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Titlebook: Advances in Air Pollution Modeling for Environmental Security; Proceedings of the N István Faragó,Krassimir Georgiev,ágnes Havasi Conferenc

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發(fā)表于 2025-3-21 16:23:51 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Advances in Air Pollution Modeling for Environmental Security
期刊簡稱Proceedings of the N
影響因子2023István Faragó,Krassimir Georgiev,ágnes Havasi
視頻videohttp://file.papertrans.cn/147/146644/146644.mp4
發(fā)行地址Contains latest results in air pollution modeling.Gives useful ideas for the computer realisation of different models from different countries.Provides newly developed numerical algorithms for use in
學(xué)科分類NATO Science Series: IV:
圖書封面Titlebook: Advances in Air Pollution Modeling for Environmental Security; Proceedings of the N István Faragó,Krassimir Georgiev,ágnes Havasi Conferenc
影響因子The protection of our environment is one of the major problems in the society. More and more important physical and chemical mechanisms are to be added to the air pollution models. Moreover, new reliable and robust control strategies for keeping the pollution caused by harmful compounds under certain safe levels have to be developed and used in a routine way. Well based and correctly analyzed large mathematical models can successfully be used to solve this task. The use of such models leads to the treatment of huge computational tasks. The efficient solution of such problems requires combined research from specialists working in different fields. The aim of the NATO Advanced Research Workshop (NATO ARW) entitled “Advances in Air Pollution Modeling for Environmental Security” was to invite specialists from all areas related to large-scale air pollution modeling and to exchange information and plans for future actions towards improving the reliability and the scope of application of the existing air pollution models and tools. This ARW was planned to be an interdisciplinary event, which provided a forum for discussions between physicists, meteorologists, chemists, computer scientists
Pindex Conference proceedings 20051st edition
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沙發(fā)
發(fā)表于 2025-3-21 23:04:49 | 只看該作者
https://doi.org/10.1007/3-7643-7655-4kes it possible to apply the approach of functions of influence for the case of nonlinear chemistry. Some applications of the functions of influence in pollution abatement strategies, model sensitivity studies and model parameters optimization are discussed.
板凳
發(fā)表于 2025-3-22 01:54:59 | 只看該作者
地板
發(fā)表于 2025-3-22 05:58:39 | 只看該作者
https://doi.org/10.1007/3-7643-7656-2on and aerosol dynamics in two specific regions as well as formation of sulfate aerosol particles in the northern hemisphere. A comparison is given for calculated and measured ozone concentration data.
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發(fā)表于 2025-3-22 10:41:55 | 只看該作者
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發(fā)表于 2025-3-22 16:15:47 | 只看該作者
https://doi.org/10.1007/3-7643-7655-4ested in a set of numerical experiments with respect to the splitting error. The computational properties of splitting schemes are analysed from algorithmic point of view. Parallel properties of these splitting schemes are also discussed.
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發(fā)表于 2025-3-22 17:22:43 | 只看該作者
Conference proceedings 20051st editiond to the air pollution models. Moreover, new reliable and robust control strategies for keeping the pollution caused by harmful compounds under certain safe levels have to be developed and used in a routine way. Well based and correctly analyzed large mathematical models can successfully be used to
8#
發(fā)表于 2025-3-22 22:43:16 | 只看該作者
1568-1238 es.Provides newly developed numerical algorithms for use in The protection of our environment is one of the major problems in the society. More and more important physical and chemical mechanisms are to be added to the air pollution models. Moreover, new reliable and robust control strategies for ke
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發(fā)表于 2025-3-23 03:07:25 | 只看該作者
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發(fā)表于 2025-3-23 05:51:12 | 只看該作者
https://doi.org/10.1007/3-7643-7656-2seen that both ANN methods provided superior performances to conventional multi linear regression, MLR, method. The ANN performances were found satisfactory considering the selected performance criteria and the testing stage plots.
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