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LEC.468: Modelling Environmental Processes
|Department: Lancaster Environment Centre||NCF Level: FHEQ/QCF/NQF7//RQF7|
|Study Level: Postgraduate (Masters level)||Credit Points: 15.0|
|Start Date: 12-01-2015||End Date: 17-04-2015|
|Available for Online Enrolment?: Y||Enrolment Restriction: Fully available to all students|
|Module Convenor: Dr W Tych|
- Syllabus Rules and Lancaster Part II Pre-requisites
- Curriculum Design
- Assessment Weights
- Educational Aims
- Learning Outcomes
- Part 1 Modules Video
- Teaching Pattern
Syllabus Rules and Pre-requisites
Curriculum Design: Outline Syllabus
Throughout the course case studies and examples will be used to illustrate the material. Guest lecturers may be invited to contribute depending on availability.
Scope of the course; Scientific methodology and modelling: Introduction to modelling as a process;
Approaches to modelling: the role of data and perceptions in the modelling process; the problems of badly defined systems in the context of modelling environmental processes; problems of scale (temporal and spatial) and uncertainty in quantifying environmental systems.
The concept of dynamic system. First order linear systems, with the Nicholson blowfly dynamics and the Aggregated Dead Zone (ADZ) model of dispersion in a river used as practical case studies. Transfer function models, steady state gain and time constant; serial, parallel and feedback connections of first order systems. Block diagram analysis.
Muskingum-Cunge, Lag and Route, and General Transfer Function models of flow in a river system
Second order linear systems with the predator-prey equations and a climate model as practical examples; natural frequency and damping ratio; higher order systems
Linear vs. Nonlinear systems – basic introduction
Blowfly population modelling and simulation (Matlab/Simulink package)
Aggregated Dead Zone (ADZ) modelling (Matlab/Simulink package)
Predator-Prey population dynamics modelling and Gilliland Climate model
Modelling river flow
Curriculum Design: Pre-requisites/Co-requisites/Exclusions
- 50% Exam
- 50% Coursework
Assessment: Details of Assessment
- Assessment: CWA: 50% Exam: 50%
Details of CWA:Coursework assessment is based on practical reports. During the practical computer based sessions the students are guided through specific data analysis tasks closely related to the lecture contents
Learning Outcomes: Subject Specific: Knowledge, Understanding and Skills
On completion of this module students should be able to:
- Communicate with mathematicians and numerical analysts in joint projects involving modelling.
- Understand the way in which simple mathematical concepts can be used to build models of environmental systems
- Be able to individually undertake some simple modelling tasks and to analyse experimental data.
- Evaluate the principles and problems of computer aided modelling of environmental systems.
- Use contemporary industry standard numerical software to analyse and simulate environmental systems.
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