scholarly journals Non-Radiological Air Quality Modeling for the High-Level Waste Salt Disposition Environmental Impact Statement

2000 ◽  
Author(s):  
C.H. Hunter
Keyword(s):  
Air Quality ◽  
Environmental Impact ◽  
Air Quality Modeling ◽  
High Level Waste ◽  
Environmental Impact Statement ◽  
Quality Modeling ◽  
Waste Salt ◽  
High Level

scholarly journals Technical Note: The air quality modeling system Polyphemus

2007 ◽  
Vol 7 (3) ◽  
pp. 6459-6486 ◽  
Author(s):  
V. Mallet ◽  
D. Quélo ◽  
B. Sportisse ◽  
M. Ahmed de Biasi ◽  
É. Debry ◽  
...  
Keyword(s):  
Air Quality ◽  
Data Assimilation ◽  
Radioactive Decay ◽  
Air Quality Modeling ◽  
Technical Note ◽  
Aerosol Dynamics ◽  
Continental Scale ◽  
Quality Modeling ◽  
Passive Tracers ◽  
High Level

Abstract. Polyphemus is an air quality modeling platform which aims at covering the scope and the abilities of modern air quality systems. It deals with applications from local scale to continental scale, using two Gaussian models and two Eulerian models. It manages passive tracers, radioactive decay, photochemistry and aerosol dynamics. The structure of the system includes four independent levels with data management, physical parameterizations, numerical solvers and high-level methods such as data assimilation. This enables sensitivity and uncertainty analysis, primarily through multimodel approaches. On top of the models, drivers implement advanced methods such as model coupling or data assimilation.

scholarly journals Technical Note: The air quality modeling system Polyphemus

2007 ◽  
Vol 7 (20) ◽  
pp. 5479-5487 ◽  
Author(s):  
V. Mallet ◽  
D. Quélo ◽  
B. Sportisse ◽  
M. Ahmed de Biasi ◽  
É. Debry ◽  
...  
Keyword(s):  
Air Quality ◽  
Data Assimilation ◽  
Radioactive Decay ◽  
Air Quality Modeling ◽  
Technical Note ◽  
Aerosol Dynamics ◽  
Continental Scale ◽  
Quality Modeling ◽  
Passive Tracers ◽  
High Level

Abstract. Polyphemus is an air quality modeling platform which aims at covering the scope and the abilities of modern air quality systems. It deals with applications from local scale to continental scale, using two Gaussian models and two Eulerian models. It manages passive tracers, radioactive decay, photochemistry and aerosol dynamics. The structure of the system includes four independent levels with data management, physical parameterizations, numerical solvers and high-level methods such as data assimilation. This enables sensitivity and uncertainty analysis, primarily through multimodel approaches. On top of the models, drivers implement advanced methods such as model coupling or data assimilation.

Sign in / Sign up

Export Citation Format

Share Document