Related Experiment Video
Updated: Feb 26, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
Water safety plans as a tool for drinking water regulatory frameworks in Arctic communities
Kaycie Lane1, Amina K Stoddart1, Graham A Gagnon2
1Department of Civil & Resource Engineering, Dalhousie University, Halifax, NS, B3J 1Z1, Canada.
Abstract:
Arctic communities often face drinking water supply challenges that are unique to their location. Consequently, conventional drinking water regulatory strategies often do not meet the needs of these communities. A literature review of Arctic jurisdictions was conducted to evaluate the current water management approaches and how these techniques could be applied to the territory of Nunavut in Canada. The countries included are all members of the Arctic Council and other Canadian jurisdictions considered important to the understanding of water management for Northern Canadian communities. The communities in Nunavut face many challenges in delivering safe water to customers due to remoteness, small community size and therefore staffing constraints, lack of guidelines and monitoring procedures specific to Nunavut, and water treatment and distribution systems that are vastly different than those used in southern communities. Water safety plans were explored as an alternative to water quality regulations as recent case studies have demonstrated the utility of this risk management tool, especially in the context of small communities. Iceland and Alberta both currently have regulated water safety plans (WSPs) and were examined to understand shortcomings and benefits if WSPs were to be applied as a possible strategy in Nunavut. Finally, this study discusses specific considerations that are necessary should a WSP approach be applied in Nunavut.
Related Concept Videos
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
Quality of Water
Sampling Plans
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
Testing Water Quality
Applications of GIS: Disaster Management and Emergency Response

