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Data on evaluation of AQI for different season in Kerman, Iran, 2015
The purpose of this data, was to evaluate the air quality index of Kerman city in different season of 2015. The data showed that the PM(10) and O(3) were highest in the winter season and PM(2.5), CO, SO(2) and NO(2) in the spring season as the air quality indexes. The highest number of unhealthy day...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6171083/ https://www.ncbi.nlm.nih.gov/pubmed/30294644 http://dx.doi.org/10.1016/j.dib.2018.08.216 |
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author | Heidarinejad, Zoha Kavosi, Ali Mousapour, Hassan Daryabor, Mohammad Reza Radfard, Majid Abdolshahi, Anna |
author_facet | Heidarinejad, Zoha Kavosi, Ali Mousapour, Hassan Daryabor, Mohammad Reza Radfard, Majid Abdolshahi, Anna |
author_sort | Heidarinejad, Zoha |
collection | PubMed |
description | The purpose of this data, was to evaluate the air quality index of Kerman city in different season of 2015. The data showed that the PM(10) and O(3) were highest in the winter season and PM(2.5), CO, SO(2) and NO(2) in the spring season as the air quality indexes. The highest number of unhealthy days was observed in spring in relation to PM(2.5) and PM(10) pollutants. The data showed that 33 and 9 days of the spring season had unfavorable conditions in relation PM(2.5) and PM(10) pollutants respectively. Therefore, the pollutant responsible for air pollution in Kerman was PM(2.5). By comparing the air quality index in different seasons of 2015 in terms of different pollutants, it was found that in most of the seasons, Kerman has a desirable air quality index. |
format | Online Article Text |
id | pubmed-6171083 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-61710832018-10-05 Data on evaluation of AQI for different season in Kerman, Iran, 2015 Heidarinejad, Zoha Kavosi, Ali Mousapour, Hassan Daryabor, Mohammad Reza Radfard, Majid Abdolshahi, Anna Data Brief Environmental Science The purpose of this data, was to evaluate the air quality index of Kerman city in different season of 2015. The data showed that the PM(10) and O(3) were highest in the winter season and PM(2.5), CO, SO(2) and NO(2) in the spring season as the air quality indexes. The highest number of unhealthy days was observed in spring in relation to PM(2.5) and PM(10) pollutants. The data showed that 33 and 9 days of the spring season had unfavorable conditions in relation PM(2.5) and PM(10) pollutants respectively. Therefore, the pollutant responsible for air pollution in Kerman was PM(2.5). By comparing the air quality index in different seasons of 2015 in terms of different pollutants, it was found that in most of the seasons, Kerman has a desirable air quality index. Elsevier 2018-09-12 /pmc/articles/PMC6171083/ /pubmed/30294644 http://dx.doi.org/10.1016/j.dib.2018.08.216 Text en © 2018 The Authors 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 Heidarinejad, Zoha Kavosi, Ali Mousapour, Hassan Daryabor, Mohammad Reza Radfard, Majid Abdolshahi, Anna Data on evaluation of AQI for different season in Kerman, Iran, 2015 |
title | Data on evaluation of AQI for different season in Kerman, Iran, 2015 |
title_full | Data on evaluation of AQI for different season in Kerman, Iran, 2015 |
title_fullStr | Data on evaluation of AQI for different season in Kerman, Iran, 2015 |
title_full_unstemmed | Data on evaluation of AQI for different season in Kerman, Iran, 2015 |
title_short | Data on evaluation of AQI for different season in Kerman, Iran, 2015 |
title_sort | data on evaluation of aqi for different season in kerman, iran, 2015 |
topic | Environmental Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6171083/ https://www.ncbi.nlm.nih.gov/pubmed/30294644 http://dx.doi.org/10.1016/j.dib.2018.08.216 |
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