GoldSim

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GoldSim

• Probabilistic Human and Wildlife Health Assessment

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What did the model do?

• Used food webs to estimate contaminant transfer.
• Examined all the data using probability (0-1).
• Allowed us to test different assumptions of
  exposure.
• Previous models used worse case assumptions.
• Previous focus was the 0.9-0.95 range.

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Receptors

• Examined mammals and avian food webs for wildlife
  exposure to contaminants.
• Examined the exposure of contaminants to humans
  from a combination of the two food webs and local
  media, and background sources.
• Examined a gradient of exposure for humans using
  different spatial locations

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Receptors - Mammals
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Receptors - Avian
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Receptors - Humans

• Examined 4 pathways of exposure
• Ingestion including food items, water and soil
• Inhalation of local air
• Dermal absorption from local soil
• Inhalation of particles from the soil
• Examined different assumptions for consumption of
  local meat, fish and garden vegetables.
• Used Probabilistic inputs (BW, IR) from
  Richardson (1997) and Alberta Health and Wellness
  (2007) for Ingestion rates.

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Receptors- Human life stage analysis

• Completed analysis using the time duration of
  each developmental stage.
• Infant 0.5 yr
• Toddler 4.5 yr
• Child 7 yr
• Teen 8 yr
• Adult 56 yr

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Receptors- Arsenic Results for Humans

• Results indicate
• CR greatest risk of cancer.
• Caused by ingestion of local vegetation, local
  fish and store bought meat.
• HT greatest risk for aboriginals, caused by
  ingestion of poplar creek water.