- Department: Environment and Geography
- Module co-ordinator: Dr. Colin McClean
- Credit value: 20 credits
- Credit level: M
- Academic year of delivery: 2024-25
- See module specification for other years: 2023-24
This module considers the issue of flooding from a hand-on computer spatial analysis and modelling perspective.
|Semester 2 2024-25
Flooding is a globally important natural hazard that is growing more intense and/or frequent due to the combined impacts of climate change, intensification of agriculture, and urban spread. This module aims to deliver core understanding of the causes and impacts of flooding as well as some management strategies for addressing the problem. Real-world problems associated with flood risk provide a platform to introduce participants to spatial analysis using GIS software and mathematical modelling and then to explore the use and application of these methodologies for considering environmental solutions. The training in spatial analysis and modelling delivers key employability skills that are applicable for a range of environmental careers including environmental consultancy.
Successful participants will be able to:
Evaluate the nature, causes and consequences of flooding and how these might change in the future.
Analyse the nature of spatial data types, and use the basic GIS functionality available in GIS software suites.
Critically appreciate the processes involved in developing, testing and using models for environmental applications.
Apply some approaches to assessing and managing risks from flooding.
Perform a basic spatial analysis of environmental data using ArcGIS and combine this with basic modelling to develop solutions to a flooding problem
|% of module mark
Reassessment essay will based around flood modelling scenario E.g. Given [list of datasets] a modeller is requested to make prediction of [x]. They have access to [y,z] software. Write an essay on how they could use these datasets and software platforms to achieve their aims. Answers should refer to the tools that have been practiced throughout the module.
|% of module mark
Standard departmental feedback form in standard departmental feedback period.
Bevan, K.J, Rainfall-Runoff Modelling: The Primer, 2nd Edition, Wiley-Blackwell
De Smith, Michael John (2013). 4th ed.Geospatial analysis : a comprehensive guide to principles, techniques and software tools
Neteler, M, Miasova, H. (2010) 3rd ed. Open source GIS : a GRASS GIS approach