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Atmosphere 2018, 9(10), 404; https://doi.org/10.3390/atmos9100404

Incorporation of Numerical Plume Rise Algorithms in the Lagrangian Particle Model LAPMOD and Validation against the Indianapolis and Kincaid Datasets

1
Enviroware srl, Via Dante 142, 20863 Concorezzo (MB), Italy
2
The EnviroComp Institute, 500 Stone Pine Road, #3038, Half Moon Bay, CA 94019, USA
*
Author to whom correspondence should be addressed.
Received: 10 September 2018 / Revised: 9 October 2018 / Accepted: 12 October 2018 / Published: 16 October 2018
(This article belongs to the Section Air Quality)
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Abstract

This paper describes the methodology used to incorporate two numerical plume rise algorithms, one by Janicke and Janicke and another by Webster and Thomson, into the Lagrangian particle model LAPMOD. LAPMOD is fully interfaced with the diagnostic meteorological model CALMET, which is part of the widely used CALPUFF modeling system. LAPMOD can also use the meteorological input files produced with the AERMET meteorological processor of the US-EPA recommended model AERMOD. This paper outlines the theory behind the two plume rise algorithms and the details of their implementation in LAPMOD. The paper also provides the results of the evaluation of LAPMOD and its included plume rise algorithms against the well-known Indianapolis and Kincaid SF6 and SO2 field studies and tracer experiments. The performance of LAPMOD is successfully evaluated with the Model Evaluation Kit and compared with that of other air quality models. View Full-Text
Keywords: Lagrangian particle model; plume rise; wet plume; model validation Lagrangian particle model; plume rise; wet plume; model validation
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Bellasio, R.; Bianconi, R.; Mosca, S.; Zannetti, P. Incorporation of Numerical Plume Rise Algorithms in the Lagrangian Particle Model LAPMOD and Validation against the Indianapolis and Kincaid Datasets. Atmosphere 2018, 9, 404.

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