Evaluation of the influence of micrometeorological data on concentration estimates
A dispersion model for continuous releases of pollutants in the atmospheric boundary layer is applied to study the influence on modelled concentrations of different estimates of the key micrometeorological variables that represent the dispersion processes. The modelling approach is based on the adve...
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| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09574352_v55_n1-4_p113_Ulke http://hdl.handle.net/20.500.12110/paper_09574352_v55_n1-4_p113_Ulke |
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paper:paper_09574352_v55_n1-4_p113_Ulke2023-06-08T15:56:35Z Evaluation of the influence of micrometeorological data on concentration estimates Ulke, Ana Graciela Air pollution modelling Dispersion model Model evaluation Prairie grass Advection Atmospheric boundary layer Atmospheric movements Advection-diffusion equation Air pollution modelling Crosswind integrated concentrations Dispersion modeling Model evaluation Prairie Grass Turbulent mechanism Unstable conditions Air pollution airflow boundary layer concentration (composition) data acquisition dispersivity estimation method micrometeorology parameterization pollution monitoring prairie turbulence air pollution Article boundary layer dispersion meteorology methodology prairie A dispersion model for continuous releases of pollutants in the atmospheric boundary layer is applied to study the influence on modelled concentrations of different estimates of the key micrometeorological variables that represent the dispersion processes. The modelling approach is based on the advection-diffusion equation and includes profiles of wind and eddy diffusivity for the entire atmospheric boundary layer. Their functional forms depend on relevant parameters that represent the turbulent mechanisms in a wide range of stabilities. The Prairie Grass experiments were considered for the evaluation. The model performed satisfactorily in the estimation of the near surface crosswind integrated concentrations. The distinct micrometeorological parameters caused, in general, minor differences in the concentrations. However, a greater impact was found during very stable or unstable conditions. In consequence, in these particular situations, the methodologies to obtain the micrometeorological parameters must be carefully analysed. Copyright © 2014 Inderscience Enterprises Ltd. Fil:Ulke, A.G. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2014 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09574352_v55_n1-4_p113_Ulke http://hdl.handle.net/20.500.12110/paper_09574352_v55_n1-4_p113_Ulke |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
Air pollution modelling Dispersion model Model evaluation Prairie grass Advection Atmospheric boundary layer Atmospheric movements Advection-diffusion equation Air pollution modelling Crosswind integrated concentrations Dispersion modeling Model evaluation Prairie Grass Turbulent mechanism Unstable conditions Air pollution airflow boundary layer concentration (composition) data acquisition dispersivity estimation method micrometeorology parameterization pollution monitoring prairie turbulence air pollution Article boundary layer dispersion meteorology methodology prairie |
| spellingShingle |
Air pollution modelling Dispersion model Model evaluation Prairie grass Advection Atmospheric boundary layer Atmospheric movements Advection-diffusion equation Air pollution modelling Crosswind integrated concentrations Dispersion modeling Model evaluation Prairie Grass Turbulent mechanism Unstable conditions Air pollution airflow boundary layer concentration (composition) data acquisition dispersivity estimation method micrometeorology parameterization pollution monitoring prairie turbulence air pollution Article boundary layer dispersion meteorology methodology prairie Ulke, Ana Graciela Evaluation of the influence of micrometeorological data on concentration estimates |
| topic_facet |
Air pollution modelling Dispersion model Model evaluation Prairie grass Advection Atmospheric boundary layer Atmospheric movements Advection-diffusion equation Air pollution modelling Crosswind integrated concentrations Dispersion modeling Model evaluation Prairie Grass Turbulent mechanism Unstable conditions Air pollution airflow boundary layer concentration (composition) data acquisition dispersivity estimation method micrometeorology parameterization pollution monitoring prairie turbulence air pollution Article boundary layer dispersion meteorology methodology prairie |
| description |
A dispersion model for continuous releases of pollutants in the atmospheric boundary layer is applied to study the influence on modelled concentrations of different estimates of the key micrometeorological variables that represent the dispersion processes. The modelling approach is based on the advection-diffusion equation and includes profiles of wind and eddy diffusivity for the entire atmospheric boundary layer. Their functional forms depend on relevant parameters that represent the turbulent mechanisms in a wide range of stabilities. The Prairie Grass experiments were considered for the evaluation. The model performed satisfactorily in the estimation of the near surface crosswind integrated concentrations. The distinct micrometeorological parameters caused, in general, minor differences in the concentrations. However, a greater impact was found during very stable or unstable conditions. In consequence, in these particular situations, the methodologies to obtain the micrometeorological parameters must be carefully analysed. Copyright © 2014 Inderscience Enterprises Ltd. |
| author |
Ulke, Ana Graciela |
| author_facet |
Ulke, Ana Graciela |
| author_sort |
Ulke, Ana Graciela |
| title |
Evaluation of the influence of micrometeorological data on concentration estimates |
| title_short |
Evaluation of the influence of micrometeorological data on concentration estimates |
| title_full |
Evaluation of the influence of micrometeorological data on concentration estimates |
| title_fullStr |
Evaluation of the influence of micrometeorological data on concentration estimates |
| title_full_unstemmed |
Evaluation of the influence of micrometeorological data on concentration estimates |
| title_sort |
evaluation of the influence of micrometeorological data on concentration estimates |
| publishDate |
2014 |
| url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09574352_v55_n1-4_p113_Ulke http://hdl.handle.net/20.500.12110/paper_09574352_v55_n1-4_p113_Ulke |
| work_keys_str_mv |
AT ulkeanagraciela evaluationoftheinfluenceofmicrometeorologicaldataonconcentrationestimates |
| _version_ |
1768543381775974400 |