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Building quantitative skills with a simplified physical model of coastal storm deposition

Building quantitative skills with a simplified physical model of coastal storm deposition
Building quantitative skills with a simplified physical model of coastal storm deposition
This article describes an exercise for a physical laboratory experiment designed to enable physical geography students to practice transferable quantitative skills through inquiry-based learning. The exercise is a deliberately simplified physical model of storm-driven coastal overwash typical of low-lying coastal barrier systems. The experiment can be trialled in anything from a baking pan or plastic tub to a specialised flume; set-up requires an erodible sand barrier with a low height relative to its alongshore length. Flow across the barrier is called overwash, which leaves behind depositional features called washover. Students measure geometric characteristics, or morphometry, of the experimental washover and examine them with scaling relationships. Here I present a dataset of nearly 450 student measurements, along with a sample of my own, from six experimental trials to demonstrate that students with little or no preparatory training were able to successfully complete the exercise and collectively generate a dataset of washover morphometry that resembles scaling relationships from the published literature. Using inquiry-based observations of a physical process to steer morphometric measurements that in turn motivate methods for quantitative analysis may serve as an effective means of embedding quantitative training in a physical geography syllabus or programme curriculum.
Physical laboratory experiment, coastal processes, flume, inquiry-based learning, stream table
1466-1845
572-587
Lazarus, Eli
642a3cdb-0d25-48b1-8ab8-8d1d72daca6e
Lazarus, Eli
642a3cdb-0d25-48b1-8ab8-8d1d72daca6e

Lazarus, Eli (2025) Building quantitative skills with a simplified physical model of coastal storm deposition. Journal of Geography in Higher Education, 49 (4), 572-587. (doi:10.1080/03098265.2025.2497226).

Record type: Article

Abstract

This article describes an exercise for a physical laboratory experiment designed to enable physical geography students to practice transferable quantitative skills through inquiry-based learning. The exercise is a deliberately simplified physical model of storm-driven coastal overwash typical of low-lying coastal barrier systems. The experiment can be trialled in anything from a baking pan or plastic tub to a specialised flume; set-up requires an erodible sand barrier with a low height relative to its alongshore length. Flow across the barrier is called overwash, which leaves behind depositional features called washover. Students measure geometric characteristics, or morphometry, of the experimental washover and examine them with scaling relationships. Here I present a dataset of nearly 450 student measurements, along with a sample of my own, from six experimental trials to demonstrate that students with little or no preparatory training were able to successfully complete the exercise and collectively generate a dataset of washover morphometry that resembles scaling relationships from the published literature. Using inquiry-based observations of a physical process to steer morphometric measurements that in turn motivate methods for quantitative analysis may serve as an effective means of embedding quantitative training in a physical geography syllabus or programme curriculum.

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More information

Accepted/In Press date: 13 February 2025
Published date: 3 May 2025
Additional Information: Publisher Copyright: © 2025 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
Keywords: Physical laboratory experiment, coastal processes, flume, inquiry-based learning, stream table

Identifiers

Local EPrints ID: 502299
URI: http://eprints.soton.ac.uk/id/eprint/502299
ISSN: 1466-1845
PURE UUID: 2b1e13c9-5106-4c47-ab5e-54d138743027
ORCID for Eli Lazarus: ORCID iD orcid.org/0000-0003-2404-9661

Catalogue record

Date deposited: 20 Jun 2025 16:41
Last modified: 22 Aug 2025 02:18

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