal air quality trends. We obtained daily air quality index (AQI) values from 91 stations in the province from 1 January 2014, to 31 December 2019, based on an adaptive data analysis method, empirical mode decomposition (EMD). The distribution of AQI in Shandong Province was heterogeneous at both spatial and temporal scales. All the stations could be divided into four clusters whose AQI trends decreased from 75 to 53, 95 to 68, 128 to 82, and 148 to 82, respectively. The overall trend of pollution became more serious from east to west in the province. The AQI is the largest in winter, followed by spring and autumn, and the smallest index occurs in summer. There are four types of annual trends of the AQI of each city. The overall downward trend indicates that the air quality of each city was improving annually.Huisheng WuMaogui HuYaping ZhangYuan HanMDPI AGarticleair pollutionspatial patterntemporal trenddecompositionEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12901, p 12901 (2021)
institution DOAJ
collection DOAJ
language EN
topic air pollution
spatial pattern
temporal trend
decomposition
Environmental effects of industries and plants
TD194-195
Renewable energy sources
TJ807-830
Environmental sciences
GE1-350
spellingShingle air pollution
spatial pattern
temporal trend
decomposition
Environmental effects of industries and plants
TD194-195
Renewable energy sources
TJ807-830
Environmental sciences
GE1-350
Huisheng Wu
Maogui Hu
Yaping Zhang
Yuan Han
An Empirical Mode Decomposition for Establishing Spatiotemporal Air Quality Trends in Shandong Province, China
description Air pollution is a serious problem in China, and the government has taken a series of steps to solve it. However, it is still u2nclear how the situation has improved after years of atmospheric pollution control. Shandong Province, which has the second largest population and the highest coal consumption in China, was chosen to analyze the spatiotemporal air quality trends. We obtained daily air quality index (AQI) values from 91 stations in the province from 1 January 2014, to 31 December 2019, based on an adaptive data analysis method, empirical mode decomposition (EMD). The distribution of AQI in Shandong Province was heterogeneous at both spatial and temporal scales. All the stations could be divided into four clusters whose AQI trends decreased from 75 to 53, 95 to 68, 128 to 82, and 148 to 82, respectively. The overall trend of pollution became more serious from east to west in the province. The AQI is the largest in winter, followed by spring and autumn, and the smallest index occurs in summer. There are four types of annual trends of the AQI of each city. The overall downward trend indicates that the air quality of each city was improving annually.
format article
author Huisheng Wu
Maogui Hu
Yaping Zhang
Yuan Han
author_facet Huisheng Wu
Maogui Hu
Yaping Zhang
Yuan Han
author_sort Huisheng Wu
title An Empirical Mode Decomposition for Establishing Spatiotemporal Air Quality Trends in Shandong Province, China
title_short An Empirical Mode Decomposition for Establishing Spatiotemporal Air Quality Trends in Shandong Province, China
title_full An Empirical Mode Decomposition for Establishing Spatiotemporal Air Quality Trends in Shandong Province, China
title_fullStr An Empirical Mode Decomposition for Establishing Spatiotemporal Air Quality Trends in Shandong Province, China
title_full_unstemmed An Empirical Mode Decomposition for Establishing Spatiotemporal Air Quality Trends in Shandong Province, China
title_sort empirical mode decomposition for establishing spatiotemporal air quality trends in shandong province, china
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/560da6ce9ce2450980a1f5a86d41a905
work_keys_str_mv AT huishengwu anempiricalmodedecompositionforestablishingspatiotemporalairqualitytrendsinshandongprovincechina
AT maoguihu anempiricalmodedecompositionforestablishingspatiotemporalairqualitytrendsinshandongprovincechina
AT yapingzhang anempiricalmodedecompositionforestablishingspatiotemporalairqualitytrendsinshandongprovincechina
AT yuanhan anempiricalmodedecompositionforestablishingspatiotemporalairqualitytrendsinshandongprovincechina
AT huishengwu empiricalmodedecompositionforestablishingspatiotemporalairqualitytrendsinshandongprovincechina
AT maoguihu empiricalmodedecompositionforestablishingspatiotemporalairqualitytrendsinshandongprovincechina
AT yapingzhang empiricalmodedecompositionforestablishingspatiotemporalairqualitytrendsinshandongprovincechina
AT yuanhan empiricalmodedecompositionforestablishingspatiotemporalairqualitytrendsinshandongprovincechina
_version_ 1718410340611391488