TY - JOUR
T1 - Real-Time Tracer Dispersion Simulations in Oklahoma City Using the Locally Mesh-Refined Lattice Boltzmann Method
AU - Onodera, Naoyuki
AU - Idomura, Yasuhiro
AU - Hasegawa, Yuta
AU - Nakayama, Hiromasa
AU - Shimokawabe, Takashi
AU - Aoki, Takayuki
N1 - Publisher Copyright:
© 2021, The Author(s).
PY - 2021/5
Y1 - 2021/5
N2 - We present ensemble-based large-eddy simulations based on a lattice Boltzmann method for a realistic urban area. A plume-dispersion model enables a real-time simulation over several kilometres by applying a local mesh-refinement method. We assess plume-dispersion problems in the complex urban environment of Oklahoma City on 16 July using realistic mesoscale velocity boundary conditions produced by the Weather Research and Forecasting model, as well as building structures and a plant-canopy model introduced into the plume-dispersion model. Ensemble calculations are performed to reduce uncertainties in the macroscale boundary conditions due to turbulence, which cannot be determined by the mesoscale model. The statistics of the plume-dispersion field, as well as mean and maximum concentrations, show that ensemble calculations improve the accuracy of the simulations. Factor-of-2 agreement is found between the ensemble-averaged concentrations based on the simulations over a 4.2 × 4.2 × 2.5 km2 area with 2-m resolution with the plume-dispersion model and the observations.
AB - We present ensemble-based large-eddy simulations based on a lattice Boltzmann method for a realistic urban area. A plume-dispersion model enables a real-time simulation over several kilometres by applying a local mesh-refinement method. We assess plume-dispersion problems in the complex urban environment of Oklahoma City on 16 July using realistic mesoscale velocity boundary conditions produced by the Weather Research and Forecasting model, as well as building structures and a plant-canopy model introduced into the plume-dispersion model. Ensemble calculations are performed to reduce uncertainties in the macroscale boundary conditions due to turbulence, which cannot be determined by the mesoscale model. The statistics of the plume-dispersion field, as well as mean and maximum concentrations, show that ensemble calculations improve the accuracy of the simulations. Factor-of-2 agreement is found between the ensemble-averaged concentrations based on the simulations over a 4.2 × 4.2 × 2.5 km2 area with 2-m resolution with the plume-dispersion model and the observations.
KW - Ensemble calculations
KW - Graphics-processing-unit-based computing
KW - Lattice Boltzmann method
KW - Real-time simulation
KW - Urban dispersion
UR - http://www.scopus.com/inward/record.url?scp=85099770668&partnerID=8YFLogxK
U2 - 10.1007/s10546-020-00594-x
DO - 10.1007/s10546-020-00594-x
M3 - Article
AN - SCOPUS:85099770668
SN - 0006-8314
VL - 179
SP - 187
EP - 208
JO - Boundary-Layer Meteorology
JF - Boundary-Layer Meteorology
IS - 2
ER -