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      Assessing heat-related health risk in Europe via the Universal Thermal Climate Index (UTCI)

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          Abstract

          In this work, the potential of the Universal Thermal Climate Index (UTCI) as a heat-related health risk indicator in Europe is demonstrated. The UTCI is a bioclimate index that uses a multi-node human heat balance model to represent the heat stress induced by meteorological conditions to the human body. Using 38 years of meteorological reanalysis data, UTCI maps were computed to assess the thermal bioclimate of Europe for the summer season. Patterns of heat stress conditions and non-thermal stress regions are identified across Europe. An increase in heat stress up to 1 °C is observed during recent decades. Correlation with mortality data from 17 European countries revealed that the relationship between the UTCI and death counts depends on the bioclimate of the country, and death counts increase in conditions of moderate and strong stress, i.e., when UTCI is above 26 and 32 °C. The UTCI’s ability to represent mortality patterns is demonstrated for the 2003 European heatwave. These findings confirm the importance of UTCI as a bioclimatic index that is able to both capture the thermal bioclimatic variability of Europe, and relate such variability with the effects it has on human health.

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          Deriving the operational procedure for the Universal Thermal Climate Index (UTCI).

          The Universal Thermal Climate Index (UTCI) aimed for a one-dimensional quantity adequately reflecting the human physiological reaction to the multi-dimensionally defined actual outdoor thermal environment. The human reaction was simulated by the UTCI-Fiala multi-node model of human thermoregulation, which was integrated with an adaptive clothing model. Following the concept of an equivalent temperature, UTCI for a given combination of wind speed, radiation, humidity and air temperature was defined as the air temperature of the reference environment, which according to the model produces an equivalent dynamic physiological response. Operationalising this concept involved (1) the definition of a reference environment with 50% relative humidity (but vapour pressure capped at 20 hPa), with calm air and radiant temperature equalling air temperature and (2) the development of a one-dimensional representation of the multivariate model output at different exposure times. The latter was achieved by principal component analyses showing that the linear combination of 7 parameters of thermophysiological strain (core, mean and facial skin temperatures, sweat production, skin wettedness, skin blood flow, shivering) after 30 and 120 min exposure time accounted for two-thirds of the total variation in the multi-dimensional dynamic physiological response. The operational procedure was completed by a scale categorising UTCI equivalent temperature values in terms of thermal stress, and by providing simplified routines for fast but sufficiently accurate calculation, which included look-up tables of pre-calculated UTCI values for a grid of all relevant combinations of climate parameters and polynomial regression equations predicting UTCI over the same grid. The analyses of the sensitivity of UTCI to humidity, radiation and wind speed showed plausible reactions in the heat as well as in the cold, and indicate that UTCI may in this regard be universally useable in the major areas of research and application in human biometeorology.
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            UTCI-Fiala multi-node model of human heat transfer and temperature regulation.

            The UTCI-Fiala mathematical model of human temperature regulation forms the basis of the new Universal Thermal Climate Index (UTC). Following extensive validation tests, adaptations and extensions, such as the inclusion of an adaptive clothing model, the model was used to predict human temperature and regulatory responses for combinations of the prevailing outdoor climate conditions. This paper provides an overview of the underlying algorithms and methods that constitute the multi-node dynamic UTCI-Fiala model of human thermal physiology and comfort. Treated topics include modelling heat and mass transfer within the body, numerical techniques, modelling environmental heat exchanges, thermoregulatory reactions of the central nervous system, and perceptual responses. Other contributions of this special issue describe the validation of the UTCI-Fiala model against measured data and the development of the adaptive clothing model for outdoor climates.
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              The Sendai Framework for Disaster Risk Reduction: Renewing the Global Commitment to People’s Resilience, Health, and Well-being

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                Author and article information

                Contributors
                c.dinapoli@reading.ac.uk
                Journal
                Int J Biometeorol
                Int J Biometeorol
                International Journal of Biometeorology
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0020-7128
                1432-1254
                15 March 2018
                15 March 2018
                2018
                : 62
                : 7
                : 1155-1165
                Affiliations
                [1 ]ISNI 0000 0004 0457 9566, GRID grid.9435.b, Department of Geography and Environmental Science, , University of Reading, ; Reading, UK
                [2 ]ISNI 0000 0004 0457 8766, GRID grid.42781.38, Forecast Department, , European Centre for Medium-Range Weather Forecasts, ; Reading, UK
                [3 ]ISNI 0000 0004 0457 9566, GRID grid.9435.b, Department of Meteorology, , University of Reading, ; Reading, UK
                [4 ]ISNI 0000 0004 1936 9457, GRID grid.8993.b, Department of Earth Sciences, , Uppsala University, ; Uppsala, Sweden
                [5 ]Centre of Natural Hazards and Disaster Science, CNDS, Uppsala, Sweden
                Author information
                http://orcid.org/0000-0002-4901-3641
                Article
                1518
                10.1007/s00484-018-1518-2
                6028891
                29546489
                0037beca-d940-425f-8627-bd029c2a264a
                © The Author(s) 2018

                Open Access This 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.

                History
                : 13 October 2017
                : 12 January 2018
                : 19 February 2018
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100007601, Horizon 2020;
                Award ID: 700099
                Categories
                Original Paper
                Custom metadata
                © ISB 2018

                Atmospheric science & Climatology
                universal thermal climate index (utci),nwp,thermal health hazard,heat stress,mortality,bioclimatology

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