Turbulent Dispersion of Non-uniformly Emitted Passive Tracers in the Convective Boundary Layer

Vinuesa, J.-F.; Galmarini, Stefano

doi:10.1007/s10546-009-9416-0

Cited by 9 publications

(3 citation statements)

References 20 publications

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“…However, this time is long enough to allow part of the NO 2 to be pushed away from the city center by the wind. Turbulent dispersion modeling studies like Vinuesa and Galmarini [] confirm that horizontal export could create such a vertical gradient, even at moderate wind speeds.…”

Section: Discussionmentioning

confidence: 99%

Linking NO₂ surface concentration and integrated content in the urban developed atmospheric boundary layer

Dieudonné

Ravetta

Pelon

et al. 2013

Geophysical Research Letters

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[1] A statistical linear relationship between NO 2 surface concentration and its integrated content in the atmospheric boundary layer (ABL) is established in urban conditions, using ABL depth as an ancillary parameter. This relationship relies on a unique data set including 20 months of observations from a ground-based UV-visible light spectrometer and from an aerosol lidar, both located in Paris inner city center. Measurements show that in all seasons, large vertical gradients of NO 2 concentration exist in Paris developed ABL, explaining why the average concentration retrieved is only about 25% of NO 2 surface concentration. This result shows that the commonly used hypothesis of constant mixing ratio in the ABL is not valid over urban areas, where large NO x emissions occur. Moreover, the relationship obtained is robust, and the studied area lacks of any particular orographic features, so that our results should be more widely applicable to pollution survey from space-borne observations. Citation: Dieudonné, E., F. Ravetta, J. Pelon, F. Goutail, and J.-P. Pommereau (2013), Linking NO 2 surface concentration and integrated content in the urban developed atmospheric boundary layer, Geophys. Res. Lett.,

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Section: Discussionmentioning

confidence: 99%

Linking NO₂ surface concentration and integrated content in the urban developed atmospheric boundary layer

Dieudonné

Ravetta

Pelon

et al. 2013

Geophysical Research Letters

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“…5). Large-eddy simulation modelling by Vinuesa and Galmarini (2009) demonstrate that a ground source with a mean wind speed of 5 m s −1 develops from an exponential profile to a constant value near the surface within a distance of 2 to 6 km from the source, suggesting that the constant value extrapolation to the surface may be a better physical representation of the plume. However, under ideal conditions, a constant emission of CH 4 from the upwind boreal forest would result in an exponential vertical profile of mixing ratio going into the box.…”

Section: Extrapolation Methodsmentioning

confidence: 99%

Determining air pollutant emission rates based on mass balance using airborne measurement data over the Alberta oil sands operations

et al. 2015

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Abstract. Top-down approaches to measure total integrated emissions provide verification of bottom-up, temporally resolved, inventory-based estimations. Aircraft-based measurements of air pollutants from sources in the Canadian oil sands were made in support of the Joint Canada-Alberta Implementation Plan for Oil Sands Monitoring during a summer intensive field campaign between 13 August and 7 September 2013. The measurements contribute to knowledge needed in support of the Joint Canada-Alberta Implementation Plan for Oil Sands Monitoring. This paper describes the top-down emission rate retrieval algorithm (TERRA) to determine facility emissions of pollutants, using SO 2 and CH 4 as examples, based on the aircraft measurements. In this algorithm, the flight path around a facility at multiple heights is mapped to a two-dimensional vertical screen surrounding the facility. The total transport of SO 2 and CH 4 through this screen is calculated using aircraft wind measurements, and facility emissions are then calculated based on the divergence theorem with estimations of box-top losses, horizontal and vertical turbulent fluxes, surface deposition, and apparent losses due to air densification and chemical reaction. Example calculations for two separate flights are presented. During an upset condition of SO 2 emissions on one day, these calculations are within 5 % of the industryreported, bottom-up measurements. During a return to normal operating conditions, the SO 2 emissions are within 11 % of industry-reported, bottom-up measurements. CH 4 emissions calculated with the algorithm are relatively constant within the range of uncertainties. Uncertainty of the emission rates is estimated as less than 30 %, which is primarily due to the unknown SO 2 and CH 4 mixing ratios near the surface below the lowest flight level.

