Probability density function modelling of concentration in and above a canopy layer
Non-linear chemical reactions and other important processes depend on average concentration as well as on the fluctuations of concentration of chemical species. Probability density function (PDF) modelling is a powerful tool for evaluating in an exact manner chemical reaction depending on higher ord...
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| Veröffentlicht in: | Agricultural and forest meteorology 2005-11, Vol.133 (1), p.153-165 |
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| container_title | Agricultural and forest meteorology |
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| creator | Cassiani, M. Radicchi, A. Giostra, U. |
| description | Non-linear chemical reactions and other important processes depend on average concentration as well as on the fluctuations of concentration of chemical species. Probability density function (PDF) modelling is a powerful tool for evaluating in an exact manner chemical reaction depending on higher order concentration moments. However, only few studies are devoted to investigate applications of PDF modelling to pollutant dispersion and reactions in atmospheric turbulence. In real cases, very often the emissions/reactions of pollutants take place in and above a canopy layer (urban canopy, vegetation canopy); therefore, the vertical turbulence inhomogeneity plays a relevant role. This inhomogeneity can be efficiently taken into account by PDF approach. We implement a simplified one-dimensional model for the velocity composition PDF by coupling a Monte Carlo simulation and a micro-mixing model (IECM). Under a general assumption of horizontally homogeneous extensive plane source the proposed model is able to fairly reproduce all the concentration moments measured in a laboratory experiment on scalar dispersion within a model plant canopy. |
| doi_str_mv | 10.1016/j.agrformet.2005.09.007 |
| format | Article |
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Plant production</topic><topic>Micro-mixing model</topic><topic>Particle model</topic><topic>PDF modelling</topic><topic>plants</topic><topic>pollutants</topic><topic>simulation models</topic><topic>spatial variation</topic><topic>Turbulent dispersion</topic><topic>turbulent flow</topic><topic>wind</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cassiani, M.</creatorcontrib><creatorcontrib>Radicchi, A.</creatorcontrib><creatorcontrib>Giostra, U.</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Pollution Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Agricultural and forest meteorology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cassiani, M.</au><au>Radicchi, A.</au><au>Giostra, U.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Probability density function modelling of concentration in and above a canopy layer</atitle><jtitle>Agricultural and forest meteorology</jtitle><date>2005-11-10</date><risdate>2005</risdate><volume>133</volume><issue>1</issue><spage>153</spage><epage>165</epage><pages>153-165</pages><issn>0168-1923</issn><eissn>1873-2240</eissn><coden>AFMEEB</coden><abstract>Non-linear chemical reactions and other important processes depend on average concentration as well as on the fluctuations of concentration of chemical species. 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| fulltext | fulltext |
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| ispartof | Agricultural and forest meteorology, 2005-11, Vol.133 (1), p.153-165 |
| issn | 0168-1923 1873-2240 |
| language | eng |
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| source | Elsevier ScienceDirect Journals Complete |
| subjects | Agricultural and forest climatology and meteorology. Irrigation. Drainage Agronomy. Soil science and plant productions air pollution Biological and medical sciences Canopy chemical reactions Concentration PDF density Fundamental and applied biological sciences. Psychology General agronomy. Plant production Micro-mixing model Particle model PDF modelling plants pollutants simulation models spatial variation Turbulent dispersion turbulent flow wind |
| title | Probability density function modelling of concentration in and above a canopy layer |
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