scholarly journals Skin Temperature Distribution on Simulation Thermal Effects Under Construction Climate

2021 ◽  
Vol 86 (1) ◽  
pp. 154-163
Author(s):  
Ahmad Rasdan Ismail ◽  
Norfadzilah Jusoh ◽  
Nor Kamilah Makhtar ◽  
Raemy Md Zain ◽  
Nurul Husna Che Hassan ◽  
...  
Keyword(s):  
Relative Humidity ◽  
Skin Temperature ◽  
Heat Waves ◽  
Computational Simulation ◽  
Thermal Conditions ◽  
Control Measures ◽  
Outdoor Environment ◽  
Heat Index ◽  
Continuous Exposure ◽  
Heat Risk

Global warming is bringing more frequent and severe heat waves. Construction workers are particularly vulnerable to heat risk due to the job culture in the outdoor environment. Unrestrained heat has extreme effects on skin temperature, which will lead to low performance and also results to injuries and fatalities. This study aims to investigate the distribution of skin surface temperature under seven different thermal conditions involving variations in temperature and relative humidity. The computational simulation models based on real construction climate were developed. Simulation results showed the highest heat index (a combination of temperature/relative humidity) is at 34 oC/92% and 38 oC/83% and fall under extreme danger category. At this level, the models were experienced high heat/sunstroke continuous exposure. This study also indicated that skin temperature has significantly in?uenced by the hot and humid environment. It is hoped that this study is able to provide guidance and reference to the industry, especially the construction sector by providing appropriate control measures to overcome the issue of heat risk among workers.

scholarly journals Heat Waves in the City of Gaziantep in Turkey

2017 ◽  
Vol 6 (1) ◽  
pp. 131
Author(s):  
Gülşen Kum
Keyword(s):  
Climate Change ◽  
Heat Waves ◽  
Global Climate ◽  
Thermal Conditions ◽  
Apparent Temperature ◽  
Heat Index ◽  
Index Method ◽  
Temperature Method ◽  
The Impact ◽  
The City

In this study, the duration, frequency and the impact of heat waves on comfort conditions, experienced particularly in the summers, have been examined with the purpose of revealing how the annual and monthly temperatures in Gaziantep, a city located in the South Eastern district of Turkey, are affected by the global climate change. Initially, the data on minimum, maximum and average heat in the period from 1940 to 2015, retrieved from the Meteorological Station in the city center, were analyzed using the Mann-Kendall trend analysis, which is a non-parametric test, and the increase/decrease trends in temperature parameters were determined. Afterwards, the impact of heat waves on the comfort levels was demonstrated using the ''Heat Index (apparent temperature)'' method by Steadman (1979), analyzing the heat waves that are predicted to increase in rate and frequency with the climate change, even though the statistical distributions remain the same. According to the results produced by the Heat Index method, it is estimated that the temperatures in the region will shift towards a warmer climate in terms of thermal conditions. It is believed that this study will be highly instrumental in prompting necessary precautions to avert the heat waves reaching a disaster level in Gaziantep, which is located in a position susceptible to heat waves due to its latitude and geographical conditions.

scholarly journals Global Heat Wave Hazard Considering Humidity Effects during the 21st Century

2019 ◽  
Vol 16 (9) ◽  
pp. 1513 ◽  
Author(s):  
Xi Chen ◽  
Ning Li ◽  
Jiawei Liu ◽  
Zhengtao Zhang ◽  
Yuan Liu
Keyword(s):  
Relative Humidity ◽  
Heat Wave ◽  
Air Temperature ◽  
Greenhouse Gas Emission ◽  
Heat Waves ◽  
Surface Air Temperature ◽  
Heat Index ◽  
Humidity Effects ◽  
The Difference ◽  
Heat Hazard

Humidity is a significant factor contributing to heat stress, but without enough consideration in studies of quantifying heat hazard or heat risk assessment. Here, the simplified wet-bulb globe temperature (WBGT) considering joint effects of temperature and humidity was utilized as a heat index and the number of annual total heat wave days (HWDs) was employed to quantify heat hazard. In order to evaluate the humidity effects on heat waves, we quantified the difference in the number of HWDs over global land based on air temperature and WBGT. Spatial and temporal changes in surface air temperature, relative humidity, WBGT, and the difference in HWDs were analyzed using multi-model simulations for the reference period (1986–2005) and different greenhouse gas emission scenarios. Our analysis suggests that annual mean WBGT has been increasing since 1986, which is consistent with the rising trend in surface air temperature despite a slight decrease in relative humidity. Additionally, changes in annual mean WBGT are smaller and more spatially uniform than those in annual mean air temperature as a cancelation effect between temperature and water vapor. Results show that there is an underestimation of around 40–140 days in the number of HWDs per year in most regions within 15° latitude of the equator (the humid and warm tropics) during 2076–2095 without considering humidity effects. However, the estimation of HWDs has limited distinction between using WBGT and temperature alone in arid or cold regions.

