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oapen-20.500.12657-891192024-04-03T02:23:46Z Chapter Visualization of Weather-Aware Ambient Heat Risks With Global Illumination in Game Engine Sumida, Naotaka Kubota, Satoshi Ozaki, Taira Dan, Hiroshige Yasumuro, Yoshihiro heat index WBGT (wet bulb globe temperature) real-time global illumination game engine thema EDItEUR::U Computing and Information Technology In recent years, the risk of heat stroke has been increasing due to global warming and other factors, and the Ministry of the Environment has been using the heat index to alert people in urban areas. Still, citizens need help knowing the detailed risk information for their neighborhoods. The heat index considers the human body's heat balance and is measured with specialized instruments, so comprehensive and high-density measurement is difficult. In this research, by using global illumination (GI) and primary weather data obtained from the Open Weather Map API for each area, we can realistically render the sunlight condition considering the weather and map and visualize the heat index per pixel based on shaded CG. Furthermore, by reconstructing urban 3D geometry from Google Maps, we have developed a system that visualizes the ever-changing heat index distribution for an arbitrary location in real time. The system has shown the possibility of reducing the number of heat stroke patients by using this system 2024-04-02T15:47:06Z 2024-04-02T15:47:06Z 2023 chapter ONIX_20240402_9791221502893_88 2704-5846 9791221502893 https://library.oapen.org/handle/20.500.12657/89119 eng Proceedings e report application/pdf n/a 9791221502893_13.pdf https://books.fupress.com/doi/capitoli/979-12-215-0289-3_13 Firenze University Press 10.36253/979-12-215-0289-3.13 10.36253/979-12-215-0289-3.13 bf65d21a-78e5-4ba2-983a-dbfa90962870 9791221502893 137 9 Florence open access
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In recent years, the risk of heat stroke has been increasing due to global warming and other factors, and the Ministry of the Environment has been using the heat index to alert people in urban areas. Still, citizens need help knowing the detailed risk information for their neighborhoods. The heat index considers the human body's heat balance and is measured with specialized instruments, so comprehensive and high-density measurement is difficult. In this research, by using global illumination (GI) and primary weather data obtained from the Open Weather Map API for each area, we can realistically render the sunlight condition considering the weather and map and visualize the heat index per pixel based on shaded CG. Furthermore, by reconstructing urban 3D geometry from Google Maps, we have developed a system that visualizes the ever-changing heat index distribution for an arbitrary location in real time. The system has shown the possibility of reducing the number of heat stroke patients by using this system
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