Mining and Smelting
Intrinsik has extensive experience in the mining and smelting sector. Our scientists continue to provide diverse services to help address issues related to environmental and occupational health exposures associated with pre-operations through to closure stages of facilities.
- Human Health Risk Assessment
- Toxicology and Hazard Assessment
- Exposure Modelling
- Biomonitoring studies or evaluations related to either occupational health reviews or community exposures
- Occupational Health Assessments in response to existing operations, pending closure, legal questions, spills or accidental exposure events
- Public Consultation and Risk Communication
- Ecological Risk Assessment (including livestock health assessments)
- Country Foods Assessment
- Community Health Assessment
- Expert Testimony
- Corporate Social Responsibility, including community engagement strategic planning and implementation
Intrinsik has conducted some of the largest and most comprehensive community-based human health risk assessment studies and ecological risk assessment studies of smelting and mining facilities in Canada, as well as in South America. These assessments, and our other services for this industry sector specifically, relate to the evaluation of potential risks to the environment and human health.
Examples of these include assessments of:
- Environmental Impact Assessments of proposed facilities or facilities undergoing significant retrofits/upgrades
- Legacy Assessments associated with pending closure, or past operations
- Evaluation of environmental monitoring data; evaluation of Environmental Effects Monitoring programs, based on risk
- Advice and guidance on regulatory affairs (Chemicals Management Plan; Regulatory Compliance, etc.)
- Expert advice and review of toxicology basis of pending standards or regulations related to air quality, soil quality, biomonitoring endpoints, etc.
- Evaluation of occupational health programs, based on risk
- Air quality assessments
- Safety of human consumption of country or agricultural foods using either modeled or measured datasets