Fate modelling in environmental monitoring

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Fate modelling in environmental monitoring

• Fate models link in the chain between
  flows/transports and measured levels
• Gives partitioning, transport, concentrations,
  persistence ( recovery time)
• Primarily adapted to organic non-polar
  substances
• Tool to help showing the "overall picture"

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"The overall picture"
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Use of fate models in screening

• For the planning of sampling programmes
  evaluative, generic models e.g. EQC, Level I,
  II, III models
• Data input phys-chem properties
• Gives knowledge on the general partitioning
  properties of substances
• Insight to which matrices that are most important
  for sampling

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Example of output - EQC

• Example ibuprofen
• Emissions most likely to water
• Partitioning 89 water, 11 sediment
• Conclusion Focus on water!

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Use of fate models in screening

• For the overall picture of flows/transports
• Input Properties emission data (needs SFA or
  similar)
• Regional site specific model (For Nordic
  purposes POPCYCLING-Baltic)
• Generic models can be re-parameterised to some
  extent
• Screening data important for model validation
  (many matrices)
• Previously performed on a local scale for HBCD
• CeStoc-model (Palm, 2001 version 2Prevedouros
  et al., 2007)
• SFA/MFA for Stockholm performed (Palm m fl.,
  2002)
• Predicted levels compared to screening data
• "Overall picture" generated

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Example - HBCD in Stockholm, results
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Swedish screening data in air and deposition

• Evaluation of all air and deposition data
  generated within the Swedish screening programme
• Divided into substance groups
• Distribution of detected levels/fluxes per site
  type
• Assessment of LRT potential and comparison to
  other measurements will be added
• E.g Low levels at background sites and urban
  sites, low detection frequency, low LRT potential
  not prioritised
• High levels at urban sites ? prioritised (risk
  for exposure)
• " High " levels at background sites LRT ?
  prioritised

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Screening data in air