Multi-Level Gray Evaluation Method for Assessing Health Risks in Indoor Environments DOI Creative Commons
Yajing Wang, Yan Ding, Chunhua Liu

et al.

Buildings, Journal Year: 2025, Volume and Issue: 15(5), P. 789 - 789

Published: Feb. 27, 2025

Recently, health risk assessment and early warning systems for high-temperature events have become critical concerns. However, current primarily focus on temperature alone, which fails to accurately reflect the actual heat exposure levels associated risks. Therefore, this paper proposes an improved AHP (analytic hierarchy process) combined with a multi-level gray evaluation method assessing human risks during conditions. A comprehensive system is developed, incorporating various indicators, including status, building conditions, weather forecasts, making it more holistic than traditional temperature-based systems. case study shows that highest score young individuals 3.41, while elderly males receive of 2.5. Furthermore, females 3.1. The results indicate individuals, no alert issued; elderly, red triggered; middle-aged issues orange yellow alerts based varying risk. This can be used monitor provide message humans. Based proposed system, people able predict in time.

Language: Английский

Multi-Level Gray Evaluation Method for Assessing Health Risks in Indoor Environments DOI Creative Commons
Yajing Wang, Yan Ding, Chunhua Liu

et al.

Buildings, Journal Year: 2025, Volume and Issue: 15(5), P. 789 - 789

Published: Feb. 27, 2025

Recently, health risk assessment and early warning systems for high-temperature events have become critical concerns. However, current primarily focus on temperature alone, which fails to accurately reflect the actual heat exposure levels associated risks. Therefore, this paper proposes an improved AHP (analytic hierarchy process) combined with a multi-level gray evaluation method assessing human risks during conditions. A comprehensive system is developed, incorporating various indicators, including status, building conditions, weather forecasts, making it more holistic than traditional temperature-based systems. case study shows that highest score young individuals 3.41, while elderly males receive of 2.5. Furthermore, females 3.1. The results indicate individuals, no alert issued; elderly, red triggered; middle-aged issues orange yellow alerts based varying risk. This can be used monitor provide message humans. Based proposed system, people able predict in time.

Language: Английский

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