MIDOSS Project Documentation¶
This is documentation about the MEOPAR MIDOSS (Model of Impact of Dilbit and Oil Spills in the Salish Sea) project.
The Salish Sea and coastal communities are at risk of marine oil spills from various ship sources, including tankers carrying diluted bitumen (dilbit), which are projected to increase. This project seeks to improve scientific knowledge and tools to support evidence-based planning for oil spills. Using the latest observations from the Ocean Networks Canada Ocean Observatory and a suite of state-of-the-art models, we will improve modeling of dilbit in the coastal ocean, prediction of near-surface currents, and risk communication strategies for diverse decision-making groups. We will produce predictions of strong currents and extreme high/low water for pilots to help reduce ship accidents, as well as risk maps and related information products to aid in community planning and in addressing ecosystem vulnerability.
Prof. Susan Allen, Univ. of British Columbia (Lead)
Prof. Stephanie Chang, Univ. of British Columbia
Prof. Haibo Niu, Dalhousie University
How would a diluted bitumen (dilbit) spill behave in a large estuary such as the Salish Sea?
What coastal areas in the Salish Sea are most likely to be impacted by oil spills from different ship-based sources?
How can oil spill risk be effectively represented (e.g., mapped) to support planning to minimize coastal impacts?
We will conduct the following research tasks:
model the near-surface currents in an estuarine setting with strong wind and tidal forcing
model dilbit weathering in an estuarine setting
understand risk information needs and risk communication strategies of diverse decision-making groups
Integrating across these efforts, we will build a coupled oil spill prediction system and develop maps and related risk exposure products for the Salish Sea.
Local governments of coastal communities
environmental non-governmental organizations (NGOs)
provincial emergency management
oil spill cleanup companies
Environment and Climate Change : ocean modelling and oil spill modelling
Fisheries and Oceans, Canada: ocean modelling, Canadian Hydrographic Service and Center for Offshore Oil, Gas and Energy Research
Marine Environmental Observation Prediction and Response (MEOPAR) Network of Centres of Excellence (NCE)
Ocean Networks Canada (ONC)
- Computational Models
- Handling .tif files in Python
- Python Code Development and Maintenance
- Contributing to These Docs
- MIDOSS Documentation Contributors