Estimating accidental pollutant releases in the built environment from turbulent concentration signals
Autor: | N. Ben Salem, Lionel Soulhac, Pietro Salizzoni |
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Přispěvatelé: | ATMO Auvergne Rhône-Alpes, Laboratoire de Mecanique des Fluides et d'Acoustique (LMFA), École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS) |
Jazyk: | angličtina |
Rok vydání: | 2017 |
Předmět: |
Pollutant
Flammable liquid Atmospheric Science Engineering 010504 meteorology & atmospheric sciences Meteorology business.industry Turbulence Inversion (meteorology) Atmospheric model 010502 geochemistry & geophysics 01 natural sciences chemistry.chemical_compound chemistry 13. Climate action Mass flow rate [PHYS.MECA.MEFL]Physics [physics]/Mechanics [physics]/Fluid mechanics [physics.class-ph] business ComputingMilieux_MISCELLANEOUS 0105 earth and related environmental sciences General Environmental Science Wind tunnel Street network |
Zdroj: | Atmospheric Environment Atmospheric Environment, Elsevier, 2017, 148, pp.266-281. ⟨10.1016/j.atmosenv.2016.10.050⟩ |
ISSN: | 1352-2310 |
Popis: | We present an inverse atmospheric model to estimate the mass flow rate of an impulsive source of pollutant, whose position is known, from concentration signals registered at receptors placed downwind of the source. The originality of this study is twofold. Firstly, the inversion is performed using high-frequency fluctuating, i.e. turbulent, concentration signals. Secondly, the inverse algorithm is applied to a dispersion process within a dense urban canopy, at the district scale, and a street network model, SIRANERISK, is adopted. The model, which is tested against wind tunnel experiments, simulates the dispersion of short-duration releases of pollutant in different typologies of idealised urban geometries. Results allow us to discuss the reliability of the inverse model as an operational tool for crisis management and the risk assessments related to the accidental release of toxic and flammable substances. |
Databáze: | OpenAIRE |
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