Uncertainties in the compilation of spatially resolved emission inventories — evidence from a comparative study

Lindley, Sarah; Conlan, D.E.; Raper, David; Watson, A.F.R.

doi:10.1016/s1352-2310(99)00325-8

Cited by 22 publications

(15 citation statements)

References 9 publications

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“…One such application of inverse modelling techniques aims at reducing high uncertainties diagnosed in spatially resolved emissions inventories (e.g. Lindley et al, 2000). Again, both variational (e.g.…”

Section: Introductionmentioning

confidence: 99%

Constraining surface emissions of air pollutants using inverse modelling: method intercomparison and a new two-step two-scale regularization approach

Saide

Bocquet

Osses

et al. 2011

Tellus B: Chemical and Physical Meteorology

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A B S T R A C T When constraining surface emissions of air pollutants using inverse modelling one often encounters spurious corrections to the inventory at places where emissions and observations are colocated, referred to here as the colocalization problem. Several approaches have been used to deal with this problem: coarsening the spatial resolution of emissions; adding spatial correlations to the covariance matrices; adding constraints on the spatial derivatives into the functional being minimized; and multiplying the emission error covariance matrix by weighting factors. Intercomparison of methods for a carbon monoxide inversion over a city shows that even though all methods diminish the colocalization problem and produce similar general patterns, detailed information can greatly change according to the method used ranging from smooth, isotropic and short range modifications to not so smooth, non-isotropic and long range modifications. Poisson (non-Gaussian) and Gaussian assumptions both show these patterns, but for the Poisson case the emissions are naturally restricted to be positive and changes are given by means of multiplicative correction factors, producing results closer to the true nature of emission errors. Finally, we propose and test a new two-step, two-scale, fully Bayesian approach that deals with the colocalization problem and can be implemented for any prior density distribution.

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Section: Introductionmentioning

confidence: 99%

Constraining surface emissions of air pollutants using inverse modelling: method intercomparison and a new two-step two-scale regularization approach

Saide

Bocquet

Osses

et al. 2011

Tellus B: Chemical and Physical Meteorology

View full text Add to dashboard Cite

show abstract

“…It is difficult to verify emissions once an emissions database has been compiled, and without transparency in the calculations it is nearly impossible. 5,6,19 Finally, including realistic uncertainties in estimates of emissions would be of great value for all users. …”

Section: Discussionmentioning

confidence: 99%

“…Lindley et al 6 found that differences in reported emissions from point sources of carbon monoxide, nitrogen oxides, volatile organic compounds, particulate matter, and sulfur dioxide ranged from Ϫ47.7% to ϩ546% when comparing a local inventory with a regional inventory in the United Kingdom. Similarly, Placet et al 4 showed that aggregate EPA and ARB estimates for nitrogen oxide/oxides of nitrogen emissions in 1995 differed by 20% on a statewide level.…”

Section: Discrepancies Amongmentioning

confidence: 99%

Stationary Sources of Airborne Lead: A Comparison of Emissions Data for Southern California

Harris

Fifarek

Davidson

et al. 2006

Journal of the Air & Waste Management Association

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“…However, incomplete and imperfect monitoring of activity rates together with the associated interannual, seasonal, and even intraday variability in emission factors for each polluting activity can result in large total uncertainties [ van Leeuwen and van der Werf , ]. These uncertainties have been calculated to be larger than the targeted emission reductions themselves [ Peylin et al ., ; Lindley et al ., ].…”

Section: Introductionmentioning

confidence: 99%

Area fluxes of carbon dioxide, methane, and carbon monoxide derived from airborne measurements around Greater London: A case study during summer 2012

et al. 2014

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Airborne measurements of thermodynamic properties and carbon dioxide (CO 2 ), methane (CH 4 ), and carbon monoxide (CO) mole fractions were recorded on board the FAAM BAe-146 UK research aircraft and used to characterize the inflow and outflow from Greater London on 30 July 2012. All three trace gases were observed to be significantly enhanced downwind of Greater London with spatially resolved plumes of comparable extent and position. A mass budget calculation using a box model approach (and uncertainty propagation) was used to determine net regional fluxes of 21 ± 3 μmol CO 2 m À2 s À1 , 0.13 ± 0.02 μmol CH 4 m À2 s À1 , and 0.12 ± 0.02 μmol CO m À2 s À1 for Greater London. These fluxes are comparable with simultaneous surface observations and previous studies in urban environments. A comparison was made with the 2010 UK National Atmospheric Emissions Inventory (NAEI), and fluxes from this study are found to be factors 2.3 for CO 2 and 2.2 for CO larger than those estimated by the spatially disaggregated NAEI (2011) for Greater London. Fluxes of CH 4 were found to be a factor 3.4 larger than the UK NAEI (2009). The efficacy of this mass balance approach, in general, is also discussed in terms of key assumptions and uncertainties, and we offer advice for future studies on how uncertainties could be reduced.

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Uncertainties in the compilation of spatially resolved emission inventories — evidence from a comparative study

Cited by 22 publications

References 9 publications

Constraining surface emissions of air pollutants using inverse modelling: method intercomparison and a new two-step two-scale regularization approach

Constraining surface emissions of air pollutants using inverse modelling: method intercomparison and a new two-step two-scale regularization approach

Stationary Sources of Airborne Lead: A Comparison of Emissions Data for Southern California

Area fluxes of carbon dioxide, methane, and carbon monoxide derived from airborne measurements around Greater London: A case study during summer 2012

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