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The National Atmospheric Emissions Inventory

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Point sources- combination of random independent errors. Area sources- one EF, ... However estimates from Vincent and Passant (2006) for Cd, Pb, As, Ni suggested ... – PowerPoint PPT presentation

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Title: The National Atmospheric Emissions Inventory


1
Uncertainties in the UK Heavy Metal Emissions
Inventory
Chris Dore AEA Energy and Environment
UK Emissions Inventory Programme Funded by Defra
RMP2106
2
Contents
  • 1. Principles of Uncertainty
  • 2. Combustion Sources
  • 3. Non-Combustion Sources
  • 4. Missing Non-Anthropogenic Sources
  • 5. Mapping Emission Estimates
  • 6. Conclusions

3
1. Principles of Uncertainty
  • Combination of uncertainties
  • Point sources- combination of random independent
    errors
  • Area sources- one EF, prone to bias.

4
1. Principles of Uncertainty
5
2. Combustion SourcesSolid
  • Coal, Coke, Anthracite SSF
  • Important for As, Cd, Cr, Pb, Be and a major
    source of Mn, Hg Se
  • Point Sources
  • Well characterised, and emissions data are
    reported. Hence no bias is expected.
  • But possible issues associated with extrapolation
    of few measurements

6
2. Combustion Sources Solid
  • Coal, Coke, Anthracite SSF
  • In 2005, over 2/3 of UK steam coal was imported
  • 80 from Russia/South Africa, 13 from
    Columbia/Indonesia.
  • Distribution with the ranges shown is not known.
  • Fugitive emissions from Coke Ovens
  • Area Sources
  • Median values taken from a wide range
  • Fuels assumed to be the same as coal
  • Limited information on PM control
  • Potential for significant bias

7
2. Combustion Sources Petroleum
  • Petroleum Fuels
  • Important for all metals except Cr and Hg, major
    sources of Be, Cd, Ni, Se, V Zn
  • Metal emissions are primarily associated with
    petroleum coke, waste lubricants fuel oil
    (higher metal contents)
  • However, large volumes of gas oil, DERV and
    petrol are consumed, giving notable contribution,
    despite their lower metal contents.
  • Point Sources
  • Variability would result in little impact on
    emissions total
  • Area Sources
  • Metal content taken from literature values
  • Fuel oil variability of 2-4 times the mean value
  • Gas oil/DERV very variable metal content data
  • Waste lubricants (10 of Pb) factor of 10
    variability metal content

8
2. Combustion Sources Pb in Petrol
  • Pb in Petrol, and Unleaded Petrol
  • UK uses EFs based on measurement data
  • Pb content of unleaded 0.04 mg/l (UKPIA 2003)
  • 70 assumed to be released to air
  • Small when compared to the limit value (5 mg/l)

9
2. Combustion Sources
  • Burning of CCA Treated Wood
  • CCA Cu, Cr As treated wood.
  • Major source for As, important for Cr
  • Data available on As consumed in CCA
    preservatives.
  • But v difficult to estimate the quantities of
    wood burned
  • Cr and Cu emissions extrapolated from As data
  • Estimates could be out by a factor of 20.
  • Cremation
  • Well characterised in the UK
  • Uncertainties of Hg would give a maximum impact
    of 10 increase to the UK total.
  • Other Fuels
  • Scrap tyres, MSW and wood in power stations
  • Not a particularly large source

10
3. Non-Combustion Sources
  • Metal Industry Processes
  • Important for most metals
  • Includes processes at steelworks (sintering and
    blast, basic oxygen, electric oxygen
    furnaces), foundries, 1 Al production, 2 Pb
    Al production, and various other non-ferrous
    metal processes
  • Variety of point source data and literature data.
  • Estimates are likely to only include stack
    emissions, and fugitives are therefore not
    accounted for.
  • Chloroalkali Processes
  • Important for Hg
  • The main source is associated with the
    ventilation air from the cell room
  • Very difficult to asses for a variety of reasons,
    assume that the emission could be underestimated
    by a factor of five (also used for other fugitive
    emissions)

11
3. Non-Combustion Sources
  • Tyre Break Wear
  • Important for Zn and Cu
  • Estimates are a fixed fraction of PM10 emission
    from these sources
  • Tyre wear is easy to estimate, but PM10 emission
    less so. UK specific data. Metal concentrations
    in tyres are highly variable (less so for HGVs).
  • Metal content of brake linings is fairly well
    characterised.
  • Emissions per vkm vary by nearly an order of
    magnitude. UK specific data.
  • Odd and Ends
  • A variety of other sources included in the
    inventory (fireworks, glass manufacture, waste
    incineration etc.)

12
4. Missing Non-anthropogenic Sources
  • Missing Sources
  • Accidental/malicious fires
  • dwellings, factories, other buildings, vehicle
    fires
  • Demolition
  • Corrosion/abrasion of metal structures
  • Galvanizing
  • Non-thermal processing of scrap metals
  • e.g. shredding of scrap metals
  • Part B industrial processes
  • e.g. cement batching, quarrying, powder coating
  • Abrasion of road surfaces by motor vehicles

13
4. Missing Non-anthropogenic Sources
  • Non-anthropogenic Sources
  • Natural Sources
  • not currently included or estimated. Estimates
    available from Ilyin Travnikov (2005)
  • Marine Sources
  • not currently included or estimated. Estimates
    available from Ilyin Travnikov (2005)
  • Resuspension
  • Estimates available from Ilyin Travnikov (2005)
    suggest significant contributions for Pb and Cd
    (trebling the 2004 Cd emissions in the UK).
  • However estimates from Vincent and Passant (2006)
    for Cd, Pb, As, Ni suggested resuspension was not
    a major source.

14
5. Mapping Emission Estimates
15
6. Conclusions
  • Conclusions
  • There are areas where improvements need to be
    made
  • However we are currently limited by data
    availability
  • Recommendations for Future work
  • Point Sources Obtain more information on whether
    fugitive emissions are included in current
    estimates
  • Combustion Sources Obtain more comprehensive
    data on metal content of fuels
  • Brake and Tyre Wear Review and consolidate
    existing literature information
  • Missing Sources Make some initial estimates by
    improving PM10 estimates (not straightforward!)
  • Natural Sources Incorporate estimates into
    emissions inventory
  • Validation Verification
  • After conducting these improvements, reassess the
    estimates derived from modelling in light of
    updated emissions inventory estimates.

16
THANK-YOU FOR YOUR ATTENTION
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