Kernel Density Reconstruction for Lagrangian Photochemical Modelling. Part 1: Model Formulation and Preliminary Tests

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In this paper a new approach to photochemical modeling is investigated and a lagrangian particle model named Photochemical Lagrangian Particle Model (PLPM) is described. Lagrangian particle models are a consolidated tool to deal with the dispersion of pollutants in the atmosphere. Good results have been obtained dealing with inert pollutants. In recent years, a number of pioneering works have shown as Lagrangian models can be of great interest when dealing with photochemistry, provided that special care is given in the reconstruction of chemicals concentration in the atmosphere. Density reconstruction can be performed through the so called ''box counting'' method: an ... continued below

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Monforti, F; Vitali, L; Bellasio, R & Bianconi, R February 21, 2006.

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In this paper a new approach to photochemical modeling is investigated and a lagrangian particle model named Photochemical Lagrangian Particle Model (PLPM) is described. Lagrangian particle models are a consolidated tool to deal with the dispersion of pollutants in the atmosphere. Good results have been obtained dealing with inert pollutants. In recent years, a number of pioneering works have shown as Lagrangian models can be of great interest when dealing with photochemistry, provided that special care is given in the reconstruction of chemicals concentration in the atmosphere. Density reconstruction can be performed through the so called ''box counting'' method: an Eulerian grid for chemistry is introduced and density is computed counting particles in each box. In this way one of the main advantages of the Lagrangian approach, the grid independence, is lost. Photochemical reactions are treated in PLPM by means of the complex chemical mechanism SAPRC90 and four density reconstruction methods have been developed, based on the kernel density estimator approach, in order to obtain grid-free accurate concentrations. These methods are all fully grid-free but they differ each other in considering local or global features of the particles distribution, in treating the Cartesian directions separately or together and in being based on receptors or particles positions in space.

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PDF-file: 22 pages; size: 0.7 Mbytes

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  • Journal Name: Atmospheric Environment, vol. 40, n/a, January 12, 2006, pp. 7770-7785

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  • Report No.: UCRL-JRNL-219202
  • Grant Number: W-7405-ENG-48
  • Office of Scientific & Technical Information Report Number: 899438
  • Archival Resource Key: ark:/67531/metadc879515

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Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

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  • February 21, 2006

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  • Sept. 22, 2016, 2:13 a.m.

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  • Dec. 7, 2016, 4:28 p.m.

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Monforti, F; Vitali, L; Bellasio, R & Bianconi, R. Kernel Density Reconstruction for Lagrangian Photochemical Modelling. Part 1: Model Formulation and Preliminary Tests, article, February 21, 2006; Livermore, California. (digital.library.unt.edu/ark:/67531/metadc879515/: accessed January 16, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.