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Area of Science:

  • Environmental Remediation
  • Geospatial Information Systems
  • Project Management

Background:

  • Legacy low-level radioactive waste contamination affects numerous properties in Port Hope, Ontario.
  • The Port Hope Area Initiative (PHAI) is a Government of Canada-funded project to address this contamination.
  • Managing vast datasets from surveys of approximately 4800 properties is crucial for project success.

Purpose of the Study:

  • To detail the Information Management (IM) system and web-mapping tools employed in the PHAI.
  • To demonstrate how these tools facilitated the management of large-scale environmental remediation data.
  • To highlight the system's role in ensuring data integrity, spatial analysis, and reporting.

Main Methods:

  • Implementation of a comprehensive Information Management (IM) system.
  • Utilization of web-mapping tools for progress tracking and spatial analysis.
  • Integration of data capture, laboratory sample tracking, QA/QC, and reporting functionalities.

Main Results:

  • The IM system successfully managed large volumes of data, ensuring integrity and facilitating analysis.
  • Web-mapping tools enabled effective visualization of task progress and spatial contamination patterns.
  • Automated report generation and traceable execution were achieved, enhancing project oversight.

Conclusions:

  • The integrated IM and web-mapping approach proved critical for the successful management and remediation of low-level radioactive waste.
  • This system enhanced data integrity, spatial understanding, and reporting efficiency for large-scale environmental projects.
  • The PHAI's data management strategy serves as a model for complex, data-intensive remediation efforts.