Cargando…

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

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 source...

Descripción completa

Detalles Bibliográficos
Autores principales: Song, Yu, Liu, Bingrui, Chen, Xiaohong, Liu, Jia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7037598/
https://www.ncbi.nlm.nih.gov/pubmed/32012967
http://dx.doi.org/10.3390/ijerph17030817
_version_ 1783500461492404224
author Song, Yu
Liu, Bingrui
Chen, Xiaohong
Liu, Jia
author_facet Song, Yu
Liu, Bingrui
Chen, Xiaohong
Liu, Jia
author_sort Song, Yu
collection PubMed
description 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.
format Online
Article
Text
id pubmed-7037598
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-70375982020-03-11 Atmospheric Pollution Mapping of the Yangtze River Basin: An AQI-Based Weighted Co-Word Analysis Song, Yu Liu, Bingrui Chen, Xiaohong Liu, Jia Int J Environ Res Public Health Article 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. MDPI 2020-01-28 2020-02 /pmc/articles/PMC7037598/ /pubmed/32012967 http://dx.doi.org/10.3390/ijerph17030817 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Song, Yu
Liu, Bingrui
Chen, Xiaohong
Liu, Jia
Atmospheric Pollution Mapping of the Yangtze River Basin: An AQI-Based Weighted Co-Word Analysis
title Atmospheric Pollution Mapping of the Yangtze River Basin: An AQI-Based Weighted Co-Word Analysis
title_full Atmospheric Pollution Mapping of the Yangtze River Basin: An AQI-Based Weighted Co-Word Analysis
title_fullStr Atmospheric Pollution Mapping of the Yangtze River Basin: An AQI-Based Weighted Co-Word Analysis
title_full_unstemmed Atmospheric Pollution Mapping of the Yangtze River Basin: An AQI-Based Weighted Co-Word Analysis
title_short Atmospheric Pollution Mapping of the Yangtze River Basin: An AQI-Based Weighted Co-Word Analysis
title_sort atmospheric pollution mapping of the yangtze river basin: an aqi-based weighted co-word analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7037598/
https://www.ncbi.nlm.nih.gov/pubmed/32012967
http://dx.doi.org/10.3390/ijerph17030817
work_keys_str_mv AT songyu atmosphericpollutionmappingoftheyangtzeriverbasinanaqibasedweightedcowordanalysis
AT liubingrui atmosphericpollutionmappingoftheyangtzeriverbasinanaqibasedweightedcowordanalysis
AT chenxiaohong atmosphericpollutionmappingoftheyangtzeriverbasinanaqibasedweightedcowordanalysis
AT liujia atmosphericpollutionmappingoftheyangtzeriverbasinanaqibasedweightedcowordanalysis