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“…In addition, inhomogeneously distributed emissions of reacting species enhance chemical segregation. LES models can be used to assess how chemical reaction efficiencies are affected by heterogeneity in turbulent mixing and surface emissions (e.g., Auger and Legras, 2007;Krol et al, 2000;Ouwersloot et al, 2011;Vinuesa and Galmarini, 2009). Approaches to account for chemical segregation due to heterogeneous surface emissions are available in the literature (e.g., Vinken et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Advancing process understanding of ozone dry deposition across scales

Visser

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Chapter 2 European NO x emissions in WRF-Chem derived from OMI: impacts on summertime surface ozone Chapter 3 Ozone deposition impact assessments for forest canopies require accurate ozone flux partitioning on diurnal timescales Chapter 4 The combined impact of canopy stability and soil NO x exchange on ozone removal in a temperate deciduous forest Chapter 5 Simulating the effect of land surface heterogeneity on ozone dry deposition in a Large Eddy Simulation model 121 Chapter 6 General discussion and outlook 143 References 157 Acknowledgements 189 About the author 193 Since these two reactions combined do not result in production or loss of NO x and ozone under typical daytime circumstances, this is considered a chemical null-cycle called the photo-stationary state. Production of ozone follows a different pathway, which involves VOCs. Consider the following reaction chain for a generic hydrocarbon RH, consisting of a chain of carbon atoms bound to hydrogen atoms (Jacob, 1999): In contrast, the sources of NO x are primarily anthropogenic. NO x is a by-product of combustion reactions, and as such its dominant sources are road transport, energy generation and industry. Present-day global anthropogenic NO x emissions are estimated at ±37 Tg N yr −1 (Crippa et al., 2018). Besides anthropogenic sources, NO x has considerable 1.3 Observations 1.3.1 Surface concentration measurementsSurface concentration measurements are the most common type of ozone observations. These measurements are representative for surface ozone concentrations, which is important information from an air quality perspective. Additionally, the surface ozone concentration partly determines how much ozone is removed at the surface by dry deposition. Measurements can provide information about ozone air quality in cities, which is important for assessments of human exposure to air pollution. Since the photochemical ozone formation regime is often distinctly different in cities compared to remote regions, monitoring ozone in so-called rural background stations is important as well (Tarasick et al., 2019). These 1.4 Modelling the sources and sinks of boundary layer ozone 13 from several kilometers to hundreds of kilometers. In contrast, ozone deposition to forest canopies depends on forest properties such as canopy height, which is on the order of several tens of meters. Likewise, turbulent motions in the atmosphere happen on a timescale of several minutes, while the average lifetime of an ozone molecule in the troposphere is several weeks. Integrating these spatial and temporal scales in a single model is not possible given the current computational constraints. Therefore, we apply a range of different models that resolve the relevant processes at different spatial and temporal scales. The underlying principles of these models are introduced in this section. These models are in a so-called Eulerian form, meaning that the three-dimensional model domain is subdivided into fixed grid cells of a smaller size, through which air flows. Equation 1.5 is a so-ca...

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Turbulent Dispersion of Non-uniformly Emitted Passive Tracers in the Convective Boundary Layer

Cited by 9 publications

References 20 publications

Linking NO₂ surface concentration and integrated content in the urban developed atmospheric boundary layer

Linking NO₂ surface concentration and integrated content in the urban developed atmospheric boundary layer

Determining air pollutant emission rates based on mass balance using airborne measurement data over the Alberta oil sands operations

Advancing process understanding of ozone dry deposition across scales

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Turbulent Dispersion of Non-uniformly Emitted Passive Tracers in the Convective Boundary Layer

Cited by 9 publications

References 20 publications

Linking NO2 surface concentration and integrated content in the urban developed atmospheric boundary layer

Linking NO2 surface concentration and integrated content in the urban developed atmospheric boundary layer

Determining air pollutant emission rates based on mass balance using airborne measurement data over the Alberta oil sands operations

Advancing process understanding of ozone dry deposition across scales

Contact Info

Product

Resources

About

Linking NO₂ surface concentration and integrated content in the urban developed atmospheric boundary layer

Linking NO₂ surface concentration and integrated content in the urban developed atmospheric boundary layer