Year: 2024
Type: conference-paper
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.
Authors: New South Wales, Australia, Shion Khan, Sumya Rahman, Ataur Rahman
Institution: Western Sydney University
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
SDG: Quality education
Open Access status: gold
OpenAlex ID: W4408291264