Atmospheric Pollution Mapping of the Yangtze River Basin: An AQI-Based Weighted Co-Word Analysis

Yu Song, Bingrui Liu, Xiaohong Chen and Jia Liu
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Yu Song: School of Public Administration, Huazhong Agriculture University, Wuhan 430072, China
Bingrui Liu: School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China
Xiaohong Chen: Institute of Big Data and Internet Innovation, Hunan University of Commerce, Changsha 410205, China
Jia Liu: School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China

IJERPH, 2020, vol. 17, issue 3, 1-16

Abstract: The purpose of this paper is to analyze the characteristics and human effects of atmospheric pollution in the Yangtze River Basin (YRB). An AQI(Air Quality Index)-based weighted co-word method is applied to explore the characteristics of keywords taken from the data, using authoritative media sources and government reports. Hierarchical clustering techniques are utilized to classify and visualize the keywords and display the different types of incidents. The results reveal the following four main clusters: enterprise pollution, coal-burning pollution, traffic pollution, and air pollutants. Cluster 1 is divided into 7 sub-clusters to offer powerful insight into the structural characteristics of industrial activities. This study is one of the first attempts to use a bibliometric approach to visualize the underlying and interconnected sub-clusters from grey data. It also provides an atmospheric pollution mapping for formulating government policies by understanding the human effects of air pollution incidents.

Keywords: air pollution incidents; co-word analysis; Yangtze River Basin; clustering (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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