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UTGisthe equivalent air temperature othe reference condton causing the sme dyaicphysicogjcal response ‎Se a=‏ هكم ‎Meteorological 5‏ | 10 :1 اسه )1 ‎eae‏ 2( | 7 | ‎hniiy f ۳‏ 3 مع عم ‎J‏ | عيبا | ‎ety‏ ‎vag eh‏ ‎Clete‏ + ‎“TFT Yrs‏ ‎A= (6220)‏ ‎ ‎ ‎» UTCI > Fiala > ‏م ملعيو ‎ ‎ ‎

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Actual condition Actual condition humidity, wind, @ = Reference g radiation 1 8 00 | ۹ 7 2 8 ۱ 1 3 3 2 = I = Reference | Reference Ta ey Ta=ET!! Temperature Temperature Concept of deriving the equivalent temperature (ET) in the general case (left) and for an actual condition coinciding with the reference (right panel).

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ال سار elevati on Lb UTCI UTCIET(c) Vair UTC humidit ۱0 “ty

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Ray Man Bio Kilma Fic. 3, Relationship of measured mean radiant temperature Try. meseuemen and com- puted mean radiation temperature Tyr posed by RayMan for July 17°, 18", 19%, 25" and August 2" 2001 in Freiburg.

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ل ا ‎a‏ ‏1 1777-3 .21+0 .872 7+0 .2459 7474-2 .5078 17-0 .0176 7 ( درجه حرارت بر حسب *6) : ۲" ‎oy SZ? goog=((9+0.5.99+0.5. 00) 07.) +(-273)‏ حرارت تابشی بر حسب 6۴ ): ۷۲۵ ۲" 4 ( سرعت باد بر حسب متر بر ثانیه ): ۱۷ ( تابش خورشیدی جذب شده توسط انسان برهته) ؛ 14] ‏ریت تستین:بن جسب مزصدا‎ ue oS :) ‏تابش برگشتی ): ( تابش زمین‎ ( : ) ‏ضریب قابلیت انتشار برای انسان که برابر ۰.۹۵ است‎ ( ( ثابت استفان بولتزمان ) :

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بالاتر از ۲۶ 5۲655 ۳6۵۲ 6۲۲6۲۱6 ( تنش‌گرمایی‌شدید ) ۴۶۸ ۲655 6۵۲ 50۳۵09 ۷6۲۷ ( تتش‌گرمایی سیر زیاد ) ‎stress ۱۳۸۰۲‏ 6۵ 5۱۲0۵۳9 ( تشگ رمایی‌نید ) ‎YY EY?‏ 51۲655 06۵6 ۳۱۵06۲۵16( ت-نش‌گرماییمتوسط ) ‎no thermal stress ۲۶ ۹‏ )4244.4( .ت۹٩‏ 5۳655 ۵۱0 )وک( تش‌سرماییلندک) ‎Stress 37‏ 010 ۲۱۵06۲۵16( ت-نش‌سرمایی‌متوسط ) ) ‏تنشسرمایی‌زیاد‎ ( 50۲009 cold Stress -۱۳ ‏تا‎ ۷ ۴- تا ۲۷- 55 6۵10 5۱۲۵۳9 ۷6۵۲۷ ( تنش‌سرماییب سیر زیاد ) پایین تر از ۴۰ - 5۲655 ۰0۱0 6۲۲6۲۳0۵( تسنش‌سرملیی‌شدید )

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ارزيابى مقادير همبستكى و روابط ركرسيونى 101لا و ارتفاع ايستكاة ها

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آسایش حرارتی در فصل بهار : بیش ترین مساحت مکانی کشور ( حداقل و حداکثر روزهای آسایش به ترتیب ۲۰ و ۸۳ روز ) در توزیع قضایی روزهای بدون استرس حرارتی شاخص 21 آ لا بر اساس رویکرد فصلى. در فصل تابستان همدان حداکثر روزهای آسایش ( ۵۵ روز مناطق پست کشور کم رین روزهای آسایش ( ۴ روز )و مناطق کوهستانی و مرتفع از حداکثرروزهای آسایش ( ‎۷٩‏ روز )برخوردرند. افزایش روزهای آسایش حرارتی در فصل گرم و کاهش آن در فصل سرد سال اثرات قابل توجه ارتفاع و پراکنش توپوگرافی را در توزیع مقادیرانآ لا نشان می دهد.

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متغیرهای دمای خشک. دمای گویسان و دمای تر طبیعی در محیط مسقف یا شاخص های ۲1لا و ۷۷8۲ ارتباطی قوی و مستقیم دارند. سرعت جریان هوا در محیط مسقف با شاخص های ]لا و ۷۷585۲ ارتباطی قوی و معکوس دارند. متفیرهای دمای خشک. دمای گویسان و دمای تر طبیعی در محیط ر متوسط و مستقیم دارند. سرعت جریان هوا در محیط روباز با شاخص ۲6لا ارتباطی ضعیف دارد. در محیط سرپوشيده شاخص :)۲ لا با شاخص ۷۷963۲ ارتباطی مستقیم. قوی و معنی دار دارد ( 0.971 <۲ ) در محیط روباز شاخص انآ لا با شاخص ۷۷56۲ ۱ اطی مستقیم. متوسط و معتی دار دارد ( 0.544 ۲ )

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Mohammad Baaghideh 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 Bio klima soft wares 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 sianificant correlation between

