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Actual condition Actual condition
humidity, wind, @ = Reference
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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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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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40
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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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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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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!