Application of Parallel Algorithms in an Air Pollution Model

Large Scale Computations in Air Pollution Modelling ◽

10.1007/978-94-011-4570-1_14 ◽

1999 ◽

pp. 173-184 ◽

Cited By ~ 1

Author(s):

K. Georgiev ◽

Z. Zlatev

Keyword(s):

Air Pollution ◽

Parallel Algorithms ◽

Air Pollution Model

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1974 operational report for METROMEX. [Aerial monitoring of aerosol particle size distributions for development of mathematical air pollution model]

10.2172/5027925 ◽

1974 ◽

Author(s):

Jr., R. R. Braham

Keyword(s):

Air Pollution ◽

Particle Size ◽

Aerosol Particle ◽

Size Distributions ◽

Particle Size Distributions ◽

Aerosol Particle Size ◽

Air Pollution Model

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Monte Carlo methods for sensitivity studies of large-scale air pollution model

10.1063/5.0034848 ◽

2020 ◽

Author(s):

Tz. Ostromsky ◽

V. Todorov ◽

I. Dimov

Keyword(s):

Air Pollution ◽

Monte Carlo ◽

Monte Carlo Methods ◽

Large Scale ◽

Sensitivity Studies ◽

Air Pollution Model

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Lagrangian Long Range Air Pollution Model for Eastern North America

Air Pollution Modeling and Its Application III ◽

10.1007/978-1-4613-2691-5_3 ◽

1984 ◽

pp. 35-56 ◽

Cited By ~ 1

Author(s):

C. M. Bhumralkar ◽

R. M. Endlich ◽

K. C. Nitz ◽

R. Brodzinsky ◽

P. Mayerhofer

Keyword(s):

Air Pollution ◽

North America ◽

Long Range ◽

Eastern North America ◽

Air Pollution Model

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Sensitivity Studies of an Air Pollution Model by Using Efficient Stochastic Algorithms for Multidimensional Numerical Integration

Advances in High Performance Computing - Studies in Computational Intelligence ◽

10.1007/978-3-030-55347-0_16 ◽

2020 ◽

pp. 184-195

Author(s):

Tzvetan Ostromsky ◽

Venelin Todorov ◽

Ivan Dimov ◽

Zahari Zlatev

Keyword(s):

Air Pollution ◽

Numerical Integration ◽

Stochastic Algorithms ◽

Sensitivity Studies ◽

Air Pollution Model

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Development of an air pollution model for the San Francisco Bay Area. Third semiannual report to the National Science Foundation

10.2172/4248510 ◽

1974 ◽

Author(s):

Keyword(s):

Air Pollution ◽

San Francisco ◽

National Science Foundation ◽

San Francisco Bay ◽

San Francisco Bay Area ◽

Bay Area ◽

National Science ◽

Air Pollution Model

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Implementation of Bilinear Nonconforming Finite Elements in an Eulerian Air Pollution Model: Results Obtained by Using the Rotational Test

Numerical Methods and Applications - Lecture Notes in Computer Science ◽

10.1007/3-540-36487-0_42 ◽

2003 ◽

pp. 379-386 ◽

Cited By ~ 1

Author(s):

Anton Antonov ◽

Krassimir Georgiev ◽

Emilia Komsalova ◽

Zahari Zlatev

Keyword(s):

Air Pollution ◽

Finite Elements ◽

Nonconforming Finite Elements ◽

Air Pollution Model

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On the Coupling of Air-Pollution Model to Numerical Weather Prediction Model

Air Pollution Modeling and Its Application XV ◽

10.1007/0-306-47813-7_8 ◽

2005 ◽

pp. 79-85

Author(s):

Tomas Halenka ◽

Josef Brechler ◽

Jan Bednar

Keyword(s):

Air Pollution ◽

Prediction Model ◽

Numerical Weather Prediction ◽

Weather Prediction ◽

Numerical Weather Prediction Model ◽

Numerical Weather ◽

Air Pollution Model

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Parallel Algorithms for Some Optimization Problems Arising in Air Pollution Modeling

Large Scale Computations in Air Pollution Modelling ◽

10.1007/978-94-011-4570-1_1 ◽

1999 ◽

pp. 1-14

Author(s):

J. L. Alonso ◽

V. N. Alexandrov

Keyword(s):

Air Pollution ◽

Parallel Algorithms ◽

Optimization Problems ◽

Air Pollution Modeling ◽

Pollution Modeling

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Flexible Two-Level Parallel Implementations of a Large Air Pollution Model

Numerical Methods and Applications - Lecture Notes in Computer Science ◽

10.1007/3-540-36487-0_62 ◽

2003 ◽

pp. 545-554 ◽

Cited By ~ 11

Author(s):

Tzvetan Ostromsky ◽

Zahari Zlatev

Keyword(s):

Air Pollution ◽

Parallel Implementations ◽

Air Pollution Model

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Air Pollution Model Parameter Estimation Using Simulated LIDAR Data

AIAA Journal ◽

10.2514/3.60804 ◽

1977 ◽

Vol 15 (10) ◽

pp. 1381-1384 ◽

Cited By ~ 4

Author(s):

James F. Kibler ◽

John T. Suttles

Keyword(s):

Air Pollution ◽

Parameter Estimation ◽

Lidar Data ◽

Model Parameter ◽

Model Parameter Estimation ◽

Air Pollution Model

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