scholarly journals Retrospection of Heatwave and Heat Index: A Case Study using ERA5 Dataset

2021 ◽  
Author(s):  
Amit Awasthi ◽  
Kirti Vishwakarma ◽  
Kanhu Charan Pattnayak
Keyword(s):  
Relative Humidity ◽  
Heat Waves ◽  
Extreme Temperature ◽  
Surface Air Temperature ◽  
Climatic Conditions ◽  
Heat Index ◽  
The World ◽  
Definition Of ◽  
Different Parts

Abstract The frequency and intensity of extreme events especially Heat Waves (HW) are growing all around the world which ultimately poses a serious threat to the health of individuals. To quantify the effects of extreme temperature, appropriate information, and the importance of HW and Heat Index (HI) are carefully discussed for different parts of the world. Varied definitions of the HW and HI formula proposed and used by different countries are carried out systematically continent-wise. Different studies highlighted the number of definitions of HW, however mostly used Steadman’s formulae for the calculation of HI that uses surface air temperature and relative humidity as climatic fields which was developed in the late 1970s. Since then, dramatic changes in climatic conditions have been observed as evident from the ERA5 datasets which need to be addressed. Likewise, the definition of HW, which is modified by the researchers as per the geographic conditions, necessary modification in Steadman’s equation also needs to be done. This study will help the researcher community to understand the importance of HW and HI and think about its modification which further helps in better adaptation and application. Furthermore, it opens the scope to develop an equation based on the present scenario keeping in mind the basics of an index as considered by Steadman.

scholarly journals Retrospection of heatwave and heat index

2021 ◽  
Author(s):  
Amit Awasthi ◽  
Kirti Vishwakarma ◽  
Kanhu Charan Pattnayak
Keyword(s):  
Relative Humidity ◽  
Heat Waves ◽  
Extreme Temperature ◽  
Surface Air Temperature ◽  
Climatic Conditions ◽  
Heat Index ◽  
Threefold Increase ◽  
The World ◽  
Definition Of ◽  
Different Parts

AbstractThe frequency and intensity of extreme events especially heat waves (HW) are growing all around the world which ultimately poses a serious threat to the health of individuals. To quantify the effects of extreme temperature, appropriate information, and the importance of HW and heat index (HI) are carefully discussed for different parts of the world. Varied definitions of the HW and HI formula proposed and used by different countries are carried out systematically continent-wise. Different studies highlighted the number of definitions of HW; however, mostly used Steadman’s formulae, which was developed in the late 1970s, for the calculation of HI that uses surface air temperature and relative humidity as climatic fields. Since then, dramatic changes in climatic conditions have been observed as evident from the ERA5 datasets which need to be addressed; likewise, the definition of HW, which is modified by the researchers as per the geographic conditions. It is evident from the ERA5 data that the temperature has increased by 1–2 °C as compared to the 1980s. There is a threefold increase in the number of heatwave days over most of the continents in the last 40 years. This study will help the researcher community to understand the importance of HW and HI. Furthermore, it opens the scope to develop an equation based on the present scenario keeping in mind the basics of an index as considered by Steadman.

Stochastic simulation of the spatio-temporal field of the average daily heat index in Southern Russia

2020 ◽  
Vol 82 ◽  
pp. 149-160
Author(s):  
N Kargapolova
Keyword(s):  
Heat Waves ◽  
Numerical Models ◽  
Heat Index ◽  
Real Field ◽  
Gaussian Field ◽  
The Real ◽  
Southern Russia ◽  
Weather Stations ◽  
Spatio Temporal ◽  
Temporal Field

