Pollutant dispersion over two-dimensional hilly terrain

1998 ◽  
Vol 12 (1) ◽  
pp. 96-111 ◽  
Author(s):  
Hyun Goo Kim ◽  
Choung Mook Lee
Keyword(s):  
Pollutant Dispersion ◽  
Two Dimensional ◽  
Hilly Terrain

Investigation on Flow Characteristics of Deposited Water Displaced by Flowing Oil in Hilly Terrain Tube

2012 ◽  
Vol 516-517 ◽  
pp. 926-930
Author(s):  
Guang Li Xu
Keyword(s):  
Numerical Simulation ◽  
Test Section ◽  
Flow Characteristics ◽  
Geometrical Model ◽  
Water Interface ◽  
Two Dimensional ◽  
Hilly Terrain ◽  
Vof Model ◽  
Test Loop ◽  
Oil Water

The flow characteristics of deposited water displaced by flowing oil in hilly terrain tube were studied experimentally and numerically. Lab-scale experiments were carried out on the transparent organic glass test loop with I.D. 50 mm to investigate the distributions of oil-water interface by diesel flowing from a lower horizontal test section into the up-inclined test section. Two-dimensional numerical simulation was conducted by VOF model and CSF model based on the test geometrical model. Comparisons of the oil-water interface distribution and the critical superficial oil velocity show that the numerical simulations favorably compare with the measurements.

Description of pollutant dispersion in an urban street canyon using a two-dimensional lattice model

2007 ◽  
Vol 41 (1) ◽  
pp. 221-226 ◽  
Author(s):  
F.J. Jiménez-Horrnero ◽  
J.V. Giráldez ◽  
E. Gutiérrez de Ravé ◽  
F.J. Moral
Keyword(s):  
Lattice Model ◽  
Street Canyon ◽  
Pollutant Dispersion ◽  
Two Dimensional ◽  
Urban Street Canyon ◽  
Dimensional Lattice ◽  
Urban Street

scholarly journals Application of a Dynamic-Stochastic Approach to Short-Term Forecasting of the Atmospheric Boundary Layer

2013 ◽  
Vol 141 (12) ◽  
pp. 4507-4514
Author(s):  
V. S. Komarov ◽  
A. V. Lavrinenko ◽  
N. Ya. Lomakina ◽  
S. N. Il’in
Keyword(s):  
Boundary Layer ◽  
Stochastic Model ◽  
Atmospheric Boundary Layer ◽  
Weather Prediction ◽  
Pollutant Dispersion ◽  
Stochastic Approach ◽  
Two Dimensional ◽  
Short Term ◽  
Dynamic Stochastic ◽  
Short Term Forecasting

Abstract A two-dimensional, dynamic-stochastic model presented in this study is used for short-term forecasting of vertical profiles of air temperature and wind velocity orthogonal components in the atmospheric boundary layer (ABL). The technique of using a two-dimensional dynamic-stochastic model involves preliminary estimation of its coefficients using the Kalman filter (KF) algorithm and observations at only one measuring station. The results obtained can be useful for aviation meteorology, mobile meteorological systems deployed in regions uncovered or rarely covered by meteorological observations, and devices with limited computational resources. In addition, they can be useful for wind-power and pollutant dispersion applications. Two cases of experiments with real observations using a radiometer and sodar (Doppler radar) deployed in the region of Tomsk, Russia, and data of more frequent (4 times a day) radiosonde observations in the region of Omsk (station 28698) are examined. The forecast period of numerical weather prediction (NWP) for all cases considered in this study ranged from 0.5 to 6 h. The results obtained demonstrate higher forecast quality in comparison with the persistence forecast.

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