A research study led by Prof. WENG Qihao, Associate Director of the Research Institute for Land and Space (RILS), Chair Professor of Geomatics and Artificial Intelligence of the Department of Land Surveying and Geo-Informatics, Director of the PolyU Research Centre for Artificial Intelligence in Geomatics (RCAIG), and Director of the Jockey Club STEM Lab of Earth Observations, together with Postdoctoral Fellow Dr Pir MOHAMMAD, revealed that some existing heatwave indices are unable to accurately capture heatwave severity across diverse geographical regions and varying climate conditions. They study suggests that incorporating humidity and indoor environmental conditions is essential for accurately identifying a dangerous heatwave. It recommends the development of a comprehensive global heat risk framework and early warning systems to mitigate the adverse impact of heatwaves on human health. The research findings have been published in the international journal Nexus.
The research team examined the effectiveness of six commonly used heatwave indices in identifying dangerous heatwave conditions, including maximum daily air temperature, humidity index, humidex, wet bulb globe temperature, lethal heat stress index and universal thermal climate index. The team conducted case studies on recent heatwave events observed in Spain and the United States in 2022, as well as in India in 2023. The results revealed that the lethal heat stress index, which combines temperature and humidity, is more effective in identifying dangerous heatwave days in a low-humidity environment compared to other indices. It can also differentiate between areas that are affected by extreme heat stress and those that are not. In contrast, the other five heatwave indices demonstrated limited efficacy in accurately detecting hazardous heatwave conditions across diverse climatic, geographical, and meteorological contexts.
Heatwave lethality depends not only on the maximum air temperature, but also on relative humidity, particularly in sub-tropical regions like Hong Kong. The study showed that, in humid conditions, even if the ambient temperature is only 28 °C, the saturated air moisture makes effective sweat evaporation and heat dissipation difficult and causes body temperature to rise faster, potentially leading to fatigue, dehydration or heat stroke. The team suggested that evaluating heat stress in humid conditions is crucial for better understanding the impact of heatwaves on human health, particularly for construction workers and agricultural labourers who spend substantial time outdoors.
In addition, the existing heatwave indices, such as the Hong Kong Heat Index, which is based on outdoor environment conditions, rely on outdoor heat mapping data provided by climate services. However, most heat-related mortalities occur indoors. In Hong Kong’s densely populated environment with many high-rise buildings, residents of rooftop houses and subdivided flats are particularly vulnerable to extreme heat. With rapid global warming, the researchers emphasised that building morphology and material, overheating conditions, and air-conditioning are essential in calculating indoor heat stress. They also suggested revisiting thresholds to establish new global criteria for defining dangerous heatwave limits, considering varied climatic conditions and human adaptability based on age, gender and household conditions.
The research team also discussed enhancing heatwave predictions to mitigate their impacts. They emphasised the importance of interdisciplinary collaboration among climate scientists, health professionals, policy makers and communities to safeguard public health in a changing climate.
Read the article: https://doi.org/10.1016/j.ynexs.2024.100027
Online coverage:
Hong Kong Economic Journal - https://polyu.me/49rBjVF (subscription required)
Sing Tao Daily - https://polyu.me/3D8JeuO (subscription required)
Hong Kong Commercial Daily - https://polyu.me/3D7DAJz
Hong Kong China News Agency - https://polyu.me/41lNXn5
Research Units | Research Institute for Land and Space |
---|