Comprehensive Evaluation of Environmental Air Quality Based on the Entropy Weights and Concentration Variation Trends of Pollutants
The comprehensive index method has difficulties in evaluating the influence of air pollutant concentration changes on ambient air quality. Thus, a comprehensive evaluation method based on pollutant entropy weights and trend-regulating factors is proposed. According to the information entropy rates o...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Atmosphere |
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| Online Access: | https://www.mdpi.com/2073-4433/13/12/1978 |
| _version_ | 1827641895849820160 |
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| author | Hao Zheng Zhen Yang Jianhua Yang Yanan Tao Linlin Zhang |
| author_facet | Hao Zheng Zhen Yang Jianhua Yang Yanan Tao Linlin Zhang |
| author_sort | Hao Zheng |
| collection | DOAJ |
| description | The comprehensive index method has difficulties in evaluating the influence of air pollutant concentration changes on ambient air quality. Thus, a comprehensive evaluation method based on pollutant entropy weights and trend-regulating factors is proposed. According to the information entropy rates of 6 pollutants, the single entropy weight index is proposed by integrating it with the single-quality index, which reflects pollutant variations in evaluation periods. The Spearman’s rank correlation coefficient between the pollutant and Air Quality Index (AQI) is defined as the trend-regulating factor, which indicates the correlations between pollutants and improvements or retrogressions in ambient air quality. The covariance is used to determine the variation trend of ambient air quality, which decides the positive or negative of trend-regulating factor. This method is used to study the ambient air quality rates in 10 cities of Shaanxi Province from 2017 to 2022. The trends of air quality improvements vary among the central, northern, and southern cities. The central cities have more spaces for air quality improvements in terms of PM<sub>2.5</sub> and O<sub>3</sub>. Although prevention efforts have reduced the impacts of pollutants, PM<sub>2.5</sub> is still the key factor affecting improvements in ambient air quality in most cities in winter. Additionally, the O<sub>3</sub> pollution in summer was not controlled effectively. The contribution to air pollution of O<sub>3</sub> increased, on the contrary with the improvement in air quality. The coordinated control of PM<sub>2.5</sub> and O<sub>3</sub> is still an important method of ambient air quality improvement. |
| first_indexed | 2024-03-09T17:21:07Z |
| format | Article |
| id | doaj.art-6e1edc12ac134f20b8da4f204d44bf31 |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-09T17:21:07Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-6e1edc12ac134f20b8da4f204d44bf312023-11-24T13:10:43ZengMDPI AGAtmosphere2073-44332022-11-011312197810.3390/atmos13121978Comprehensive Evaluation of Environmental Air Quality Based on the Entropy Weights and Concentration Variation Trends of PollutantsHao Zheng0Zhen Yang1Jianhua Yang2Yanan Tao3Linlin Zhang4School of Automation, Northwestern Polytechnical University, Xi’an 710072, ChinaShaanxi Provincial Environmental Monitoring Center Station, Xi’an 710054, ChinaSchool of Automation, Northwestern Polytechnical University, Xi’an 710072, ChinaShaanxi Provincial Environmental Monitoring Center Station, Xi’an 710054, ChinaShaanxi Provincial Environmental Monitoring Center Station, Xi’an 710054, ChinaThe comprehensive index method has difficulties in evaluating the influence of air pollutant concentration changes on ambient air quality. Thus, a comprehensive evaluation method based on pollutant entropy weights and trend-regulating factors is proposed. According to the information entropy rates of 6 pollutants, the single entropy weight index is proposed by integrating it with the single-quality index, which reflects pollutant variations in evaluation periods. The Spearman’s rank correlation coefficient between the pollutant and Air Quality Index (AQI) is defined as the trend-regulating factor, which indicates the correlations between pollutants and improvements or retrogressions in ambient air quality. The covariance is used to determine the variation trend of ambient air quality, which decides the positive or negative of trend-regulating factor. This method is used to study the ambient air quality rates in 10 cities of Shaanxi Province from 2017 to 2022. The trends of air quality improvements vary among the central, northern, and southern cities. The central cities have more spaces for air quality improvements in terms of PM<sub>2.5</sub> and O<sub>3</sub>. Although prevention efforts have reduced the impacts of pollutants, PM<sub>2.5</sub> is still the key factor affecting improvements in ambient air quality in most cities in winter. Additionally, the O<sub>3</sub> pollution in summer was not controlled effectively. The contribution to air pollution of O<sub>3</sub> increased, on the contrary with the improvement in air quality. The coordinated control of PM<sub>2.5</sub> and O<sub>3</sub> is still an important method of ambient air quality improvement.https://www.mdpi.com/2073-4433/13/12/1978ambient air quality evaluationcomprehensive indexentropy weightSpearman’s rank correlation coefficient |
| spellingShingle | Hao Zheng Zhen Yang Jianhua Yang Yanan Tao Linlin Zhang Comprehensive Evaluation of Environmental Air Quality Based on the Entropy Weights and Concentration Variation Trends of Pollutants Atmosphere ambient air quality evaluation comprehensive index entropy weight Spearman’s rank correlation coefficient |
| title | Comprehensive Evaluation of Environmental Air Quality Based on the Entropy Weights and Concentration Variation Trends of Pollutants |
| title_full | Comprehensive Evaluation of Environmental Air Quality Based on the Entropy Weights and Concentration Variation Trends of Pollutants |
| title_fullStr | Comprehensive Evaluation of Environmental Air Quality Based on the Entropy Weights and Concentration Variation Trends of Pollutants |
| title_full_unstemmed | Comprehensive Evaluation of Environmental Air Quality Based on the Entropy Weights and Concentration Variation Trends of Pollutants |
| title_short | Comprehensive Evaluation of Environmental Air Quality Based on the Entropy Weights and Concentration Variation Trends of Pollutants |
| title_sort | comprehensive evaluation of environmental air quality based on the entropy weights and concentration variation trends of pollutants |
| topic | ambient air quality evaluation comprehensive index entropy weight Spearman’s rank correlation coefficient |
| url | https://www.mdpi.com/2073-4433/13/12/1978 |
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