Global evaluation of WBGT and SET indices for outdoor environments using thermal imaging and artificial neural networks

Mahgoub, Ahmed Osama; Gowid, Samer; Ghаni, Sаud

doi:10.1016/j.scs.2020.102182

Cited by 23 publications

(2 citation statements)

References 30 publications

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“…For instance, the worker can work without breaks if he conducts very heavy work if the WBGT is lower than 25.5°C, and also, they should work 30 minutes/hour (50% work capacity) if the WBGT exceeds 28°C, and if it exceeds 34°C, they should stop working at all. However, the US guidelines also restrict conducting any work at certain levels of WBGT without proper protective clothing, which will increase the thermal stress on the workers [9].…”

Section: Heat Stress Physical Impactsmentioning

confidence: 99%

The Dilemma between Reducing the Thermal Stress in the Industrial Spaces and Ergonomics Arrangement in Low- and Middle-income Countries

Eldaly¹,

Eldin²,

Elgizawi³

2023

cea

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Section: Heat Stress Physical Impactsmentioning

confidence: 99%

The Dilemma between Reducing the Thermal Stress in the Industrial Spaces and Ergonomics Arrangement in Low- and Middle-income Countries

Eldaly¹,

Eldin²,

Elgizawi³

2023

cea

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“…The WBGT index was selected as the field measurement evaluation index among the commonly used outdoor thermal comfort evaluation indexes (WBGT, PMV, SET*, PET, UTCI, etc.). The WBGT index is a basic parameter for the comprehensive evaluation of the heat load of human exposure to the working environment, given in centigrade, to evaluate the average heat load of the human body [53]. According to the height of the center of gravity of an upright human body, as specified in the ISO7730 standard, by keeping the probe height of the instrument of WBGT and tripod of instrument integrated at 1.1 m for field survey data collection, the physical environmental parameters around the investigated object could be obtained more accurately [54].…”

Section: Study Regionmentioning

confidence: 99%

Assessment of the Mechanisms of Summer Thermal Environment of Waterfront Space in China’s Cold Regions

2022

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Water is an essential part of the urban ecosystem and plays a vital role in alleviating urban heat island (UHI) problems. The contribution toward UHI mitigation made by bodies of water needs to be ascertained to establish waterfront thermal environment construction standards. In this study, the thermal environment of the waterfront space of Tianjin in the cold regions of China was the research object. Through a survey including 141 valid questionnaires and the field measurement of four typical waterfront spaces in Tianjin, the thermal demand characteristics of recreational use for the waterfront environment and the influence of water on microclimate are discussed, supplemented by results from low-altitude infrared remote sensing technology, which was mainly used to obtain a wider range of infrared thermal images with higher accuracy. To improve the urban heat island effect and the quality of the ecological environment, this paper used outdoor thermal environment simulation software to quantitatively analyze the thermal environmental impact of outdoor public activity spaces around the representative urban body of water and proposes the optimization scheme of the waterfront space’s thermal environment. The results show that, based on the factors of water itself, the most economical water width was 70–80 m, and the cooling effect intensity of water had an essential correlation with the distance between the measured site and the water center. In terms of the environmental factors around the water, when the green lawn of the waterfront space was 12 m and the water shore’s geometric form was S-shaped, this could improve the cooling effect of water significantly. Waterfront activity spaces should focus on thermal comfort on the east and south water shores. It is expected that this study could provide practical implications and useful guidance for the planning and design of urban waterfront space in China’s cold regions.

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Application of ANN for Prediction of Heat Index in Historic Streets of Gwalior, India

Shah

Pandit

Gaur

2022

Algorithms for Intelligent Systems

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Global evaluation of WBGT and SET indices for outdoor environments using thermal imaging and artificial neural networks

Cited by 23 publications

References 30 publications

The Dilemma between Reducing the Thermal Stress in the Industrial Spaces and Ergonomics Arrangement in Low- and Middle-income Countries

The Dilemma between Reducing the Thermal Stress in the Industrial Spaces and Ergonomics Arrangement in Low- and Middle-income Countries

Assessment of the Mechanisms of Summer Thermal Environment of Waterfront Space in China’s Cold Regions

Application of ANN for Prediction of Heat Index in Historic Streets of Gwalior, India

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