The role of building models in the evaluation of heat-related risks
Hazard–risk relationships in epidemiological studies are generally based on the outdoor climate, despite the fact that most of humans' lifetime is spent indoors. By coupling indoor and outdoor climates with a building model, the risk concept developed can still be based on the outdoor...
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2016-04-01
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doaj-d33a00b9836b4fc89c4210941ad998b02020-11-25T01:06:11ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812016-04-0116496397610.5194/nhess-16-963-2016The role of building models in the evaluation of heat-related risksO. Buchin0B. Jänicke1F. Meier2D. Scherer3F. Ziegler4Institut für Energietechnik, Technische Universität Berlin, Berlin, GermanyInstitut für Ökologie, Technische Universität Berlin, Berlin, GermanyInstitut für Ökologie, Technische Universität Berlin, Berlin, GermanyInstitut für Ökologie, Technische Universität Berlin, Berlin, GermanyInstitut für Energietechnik, Technische Universität Berlin, Berlin, GermanyHazard–risk relationships in epidemiological studies are generally based on the outdoor climate, despite the fact that most of humans' lifetime is spent indoors. By coupling indoor and outdoor climates with a building model, the risk concept developed can still be based on the outdoor conditions but also includes exposure to the indoor climate. The influence of non-linear building physics and the impact of air conditioning on heat-related risks can be assessed in a plausible manner using this risk concept. <br><br> For proof of concept, the proposed risk concept is compared to a traditional risk analysis. As an example, daily and city-wide mortality data of the age group 65 and older in Berlin, Germany, for the years 2001–2010 are used. Four building models with differing complexity are applied in a time-series regression analysis. This study shows that indoor hazard better explains the variability in the risk data compared to outdoor hazard, depending on the kind of building model. Simplified parameter models include the main non-linear effects and are proposed for the time-series analysis. The concept shows that the definitions of heat events, lag days, and acclimatization in a traditional hazard–risk relationship are influenced by the characteristics of the prevailing building stock.http://www.nat-hazards-earth-syst-sci.net/16/963/2016/nhess-16-963-2016.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
O. Buchin B. Jänicke F. Meier D. Scherer F. Ziegler |
spellingShingle |
O. Buchin B. Jänicke F. Meier D. Scherer F. Ziegler The role of building models in the evaluation of heat-related risks Natural Hazards and Earth System Sciences |
author_facet |
O. Buchin B. Jänicke F. Meier D. Scherer F. Ziegler |
author_sort |
O. Buchin |
title |
The role of building models in the evaluation of heat-related risks |
title_short |
The role of building models in the evaluation of heat-related risks |
title_full |
The role of building models in the evaluation of heat-related risks |
title_fullStr |
The role of building models in the evaluation of heat-related risks |
title_full_unstemmed |
The role of building models in the evaluation of heat-related risks |
title_sort |
role of building models in the evaluation of heat-related risks |
publisher |
Copernicus Publications |
series |
Natural Hazards and Earth System Sciences |
issn |
1561-8633 1684-9981 |
publishDate |
2016-04-01 |
description |
Hazard–risk relationships in epidemiological studies are generally based on
the outdoor climate, despite the fact that most of humans' lifetime is spent
indoors. By coupling indoor and outdoor climates with a building model, the
risk concept developed can still be based on the outdoor conditions but also
includes exposure to the indoor climate. The influence of non-linear building
physics and the impact of air conditioning on heat-related risks can be
assessed in a plausible manner using this risk concept.
<br><br>
For proof of concept, the proposed risk concept is compared to a traditional
risk analysis. As an example, daily and city-wide mortality data of the age
group 65 and older in Berlin, Germany, for the years 2001–2010 are used. Four
building models with differing complexity are applied in a time-series
regression analysis. This study shows that indoor hazard better explains the
variability in the risk data compared to outdoor hazard, depending on the
kind of building model. Simplified parameter models include the main
non-linear effects and are proposed for the time-series analysis. The concept
shows that the definitions of heat events, lag days, and acclimatization in a
traditional hazard–risk relationship are influenced by the characteristics of
the prevailing building stock. |
url |
http://www.nat-hazards-earth-syst-sci.net/16/963/2016/nhess-16-963-2016.pdf |
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