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Parvin NASSIRI, Mohammad Reza MONAZZAM, Farideh GOLBABAEI Abstract : The purpose of this article is to examine the applicability of Universal Thermal Climate Index (UTCI) index as an innovative index for evaluating of occupational heat stress in outdoor environments. 175 workers of 12 open-pit mines in Tehran, Iran were selected for this research study. First, the environmental variables such as air temperature, wet-bulb temperature, globe temperature, relative humidity and air flow rate were measured; then UTCI, wet-bulb globe temperature (WBGT) and heat stress index (HSI) indices were calculated. Simultaneously, physiological parameters including heart rate, oral temperature, tympanic temperature and skin temperature of workers were measured. UTCI and WBGT are positively significantly correlated with all environmental parameters (p < 0.03), except for air velocity (r < -0.39; p > 0.05). Moreover, a strong significant relationship was found between UTCI and WBGT (r = 0.95; p < 0.001). The significant positive correlations exist between physiological parameters including oral temperature, tympanic and skin temperatures and heart rate and both the UTCI and WBGT indices (p < 0020). The. behest comaiation ‘cemictent hak beak Meeed Derwent UTCT and

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Javad VATANI, Farideh GOLBABAEI, Somayeh Farhang DEHGHAN Abstract: The present study aimed to investigate the applicability of Universal Thermal Climate Index (UTCI) as an innovative and science-based index in public health researches, in occupational heat stress assessment. All indoor and outdoor workers (200 people) of Brick industries of Shahroud , Iran participated in the research. First, the environmental variables such as air temperature, wet-bulb temperature, globe temperature, air velocity and relative humidity were measured; then UTCI and WBGT (wet-bulb globe temperature) indices were calculated. Simultaneously, physiological parameters including systolic and diastolic blood pressure, oral temperature, skin temperature, tympanic temperature and heart rate of workers were measured. UTCI and WBGT indices were 34.2 + 2°C, 21.8 + 1.8°C in the outdoor environments and 38.1 + 4.4°C, 24.7 + 3.3°C at the indoor environments, respectively. There were the weak inverse relationships between UTCI and WBGT indices at the outdoor environments and physiological responses such as systolic blood pressure, and diastolic blood pressure. However, there were no similar results for indoor environments. The significant relationships were found between UTCI and WBGT at both indoor and outdoor environments. ‏سوم د ند‎ an aT ‎ee‏ ی ای سس ل سس مستت تي ‎

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۳0 ۱ اه Scatter plot of Association between UTCI & WBGT in indoor and outdoor places. wecr

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Sajad Zare , Naser Hasheminejad , Hossein Elahi Shirvan , Rasoul Hemmatjo ,Keyvan Sarebanzadeh, Saeid Ahmadi Heat stress negatively influences human health and performance, and leading to lower efficiency in daily activities. The present study sought to examine the relationship between UTCI, other heat indices (SET, PET, PMV, PPD, and WBGT), and environmental parameters. Daily data, encompassing a 12 month period in 2016 (from 6 a.m. to 9 p.m. for each day), were retrieved from the Meteorological Organization of Kerman. The data were fed into SPSS 20, followed by conducting Pearson product moment correlation and linear regression to find the association between UTC! and other heat indices/environmental parameters. Excel 2016 was also utilized to draw the relevant diagrams. Significant correlations were detected between UTCI and other heat indices (SET, PET, PMV, and WBGT). UTCI also was measurably correlated with environmental parameters like dry temperature (P < 0.0001). The highest correlation coefficient was observed between UTCI and PET (r ¥4 0.96). UTCI also had strong correlations with WBGT (r = 0.88), SET (r = 0.87), and dry temperature (r = 0.90). Thus, indices that are calculated based on body thermal equation (i.e. SET and PET) are more strongly connected with UTCI, registering ‎sae‏ لان شويع ‎a a ek a a‏ > ووو ا یی

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او

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مس August 85 9 جد وم مس Maps of thermal bio climates in Europe as obtained from 38 years of ERA-Interim data for the summer months and at indicated daytimes. Colour code is that of UTCI heat stress classification

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هم بر و b waar ec) 60 40 ure! Ce) ure! coy 9 20 40 ec Universal thermal climate index (UTC!) vs indices used for hot climates: HI heat index, WBGT wet bulb globe temperature, Humidex. Solid line Regression, dashed line identity

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‎a 3 ©‏ ص مه وه وود ‎UTCI vs wind chill temperature (WCT) index. Solid line Regression, dashed line identity

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b 0 arco) 7 2 ۰ 3 0 3 03 ‏الاير‎ ural ¢0) UTCI vs simple bioclimatic indices. ET Effective temperature, AT apparent temperature. Solid line Regression, dashed line identity

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a, b UTCI vs indices derived from heat budget models. SET* Standardized effective temperature, PT perceived temperature, PET physiological equivalent temperature, PST physiological subjective temperature. Solid line Regression, dashed line identity

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Sumavalee Chindapol (2017) The elderly are particularly vulnerable to heatwaves and this research investigates the degree of thermal stress they experience and identifies a suitable index, using Thailand as the case study location. Several global heat stress indices were evaluated for their ability to predict thermal stress in the tropics: Universal Thermal Climate Index (UTCI), Heat Stress Index (HSI), Tropical Summer Index (TSI), Wet-bulb Globe Temperature Index (WBGT) and Discomfort Index (DI). The UTCI, WBGT and DI group tropical conditions in the zone of greater thermal stress, while the HSI and TSI are clustered in the lower stress categories and are more similar to the thermal sensation vote (TSV) and thermal comfort vote (TCV) definitions. Most indices correlated with the TSV, while only HSI and WBGT show a correlation with TCV. The research concluded that the HSI

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زا h Ley آنا > < Vair ۵ ZN elevati ‎on‏ ص هه مه مه و ‎UTCI‏ ‎ ‎ ‎ ‎ ‎Se ‎ ‎

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Q The ecological city: considering outdoor thermal environment Q Outdoor thermal comfort: Impact of the geometry of an urban street canyon ina Mediterranean subtropical climate Q Circadian rhythm and UTC!

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