2019African Journal of Mathematics and Computer Science ResearchOpen access

An air quality composite index based on pollutant concentration factor analysis

Kaiguang Zhang, Mingting Ba, MENG Hong-ling, Yanmin Sun

Open full text 5 citations

Abstract

To overcome the problems of Air Quality Index in describing regional short-term air quality status and changing trend, based on the daily average concentrations of six air pollutants affecting regional air quality in Zhengzhou from 2015 to 2018, this paper analyzes their correlation characteristics and defines an air quality composite index instead of the original index by using factor analysis method, which not only extracts all the information of each Individual Air Quality Index, but also eliminates the correlation among them. At last, it analyzes the difference between the two indices in describing regional short-term air quality status and changing trend. Key words: Air quality index (AQI), individual air quality index (IAQI), correlation coefficient, partial correlation coefficient, information extraction, factor analysis.

Open-access reader

About this research paper

What this paper is about

To overcome the problems of Air Quality Index in describing regional short-term air quality status and changing trend, based on the daily average concentrations of six air pollutants affecting regional air quality in Zhengzhou from 2015 to 2018, this paper analyzes their correlation characteristics and defines an air quality composite index instead of the original index by using factor analysis method, which not only extracts all the information of each Individual Air Quality Index, but also eliminates the correlation among them. At last, it analyzes the difference between the two indices in describing regional short-term air quality status and changing trend. Key words: Air quality index (AQI), individual air quality index (IAQI), correlation coefficient, partial correlation coefficient, information extraction, factor analysis.

Why it matters

OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

To overcome the problems of Air Quality Index in describing regional short-term air quality status and changing trend, based on the daily average concentrations of six air pollutants affecting regional air quality in Zhengzhou from 2015 to 2018, this paper analyzes their correlation characteristics and defines an air quality composite index instead of the original index by using factor analysis method, which not only extracts all the information of each Individual Air Quality Index, but also eliminates the correlation among them. At last, it analyzes the difference between the two indices in describing regional short-term air quality status and changing trend. Key words: Air quality index (AQI), individual air quality index (IAQI), correlation coefficient, partial correlation coefficient, information extraction, factor analysis.

Key concepts: Air quality index, Correlation coefficient, Index (typography), Environmental science, Composite index, Quality (philosophy), Pollutant, Air pollutants

Related papers

Back to paper searchBrowse research topicsOriginal source
An air quality composite index based on pollutant concentration factor analysis — Research Paper | ScholarLens