This event is not organized by Engineers Nova Scotia, for more details please contact Dan Sandink, Institute for Catastrophic Loss Reduction at dsandink@iclr.org.

Free webinar

Deriving Rainfall Intensity-Duration-Frequency (IDF) Curves for Future Climate Scenarios: A Publically Accessible, Online Tool

Please join us for a free webinar and discussion on an accessible, web-based tool available to anyone interested in developing IDF curves that incorporate projected climate change impacts.

Presenters:
Prof. Slobodan Simonovic, Civil and Environmental Engineering, Western University, London, Ontario
Dr. Roshan Srivastav, Civil and Environmental Engineering, Western University, London, Ontario
Dr. Andre Shardong, Civil and Environmental Engineering, Western University, London, Ontario

Project Description;
MUNICIPAL WATER MANAGEMENT in Canada is heavily dependent on the use of IDF curves in planning, design, and operation of municipal water infrastructure. Many watershed management activities related to water supply, water quality management, flood control, and similar also rely on the use of IDF curves. 

While there is a need in almost every Canadian municipality to adapt to changing climatic conditions, there is a lack of necessary expertise within municipalities for implementing current research related to the impact of climatic change on IDF curves. Thus, one of the primary aims of this project was to standardize the IDF update process and make the results of current research on climate change impacts on IDF curves accessible to everyone.
The developers and supporting agencies believe that a freely available, computerized IDF update tool will aid in the selection of effective climate change adaptation options at the local level, advancing the decision making capabilities of municipalities, watershed management authorities and other key stakeholders.

This computerized, web-based IDF tool integrates a user interface with a Geographic Information System (GIS). By creating or selecting a rain station, the user will be able to carry out statistical analysis on historical data, as well as generate and verify possible future change based on a methodology using a combination of global climate modeling outputs and locally observed weather data. 

This webinar will provide an introduction and demonstration of this free, web-accessible tool, currently in draft form. Webinar participants will be provided an opportunity to ask questions about and provide comments on the draft version of the tool.

To Attend:

Webinar link: https://iclr.webex.com/iclr/onstage/g.php?t=a&d=662470119
Webinar password: IDFCC
Dial in: 866-440-8938
Code: 1712397