Presenter: Roger C. Sutherland, P.E., AMEC Environment & Infrastructure
On-Demand Webcast
1 PDH / 0.1 CEU
$79.00
Improve your street cleaning and stormwater quality program by joining internationally renowned sweeping expert, Roger Sutherland, as he explores the science behind the relationship between an effective street sweeping program and its ability to significantly reduce pollutants found in stormwater.
Join Sutherland as he starts at the source of the problem – “Street Dirt” – exploring the contaminated sediment-like material that accumulates on urban streets and highways, the pollutants it contains, and its chemical and physical characteristics that influence the effectiveness of a cleaning program. We’ll discuss its influence on street runoff and why the quality of street runoff is important to an effective stormwater management program. Additionally, we’ll review the essential elements of a street sweeping program for maximum effectiveness, outline the appropriate way to manage these elements, and identify the associated program and water quality benefits. In this webcast, Sutherland will also introduce and discuss the various types of street cleaners exploring both their advantages and disadvantages. And, we’ll learn how to test street sweeper pickup performance, how to evaluate the results, and why both matter.
Sutherland will also introduce to the unique Simplified Particulate Transport Model (SIMPTM) which can be used to optimize the sweeping frequency of various land uses needed to cost effectively reduce the amount of pollutants being transported by Stormwater, as well as discuss these results and results from other SIMPTM applications. We’ll overview the various available best management practices (BMPs) and show how the unit cost of street sweeping compares to these alternative stormwater treatment technologies. And, finally we’ll explore the growing body of evidence that demonstrates Clean Streets Means Clean Streams.
Webcast attendees can expect the discussion and education of the following learning objectives: