Data analytics in asset management of erosion control structures

The project aims to study the use of advanced machine learning algorithms to enhance the ability of TRCA to detect shoreline erosion. Accurate detection of shoreline erosion will have significant contribution to optimizing TRCA asset management plans. This will enable TRCA to work with local communities to reduce the impacts of climate change on shoreline erosion, which in turn will help safe shoreline properties and community spaces from increased erosion. The accurate perdition of erosion will also enable TRCA to develop effective plans to protect natural habitat. It will also support building a long-term investment plan to protect shorelines.

Faculty Supervisor:

Tamer El-Diraby

Student:

Yunshun Zhong

Partner:

Toronto and Region Conservation Authority

Discipline:

Engineering - civil

Sector:

Professional, scientific and technical services

University:

University of Toronto