Event Profile

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Member: $25.00
Non-Member: $35.00

1.2 contact hours towards CWEA's CSM, ECI & EIT certifications.

Wastewater treatment plants (WWTP) around the world are impacted by pollution events on an almost weekly basis. While the expected frequency, duration, and intensity of events may vary from geography to geography, and even between neighboring plants, no WWTP is immune from the effects of contaminated wastewater impacting their processes. Within collection networks, conditions can change from moment to moment, and regularized methods of sampling and condition monitoring – ‘composite’ and ‘grab’ sampling, which see conditions reported at regular intervals – are unlikely to capture a truly representative picture of the environment within a system. Rather than sampling to a schedule, smart sampling units are deployed within a network, equipped with condition sensors calibrated to detect pollution events as they happen. Using this system, utilities can build a more accurate profile of pollution events within their network, supporting targeted responses to changes in network conditions and proactive wastewater management practices, including advanced source control and pollution prevention. Case studies from Israel, Italy, UK and the US will be presented, covering various applications, such as: • Improving sludge quality by detecting the source of elevated heavy metals discharge in Italy • Improving tertiary effluent quality (used for agriculture) by detecting the source of saline discharges in Israel.

Learning Objective(s): After participating in this session, attendees will be able to:
• The Audience will learn how wastewater quality early warning system can support decision making at the treatment plant to prevent upsets and incompliant
discharges.
• The Audience will learn how a network visibility tool can improve workforce communication, namely between wastewater treatment plant operators and
collection system operators/ pretreatment managers.
• The audience will learn about the differences between a random sampling program to smart, triggered by event sampling