Numerical models of the heat index time series and spatio-temporal fields can be used for a variety of purposes, from the study of the dynamics of heat waves to projections of the influence of future climate on humans. To conduct these studies one must have efficient numerical models that successfully reproduce key features of the real weather processes. In this study, 2 numerical stochastic models of the spatio-temporal non-Gaussian field of the average daily heat index (ADHI) are considered. The field is simulated on an irregular grid determined by the location of weather stations. The first model is based on the method of the inverse distribution function. The second model is constructed using the normalization method. Real data collected at weather stations located in southern Russia are used to both determine the input parameters and to verify the proposed models. It is shown that the first model reproduces the properties of the real field of the ADHI more precisely compared to the second one, but the numerical implementation of the first model is significantly more time consuming. In the future, it is intended to transform the models presented to a numerical model of the conditional spatio-temporal field of the ADHI defined on a dense spatio-temporal grid and to use the model constructed for the stochastic forecasting of the heat index.

scholarly journals The Effect Of Outside Corridor’s Orientation to Interior Thermal Condition at Lawang Sewu Semarang.

2018 ◽  
Vol 73 ◽  
pp. 01011
Author(s):  
Benediktus Yosef Arya Wastunimpuna ◽  
Wahyu Setia Budi ◽  
Erni Setyowati
Keyword(s):  
Heat Stress ◽  
Relative Humidity ◽  
Thermal Condition ◽  
Natural Ventilation ◽  
Thermal Conditions ◽  
Standard Theory ◽  
Hot Wire ◽  
Air Movement ◽  
Dutch Colonial

The outside corridor of Dutch Colonial Building in Indonesia was made to make the temperature of the room more comfortable. Lawang Sewu Building in Semarang is one example of a building that has an outside corridor along the building and until now still use natural ventilation. This study focuses on finding out whether there is a difference on the thermal conditions of each room’s orientation, so after that we know the effect of orientation of the outdoor corridor to the temperature of the interior. In this study the experiment based on measurement using Heat Stress WBGT Meter for Wet Bulb Temperature, Dry Bulb Temperature, Relative Humidity, and KW0600653 Hot Wire Anemometer for the air movement. The data will be analysed using thermal standard theory to find out which point has the most comfortable thermal conditions.. At the end of this study will be found the effect of corridor’s orientation to thermal condition of the interior in Lawang Sewu Semarang.

Evaluation of the heat changes in an ancient church because of restoration works: A microclimatic study supported by thermal images

2021 ◽  
pp. 1420326X2199462
Author(s):  
Stefano Ridolfi ◽  
Susanna Crescenzi ◽  
Fabiana Zeli ◽  
Stefano Perilli ◽  
Stefano Sfarra
Keyword(s):  
Methodological Approach ◽  
Thermal Capacity ◽  
Outdoor Environment ◽  
Heat Index ◽  
Heat Sources ◽  
Thermal Images ◽  
Roof Structure ◽  
Period 2 ◽  
Microclimate Monitoring ◽  
The Church

This work is centred on an ancient Italian church. Since 2011, a restoration plan has been undertaken by following sequential phases. The methodological approach to restoration was guided by environmental monitoring campaigns. In particular, two thermo-hygrometric campaigns were carried out during the warm months of the years 2015 and 2016. The first set of measurements was executed during the restoration of facades and roofs, making it possible to reach even areas that are usually difficult to access. The second set was performed to evaluate the indoor thermo-hygrometric conditions following the work of the previous year. This was intended to assess their differences in variability, the influence of the outdoor environment and any real and perceived improvement. Results demonstrate that thermal images helped in identifying both the heat sources causing thermal discomforts and the good thermal capacity of masonries. Concerning the heat index (HI), the church showed an improvement in the trend of malaise perceived by people during the second summer period (∼2°C lower than 2015). Finally, in the last microclimate monitoring, the roof structure no longer acted as an amplifier for daily temperature excursions.

scholarly journals Effects of trees, gardens, and nature trails on heat index and child health: design and methods of the Green Schoolyards Project

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Kevin Lanza ◽  
Melody Alcazar ◽  
Deanna M. Hoelscher ◽  
Harold W. Kohl
Keyword(s):  
Physical Activity ◽  
United States ◽  
Relative Humidity ◽  
Air Temperature ◽  
The United States ◽  
Heat Index ◽  
Activity Levels ◽  
Natural Setting ◽  
Physical Activity Levels ◽  
Nature Trails

