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231225s2017 xx |||||o 00| ||eng c |
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|a 10.1016/j.wasman.2017.08.023
|2 doi
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|a pubmed24n0918.xml
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|a eng
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|a Douglas, P
|e verfasserin
|4 aut
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|a Use of dispersion modelling for Environmental Impact Assessment of biological air pollution from composting
|b Progress, problems and prospects
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|c 2017
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
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|a Date Completed 11.01.2018
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|a Date Revised 11.01.2018
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.
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|a With the increase in composting asa sustainable waste management option, biological air pollution (bioaerosols) from composting facilities have become a cause of increasing concern due to their potential health impacts. Estimating community exposure to bioaerosols is problematic due to limitations in current monitoring methods. Atmospheric dispersion modelling can be used to estimate exposure concentrations, however several issues arise from the lack of appropriate bioaerosol data to use as inputs into models, and the complexity of the emission sources at composting facilities. This paper analyses current progress in using dispersion models for bioaerosols, examines the remaining problems and provides recommendations for future prospects in this area. A key finding is the urgent need for guidance for model users to ensure consistent bioaerosol modelling practices
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|a Journal Article
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|a Review
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|a Bioaerosols
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|a Compost
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|a Dispersion modelling
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|a Environmental Impact Assessment
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|a Aerosols
|2 NLM
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|a Air Pollutants
|2 NLM
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|a Hayes, E T
|e verfasserin
|4 aut
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|a Williams, W B
|e verfasserin
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|a Tyrrel, S F
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|a Kinnersley, R P
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|a Walsh, K
|e verfasserin
|4 aut
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|a O'Driscoll, M
|e verfasserin
|4 aut
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|a Longhurst, P J
|e verfasserin
|4 aut
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|a Pollard, S J T
|e verfasserin
|4 aut
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|a Drew, G H
|e verfasserin
|4 aut
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|i Enthalten in
|t Waste management (New York, N.Y.)
|d 1999
|g 70(2017) vom: 19. Dez., Seite 22-29
|w (DE-627)NLM098197061
|x 1879-2456
|7 nnns
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| 773 |
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|g volume:70
|g year:2017
|g day:19
|g month:12
|g pages:22-29
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|u http://dx.doi.org/10.1016/j.wasman.2017.08.023
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