Using Technology and Data to Manage Storm Events

Using Technology and Data to Manage Storm Events
Stormwater management has become more challenging, as we face higher intensity, longer duration rain events at greater frequency. We need to bring different thinking and solutions to the challenges that climate change presents. In collaboration with our colleagues at C4S, we will present two different public agencies' case studies, including a centralized and a decentralized solution to stormwater management, both of which are using technology and data to solve their challenges. Webinar, 10-11 AM Central time (11 AM - 12 PM Eastern, 9-10 AM Mountain, 8-9 AM Pacific)

After attending this session, participants will be better able to:

  • Identify how machine learning and IoT provide benefit to stormwater management in a changing climate.
  • Recognize how data-driven techniques like forecasting and machine learning help proactively manage flood storage.
  • Identify opportunities to incorporate a blue roof with Internet of Things (IoT) technology into your toolbox of solutions

This program is sponsored by the APWA Water Resources Management Committee



Speakers:
Phil James, PE, Senior Manager, Integrated Water Management, Credit Valley Conservation Authority
Rohan Hakimi, PE, Engineer, Integrated Water Management, Credit Valley Conservation Authority
Tiffany Schaufler, Project & Land Manager, Minnehaha Creek Watershed District
Kailey Cermak, Hydrologist, Minnehaha Creek Watershed District


Moderator:  Rita Cassida

Registration: Members $0; Nonmembers $99  LAST DAY TO REGISTER: February 23, 2022

A recording of this program will be available through the Members' Library a couple of weeks after the live program.

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  1. Click Register.
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Instructions for joining the webinar will be emailed to you the week before the event date and the day of the event.


Click, Listen & Learn Contact Information:


Questions: Katherine Anderson, (800) 848-2792 ext. 5217, kanderson@apwa.net


When
2/24/2022 10:00 AM - 11:00 AM
Where
Online Please Note: Webinar Begins 10AM Central Time

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