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Research on evaluation of Wuhan air pollution emission level based on entropy weight method
by
Wang, Na
, Zhang, Yaxin
in
704/106
/ 704/172
/ Air pollution
/ Air quality
/ Air quality assessments
/ Emission level assessment
/ Emissions
/ Energy consumption
/ Entropy
/ Entropy weight method
/ Environmental indicators
/ Humanities and Social Sciences
/ Industrial pollution
/ multidisciplinary
/ Pollution control
/ Pollution levels
/ Pollution sources
/ Quality control
/ Science
/ Science (multidisciplinary)
/ Sulfur
/ Wuhan
2024
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Research on evaluation of Wuhan air pollution emission level based on entropy weight method
by
Wang, Na
, Zhang, Yaxin
in
704/106
/ 704/172
/ Air pollution
/ Air quality
/ Air quality assessments
/ Emission level assessment
/ Emissions
/ Energy consumption
/ Entropy
/ Entropy weight method
/ Environmental indicators
/ Humanities and Social Sciences
/ Industrial pollution
/ multidisciplinary
/ Pollution control
/ Pollution levels
/ Pollution sources
/ Quality control
/ Science
/ Science (multidisciplinary)
/ Sulfur
/ Wuhan
2024
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Research on evaluation of Wuhan air pollution emission level based on entropy weight method
by
Wang, Na
, Zhang, Yaxin
in
704/106
/ 704/172
/ Air pollution
/ Air quality
/ Air quality assessments
/ Emission level assessment
/ Emissions
/ Energy consumption
/ Entropy
/ Entropy weight method
/ Environmental indicators
/ Humanities and Social Sciences
/ Industrial pollution
/ multidisciplinary
/ Pollution control
/ Pollution levels
/ Pollution sources
/ Quality control
/ Science
/ Science (multidisciplinary)
/ Sulfur
/ Wuhan
2024
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Research on evaluation of Wuhan air pollution emission level based on entropy weight method
Journal Article
Research on evaluation of Wuhan air pollution emission level based on entropy weight method
2024
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Overview
For the lack of precise monitoring and accurate assessment models for air quality, this paper fully considers such constraints and establishes an evaluation model of air pollution emission level to evaluate the air pollution emission level of Wuhan—a city in central China. The model uses entropy weight method including important indicators of air pollution into the integrated optimization of air quality assessment, laying the basis for sources of pollution and the reasonable and effective city development. The total emissions of air pollution for Wuhan shows a gradual upward trend over time, mainly coming from industrial pollution. The government can reduce air pollution by focusing on detecting major polluting industries, promoting industrial technological progress and innovation, and strengthening the effective implementation of emission trading system.
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