Abstract Background Latinx children in the United States are at high risk for nature-deficit disorder, heat-related illness, and physical inactivity. We developed the Green Schoolyards Project to investigate how green features—trees, gardens, and nature trails—in school parks impact heat index (i.e., air temperature and relative humidity) within parks, and physical activity levels and socioemotional well-being of these children. Herein, we present novel methods for a) observing children’s interaction with green features and b) measuring heat index and children’s behaviors in a natural setting, and a selection of baseline results. Methods During two September weeks (high temperature) and one November week (moderate temperature) in 2019, we examined three joint-use elementary school parks in Central Texas, United States, serving predominantly low-income Latinx families. To develop thermal profiles for each park, we installed 10 air temperature/relative humidity sensors per park, selecting sites based on land cover, land use, and even spatial coverage. We measured green features within a geographic information system. In a cross-sectional study, we used an adapted version of System for Observing Play and Recreation in Communities (SOPARC) to assess children’s physical activity levels and interactions with green features. In a cohort study, we equipped 30 3rd and 30 4th grade students per school during recess with accelerometers and Global Positioning System devices, and surveyed these students regarding their connection to nature. Baseline analyses included inverse distance weighting for thermal profiles and summing observed counts of children interacting with trees. Results In September 2019, average daily heat index ranged 2.0 °F among park sites, and maximum daily heat index ranged from 103.4 °F (air temperature = 33.8 °C; relative humidity = 55.2%) under tree canopy to 114.1 °F (air temperature = 37.9 °C; relative humidity = 45.2%) on an unshaded playground. 10.8% more girls and 25.4% more boys interacted with trees in September than in November. Conclusions We found extreme heat conditions at select sites within parks, and children positioning themselves under trees during periods of high heat index. These methods can be used by public health researchers and practitioners to inform the redesign of greenspaces in the face of climate change and health inequities.

FABRICATION OF GRANULAR HUMIDITY INDICATOR

2020 ◽  
pp. 118-123
Author(s):  
Canh
Keyword(s):  
Relative Humidity ◽  
Fermentation Process ◽  
Cobalt Chloride ◽  
Seed Storage ◽  
Food Preservation ◽  
Outdoor Environment ◽  
Stabilizing Agents ◽  
Military Equipment ◽  
Relative Moisture ◽  
Silica Gel Particles

This work presents the fabrication of the granular humidity indicator for the monitor of the relative moisture in the outdoor environment or in the enclosed areas such as bags, containers, enclosed rooms, boxes which are used for the storage of the weapons and military equipment, food preservation, seed storage in agriculture, controlling fermentation process as well as the plants growing process, etc. Moisture indicator was fabricated from cobalt chloride, desiccant, color-stabilizing agents, and silica gel particles. The obtained indicator can measure the relative humidity in the range of 30 to 70 based on the color changing from the indicator.

scholarly journals Association between meteorological factors and reported cases of hand, foot, and mouth disease from 2000 to 2015 in Japan

2017 ◽  
Vol 145 (14) ◽  
pp. 2896-2911 ◽  
Author(s):  
A. SUMI ◽  
S. TOYODA ◽  
K. KANOU ◽  
T. FUJIMOTO ◽  
K. MISE ◽  
...  
Keyword(s):  
Relative Humidity ◽  
Foot And Mouth Disease ◽  
Entropy Method ◽  
Temperature Data ◽  
Mouth Disease ◽  
Lower Threshold ◽  
Control Measures ◽  
Temperature Threshold ◽  
Average Temperature ◽  
Foot And Mouth

SUMMARYThe purpose of this study was to clarify the association between hand, foot, and mouth disease (HFMD) epidemics and meteorological conditions. We used HFMD surveillance data of all 47 prefectures in Japan from January 2000 to December 2015. Spectral analysis was performed using the maximum entropy method (MEM) for temperature-, relative humidity-, and total rainfall-dependent incidence data. Using MEM-estimated periods, long-term oscillatory trends were calculated using the least squares fitting (LSF) method. The temperature and relative humidity thresholds of HFMD data were estimated from the LSF curves. The average temperature data indicated a lower threshold at 12 °C and a higher threshold at 30 °C for risk of HFMD infection. Maximum and minimum temperature data indicated a lower threshold at 6 °C and a higher threshold at 35 °C, suggesting a need for HFMD control measures at temperatures between 6 and 35 °C. Based on our findings, we recommend the use of maximum and minimum temperatures rather than the average temperature, to estimate the temperature threshold of HFMD infections. The results obtained might aid in the prediction of epidemics and preparation for the effect of climatic changes on HFMD epidemiology.

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