Multi-Level Gray Evaluation Method for Assessing Health Risks in Indoor Environments
Recently, health risk assessment and early warning systems for high-temperature events have become critical concerns. However, current high-temperature warning systems primarily focus on temperature alone, which fails to accurately reflect the actual heat exposure levels and associated health risks....
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MDPI AG
2025-02-01
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| Series: | Buildings |
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| Online Access: | https://www.mdpi.com/2075-5309/15/5/789 |
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| author | Yajing Wang Yan Ding Chunhua Liu Kuixing Liu |
| author_facet | Yajing Wang Yan Ding Chunhua Liu Kuixing Liu |
| author_sort | Yajing Wang |
| collection | DOAJ |
| description | Recently, health risk assessment and early warning systems for high-temperature events have become critical concerns. However, current high-temperature warning systems primarily focus on temperature alone, which fails to accurately reflect the actual heat exposure levels and associated health risks. Therefore, this paper proposes an improved AHP (analytic hierarchy process) combined with a multi-level gray evaluation method for assessing human health risks during high-temperature conditions. A comprehensive early warning system is developed, incorporating various indicators, including human status, building conditions, and weather forecasts, making it more holistic than traditional temperature-based warning systems. A case study shows that the highest evaluation score for young individuals is 3.41, while elderly males receive the highest score of 2.5. Furthermore, the highest evaluation score for males is 3.41, while for females the highest score of 3.1. The warning results indicate that for young individuals, no alert is issued; for the elderly, a red alert is triggered; and for middle-aged individuals, the system issues orange and yellow alerts based on varying levels of risk. This study can be used to monitor health risk and provide alert message to humans. Based on the proposed early warning system, people can be able to predict health risk in time. |
| format | Article |
| id | doaj-art-f653b0f604db4414bafacbd93dfe112e |
| institution | DOAJ |
| issn | 2075-5309 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj-art-f653b0f604db4414bafacbd93dfe112e2025-08-20T02:53:02ZengMDPI AGBuildings2075-53092025-02-0115578910.3390/buildings15050789Multi-Level Gray Evaluation Method for Assessing Health Risks in Indoor EnvironmentsYajing Wang0Yan Ding1Chunhua Liu2Kuixing Liu3School of Energy and Architectural Engineering, Shandong Huayu University of Technology, Dezhou 253000, ChinaSchool of Environmental Science and Engineering, Tianjin University, Tianjin 300072, ChinaSchool of Energy and Architectural Engineering, Shandong Huayu University of Technology, Dezhou 253000, ChinaSchool of Architecture, Tianjin University, Tianjin 300072, ChinaRecently, health risk assessment and early warning systems for high-temperature events have become critical concerns. However, current high-temperature warning systems primarily focus on temperature alone, which fails to accurately reflect the actual heat exposure levels and associated health risks. Therefore, this paper proposes an improved AHP (analytic hierarchy process) combined with a multi-level gray evaluation method for assessing human health risks during high-temperature conditions. A comprehensive early warning system is developed, incorporating various indicators, including human status, building conditions, and weather forecasts, making it more holistic than traditional temperature-based warning systems. A case study shows that the highest evaluation score for young individuals is 3.41, while elderly males receive the highest score of 2.5. Furthermore, the highest evaluation score for males is 3.41, while for females the highest score of 3.1. The warning results indicate that for young individuals, no alert is issued; for the elderly, a red alert is triggered; and for middle-aged individuals, the system issues orange and yellow alerts based on varying levels of risk. This study can be used to monitor health risk and provide alert message to humans. Based on the proposed early warning system, people can be able to predict health risk in time.https://www.mdpi.com/2075-5309/15/5/789high temperaturehealth risk evaluationmulti-level gray evaluationearly warning system |
| spellingShingle | Yajing Wang Yan Ding Chunhua Liu Kuixing Liu Multi-Level Gray Evaluation Method for Assessing Health Risks in Indoor Environments Buildings high temperature health risk evaluation multi-level gray evaluation early warning system |
| title | Multi-Level Gray Evaluation Method for Assessing Health Risks in Indoor Environments |
| title_full | Multi-Level Gray Evaluation Method for Assessing Health Risks in Indoor Environments |
| title_fullStr | Multi-Level Gray Evaluation Method for Assessing Health Risks in Indoor Environments |
| title_full_unstemmed | Multi-Level Gray Evaluation Method for Assessing Health Risks in Indoor Environments |
| title_short | Multi-Level Gray Evaluation Method for Assessing Health Risks in Indoor Environments |
| title_sort | multi level gray evaluation method for assessing health risks in indoor environments |
| topic | high temperature health risk evaluation multi-level gray evaluation early warning system |
| url | https://www.mdpi.com/2075-5309/15/5/789 |
| work_keys_str_mv | AT yajingwang multilevelgrayevaluationmethodforassessinghealthrisksinindoorenvironments AT yanding multilevelgrayevaluationmethodforassessinghealthrisksinindoorenvironments AT chunhualiu multilevelgrayevaluationmethodforassessinghealthrisksinindoorenvironments AT kuixingliu multilevelgrayevaluationmethodforassessinghealthrisksinindoorenvironments |