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Data analysis on the level of exposure to pollutions in industrial zone: A case study of Ewekoro and Ota Township
This study focused on a comparative analysis of exposure to pollution in Ota and Ewekoro Township where we have concentration of industries that emits pollutant to the air. This was with a view to proffer solution to the negative effects of industrial activities on residents within industrial locati...
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/PMC5997909/ https://www.ncbi.nlm.nih.gov/pubmed/29900383 http://dx.doi.org/10.1016/j.dib.2018.05.078 |
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author | Fayomi, G.U. Wusu, O. Mini, S.E. Fayomi, O.S.I. Kilanko, O. |
author_facet | Fayomi, G.U. Wusu, O. Mini, S.E. Fayomi, O.S.I. Kilanko, O. |
author_sort | Fayomi, G.U. |
collection | PubMed |
description | This study focused on a comparative analysis of exposure to pollution in Ota and Ewekoro Township where we have concentration of industries that emits pollutant to the air. This was with a view to proffer solution to the negative effects of industrial activities on residents within industrial location. The study involved empirical observation and interview of residents. About 652 questionnaires were administered randomly on the residents. Analysis involved descriptive statistical tools including chi-square techniques. The results suggest that air pollution was most frequently reported in Ewekoro and Ota and this can help in the prediction of stringent factor in which industrial activities could pose to society. |
format | Online Article Text |
id | pubmed-5997909 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-59979092018-06-13 Data analysis on the level of exposure to pollutions in industrial zone: A case study of Ewekoro and Ota Township Fayomi, G.U. Wusu, O. Mini, S.E. Fayomi, O.S.I. Kilanko, O. Data Brief Environmental Science This study focused on a comparative analysis of exposure to pollution in Ota and Ewekoro Township where we have concentration of industries that emits pollutant to the air. This was with a view to proffer solution to the negative effects of industrial activities on residents within industrial location. The study involved empirical observation and interview of residents. About 652 questionnaires were administered randomly on the residents. Analysis involved descriptive statistical tools including chi-square techniques. The results suggest that air pollution was most frequently reported in Ewekoro and Ota and this can help in the prediction of stringent factor in which industrial activities could pose to society. Elsevier 2018-05-18 /pmc/articles/PMC5997909/ /pubmed/29900383 http://dx.doi.org/10.1016/j.dib.2018.05.078 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 Fayomi, G.U. Wusu, O. Mini, S.E. Fayomi, O.S.I. Kilanko, O. Data analysis on the level of exposure to pollutions in industrial zone: A case study of Ewekoro and Ota Township |
title | Data analysis on the level of exposure to pollutions in industrial zone: A case study of Ewekoro and Ota Township |
title_full | Data analysis on the level of exposure to pollutions in industrial zone: A case study of Ewekoro and Ota Township |
title_fullStr | Data analysis on the level of exposure to pollutions in industrial zone: A case study of Ewekoro and Ota Township |
title_full_unstemmed | Data analysis on the level of exposure to pollutions in industrial zone: A case study of Ewekoro and Ota Township |
title_short | Data analysis on the level of exposure to pollutions in industrial zone: A case study of Ewekoro and Ota Township |
title_sort | data analysis on the level of exposure to pollutions in industrial zone: a case study of ewekoro and ota township |
topic | Environmental Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5997909/ https://www.ncbi.nlm.nih.gov/pubmed/29900383 http://dx.doi.org/10.1016/j.dib.2018.05.078 |
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