چکیده:
The Universal Thermal Climate Index (UTCI) addresses these shortcomings by using an advanced thermo-physiological model. The aim of this study was to investigate and prepare zoning of thermal comfort condition using UTCI. Meteorological data including temperature, wind speed, cloudiness and relative humidity were obtained on a daily time scale from 10 synoptic stations during (2004-2013) period. For the calculation of UTCI index Ryman and Bioklima softwares were used. Then the relationship between UTCI and elevation was investigated and by using Digital Elevation Model (DEM), UTCI zoning was prepared. The results showed that there is a strong inverse relationship between UTCI and elevation. Spatial and temporal zoning maps showed the highest values of UTCI were observed in the northeastern part of province (Sarakhs station) on July. In the cold months the lowest values of UTCI has been recorded in January. Extreme heat stress was observed across the East, South and South-East of Khorasan Razavi province. While cold stress has been more dominant In the Central and northern areas of the province. Generally there is a significant correlation between the thermal comfort and elevation, so that thermal stresses are often observed in the low regions in the warm period of the year.
خلاصه ماشینی:
"Abbreviation UTCI: Universal Thermal Climate Index DEM: Digital Elevation Model PET: Physiologically Equivalent Temperature MEMI: Munich Energy-Balance Model for Individuals PT: Perceived Temperature ISB: International Society of Biometeorology COST: Cooperation in Science and Technical Development Mrt: Mean radiant temperature Corresponding Author: fmayvaneh@yahoo.
Human thermal comfort models, on the other hand, consider in addition to atmospheric parameters (air temperature, water vapor pressure, wind speed and mean radiant temperature (Kántor & Unger, 2011)) complex metabolic processes including physical activity level and clothing insulation.
In order to determine thermal stress, several factors, including air temperature, wind velocity, water vapor pressure, short- and long-wave radiant fluxes, physiological strain, behavior and the autonomous human thermoregulatory system, need to be considered (Havenith, 2001; Jendritzky et al.
The Universal Thermal Climate Index (UTCI) aims to assess outdoor thermal conditions in the major fields of human biometeorology in terms of a one-dimensional quantity summarizing the interaction of environmental temperature, wind speed, and humidity, and of the long wave and short-wave radiant heat fluxes.
The geographical location of Khorasan Razavi Province, Iran Since 2005, these efforts have been reinforced by European COST (Cooperation in Science and Technical Development) Action 730, which has brought together leading experts in the areas of human thermo physiology, physiological modelling, meteorology and climatology, with a view to the Universal Thermal Climate Index, UTCI, being developed The UTCI is defined as the air temperature (Ta) of the reference condition causing the same model response as actual conditions (Blazejczyk et al."