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DTSTART;TZID=America/Los_Angeles:20250318T120000
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UID:10000100-1742299200-1742310000@waterprogramportal.org
SUMMARY:Implementing Machine Learning Process Controls at Water Resource Recovery Facilities
DESCRIPTION:Improvements in process monitoring and control at water resource recovery facilities (WRRFs) could result in reductions in electricity consumption\, chemical inputs\, footprint\, and greenhouse gas emissions\, as well as increased energy and nutrient recovery and improved water quality. However\, many current WRRF data collection\, monitoring\, and control approaches use 20th century process monitoring and control systems. \nThis webcast is designed for wastewater professionals looking to increase understanding of machine learning (ML) and how to implement data-driven process controls at WRRFs. The webcast features results from a U.S. Department of Energy-funded project Data-Driven Process Control for Maximizing Resource Efficiency (5141) which has developed and demonstrated data-driven process controls at full-scale facilities for a variety of applications that collectively provide a whole plant approach and offer substantial energy and resource recovery benefits. \nThe webcast will provide an overview of what artificial intelligence (AI) and ML are\, including basic terminology. Participants will learn the steps necessary for ML control implementation based on a framework developed by the project team. Case studies will be presented to illustrate the steps involved. The presenters will also highlight an ML Toolkit that the project created\, which includes project write-ups\, code notebooks\, video walkthroughs\, and other resources for users. \nPresenters: \n\nKathryn Newhart\, Assistant Professor\, Oregon State University\nJoe Lybik\, PhD Candidate\, University of Michigan\nJeff Sparks\, Director of Digital Water\, Hampton Roads Sanitation District\nRudy Maltos\, Associate Engineer\, Metro Water Recovery\nNam Ngo\, Program Manager\, Research\, DC Water\n\nModerators: \n\nJeff Moeller\, Director of Research Services\, The Water Research Foundation\nNancy Love\, Professor\, University of Michigan
URL:https://waterprogramportal.org/event/implementing-machine-learning-process-controls-at-water-resource-recovery-facilities/
LOCATION:Virtual
CATEGORIES:Webinar
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DTSTART;TZID=America/Los_Angeles:20241024T100000
DTEND;TZID=America/Los_Angeles:20241024T130000
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CREATED:20241014T185113Z
LAST-MODIFIED:20241014T185113Z
UID:10000077-1729764000-1729774800@waterprogramportal.org
SUMMARY:Occurrence of Legionella pneumophila In Drinking Water Distribution Systems
DESCRIPTION:Legionella pneumophila is a significant drinking water contaminant due to its role in causing Legionnaires’ Disease (LD)\, a potentially fatal illness. While LD risk is largely determined by water management within buildings\, public water systems also contribute to L. pneumophila exposure and must play a role in its management. However\, limited data exist on its occurrence in distribution systems (DSs) and associated factors. \nProject 5156\, Occurrence of Legionella pneumophila in Drinking Water Distribution\, was a two-year study involving fifty-seven utilities monitoring L. pneumophila in water distribution systems across various regions\, system sizes\, and disinfectant types. The study aimed to develop a response and communication protocol for utilities following positive L. pneumophila detections; collect data to examine the relationship between L. pneumophila occurrence and disinfectant residuals; analyze the associations between disinfectant type\, concentration\, and system characteristics; and identify locations at higher risk for L. pneumophila presence. Additionally\, a benchmark risk analysis was conducted to assess the risk of L. pneumophila in distribution systems. \nIn this webcast\, presenters will share key findings from the study\, offering practical recommendations for monitoring and managing L. pneumophila in public water systems. The research enhances our understanding of L. pneumophila occurrence in distribution systems and provides valuable insights to help utilities improve water management practices and protect public health.
URL:https://waterprogramportal.org/event/occurrence-of-legionella-pneumophila-in-drinking-water-distribution-systems/
LOCATION:Virtual
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://waterprogramportal.org/wp-content/uploads/2024/10/Screenshot-2024-10-14-144859.png
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DTSTART;TZID=America/Los_Angeles:20241029T130000
DTEND;TZID=America/Los_Angeles:20241029T160000
DTSTAMP:20260606T000612
CREATED:20241014T184937Z
LAST-MODIFIED:20241014T184937Z
UID:10000076-1730206800-1730217600@waterprogramportal.org
SUMMARY:Establishing a Framework for Integrating Stormwater Capture into Water Supply Planning
DESCRIPTION:Stormwater is an increasingly important water resource and potential new water supply. It is estimated that systematic stormwater capture and use (SCU) could meet more than half of municipal and industrial water needs in the nation’s urban areas\, about the same amount of supply achievable through wastewater recycling. Moreover\, comparisons of costs of supply augmentation alternatives suggest SCU often is a less expensive source than wastewater recycling\, desalination\, or new supply development. The research team will focus on SCU for water supply augmentation where a primary objective includes augmenting (or offsetting) use of existing supplies through potable and/or non-potable applications. \nThe core objective of this project is to develop a pragmatic\, actionable research to inform and guide water sector professionals in (1) evaluating the potential value and feasibility of tapping stormwater as a source of supply (within the context of multi-benefit stormwater management); and (2) navigating the complex process of working with other utilities\, regulators\, elected officials\, and relevant stakeholders to move ideas into action.
URL:https://waterprogramportal.org/event/establishing-a-framework-for-integrating-stormwater-capture-into-water-supply-planning/
LOCATION:Virtual
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://waterprogramportal.org/wp-content/uploads/2024/10/Screenshot-2024-10-14-144859.png
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