학술논문

Risk Management of Heatstroke Based on Fast Computation of Temperature and Water Loss Using Weather Data for Exposure to Ambient Heat and Solar Radiation
Document Type
Periodical
Source
IEEE Access Access, IEEE. 6:3774-3785 2018
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Heating systems
Computational modeling
Mathematical model
Biological system modeling
Senior citizens
Indexes
Blood
Bioheat equation
thermoregulatory response
heat stroke
decline in sweating rate
Language
ISSN
2169-3536
Abstract
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 paper, 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 3 h 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 2017 in Japan.