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...
Autores principales: | , , , |
---|---|
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 |