Evaluating China’s Air Pollution Control Policy with Extended AQI Indicator System: Example of the Beijing-Tianjin-Hebei Region

This paper calculated and evaluated the air quality of 13 cities in China’s Beijing-Tianjin-Hebei (BTH) region from February 2015 to January 2018 based on the extended AQI (Air Quality Index) Indicator System. By capturing the heterogeneous information in major pollutant indicators and the...

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Main Authors: Guanghui Yuan, Weixin Yang
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/11/3/939
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spelling doaj-dc82c039940b415e90e355008f16dec42020-11-25T00:03:31ZengMDPI AGSustainability2071-10502019-02-0111393910.3390/su11030939su11030939Evaluating China’s Air Pollution Control Policy with Extended AQI Indicator System: Example of the Beijing-Tianjin-Hebei RegionGuanghui Yuan0Weixin Yang1School of Information Management and Engineering, Fintech Research Institute, Shanghai University of Finance and Economics, Shanghai 200433, ChinaBusiness School, University of Shanghai for Science and Technology, Shanghai 200093, ChinaThis paper calculated and evaluated the air quality of 13 cities in China’s Beijing-Tianjin-Hebei (BTH) region from February 2015 to January 2018 based on the extended AQI (Air Quality Index) Indicator System. By capturing the heterogeneous information in major pollutant indicators and the standardization process, we depicted the important effect of other relevant features of pollutant indicators beyond single-point data. Based on that, we further calculated the assessment value of the air quality of different cities in the BTH region by using the Collaborative Filtering Backward Cloud Model to construct differentiated weights of different indicators. With help of the Back Propagation (BP) Neutral Network, we simulated the effect of the pollution control policies of the Chinese government targeting air pollution since March 2016. Our conclusion is: the pollution control policies have improved the air quality of Beijing by 55.74%, and improved the air quality of Tianjin by 34.38%; while the migration of polluting enterprises from Beijing and Tianjin has caused different changes in air quality in different cities of Hebei province—we saw air quality deterioration by 58.60% and 38.68% in Shijiazhuang and Handan city respectively.https://www.mdpi.com/2071-1050/11/3/939AQI indicatorsair pollutioncollaborative filteringBeijing-Tianjin-Hebei region
collection DOAJ
language English
format Article
sources DOAJ
author Guanghui Yuan
Weixin Yang
spellingShingle Guanghui Yuan
Weixin Yang
Evaluating China’s Air Pollution Control Policy with Extended AQI Indicator System: Example of the Beijing-Tianjin-Hebei Region
Sustainability
AQI indicators
air pollution
collaborative filtering
Beijing-Tianjin-Hebei region
author_facet Guanghui Yuan
Weixin Yang
author_sort Guanghui Yuan
title Evaluating China’s Air Pollution Control Policy with Extended AQI Indicator System: Example of the Beijing-Tianjin-Hebei Region
title_short Evaluating China’s Air Pollution Control Policy with Extended AQI Indicator System: Example of the Beijing-Tianjin-Hebei Region
title_full Evaluating China’s Air Pollution Control Policy with Extended AQI Indicator System: Example of the Beijing-Tianjin-Hebei Region
title_fullStr Evaluating China’s Air Pollution Control Policy with Extended AQI Indicator System: Example of the Beijing-Tianjin-Hebei Region
title_full_unstemmed Evaluating China’s Air Pollution Control Policy with Extended AQI Indicator System: Example of the Beijing-Tianjin-Hebei Region
title_sort evaluating china’s air pollution control policy with extended aqi indicator system: example of the beijing-tianjin-hebei region
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2019-02-01
description This paper calculated and evaluated the air quality of 13 cities in China’s Beijing-Tianjin-Hebei (BTH) region from February 2015 to January 2018 based on the extended AQI (Air Quality Index) Indicator System. By capturing the heterogeneous information in major pollutant indicators and the standardization process, we depicted the important effect of other relevant features of pollutant indicators beyond single-point data. Based on that, we further calculated the assessment value of the air quality of different cities in the BTH region by using the Collaborative Filtering Backward Cloud Model to construct differentiated weights of different indicators. With help of the Back Propagation (BP) Neutral Network, we simulated the effect of the pollution control policies of the Chinese government targeting air pollution since March 2016. Our conclusion is: the pollution control policies have improved the air quality of Beijing by 55.74%, and improved the air quality of Tianjin by 34.38%; while the migration of polluting enterprises from Beijing and Tianjin has caused different changes in air quality in different cities of Hebei province—we saw air quality deterioration by 58.60% and 38.68% in Shijiazhuang and Handan city respectively.
topic AQI indicators
air pollution
collaborative filtering
Beijing-Tianjin-Hebei region
url https://www.mdpi.com/2071-1050/11/3/939
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AT weixinyang evaluatingchinasairpollutioncontrolpolicywithextendedaqiindicatorsystemexampleofthebeijingtianjinhebeiregion
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