Low Impact Development

Home / Low Impact Development / LID Training / Low Impact Development Inspection, Maintenance and Monitoring Training

Low Impact Development Inspection, Maintenance and Monitoring Training

Full Day Course

Traditionally, stormwater management has been an end-of-pipe practice located on public property and maintained by public agencies. However, low impact development (LID) treats stormwater runoff at its source. This presents unique challenges for monitoring, inspection and maintenance. Experienced instructors will present valuable lessons learned from examples in Southern Ontario. They will show you how to integrate LID best management practices into stormwater infrastructure programs.

Learning Objectives

  1. Understand the importance of Low Impact Development (LID)
  2. The importance of stormwater management monitoring in the design, construction, assumption, operation and maintenance of stormwater infrastructure to ensure long-term performance
  3. Learn how to design an effective LID BMP inspection and maintenance program
  4. Understand cold climate protocols for inspection, testing and maintenance of seven types of structural LID BMPs
  5. Learn how to set up a monitoring program, including the importance of goals and stakeholder involvement to design the program
  6. Overview of in the ground case studies with real monitoring results

See our  upcoming events list for currently scheduled courses.  Courses can also be scheduled by request for groups with a minimum of 15 students.  For more information contact:

Julie McManus
Credit Valley Conservation
905-670-1615 ext. 247
jmcmanus@creditvalleyca.ca

Data and information released from Credit Valley Conservation (CVC) are provided on an 'AS IS' basis, without warranty of any kind, including without limitation the warranties of merchantability, fitness for a particular purpose and non-infringement.

Availability of this data and information does not constitute scientific publication. Data and/or information may contain errors or be incomplete. CVC and its employees make no representation or warranty, express or implied, including without limitation any warranties of merchantability or fitness for a particular purpose or warranties as to the identity or ownership of data or information, the quality, accuracy or completeness of data or information, or that the use of such data or information will not infringe any patent, intellectual property or proprietary rights of any party. CVC shall not be liable for any claim for any loss, harm, illness or other damage or injury arising from access to or use of data or information, including without limitation any direct, indirect, incidental, exemplary, special or consequential damages, even if advised of the possibility of such damages.

In accordance with scientific standards, appropriate acknowledgment of CVC should be made in any publications or other disclosures concerning data or information made available by CVC.
DATA DISCLAIMER