Fuzzy Algorithm and Air Quality Ranking—Taking 18 Urban Cities in China as an Example

The air quality is generally graded into five levels in a simple way or released by the Air Pollution Index (API) which does not take the fine particulate matter (PM 2.5 ) emission into account. The fuzzy algorithm in this paper solves the mutability aroused by the grading approach by counting in th...

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Bibliographic Details
Published in:Water, air, and soil pollution Vol. 234; no. 11; p. 704
Main Author: Yu, Kui
Format: Journal Article
Language:English
Published: Cham Springer International Publishing 01.11.2023
Springer
Springer Nature B.V
Subjects:
air
Air monitoring
Air pollution
Air quality
Air quality indexes
Algorithms
Analysis
Atmospheric Protection/Air Quality Control/Air Pollution
China
Cities
Cities and towns
climate
Climate Change/Climate Change Impacts
coal
Earth and Environmental Science
Economic development
Emissions
Environment
Environmental monitoring
humans
Hydrogeology
Mongolia
Outdoor air quality
Particulate emissions
Particulate matter
particulates
Pollutants
Pollution index
Ranking
Rankings
Sand, gravel and stone industry
soil
Soil Science & Conservation
Suspended particulate matter
Urbanization
water
Water Quality/Water Pollution
China
Mongolia
Air quality
Membership
Membership matrix
Fuzzy recognition modeling
Air pollutant
ISSN:0049-6979, 1573-2932
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Summary:The air quality is generally graded into five levels in a simple way or released by the Air Pollution Index (API) which does not take the fine particulate matter (PM 2.5 ) emission into account. The fuzzy algorithm in this paper solves the mutability aroused by the grading approach by counting in the six items of pollutants pertaining to Short-lived climate forcers (SLCFs). Firstly, six items of air pollutants as well as driving factors of human activities are introduced. Secondly, based on the relevant observation data from the China Air Quality Online Monitoring Platform (CAQOMP), 18 experimental cities covering North China, East China, Central China, and South China are selected in this paper for air quality comparison and analysis in the application of the fuzzy algorithm. Thirdly, this paper looks into the air quality ranking of experimental 18 cities from a regional perspective. North China’s air quality is not optimistic owing to being in a location near the coal producer and sand-sourced Outer Mongolia. Central China’s air quality is more impacted by high-speed economic development and urbanization during the last couple of years. O 3 emission is not well controlled across China. It turns out that the ranking by using the fuzzy algorithmic method is more scientific and holistic than API.
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ISSN:0049-6979
1573-2932
DOI:10.1007/s11270-023-06710-0