Eulerian and Lagrangian Approaches for Modelling of Air Quality
被引:3
|
作者:
Leelossy, Adam
论文数: 0引用数: 0
h-index: 0
机构:
Eotvos Lorand Univ, Dept Meteorol, Budapest, HungaryEotvos Lorand Univ, Dept Meteorol, Budapest, Hungary
Leelossy, Adam
[1
]
Mona, Tamas
论文数: 0引用数: 0
h-index: 0
机构:
Eotvos Lorand Univ, Dept Meteorol, Budapest, HungaryEotvos Lorand Univ, Dept Meteorol, Budapest, Hungary
Mona, Tamas
[1
]
Meszaros, Robert
论文数: 0引用数: 0
h-index: 0
机构:
Eotvos Lorand Univ, Dept Meteorol, Budapest, HungaryEotvos Lorand Univ, Dept Meteorol, Budapest, Hungary
Meszaros, Robert
[1
]
Lagzi, Istvan
论文数: 0引用数: 0
h-index: 0
机构:
Budapest Univ Technol & Econ, Dept Phys, Budapest, HungaryEotvos Lorand Univ, Dept Meteorol, Budapest, Hungary
Lagzi, Istvan
[2
]
Havasi, Agnes
论文数: 0引用数: 0
h-index: 0
机构:
Eotvos Lorand Univ, Dept Appl Anal & Computat Math, Budapest, Hungary
MTA ELTE Numer Anal & Large Networks Res Grp, Budapest, HungaryEotvos Lorand Univ, Dept Meteorol, Budapest, Hungary
Havasi, Agnes
[3
,4
]
机构:
[1] Eotvos Lorand Univ, Dept Meteorol, Budapest, Hungary
[2] Budapest Univ Technol & Econ, Dept Phys, Budapest, Hungary
Simulation of the dispersion, chemical and physical transformations of air pollutants in the atmosphere is one of themost important and challenging tasks in environment science. Computations should be fast and the results should be precise to be used in decision support. There are two main approaches to solve atmospheric transport equations that describe the spatiotemporal variation of the concentrations of the air pollutants. These are Eulerian and Lagrangian models, and usually both models can be used in simulations. However, there are some cases where one of them can perform better than the other one. An appropriate choice and usage of a proper approach should be crucial to obtain sufficiently accurate results in a costefficient way.
机构:
Natl Res Council Italy, Inst Marine Engn, CNR INM, Via Vallerano 139, I-00128 Rome, ItalyNatl Res Council Italy, Inst Marine Engn, CNR INM, Via Vallerano 139, I-00128 Rome, Italy
Posa, Antonio
Broglia, Riccardo
论文数: 0引用数: 0
h-index: 0
机构:
Natl Res Council Italy, Inst Marine Engn, CNR INM, Via Vallerano 139, I-00128 Rome, ItalyNatl Res Council Italy, Inst Marine Engn, CNR INM, Via Vallerano 139, I-00128 Rome, Italy
机构:
Colorado State Univ, Natl Pk Serv, Inst Res Atmosphere, Ft Collins, CO 80523 USAColorado State Univ, Natl Pk Serv, Inst Res Atmosphere, Ft Collins, CO 80523 USA
Schichtel, BA
Barna, MG
论文数: 0引用数: 0
h-index: 0
机构:
Colorado State Univ, Natl Pk Serv, Inst Res Atmosphere, Ft Collins, CO 80523 USAColorado State Univ, Natl Pk Serv, Inst Res Atmosphere, Ft Collins, CO 80523 USA
Barna, MG
Gebhart, KA
论文数: 0引用数: 0
h-index: 0
机构:
Colorado State Univ, Natl Pk Serv, Inst Res Atmosphere, Ft Collins, CO 80523 USAColorado State Univ, Natl Pk Serv, Inst Res Atmosphere, Ft Collins, CO 80523 USA
Gebhart, KA
Malm, WC
论文数: 0引用数: 0
h-index: 0
机构:
Colorado State Univ, Natl Pk Serv, Inst Res Atmosphere, Ft Collins, CO 80523 USAColorado State Univ, Natl Pk Serv, Inst Res Atmosphere, Ft Collins, CO 80523 USA
机构:
Stockholm Univ, Dept Meteorol, Stockholm, Sweden
Stockholm Univ, Bolin Ctr Climate Res, Stockholm, SwedenStockholm Univ, Dept Meteorol, Stockholm, Sweden
You, Cheng
Tjernstrom, Michael
论文数: 0引用数: 0
h-index: 0
机构:
Stockholm Univ, Dept Meteorol, Stockholm, Sweden
Stockholm Univ, Bolin Ctr Climate Res, Stockholm, SwedenStockholm Univ, Dept Meteorol, Stockholm, Sweden
Tjernstrom, Michael
Devasthale, Abhay
论文数: 0引用数: 0
h-index: 0
机构:
Swedish Meteorol & Hydrol Inst, Res & Dev Dept, Remote Sensing Unit, Norrkoping, SwedenStockholm Univ, Dept Meteorol, Stockholm, Sweden