Application of genetic algorithm for the simultaneous identification of atmospheric pollution sources
作者： A. Cantelli , F. D'Orta , A. Cattini , F. Sebastianelli , L. Cedola
DOI: 10.1016/J.ATMOSENV.2015.05.030
关键词: Minification 、 Gaussian network model 、 Environmental science 、 Steady state (electronics) 、 Biological system 、 Identification (information) 、 Simulation 、 Pollution 、 Genetic algorithm 、 Fitness function 、 Multi-source
摘要: Abstract A computational model is developed for retrieving the positions and emission rates of unknown pollution sources, under steady state conditions, starting from measurements concentration pollutants. The approach based on minimization a fitness function employing genetic algorithm paradigm. tested considering both pollutant concentrations generated through Gaussian in 25 points 3-D test case domain (1000m × 1000m × 50 m) experimental data such as Prairie Grass field experiments which about 600 receptors were located along five concentric semicircle arcs Fusion Field Trials 2007. results show that capable to efficiently retrieve up three different sources.
harvard.edu
elsevier.com
core.ac.uk 
sci-hub.se 参考文章(37)
Robert B. Heckendorn, Soraya Rana, Darrell Whitley, The Island Model Genetic Algorithm: On Separability, Population Size and Convergence computer and information technology. ,vol. 7, pp. 33- 47 ,(2015)
John H. Holland, Adaptation in natural and artificial systems ,(1992)
Yongsheng Fang, Jun Li, A Review of Tournament Selection in Genetic Programming Advances in Computation and Intelligence. pp. 181- 192 ,(2010) , 10.1007/978-3-642-16493-4_19
David E. Goldberg, The Design of Innovation: Lessons from and for Competent Genetic Algorithms ,(2002)
Vladimir Penenko, Alexander Baklanov, Elena Tsvetova, Methods of sensitivity theory and inverse modeling for estimation of source parameters Future Generation Computer Systems. ,vol. 18, pp. 661- 671 ,(2002) , 10.1016/S0167-739X(02)00031-6
Sue Ellen Haupt, A demonstration of coupled receptor/dispersion modeling with a genetic algorithm Atmospheric Environment. ,vol. 39, pp. 7181- 7189 ,(2005) , 10.1016/J.ATMOSENV.2005.08.027
John M. Stockie, The Mathematics of Atmospheric Dispersion Modeling Siam Review. ,vol. 53, pp. 349- 372 ,(2011) , 10.1137/10080991X
G.I. Marchuk, V. Shutyaev, G. Bocharov, Adjoint equations and analysis of complex systems: application to virus infection modelling Journal of Computational and Applied Mathematics. ,vol. 184, pp. 177- 204 ,(2005) , 10.1016/J.CAM.2004.11.050
Janusz A. Pudykiewicz, APPLICATION OF ADJOINT TRACER TRANSPORT EQUATIONS FOR EVALUATING SOURCE PARAMETERS Atmospheric Environment. ,vol. 32, pp. 3039- 3050 ,(1998) , 10.1016/S1352-2310(97)00480-9
Sarvesh Kumar Singh, Raj Rani, A least-squares inversion technique for identification of a point release: Application to Fusion Field Trials 2007 Atmospheric Environment. ,vol. 92, pp. 104- 117 ,(2014) , 10.1016/J.ATMOSENV.2014.04.012