Applying AI to HEC-RAS Modeling Workflows

Overview

Explore the application of AI-powered coding environments to enhance HEC-RAS modeling workflows in this informative webinar. Discover how ChatGPT's code interpreter can streamline data manipulation and analysis traditionally performed in Excel or specialized applications. Learn to leverage AI-generated Python code for HEC-RAS capabilities, including terrain modifications, custom data exports, and GIS script creation. Gain insights into tools like HEC-Commander, RAS-Commander, and DSS-Commander for improved hydraulic modeling. Witness practical examples showcasing gauge station analysis and storm event modeling. Understand the potential of AI coding in local notebooks and the Brunner-Runner tool for optimizing HEC-RAS processes. Conclude with a Q&A session and information on upcoming premium webinars for in-depth demonstrations and hands-on experience with AI applications in hydraulic modeling.

Syllabus

- Presenter intro | AI resources
- HEC-RAS capabilities with AI generated python code
- Example 1 Terrain modifications | Design channels
- Example 2 Custom HEC-RAS data exports
- my HDF5 | Outputs in ChatGPT
- Example 3 GIS script for G&A infiltration layer
- HEC-Commander repository GitHub
- HEC-RAS Python Tools | RAS-Commander | DSS-Commander
- Terrain Modification Profiler
- AI Coding in local notebooks
- Brunner-Runner tool
- Example 1 | Gauge stations | Big Storm 2020
- Example 2 | same script
- Q&A
- Wrap-up | Premium Webinar and live course details