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Variability analysis in PM2.5 monitoring
United States Environmental Protection Agency (US EPA) and Central Pollution Control Board (CPCB) are two major air quality monitoring agencies in India that measure the concentration of particulate matter of size up to 2.5 μm (PM2.5). PM2.5 study over southern Asia has significance from the environ...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6468191/ https://www.ncbi.nlm.nih.gov/pubmed/31016211 http://dx.doi.org/10.1016/j.dib.2019.103774 |
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author | Bhardwaj, Rashmi Pruthi, Dimple |
author_facet | Bhardwaj, Rashmi Pruthi, Dimple |
author_sort | Bhardwaj, Rashmi |
collection | PubMed |
description | United States Environmental Protection Agency (US EPA) and Central Pollution Control Board (CPCB) are two major air quality monitoring agencies in India that measure the concentration of particulate matter of size up to 2.5 μm (PM2.5). PM2.5 study over southern Asia has significance from the environment and ecosystem viewpoint (Abdullah et al.,2007; Dockery and Stone, 2007). In order to raise alert and controlling of pollutants, not only forecasting but the accuracy of forecasting has attracted attentions from various departments of research and air quality monitoring agencies. Quest for reducing error in forecasting has never come to pause. The precursor in forecasting is data monitoring. Keeping in focus the initial phase of data analysis, PM2.5 concentration was collected from both agencies within an area of radius 3.1 miles for the year 2016. Using the data, variability analysis is carried out for the efficiency of vital environment protection agencies. |
format | Online Article Text |
id | pubmed-6468191 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-64681912019-04-23 Variability analysis in PM2.5 monitoring Bhardwaj, Rashmi Pruthi, Dimple Data Brief Environmental Science United States Environmental Protection Agency (US EPA) and Central Pollution Control Board (CPCB) are two major air quality monitoring agencies in India that measure the concentration of particulate matter of size up to 2.5 μm (PM2.5). PM2.5 study over southern Asia has significance from the environment and ecosystem viewpoint (Abdullah et al.,2007; Dockery and Stone, 2007). In order to raise alert and controlling of pollutants, not only forecasting but the accuracy of forecasting has attracted attentions from various departments of research and air quality monitoring agencies. Quest for reducing error in forecasting has never come to pause. The precursor in forecasting is data monitoring. Keeping in focus the initial phase of data analysis, PM2.5 concentration was collected from both agencies within an area of radius 3.1 miles for the year 2016. Using the data, variability analysis is carried out for the efficiency of vital environment protection agencies. Elsevier 2019-03-14 /pmc/articles/PMC6468191/ /pubmed/31016211 http://dx.doi.org/10.1016/j.dib.2019.103774 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Environmental Science Bhardwaj, Rashmi Pruthi, Dimple Variability analysis in PM2.5 monitoring |
title | Variability analysis in PM2.5 monitoring |
title_full | Variability analysis in PM2.5 monitoring |
title_fullStr | Variability analysis in PM2.5 monitoring |
title_full_unstemmed | Variability analysis in PM2.5 monitoring |
title_short | Variability analysis in PM2.5 monitoring |
title_sort | variability analysis in pm2.5 monitoring |
topic | Environmental Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6468191/ https://www.ncbi.nlm.nih.gov/pubmed/31016211 http://dx.doi.org/10.1016/j.dib.2019.103774 |
work_keys_str_mv | AT bhardwajrashmi variabilityanalysisinpm25monitoring AT pruthidimple variabilityanalysisinpm25monitoring |