Risk Management of Heatstroke Based on Fast Computation of Temperature and Water Loss using Weather Data for Exposure to Ambient Heat and Solar Radiation

Research output: Contribution to journalArticleScientificpeer-review


  • Kazuya Kojima
  • Akimasa Hirata
  • Kazuma Hasegawa
  • Sachiko Kodera
  • Ilkka Laakso
  • Daisuke Sasaki
  • Takeshi Yamashita
  • Ryusuke Egawa
  • Yuka Horie
  • Nanako Yazaki
  • Saeri Kowata
  • Kenji Taguchi
  • Tatsuya Kashiwa

Research units

  • Nagoya Institute of Technology
  • Tohoku University
  • Kitami Institute of Technology
  • Japan Weather Association


Several indexes, such as the heat index, wet-bulb globe temperature, and the universal thermal climate index, are used to estimate the risk of seasonal heat illness. These indexes correspond to the heat load of an individual in identical environmental conditions for a prolonged period of time. In daily life, the environment changes with time, and different individuals are vulnerable to heat-related illness to different degrees. An appropriate health risk assessment covering 90% of the population would facilitate an effective response to increased rates of heat illness for major summer sport events and the elderly in daily life. In this study, a fast computation for simulating temperature elevation and sweating is implemented using weather forecast data. In particular, a bioheat equation considering thermoregulatory responses is solved in the time domain using anatomical human body models including young adults, the elderly, and children. To accelerate simulation, the computational code is vectorized and parallelized, and subsequently implemented on an SX-ACE supercomputer. The computational results are validated in typical cases of young adults, children, and the elderly. The computational time for estimating the body temperature elevation and water loss for three hours based on the forecasted temperature, humidity, and solar radiation was 8 min for a total of nine human models that cover an estimated 90% of the population. This demonstrates the effectiveness of the proposed system for pre-emptive health risk management. To improve public awareness, a web-based risk management application has been developed and used since the spring of 2017 in Japan.


Original languageEnglish
Pages (from-to)3774-3785
Number of pages10
JournalIEEE Access
Publication statusPublished - 2018
MoE publication typeA1 Journal article-refereed

    Research areas

  • Bioheat equation, Biological system modeling, Blood, Computational modeling, Decline in sweating rate, Heat stroke, Heating systems, Indexes, Mathematical model, Senior citizens, Thermoregulatory response

Download statistics

No data available

ID: 17708344