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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...

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Autores principales: van Leuken, J. P. G., Swart, A. N., Droogers, P., van Pul, A., Heederik, D., Havelaar, A. H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2016
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.
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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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