Rchr
J-GLOBAL ID:201801005529632606   Update date: Jul. 17, 2024

Nakayama Hiromasa

Nakayama Hiromasa
Research field  (1): Environmental dynamics
Research theme for competitive and other funds  (7):
  • 2023 - 2027 Development of a nuclear emergency remote monitoring system for plume dispersion in the atmosphere
  • 2021 - 2024 Development of local-scale ashfall prediction method in urban districts by merging observations and building-resolving CFD model
  • 2018 - 2021 Risk Assessment of Severe Wind Disasters in Urban Districts under Climate Change
  • 2016 - 2019 Development of a quick atmospheric dispersion calculation method in emergency responses to nuclear accidents
  • 2014 - 2018 Development of Multi-Scale Prediction Model for Atmospheric Turbulence and Dispersion for Assessing Risks of Nuclear Power Plant Disaster
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Papers (23):
  • Hiromasa Nakayama, Tetsuya Takemi. Large-eddy simulation of plume dispersion in a turbulent boundary layer flow generated by a dynamically controlled recycling method. Atmospheric Science Letters. 2023
  • Hiromasa Nakayama, Naoyuki Onodera, Daiki Satoh, Haruyasu Nagai, Yuta Hasegawa, Yasuhiro Idomura. Development of local-scale high-resolution atmospheric dispersion and dose assessment system. Journal of Nuclear Science and Technology. 2022. 59. 10. 1314-1329
  • Hiromasa Nakayama, Tetsuya Takemi, Toshiya Yoshida. Large-Eddy Simulation of Plume Dispersion in the Central District of Oklahoma City by Coupling with a Mesoscale Meteorological Simulation Model and Observation. Atmosphere. 2021. 12. 7. 889-889
  • Hiromasa Nakayama, Toshiya Yoshida, Hiroaki Terada, Masanao Kadowaki. Toward development of a framework for prediction system of local-scale atmospheric dispersion based on a coupling of les-database and on-site meteorological observation. Atmosphere. 2021. 12. 7
  • Hiromasa Nakayama, Daiki Satoh, Haruyasu Nagai, Hiroaki Terada. Development of local-scale high-resolution atmospheric dispersion model using large-eddy simulationpart 6: introduction of detailed dose calculation method. Journal of Nuclear Science and Technology. 2021. 58. 9. 949-969
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MISC (67):
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