Abstract
This paper presents the learning experience of a high school student (first author) who was working with an expert hydrologist (third author) for his year 10 industry experience. A student-centred approach was adopted to teach hydrology to the student. In this case study, it was assumed that a bridge was to be designed at the Allyn River, at Halton, New South Wales, Australia (station ID 210022). The task involved abstraction of annual maximum flood (AMF) data from the WaterNSW website and several candidate probability distributions to the AMF data using EasyFit and R software. The ranking of the candidate probability distributions was based on three goodness of fit tests (Kolmogorov Smirnov, Anderson Darling and Chi Squared), which enabled selection of the top five distributions for each test. It was concluded that the Generalised Extreme Value distribution was the best fitting probability distribution for the AMF data at the site. It was found that a student-centred approach can aid in learning hydrology, which is regarded as a difficult subject due to its empirical nature.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 3rd International Conference on Advancements in Engineering Education (iCAEED-2024) |
| Editors | Muhammad Muhitur Rahman, Ee Loon Tan, Ataur Rahman |
| Place of Publication | Minto, N.S.W. |
| Publisher | Science, Technology and Management Crescent Australia |
| Pages | 132-137 |
| Number of pages | 6 |
| ISBN (Print) | 9781763684331 |
| Publication status | Published - Nov 2024 |
| Event | International Conference on Advancements in Engineering Education - Sydney, Australia Duration: 20 Nov 2024 → 23 Nov 2024 Conference number: 3rd |
Conference
| Conference | International Conference on Advancements in Engineering Education |
|---|---|
| Abbreviated title | iCAEED |
| Country/Territory | Australia |
| City | Sydney |
| Period | 20/11/24 → 23/11/24 |
Keywords
- Engineering education
- GEV
- flood frequency
- high school
- hydrology
- STEM