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INSTRUCTORS:
Mohammadreza Moeini
Ahmed Abokifa
Sergio Serrano
Daniel Alvarez
Maria Alejandra Gonzalez
Valeria Rodriquez
Laura Gonzalez
Juan Saldarriaga
Sriman Pankaj Boindala
Reza Yousefian
Juliana Robles Rivera
Sophie Duchesne
Avi Ostfeld
Abby Winrich
Jaime Schussler, Ph.D
Purpose and Background
Technical presentations from the 2024 World Environmental & Water Resources Congress:
State Estimation-Based Placement of Water Quality Sensors in Water Distribution Systems (12 minutes)
This presentation addresses the challenge of optimally placing expensive water quality sensors in water distribution networks, especially when resources are limited. The study introduces a state-estimation approach to sensor placement, predicting unmonitored metrics using data from a limited number of sensors. This method enhances decision-making speed and accuracy in water quality management. The research employs a two-stage model involving hyperparameter optimization and Bayesian optimization to find the best sensor locations, utilizing machine learning techniques and centrality values within the network.
Residual Chlorine and Trihalomethanes Analysis in Optimal Designs for Minimum Cost Potable Water Distribution Systems (15 minutes)
This presentation explores the relationship between cost optimization and water quality in distribution networks. The study utilizes EPA-Net and genetic algorithms to design networks that meet hydraulic restrictions while minimizing cost. It emphasizes the significance of reduced internal water volume and surface area in lowering chlorine decay and trihalomethane formation. The findings demonstrate that optimizing for minimal cost also leads to improved water quality, characterized by reduced chlorine consumption and trihalomethane levels in the network.
Robust Booster Disinfection Scheduling Using Incomplete Mixing Water Quality Model (16 minutes)
This presentation examines the complexities of scheduling chlorine booster disinfection in water distribution systems under uncertain conditions. Utilizing an incomplete mixing model, the study addresses the challenges of accurately predicting chlorine residuals and optimizing booster injection schedules. By integrating robust optimization techniques, the approach ensures effective disinfection while accounting for variability in chlorine concentration and flow dynamics. The results highlight the importance of incorporating incomplete mixing effects to enhance the reliability and efficiency of water quality management strategies.
Modeling Through the Murky Water: An Investigation of Reoccurring Turbidity Impairments in Oklahoma (2002-2022) (17 minutes)
This presentation explores the persistent issue of turbidity impairments in Oklahoma's watersheds over a 20-year period. Utilizing modeling scenarios in OKHAWKS, an online version of the SWAT model, the study evaluates the effectiveness of various best management practices (BMPs) such as no-till agriculture and conservation grazing. The research identifies key watersheds with recurring impairments and examines their sediment contributions under different land uses and BMP implementations. The findings aim to optimize resource allocation and enhance water quality management in the state.
Benefits and Learning Outcomes
Upon completion of these sessions, you will be able to:
- Explain how state-estimation techniques can be used to optimize the placement of water quality sensors in distribution systems.
- Describe how genetic algorithms and EPA-Net are utilized to design cost-effective water distribution networks while maintaining compliance with hydraulic and water quality standards.
- Describe the challenges associated with chlorine booster disinfection scheduling in water distribution systems when incomplete mixing is present.
- Explain the role of the OKHAWKS (SWAT model) in assessing and managing turbidity impairments in Oklahoma's watersheds.
Assessment of Learning Outcomes
Achievement of the learning objectives will be assessed through a short post-test.
Who Should Attend?
- Water resource engineers
- Environmental engineers
- Consulting engineers
- Utility engineers
- Public Agency Engineers
- Utility Directors
How to Earn your CEUs/PDHs and Receive Your Certificate of Completion
This course is worth 0.1 CEUs/1 PDH. To receive your certificate of completion, you will need to complete a short post-test online and receive a passing score of 70% or higher.
How do I convert CEUs to PDHs?
1.0 CEU = 10 PDHs [Example: 0.1 CEU = 1 PDH]