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    Evaluation of a Fast-Running Urban Dispersion Modeling System Using Joint Urban 2003 Field Data

    Source: Journal of Applied Meteorology and Climatology:;2007:;volume( 046 ):;issue: 012::page 2165
    Author:
    Hendricks, Eric A.
    ,
    Diehl, Steve R.
    ,
    Burrows, Donald A.
    ,
    Keith, Robert
    DOI: 10.1175/2006JAMC1289.1
    Publisher: American Meteorological Society
    Abstract: An urban dispersion modeling system was evaluated using the Joint Urban 2003 field data. The system consists of a fast-running urban airflow model (RUSTIC, for Realistic Urban Spread and Transport of Intrusive Contaminants) that is coupled with a Lagrangian particle transport and diffusion model (MESO) that uses random-walk tracer diffusion techniques. Surface measurements from fast-response and integrated bag samplers were used to evaluate model performance in predicting near-field (less than 1 km from the source) dispersion in the Oklahoma City, Oklahoma, central business district. Comparisons were made for six different intense operating periods (IOPs) composed of three different release locations and stable nighttime and unstable daytime meteorological conditions. Overall, the models were shown to have an underprediction bias of 47%. A possible influence to this underprediction is that the higher density of sulfur hexafluoride in comparison with air was not taken into account in the simulations. The models were capable of predicting 42% of the sampler data within a factor of 2 and 83% of the data within a factor of 10. When the effects of large-scale atmospheric turbulence were included, the models were shown to be capable of predicting 51% of the data within a factor of 2. The results were further broken down into performance for varying meteorological conditions. For daytime releases, the models performed reasonably well; for nighttime releases the models performed more poorly. Two possible causes of the poorer nighttime comparisons are (a) an inability to model the suppression of vertical turbulence because of the assumption of isotropy in RUSTIC?s k?? turbulence model and (b) difficulty in modeling the light and variable inflow winds. The best comparisons were found for the three continuous daytime releases of IOP-4. It was hypothesized that these good comparisons were a result of steadier inflow conditions combined with the fact that the release site was more exposed and closer to the sodar used for the inflow meteorological conditions.
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      Evaluation of a Fast-Running Urban Dispersion Modeling System Using Joint Urban 2003 Field Data

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4206427
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    • Journal of Applied Meteorology and Climatology

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    contributor authorHendricks, Eric A.
    contributor authorDiehl, Steve R.
    contributor authorBurrows, Donald A.
    contributor authorKeith, Robert
    date accessioned2017-06-09T16:17:47Z
    date available2017-06-09T16:17:47Z
    date copyright2007/12/01
    date issued2007
    identifier issn1558-8424
    identifier otherams-65225.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4206427
    description abstractAn urban dispersion modeling system was evaluated using the Joint Urban 2003 field data. The system consists of a fast-running urban airflow model (RUSTIC, for Realistic Urban Spread and Transport of Intrusive Contaminants) that is coupled with a Lagrangian particle transport and diffusion model (MESO) that uses random-walk tracer diffusion techniques. Surface measurements from fast-response and integrated bag samplers were used to evaluate model performance in predicting near-field (less than 1 km from the source) dispersion in the Oklahoma City, Oklahoma, central business district. Comparisons were made for six different intense operating periods (IOPs) composed of three different release locations and stable nighttime and unstable daytime meteorological conditions. Overall, the models were shown to have an underprediction bias of 47%. A possible influence to this underprediction is that the higher density of sulfur hexafluoride in comparison with air was not taken into account in the simulations. The models were capable of predicting 42% of the sampler data within a factor of 2 and 83% of the data within a factor of 10. When the effects of large-scale atmospheric turbulence were included, the models were shown to be capable of predicting 51% of the data within a factor of 2. The results were further broken down into performance for varying meteorological conditions. For daytime releases, the models performed reasonably well; for nighttime releases the models performed more poorly. Two possible causes of the poorer nighttime comparisons are (a) an inability to model the suppression of vertical turbulence because of the assumption of isotropy in RUSTIC?s k?? turbulence model and (b) difficulty in modeling the light and variable inflow winds. The best comparisons were found for the three continuous daytime releases of IOP-4. It was hypothesized that these good comparisons were a result of steadier inflow conditions combined with the fact that the release site was more exposed and closer to the sodar used for the inflow meteorological conditions.
    publisherAmerican Meteorological Society
    titleEvaluation of a Fast-Running Urban Dispersion Modeling System Using Joint Urban 2003 Field Data
    typeJournal Paper
    journal volume46
    journal issue12
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/2006JAMC1289.1
    journal fristpage2165
    journal lastpage2179
    treeJournal of Applied Meteorology and Climatology:;2007:;volume( 046 ):;issue: 012
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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