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Regional source identification using Lagrangian stochastic particle dispersion and HYSPLIT backward-trajectory models.
Koracin, Darko; Vellore, Ramesh; Lowenthal, Douglas H; Watson, John G; Koracin, Julide; McCord, Travis; DuBois, David W; Chen, L W Antony; Kumar, Naresh; Knipping, Eladio M; Wheeler, Neil J M; Craig, Kenneth; Reid, Stephen.
Afiliación
  • Koracin D; Division of Atmospheric Sciences, Desert Research Institute, Reno, NV 89512, USA. Darko.Koracin@DRI.edu
J Air Waste Manag Assoc ; 61(6): 660-72, 2011 Jun.
Article en En | MEDLINE | ID: mdl-21751582
ABSTRACT
The main objective of this study was to investigate the capabilities of the receptor-oriented inverse mode Lagrangian Stochastic Particle Dispersion Model (LSPDM) with the 12-km resolution Mesoscale Model 5 (MM5) wind field input for the assessment of source identification from seven regions impacting two receptors located in the eastern United States. The LSPDM analysis was compared with a standard version of the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) single-particle backward-trajectory analysis using inputs from MM5 and the Eta Data Assimilation System (EDAS) with horizontal grid resolutions of 12 and 80 km, respectively. The analysis included four 7-day summertime events in 2002; residence times in the modeling domain were computed from the inverse LSPDM runs and HYPSLIT-simulated backward trajectories started from receptor-source heights of 100, 500, 1000, 1500, and 3000 m. Statistics were derived using normalized values of LSPDM- and HYSPLIT-predicted residence times versus Community Multiscale Air Quality model-predicted sulfate concentrations used as baseline information. From 40 cases considered, the LSPDM identified first- and second-ranked emission region influences in 37 cases, whereas HYSPLIT-MM5 (HYSPLIT-EDAS) identified the sources in 21 (16) cases. The LSPDM produced a higher overall correlation coefficient (0.89) compared with HYSPLIT (0.55-0.62). The improvement of using the LSPDM is also seen in the overall normalized root mean square error values of 0.17 for LSPDM compared with 0.30-0.32 for HYSPLIT. The HYSPLIT backward trajectories generally tend to underestimate near-receptor sources because of a lack of stochastic dispersion of the backward trajectories and to overestimate distant sources because of a lack of treatment of dispersion. Additionally, the HYSPLIT backward trajectories showed a lack of consistency in the results obtained from different single vertical levels for starting the backward trajectories. To alleviate problems due to selection of a backward-trajectory starting level within a large complex set of 3-dimensional winds, turbulence, and dispersion, results were averaged from all heights, which yielded uniform improvement against all individual cases.
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Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Monitoreo del Ambiente / Procesos Estocásticos / Contaminantes Atmosféricos Tipo de estudio: Diagnostic_studies / Prognostic_studies País/Región como asunto: America do norte Idioma: En Revista: J Air Waste Manag Assoc Asunto de la revista: SAUDE AMBIENTAL Año: 2011 Tipo del documento: Article País de afiliación: Estados Unidos
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Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Monitoreo del Ambiente / Procesos Estocásticos / Contaminantes Atmosféricos Tipo de estudio: Diagnostic_studies / Prognostic_studies País/Región como asunto: America do norte Idioma: En Revista: J Air Waste Manag Assoc Asunto de la revista: SAUDE AMBIENTAL Año: 2011 Tipo del documento: Article País de afiliación: Estados Unidos