Cargando…

Sources of variation for indoor nitrogen dioxide in rural residences of Ethiopia

BACKGROUND: Unprocessed biomass fuel is the primary source of indoor air pollution (IAP) in developing countries. The use of biomass fuel has been linked with acute respiratory infections. This study assesses sources of variations associated with the level of indoor nitrogen dioxide (NO(2)). MATERIA...

Descripción completa

Detalles Bibliográficos
Autores principales: Kumie, Abera, Emmelin, Anders, Wahlberg, Sonny, Berhane, Yemane, Ali, Ahmed, Mekonen, Eyassu, Worku, Alemayehu, Brandstrom, Doris
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2784451/
https://www.ncbi.nlm.nih.gov/pubmed/19922645
http://dx.doi.org/10.1186/1476-069X-8-51
_version_ 1782174748042592256
author Kumie, Abera
Emmelin, Anders
Wahlberg, Sonny
Berhane, Yemane
Ali, Ahmed
Mekonen, Eyassu
Worku, Alemayehu
Brandstrom, Doris
author_facet Kumie, Abera
Emmelin, Anders
Wahlberg, Sonny
Berhane, Yemane
Ali, Ahmed
Mekonen, Eyassu
Worku, Alemayehu
Brandstrom, Doris
author_sort Kumie, Abera
collection PubMed
description BACKGROUND: Unprocessed biomass fuel is the primary source of indoor air pollution (IAP) in developing countries. The use of biomass fuel has been linked with acute respiratory infections. This study assesses sources of variations associated with the level of indoor nitrogen dioxide (NO(2)). MATERIALS AND METHODS: This study examines household factors affecting the level of indoor pollution by measuring NO(2). Repeated measurements of NO(2 )were made using a passive diffusive sampler. A Saltzman colorimetric method using a spectrometer calibrated at 540 nm was employed to analyze the mass of NO(2 )on the collection filter that was then subjected to a mass transfer equation to calculate the level of NO(2 )for the 24 hours of sampling duration. Structured questionnaire was used to collect data on fuel use characteristics. Data entry and cleaning was done in EPI INFO version 6.04, while data was analyzed using SPSS version 15.0. Analysis of variance, multiple linear regression and linear mixed model were used to isolate determining factors contributing to the variation of NO(2 )concentration. RESULTS: A total of 17,215 air samples were fully analyzed during the study period. Wood and crop were principal source of household energy. Biomass fuel characteristics were strongly related to indoor NO(2 )concentration in one-way analysis of variance. There was variation in repeated measurements of indoor NO(2 )over time. In a linear mixed model regression analysis, highland setting, wet season, cooking, use of fire events at least twice a day, frequency of cooked food items, and interaction between ecology and season were predictors of indoor NO(2 )concentration. The volume of the housing unit and the presence of kitchen showed little relevance in the level of NO(2 )concentration. CONCLUSION: Agro-ecology, season, purpose of fire events, frequency of fire activities, frequency of cooking and physical conditions of housing are predictors of NO(2 )concentration. Improved kitchen conditions and ventilation are highly recommended.
format Text
id pubmed-2784451
institution National Center for Biotechnology Information
language English
publishDate 2009
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-27844512009-11-27 Sources of variation for indoor nitrogen dioxide in rural residences of Ethiopia Kumie, Abera Emmelin, Anders Wahlberg, Sonny Berhane, Yemane Ali, Ahmed Mekonen, Eyassu Worku, Alemayehu Brandstrom, Doris Environ Health Research BACKGROUND: Unprocessed biomass fuel is the primary source of indoor air pollution (IAP) in developing countries. The use of biomass fuel has been linked with acute respiratory infections. This study assesses sources of variations associated with the level of indoor nitrogen dioxide (NO(2)). MATERIALS AND METHODS: This study examines household factors affecting the level of indoor pollution by measuring NO(2). Repeated measurements of NO(2 )were made using a passive diffusive sampler. A Saltzman colorimetric method using a spectrometer calibrated at 540 nm was employed to analyze the mass of NO(2 )on the collection filter that was then subjected to a mass transfer equation to calculate the level of NO(2 )for the 24 hours of sampling duration. Structured questionnaire was used to collect data on fuel use characteristics. Data entry and cleaning was done in EPI INFO version 6.04, while data was analyzed using SPSS version 15.0. Analysis of variance, multiple linear regression and linear mixed model were used to isolate determining factors contributing to the variation of NO(2 )concentration. RESULTS: A total of 17,215 air samples were fully analyzed during the study period. Wood and crop were principal source of household energy. Biomass fuel characteristics were strongly related to indoor NO(2 )concentration in one-way analysis of variance. There was variation in repeated measurements of indoor NO(2 )over time. In a linear mixed model regression analysis, highland setting, wet season, cooking, use of fire events at least twice a day, frequency of cooked food items, and interaction between ecology and season were predictors of indoor NO(2 )concentration. The volume of the housing unit and the presence of kitchen showed little relevance in the level of NO(2 )concentration. CONCLUSION: Agro-ecology, season, purpose of fire events, frequency of fire activities, frequency of cooking and physical conditions of housing are predictors of NO(2 )concentration. Improved kitchen conditions and ventilation are highly recommended. BioMed Central 2009-11-18 /pmc/articles/PMC2784451/ /pubmed/19922645 http://dx.doi.org/10.1186/1476-069X-8-51 Text en Copyright ©2009 Kumie et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Kumie, Abera
Emmelin, Anders
Wahlberg, Sonny
Berhane, Yemane
Ali, Ahmed
Mekonen, Eyassu
Worku, Alemayehu
Brandstrom, Doris
Sources of variation for indoor nitrogen dioxide in rural residences of Ethiopia
title Sources of variation for indoor nitrogen dioxide in rural residences of Ethiopia
title_full Sources of variation for indoor nitrogen dioxide in rural residences of Ethiopia
title_fullStr Sources of variation for indoor nitrogen dioxide in rural residences of Ethiopia
title_full_unstemmed Sources of variation for indoor nitrogen dioxide in rural residences of Ethiopia
title_short Sources of variation for indoor nitrogen dioxide in rural residences of Ethiopia
title_sort sources of variation for indoor nitrogen dioxide in rural residences of ethiopia
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2784451/
https://www.ncbi.nlm.nih.gov/pubmed/19922645
http://dx.doi.org/10.1186/1476-069X-8-51
work_keys_str_mv AT kumieabera sourcesofvariationforindoornitrogendioxideinruralresidencesofethiopia
AT emmelinanders sourcesofvariationforindoornitrogendioxideinruralresidencesofethiopia
AT wahlbergsonny sourcesofvariationforindoornitrogendioxideinruralresidencesofethiopia
AT berhaneyemane sourcesofvariationforindoornitrogendioxideinruralresidencesofethiopia
AT aliahmed sourcesofvariationforindoornitrogendioxideinruralresidencesofethiopia
AT mekoneneyassu sourcesofvariationforindoornitrogendioxideinruralresidencesofethiopia
AT workualemayehu sourcesofvariationforindoornitrogendioxideinruralresidencesofethiopia
AT brandstromdoris sourcesofvariationforindoornitrogendioxideinruralresidencesofethiopia