Maximising the Accuracy of Hydraulic Models
Offered By: Australian Water School via YouTube
Course Description
Overview
Explore a comprehensive webinar on maximizing the accuracy of hydraulic models without calibration data. Learn from Bill Syme, Software Business Lead at TUFLOW, as he discusses crucial factors influencing hydraulic modeling result accuracy, including input data quality, parameter values, model schematization, structure representation, and computational solver suitability. Gain insights into understanding uncertainty in hydraulic modeling results and discover fundamental principles for developing fit-for-purpose models. Delve into a range of subjects, from intuitive data-related issues to often misunderstood consequences of simplifying computational solutions. Receive valuable recommendations to enhance model accuracy and increase confidence in models lacking validation data. This 1-hour 10-minute webinar is essential for stakeholders at all levels, from novice to experienced modelers, reviewers, and end-users of hydraulic modeling outcomes.
Syllabus
- Introductions & Polls.
- Background- setting the scene.
- Benchmark model- Brisbane River.
- Input data- effecting model accuracy.
- Solving fluid flow equations.
- Manning's n.
- Bend losses.
- Descretisation.
- Importance of testing software- example.
- Recommendations.
- Q&A.
- Wrap-up & further training.
Taught by
Australian Water School
Related Courses
Automated Visual Software AnalyticsopenHPI JavaScript Testing
Udacity Desarrollo de Aplicaciones Web: Prueba y Despliegue
University of New Mexico via Coursera 软件工程
Peking University via Coursera Building R Packages
Johns Hopkins University via Coursera