Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Daily Overview |
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SES 2-4-3: RTC 2 Location: HSB2 Session Chair: Manfred Schütze Session Chair: Sabuj Chandra Biswas | |
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4:45pm - 5:00pm
Detecting illicit discharges in storm drains using distributed network of low-cost, IoT sensors 1: Southern California Coastal Water Research Project, United States of America; 2: Monash University, Department of Civil Engineering, Melbourne, Australia; 3: Orange County Public Works (OCPW), Santa Ana, California, USA; 4: AtkinsRealis, Montreal, Quebec, Canada; 5: University of Guelph, School of Environmental Sciences, Guelph, Ontario, Canada; 6: Queensland University of Technology, Queensland, Australia Illicit discharges to the municipal storm drains degrade receiving water quality, compromise network flood control capacity, and threaten public health. Current monitoring paradigms are designed for detecting continuous illicit discharges, with known deficiencies for detecting transient discharges. This research describes a novel approach to automating detection of illicit discharges in storm drains. A pilot network of sensors was deployed to eight storm sewer outfalls in southern California. The sensor network continuously monitors key hydrologic and water quality variables for trends that indicate an illicit discharge. When a potential discharge is detected, an email alarm notifies stormwater managers in near real-time about the incident. Rapid responses enabled by automated detection greatly improves the likelihood that intermittent illicit discharges will be captured, traced, and eliminated. The open-source, 3D printed, IoT-enabled sensors utilized herein are a cost-effective alternative to products by commercial vendors, bringing full network coverage into a competitive price range. | |