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INSTRUCTORS: 
Lee Beshoner
Kapil Dhital
Alen Shrestha
Balbhadra Thakur
Abhiram Mullapudi
Nick Mills
Richard Loeffler
Wasantha Lal
Jaime Graulau-Santiago
Xiaofeng Lui, Ph.D, P.E.
Ali Mahdavi Mazdeh, Ph.D

Course Length: 1 hour

Purpose and Background

This course will only award PDHs for completion.

Technical presentations from the 2024 World Environmental & Water Resources Congress:

Propagation of hurricane surges along south Florida canals (17 minutes)

This presentation discusses the propagation of hurricane surges along South Florida canals, focusing on the application of analytical models to understand and predict these phenomena. The study involves the use of the St. Venant's equations and groundwater flow equations to simulate the interaction between canal flow, seepage, and storm surges during events like Hurricane Irma. By calibrating these models with real-world data, such as wave speeds and decay rates, engineers can accurately assess the impact of different factors like bottom friction and seepage on surge propagation. This technical analysis is crucial for improving predictive models and enhancing flood management strategies in hurricane-prone regions.

Application of Pre-processed Radar-Based Gridded Precipitation using Streamlined Workflow of HEC-HMS and HEC-RAS (14 minutes)

This presentation covers the integration of pre-processed radar-based gridded precipitation data into hydraulic models using a streamlined workflow with HEC-HMS and HEC-RAS. It details the process of converting radar data into a format compatible with HEC models, addressing challenges related to data resolution and temporal accuracy. The approach enhances flood prediction by incorporating spatially and temporally varied precipitation inputs, improving the precision of hydrological and hydraulic simulations. This methodology is particularly useful for large-scale watersheds where traditional point-based precipitation methods may fall short.

Physics-informed deep-learning model architecture design for time-series forecasting (31 minutes)

This presentation explores the design of deep learning model architectures for time-series forecasting, incorporating physics-based constraints to enhance predictive accuracy. The approach leverages domain-specific knowledge to guide the learning process, ensuring that the model respects physical laws governing the system being analyzed. By integrating physics-informed techniques, the model can more accurately forecast complex time-dependent phenomena, such as fluid dynamics or structural responses under varying loads. This method significantly improves the reliability of predictions in engineering applications where traditional data-driven models may fall short.

Is there mesh independence for 2D hydraulics modeling? (21 minutes)

This presentation examines the concept of mesh independence in 2D hydraulics modeling, focusing on how grid resolution affects simulation accuracy. It investigates whether varying mesh sizes lead to consistent results, particularly in simulating flow patterns, water surface elevations, and other critical hydraulic parameters. The analysis includes a comparison of different mesh densities to determine the point at which further refinement does not significantly impact the results. Understanding mesh independence is crucial for optimizing computational resources while maintaining model reliability in hydraulic engineering projects.

Learning outcomes and session benefits

Upon completion of this course, you will be able to:

• • Identify the key factors, such as bottom friction and seepage, that influence the behavior of storm surges in canal systems.
• • Describe the process of integrating radar-based gridded precipitation data into HEC-HMS and HEC-RAS models for enhanced flood prediction.
• • Describe the process of integrating radar-based gridded precipitation data into HEC-HMS and HEC-RAS models for enhanced flood prediction.
• • Describe the concept of mesh independence and its importance in 2D hydraulics modeling.

Assessment of Learning Outcomes

Learning outcomes are assessed and achieved through passing a 10 multiple choice question post-test with at least a 70%.

Who Should Attend?

• Water resource engineers
• Consulting engineers
• Consulting engineers
• Utility engineers
• Public Agency Engineers
• Utility Directors

How to Earn your PDHs and Receive Your Certificate of Completion

This course is worth 1 PDH. To receive your certificate of completion, you will need to complete a short on-line post-test and receive a passing score of 70% or higher within 365 days of the course.