This module is taken by all master's students. This is a piece of research carried out with one-to-one supervision from either a member of LEC staff or one of our research partner organisations or sometimes both. Students can choose their own project (subject to agreement), choose a project from a list published by the department, or can apply for a project in conjunction with an external company.

This module aims to provide you with knowledge of volcanoes and volcanic systems. Its foundations are an understanding of the properties and behaviour of volcanic materials gained through laboratory, theoretical and field study. The module emphasizes the widely-applicable physical and chemical processes that occur during volcanic activity, including variations in solubility, rheology, phase, density and permeability. The interaction of volcanic processes with the biosphere, atmosphere and hydrosphere are discussed. The products of volcanism, together with the hazard and benefits to life on Earth are studied.

The module aims to train students to Master's level in guided, but self-determined research planning. Forthe subject area of their research project, they will have: familiarity with the broader and specific literature;researched appropriate methodologies; developed a research plan; presented the findings in poster and written formats.

After an introduction to the importance and timeliness of civilisation - as both concept and reality - and 'ecological civilisation' in particular, the course will proceed to explore, first, multiple definitions and dimensions of civilisation and, secondly, various accounts of the dynamics of civilisation(s). The first part of the course will thus include consideration of both material and ideational aspects of civilisation, as well as it normative 'light' and 'dark' sides,and issues of the 'more-than-cognitive' that particularly speak to a concern for ‘civilisation’ (vs., say, terms relating to modern social science disciplines such as ‘society’, ‘economy’, ‘polity’). The second part of the course will explore evidence regarding the rise and fall of civilisation(s) and what may be learned regarding ‘where we are today' in trajectories of civilisation and what we could do in response.

*This module is offered in alternate years (e.g. 19/20, 21/22 etc)*

Bringing together the latest methods and applied techniques in catchment hydrology and modelling, students will gain a solid foundation in the key concepts of hydrology, hydrometrics and basic hydrological processes operating at a catchment scale.

Teaching will focus on the practical application of skills and industry standard techniques in the context of the latest legislation, guidance and policy. The module will introduce commercially available models and allow students to critically apply these models in a range of worked case studies and examples.

Students will learn to critically assess the main hydrological assessment and modelling techniques in order to effectively use hydrological data. However, they will also be expected to deal with instances where there is an absence of local data, to the extent that they will know which estimation or modelling technique to choose when faced with uncertainty in a real world situation.

This module aims to explore and reconfigure the ways in which climate change is understood through a focus on the social, rather than the scientific-environmental discourses that have dominated the policy and politics of climate change. This module give you a wide-ranging and intensive introduction to the politics, cultures and theories of climate change research in the social sciences and humanities. You will be able to critically evaluate different theoretical perspectives on a range of climate change debates and present alternative arguments.

*This module is offered in alternate years (e.g. 18/19, 20/21 etc)*

Students will learn about the processes that lead to coastal erosion and flood risk, including tides, storm surges and waves. They will be introduced to estimation and computational techniques used to calculate extreme sea level and wave heights and for the production of tidal graphs for flood inundation modelling.

It will be delivered in the context of applying these technical approaches and concepts to decision making faced by coastal asset owners, planners, developers, etc. and will also introduce the concepts of predicting climate change impacts, the principles of adaptation, resilience and uncertainty, and how to incorporate these into flood risk management.

Students will gain an understanding of different types of numerical and physical models available for coastal flood modelling (e.g. empirical, 2D or 3D grid-based, offshore circulation, wave transformation), their strengths and weaknesses and how to deal with uncertainty.

Students will also gain skills in how to assess, quantify and mitigate the risks to coastal assets, people and the environment. In addition, this module encourages comprehension and assessment of coastal processes reports, wave overtopping studies and coastal flooding studies.

This module will provide you with a broad view of issues related to contaminated land, in particular: typical contamination problems; methodologies for assessing the extent and seriousness of contamination; and the applicability and effectiveness of remediation techniques as a function of contaminant and site conditions.

The legislation pertaining to and the processes used to assess the risk associated with contaminated land will be appraised, as will risk-based approaches to contaminated land assessment in general. The fate and behaviour of contaminants in the environment will also be examined. Students will gain knowledge in these matters via the risk assessment and remediation case studies.

An awareness of the scale of contaminated land in the UK will be acquired, and students will gain the ability to scientifically discuss the processes which control the behaviour of chemicals in soil.

This module focuses on data processing and visualisation to support dissertation work, and will provide students with advanced scientific numeracy skills. It includes introductory elements of MATLAB and Simulink, the industry standard for programming language, and students will learn to design, modify, run and debug simple MATLAB programs. They will be able to adapt the skills learnt to other programming languages such as Fortran and C.

