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Climate change effects on airborne pathogenic bioaerosol concentrations: a scenario analysis
The most recent IPCC report presented further scientific evidence for global climate change in the twenty-first century. Important secondary effects of climate change include those on water resource availability, agricultural yields, urban healthy living, biodiversity, ecosystems, food security, and...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5106502/ https://www.ncbi.nlm.nih.gov/pubmed/27890966 http://dx.doi.org/10.1007/s10453-016-9435-5 |
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author | van Leuken, J. P. G. Swart, A. N. Droogers, P. van Pul, A. Heederik, D. Havelaar, A. H. |
author_facet | van Leuken, J. P. G. Swart, A. N. Droogers, P. van Pul, A. Heederik, D. Havelaar, A. H. |
author_sort | van Leuken, J. P. G. |
collection | PubMed |
description | The most recent IPCC report presented further scientific evidence for global climate change in the twenty-first century. Important secondary effects of climate change include those on water resource availability, agricultural yields, urban healthy living, biodiversity, ecosystems, food security, and public health. The aim of this explorative study was to determine the range of expected airborne pathogen concentrations during a single outbreak or release in a future climate compared to a historical climatic period (1981–2010). We used five climate scenarios for the periods 2016–2045 and 2036–2065 defined by the Royal Netherlands Meteorological Institute and two conversion tools to create hourly future meteorological data sets. We modelled season-averaged airborne pathogen concentrations by means of an atmospheric dispersion model and compared these data to historical (1981–2010) modelled concentrations. Our results showed that modelled concentrations were modified several percentage points on average as a result of climate change. On average, concentrations were reduced in four out of five scenarios. Wind speed and global radiation were of critical importance, which determine horizontal and vertical dilution. Modelled concentrations decreased on average, but large positive and negative hourly averaged effects were calculated (from −67 to +639 %). This explorative study shows that further research should include pathogen inactivation and more detailed probability functions on precipitation, snow, and large-scale circulation. |
format | Online Article Text |
id | pubmed-5106502 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-51065022016-11-25 Climate change effects on airborne pathogenic bioaerosol concentrations: a scenario analysis van Leuken, J. P. G. Swart, A. N. Droogers, P. van Pul, A. Heederik, D. Havelaar, A. H. Aerobiologia (Bologna) Original Paper The most recent IPCC report presented further scientific evidence for global climate change in the twenty-first century. Important secondary effects of climate change include those on water resource availability, agricultural yields, urban healthy living, biodiversity, ecosystems, food security, and public health. The aim of this explorative study was to determine the range of expected airborne pathogen concentrations during a single outbreak or release in a future climate compared to a historical climatic period (1981–2010). We used five climate scenarios for the periods 2016–2045 and 2036–2065 defined by the Royal Netherlands Meteorological Institute and two conversion tools to create hourly future meteorological data sets. We modelled season-averaged airborne pathogen concentrations by means of an atmospheric dispersion model and compared these data to historical (1981–2010) modelled concentrations. Our results showed that modelled concentrations were modified several percentage points on average as a result of climate change. On average, concentrations were reduced in four out of five scenarios. Wind speed and global radiation were of critical importance, which determine horizontal and vertical dilution. Modelled concentrations decreased on average, but large positive and negative hourly averaged effects were calculated (from −67 to +639 %). This explorative study shows that further research should include pathogen inactivation and more detailed probability functions on precipitation, snow, and large-scale circulation. Springer Netherlands 2016-03-24 2016 /pmc/articles/PMC5106502/ /pubmed/27890966 http://dx.doi.org/10.1007/s10453-016-9435-5 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Paper van Leuken, J. P. G. Swart, A. N. Droogers, P. van Pul, A. Heederik, D. Havelaar, A. H. Climate change effects on airborne pathogenic bioaerosol concentrations: a scenario analysis |
title | Climate change effects on airborne pathogenic bioaerosol concentrations: a scenario analysis |
title_full | Climate change effects on airborne pathogenic bioaerosol concentrations: a scenario analysis |
title_fullStr | Climate change effects on airborne pathogenic bioaerosol concentrations: a scenario analysis |
title_full_unstemmed | Climate change effects on airborne pathogenic bioaerosol concentrations: a scenario analysis |
title_short | Climate change effects on airborne pathogenic bioaerosol concentrations: a scenario analysis |
title_sort | climate change effects on airborne pathogenic bioaerosol concentrations: a scenario analysis |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5106502/ https://www.ncbi.nlm.nih.gov/pubmed/27890966 http://dx.doi.org/10.1007/s10453-016-9435-5 |
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