1. Probabilistic Human and Wildlife Health Assessment
GoldSim
Probabilistic Human and Wildlife Health Assessment

2. 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 range.

3. 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

4. Receptors - Mammals

5. Receptors - Avian

6. 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.

7. 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

8. 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.