| DOI: | 10.1016/j.atmosenv.2015.05.030
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| Scopus记录号: | 2-s2.0-84930684748
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| 论文题名: | Application of genetic algorithm for the simultaneous identification of atmospheric pollution sources |
| 作者: | Cantelli A; , D'Orta F; , Cattini A; , Sebastianelli F; , Cedola L
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| 刊名: | Atmospheric Environment
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| ISSN: | 0168-2563
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| EISSN: | 1573-515X
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| 出版年: | 2015
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| 卷: | 115 | | 起始页码: | 36
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| 结束页码: | 46
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| 语种: | 英语
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| 英文关键词: | Atmospheric pollution
; Genetic algorithm
; Inverse model
; Multi-source
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| Scopus关键词: | Air pollution
; Algorithms
; Computation theory
; Computational methods
; Genetic algorithms
; Atmospheric pollution
; Computational model
; Concentric semicircles
; Inverse modeling
; Multi-Sources
; Pollutant concentration
; Simultaneous identification
; Steady-state condition
; Pollution
; atmospheric modeling
; atmospheric pollution
; computer simulation
; concentration (composition)
; emission inventory
; Gaussian method
; genetic algorithm
; identification method
; inverse analysis
; pollutant source
; pollution monitoring
; prairie
; steady-state equilibrium
; advection
; air pollution
; Article
; atmosphere
; calculation
; concentration (parameters)
; dispersion
; genetic algorithm
; kernel method
; meteorology
; neighborhood
; priority journal
; velocity
; wind
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| Scopus学科分类: | Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
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| 英文摘要: | A computational model is developed for retrieving the positions and the emission rates of unknown pollution sources, under steady state conditions, starting from the measurements of the concentration of the pollutants. The approach is based on the minimization of a fitness function employing a genetic algorithm paradigm. The model is tested considering both pollutant concentrations generated through a Gaussian model in 25 points in a 3-D test case domain (1000m×1000m×50m) and experimental data such as the Prairie Grass field experiments data in which about 600 receptors were located along five concentric semicircle arcs and the Fusion Field Trials 2007. The results show that the computational model is capable to efficiently retrieve up to three different unknown sources. © 2015 Elsevier Ltd. |
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| 资源类型: | 期刊论文
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/81695
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| Appears in Collections: | 气候变化事实与影响
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作者单位: | Department of Mechanical and Aerospace Engineering, University of Rome 'Sapienza', Via Eudossiana, 18, Rome, Italy
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| Recommended Citation: | |
Cantelli A,, D'Orta F,, Cattini A,et al. Application of genetic algorithm for the simultaneous identification of atmospheric pollution sources[J]. Atmospheric Environment,2015-01-01,115
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