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Uncertainties of heavy metal pollution assessment

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to establish whether MSC-E models on HMs and POPs are state of the art and fit ... Svratouch, Czech Republic (CZ1) 01.09.2005. 06.11.2005. TFMM & TFEIP Workshop, ... – PowerPoint PPT presentation

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Title: Uncertainties of heavy metal pollution assessment


1
Uncertainties of heavy metal pollution assessment
  • Oleg Travnikov
  • EMEP/MSC-E

2
Outline
  • Sensitivity and uncertainty analysis
  • Models intercomparison
  • Model results vs. measurements
  • Back trajectory analysis
  • Emission reporting for model application

3
Model sensitivity analysis
Hg total deposition
Pb and Cd total deposition
4
Model uncertainty
Model intrinsic uncertainty without effect of
emissions
Lead and cadmium
Mercury
Uncertainty 20-50
Uncertainty 30-40
5
Review of MSC-E models Workshop on review of
MSC-E models on HMs and POPs (Moscow, 2005)
Purpose to establish whether MSC-E models on HMs
and POPs are state of the art and fit for the
purpose of evaluating long-range transport of HMs
and POPs.
  • Conclusions ECE/EB.AIR/GE.1/2006/4
  • The model parameterization is appropriate for
    operational modelling of heavy metal
    concentration and deposition in Europe
  • HM depositions, concentrations and transboundary
    fluxes of HMs calculated by MSC-E model
    corresponded well with other transport models
  • Other models, such as the MSC-E model,
    underestimated air and precipitation
    concentrations of Pb and Cd when using official
    emission data

6
Model intercomparison
Comparison of MSCE-HM and CMAQ models for Pb and
Cd
CMAQ (Community Multi-scale Air Quality model)
3D chemical transport model developed in US
EPA www.cmaq-model.org
  • Conditions of comparison
  • Anthropogenic emissions based on official and
    ESPREME data
  • Identical meteorological data for 2000
  • Similar initial and boundary conditions

7
Model intercomparison
Annual mean Cd concentration in precipitation
(2000)
8
Wind re-suspension of HMs
  • HM re-suspension scheme
  • Parameterization of mineral dust suspension
  • Marticorena and Bergametti, 1995 Alfaro
    and Gomes, 2001 Gomes et al., 2003
  • Parameterization of sea salt aerosol production
  • Monahan et al., 1986 Gong, 2003
  • Detailed soil properties data
  • ISLSCP (Initiative II), http//islscp2.sesd
    a.com
  • Measured HM content in soil
  • FOREGS, Salminen et al., 2005

Contribution of Pb re-suspension 20 in 1990,
60 in 2005
9
Evaluation vs. observations
Annual mean concentration in precipitation based
on official emissions data (2005)
Lead
Cadmium
Mod 0.45 Obs Corr 0.51
Mod 0.70 Obs Corr 0.57
Pb
Cd
20-30 underestimation
30-50 underestimation
10
Analysis of discrepancies
Daily mean Cd concentration in air (2005)
Svratouch, Czech Republic (CZ1)
11
Analysis of discrepancies
Monthly mean Cd concentration in precipitation
(2005)
12
Analysis of discrepancies
Monthly mean Cd concentration in precipitation
(2005)
13
Evaluation vs. observations
Hg concentration in air (2005)
Mod 0.94 Obs
Hg
Hg concentration in precipitation (2005)
Mod 0.78 Obs
Hg
14
HM emissions reporting
According to submission 2007
15
HM emissions by sectors
Cd emissions in large European countries (2005)
According to submission 2007
16
Non-Party emission estimates
Comparison of official data with non-Party
estimates of Pb emissions in 2000 (TNO, ESPREME)
Germany
Germany
According to submission 2007
17
Emission uncertainty
Emissions data uncertainties reported by
countries (Pb)
18
Gaps of HM officially reported emissions data
  • Incomplete data on emission totals
  • Limited data on spatial distribution
  • No data on temporal variation
  • Scarce data on emission uncertainty

What data should be used to fill the gaps?
19
Summary (1)
  • Estimated intrinsic model uncertainty is 30-40
    for Pb and Cd and 20-50 for Hg
  • Modelling results are highly sensitive to
    emissions data for Pb and Cd and to boundary
    conditions for Hg
  • MSCE-HM and CMAQ models agree in underestimation
    of measurements (up to 70) when officially
    reported emissions data is used
  • Assessment of wind re-suspension allows improve
    agreement between modelling results and
    measurements
  • Current model-to-measurement comparison
    demonstrates 20-30 underestimation for Pb and
    30-50 underestimation for Cd. Modelling results
    for Hg well agree with observations

20
Summary (2)
  • Reported emission inventories for heavy metals
    are incomplete and of limited value in terms of
    model applications
  • Procedure of the reported emission gaps filling
    is to be elaborated
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