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

10.2172/15028 ◽  
1999 ◽  
Author(s):  
C.H. Hunter
Keyword(s):  
Air Quality ◽  
Air Quality Modeling ◽  
High Level Waste ◽  
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.

scholarly journals Emission Inventories and Particulate Matter Air Quality Modeling over the Pearl River Delta Region

2021 ◽  
Vol 18 (8) ◽  
pp. 4155
Author(s):  
Diogo Lopes ◽  
Joana Ferreira ◽  
Ka In Hoi ◽  
Ka-Veng Yuen ◽  
Kai Meng Mok ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Pearl River Delta ◽  
Air Quality Modeling ◽  
Pearl River ◽  
Emission Inventories ◽  
Atmospheric Emission ◽  
The Pearl River Delta ◽  
Quality Modeling ◽  
The Pearl River

The Pearl River Delta (PRD) region is located on the southeast coast of mainland China and it is an important economic hub. The high levels of particulate matter (PM) in the atmosphere, however, and poor visibility have become a complex environmental problem for the region. Air quality modeling systems are useful to understand the temporal and spatial distribution of air pollution, making use of atmospheric emission data as inputs. Over the years, several atmospheric emission inventories have been developed for the Asia region. The main purpose of this work is to evaluate the performance of the air quality modeling system for simulating PM concentrations over the PRD using three atmospheric emission inventories (i.e., EDGAR, REAS and MIX) during a winter and a summer period. In general, there is a tendency to underestimate PM levels, but results based on the EDGAR emission inventory show slightly better accuracy. However, improvements in the spatial and temporal disaggregation of emissions are still needed to properly represent PRD air quality. This study’s comparison of the three emission inventories’ data, as well as their PM simulating outcomes, generates recommendations for future improvements to atmospheric emission inventories and our understanding of air pollution problems in the PRD region.

Indoor air quality modeling: Compartmental approach with reactive chemistry

1982 ◽  
Vol 8 (1-6) ◽  
pp. 461-471 ◽  
Author(s):  
H. Özkaynak ◽  
P.B. Ryan ◽  
G.A. Allen ◽  
W.A. Turner
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Air Quality Modeling ◽  
Quality Modeling

Isoprene Emission Factors for Subtropical Street Trees for Regional Air Quality Modeling

2016 ◽  
Vol 45 (1) ◽  
pp. 234-243 ◽  
Author(s):  
Kristina A. Dunn-Johnston ◽  
Jürgen Kreuzwieser ◽  
Satoshi Hirabayashi ◽  
Lyndal Plant ◽  
Heinz Rennenberg ◽  
...  
Keyword(s):  
Air Quality ◽  
Air Quality Modeling ◽  
Emission Factors ◽  
Street Trees ◽  
Isoprene Emission ◽  
Quality Modeling ◽  
Regional Air Quality
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