- Volume 19 Issue 4
The performance of one-particle stochastic Lagrangian models for passive tracer dispersion are evaluated against measurements in horizontally-homogeneous neutrally-stratified atmospheric surface layer. State-of-the-technology models as well as classical Langevin models, all in class of well mixed models are numerically implemented for inter-model comparison study. Model results (far-downstream asymptotic behavior and vertical profiles of the time averaged concentrations, concentration fluxes, and concentration fluctuations) are compared with the reported measurements. The results are: 1) the far-downstream asymptotic trends of all models except Reynolds model agree well with Garger and Zhukov's measurements. 2) profiles of the average concentrations and vertical concentration fluxes by all models except Reynolds model show good agreement with Raupach and Legg's experimental data. Reynolds model produces horizontal concentration flux profiles most close to measurements, yet all other models fail severely. 3) With temporally correlated emissions, one-particle models seems to simulate fairly the concentration fluctuations induced by plume meandering, when the statistical random noises are removed from the calculated concentration fluctuations. Analytical expression for the statistical random noise of one-particle model is presented. This study finds no indication that recent models of most delicate theoretical background are superior to the simple Langevin model in accuracy and numerical performance at well.
- Mesoscale Atmospheric Dispersion Boybeyi,Z.
- Boundary-Layer Meteorology v.86 On the formulation of Lagrangian stochastic models of scalar dispersion within plant canopies Reynolds,A.M. https://doi.org/10.1023/A:1000673418479
- Representation of internal plume structure in Gifford's meandering plume model Reynolds,A.M.
- Boundary-Layer Meteorology v.97 Lagrangian stochastic models for turbulent dispersion in the atmospheric boundary layer Kurbanmuradov,O.;K.Sabelfeld https://doi.org/10.1023/A:1002701813926
- Journal of Applied Meteorology v.18 Some statistics of Lagrangian and Eulerian wind fluctuations Hanna,S.R. https://doi.org/10.1175/1520-0450(1979)018<0518:SSOLAE>2.0.CO;2
- Monthly Weather Review v.128 A Dynamically Adapting Weather and Dispersion Model: The Operational Multiscale Environment Model with Grid Adaptivity(OMEGA) Bacon,D.P.;N.N.Ahmad;Z.Boybeyi;T.J.Dunn;M.S.Hall;P.C.S.Lee;R.A.Sarma;M.D.Turner;K.T.Waight;S.H.Young;J.W.Zack https://doi.org/10.1175/1520-0493(2000)128<2044:ADAWAD>2.0.CO;2
- Boundary-Layer Meteorology v.16 Markov chain simulations of vertical dispersion in the neutral surface layer for surface and elevated releases Reid,J.D.
- Advances in Geophysics v.6 Statistical properties of a fluctuation plume dispersion model Gilfford,F.A. https://doi.org/10.1016/S0065-2687(08)60099-0
- Atmospheric Turbulence: Models and Methods for Engineering Applications Panofsky,H.A.;J.A.Dutton
- Statistical Fluid Mechanics: Mechanics of Turbulence v.2 Monin,A.S.;A.M.Yaglom
- J. Fluid Mech. v.136 Turbulent dispersion from an elevated line source: measurements of wind-concentration moments and budgets Raupach,M.R.;B.J.Legg https://doi.org/10.1017/S0022112083002086
- Boundary-Layer Meteorology v.61 A two-dimensional trajectory-simulation model for non-Gaussian, inhomegeneous turbulence within plant canopies Flesch,T.K.;J.D.Wilson https://doi.org/10.1007/BF00119097
- Journal of Fluid Mech. v.279 A family of stochastic models for two-particle dispersion in isotropic homogeneous stationary turbulence Borgas,M.S.;B.L.Sawford https://doi.org/10.1017/S0022112094003824
- Annual Review of Fluid Mech. v.26 Lagrangian PDF methods for turbulent flows Pope,S.B. https://doi.org/10.1146/annurev.fl.26.010194.000323
- Turbulence and Diffusion in the Atmosphere Blackadar,A.K.
- Izv. Acad. Nauk SSSR, Ser, FAQ v.22 On vertical diffusion from the local admixture source in the atmospheric surface layer Garger,E.K.;G.P.Zhukov
- Boundary-Layer Meteorology v.88 On trajectory curvature as a selection criteria for valid Lagrangian stochastic dispersion models Reynolds,A.M. https://doi.org/10.1023/A:1001183520153
- 현대통계학 김우철;김재주;박성현;박홍래;송문섭;김종우;정한영;최지훈
- Numerical heat transfer and fluid flow Patankar,S.V.
- Physics of Fluids v.6 Stochastic Equations with multifractal random increments for modeling tubulent dispersion Borgas,M.S.;B.L.Sawford https://doi.org/10.1063/1.868358