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A Cluster Analysis of Constant Ambient Air Monitoring Data from the Kanto Region of Japan
This study demonstrates an application of cluster analysis to constant ambient air monitoring data of four pollutants in the Kanto region: NO(x), photochemical oxidant (O(x)), suspended particulate matter, and non-methane hydrocarbons. Constant ambient air monitoring can provide important informatio...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4113849/ https://www.ncbi.nlm.nih.gov/pubmed/24995597 http://dx.doi.org/10.3390/ijerph110706844 |
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author | Iizuka, Atsushi Shirato, Shintaro Mizukoshi, Atsushi Noguchi, Miyuki Yamasaki, Akihiro Yanagisawa, Yukio |
author_facet | Iizuka, Atsushi Shirato, Shintaro Mizukoshi, Atsushi Noguchi, Miyuki Yamasaki, Akihiro Yanagisawa, Yukio |
author_sort | Iizuka, Atsushi |
collection | PubMed |
description | This study demonstrates an application of cluster analysis to constant ambient air monitoring data of four pollutants in the Kanto region: NO(x), photochemical oxidant (O(x)), suspended particulate matter, and non-methane hydrocarbons. Constant ambient air monitoring can provide important information about the surrounding atmospheric pollution. However, at the same time, ambient air monitoring can place a significant financial burden on some autonomous communities. Thus, it has been necessary to reduce both the number of monitoring stations and the number of chemicals monitored. To achieve this, it is necessary to identify those monitoring stations and pollutants that are least significant, while minimizing the loss of data quality and mitigating the effects on the determination of any spatial and temporal trends of the pollutants. Through employing cluster analysis, it was established that the ambient monitoring stations in the Kanto region could be clustered topologically for NO(x) and O(x) into eight groups. From the results of this analysis, it was possible to identify the similarities in site characteristics and pollutant behaviors. |
format | Online Article Text |
id | pubmed-4113849 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-41138492014-07-29 A Cluster Analysis of Constant Ambient Air Monitoring Data from the Kanto Region of Japan Iizuka, Atsushi Shirato, Shintaro Mizukoshi, Atsushi Noguchi, Miyuki Yamasaki, Akihiro Yanagisawa, Yukio Int J Environ Res Public Health Article This study demonstrates an application of cluster analysis to constant ambient air monitoring data of four pollutants in the Kanto region: NO(x), photochemical oxidant (O(x)), suspended particulate matter, and non-methane hydrocarbons. Constant ambient air monitoring can provide important information about the surrounding atmospheric pollution. However, at the same time, ambient air monitoring can place a significant financial burden on some autonomous communities. Thus, it has been necessary to reduce both the number of monitoring stations and the number of chemicals monitored. To achieve this, it is necessary to identify those monitoring stations and pollutants that are least significant, while minimizing the loss of data quality and mitigating the effects on the determination of any spatial and temporal trends of the pollutants. Through employing cluster analysis, it was established that the ambient monitoring stations in the Kanto region could be clustered topologically for NO(x) and O(x) into eight groups. From the results of this analysis, it was possible to identify the similarities in site characteristics and pollutant behaviors. MDPI 2014-07-03 2014-07 /pmc/articles/PMC4113849/ /pubmed/24995597 http://dx.doi.org/10.3390/ijerph110706844 Text en © 2014 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 license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Iizuka, Atsushi Shirato, Shintaro Mizukoshi, Atsushi Noguchi, Miyuki Yamasaki, Akihiro Yanagisawa, Yukio A Cluster Analysis of Constant Ambient Air Monitoring Data from the Kanto Region of Japan |
title | A Cluster Analysis of Constant Ambient Air Monitoring Data from the Kanto Region of Japan |
title_full | A Cluster Analysis of Constant Ambient Air Monitoring Data from the Kanto Region of Japan |
title_fullStr | A Cluster Analysis of Constant Ambient Air Monitoring Data from the Kanto Region of Japan |
title_full_unstemmed | A Cluster Analysis of Constant Ambient Air Monitoring Data from the Kanto Region of Japan |
title_short | A Cluster Analysis of Constant Ambient Air Monitoring Data from the Kanto Region of Japan |
title_sort | cluster analysis of constant ambient air monitoring data from the kanto region of japan |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4113849/ https://www.ncbi.nlm.nih.gov/pubmed/24995597 http://dx.doi.org/10.3390/ijerph110706844 |
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