Students will be taught the main programming elements, such as data input, processing, output in numerical and graphical forms, programming tools and structures (loops, conditional statements and other flow control).The module also introduces selected principles of dynamic systems analysis such as transfer functions applied to environmental systems in the form of examples and case studies.

Coursework will include writing brief MATLAB scripts based on the scripts used during workshops, as well as an essay on selected problems of environmental systems modelling linked with these scripts. Tests will be taken which will involve writing code snippets related to simple numerical and graphical problems.

Current approaches to cutting-edge research in the environmental sciences are highly dependent on digital data, and a wide variety of different data types can now be accessed relatively easily. You only need to consider the data required to understand climate change to appreciate the diversity of information that is currently available, and which is needed to address the biggest global issues.

In this module you will learn the fundamentals of retrieving, annotating, analysing and interpreting digital data from a variety of sources, applying integrated, scientific methodologies. You will develop data manipulation skills and an awareness of the tools available to maximise the value of heterogeneous digital data. We demonstrate everyday problems in data collection, both avoidable and unavoidable, and explore techniques that minimise their impact. We discuss the strengths and weaknesses of current software for data mining and visualisation, and you will get hands-on experience of data integration using spreadsheet, database and GIS technologies.

This module provides a grounding in statistics and data analysis for non-mathematicians, by starting with the basics then developing the skills required to successfully analyse data generated through dissertation projects.

Students will familiarise themselves with the open-source statistical package 'R' for analysis. The materials covered include describing data, producing figures, comparing differences between groups, correlation and associations, regression analysis and experimental design.

The module also provides a brief overview of methods beyond the module to provide awareness and a direction for further progress.

*This is a distance learning module and not taught on Campus*

Students will gain a critical understanding of key concepts, principles, tools and techniques for the management of natural resources and the environment. Particular attention is given to the challenges of dealing with complexity, change, uncertainty and conflict in the environment, and to the different management approaches which can be deployed in ‘turbulent’ conditions.

Contemporary environmental problems will be examined and interpreted from both an academic and policy perspective. In order to do this effectively, students will learn to evaluate and critique arguments and evidence related to environmental problems, and will demonstrate advanced understanding of alternative management concepts through constructive debate.

*This module is offered in alternate years (e.g. 19/20, 21/22 etc)*

Forecasting and Extreme Event Response will provide students with an introduction to the latest hydrological and meteorological forecasting methods and a solid foundation in the concepts and processes involved in flow forecasting. It will introduce commercially available models for real time flood forecasting and warning systems and the concepts of variability, uncertainty and accuracy in short term forecasting. It will also introduce longer term climate prediction and the concepts and principals of uncertainty.

The course will include a simulated flood response exercise to enable students to understand how forecasting is applied and how uncertainty and variability in forecasting is dealt with in a real world context. This will utilise JBA’s Exercise Management System software which simulates hydrometric data, displaying rainfall and river level information, automatic alarms, radar imagery and exercise injects to test response to realistic flooding scenarios.

This module introduces students to the fundamental principles of Geographical Information Systems (GIS) and Remote Sensing (RS) and shows how these complementary technologies may be used to capture/derive, manipulate, integrate, analyse and display different forms of spatially-referenced environmental data. The module is highly vocational with theory-based lectures complemented by hands-on practical sessions using state-of-the-art software (ArcGIS & ERDAS Imagine).

In addition to the subject-specific aims, the module provides students with a range of generic skills to synthesise geographical data, develop suitable approaches to problem-solving, undertake independent learning (including time management) and present the results of the analysis in novel graphical formats.

Taking a broad look at geological hazards, this module will cover everything from contemporary events to those that have shaped the Earth over geological time. The module explores in depth the fundamental processes involved in these events and how and to what extent such events can be predicted. Case histories of national and international disasters will be used to illustrate these hazards, and the inherent risks and potential mitigation measures will be discussed.

A demonstration and elaboration of the geological processes responsible for the occurrence, recurrence and magnitude of hazards will be given. Students will also learn to apply and report on the methods of prediction and mitigation strategies of geological hazards, and will apply simple prediction scenarios of geological hazard occurrence using geological datasets.To this end, students will develop skills in integrating sparse quantitative measurements and qualitative observations in order to derive interpretations from relevant datasets.

The module underscores far-reaching concepts such as using the past to inform the future and environmental risk. It will ultimately develop a sense of human-place in the geological world, promoting an understanding of how the geological world impacts human society, and what can be done to limit that impact.

The aim of this module is to introduce the concept of the Earth system and how the different components (atmosphere, ocean, ice and ecosystems) all interact with each other to shape the Earth's climate and control how the climate might change. The module will cover issues related to recent climate change, including natural and human drivers of the change. It will introduce the computer models and global observation networks that scientists use to understand the Earth system. It will also discuss the role of atmospheric chemistry and climate in the Earth system, including issues related to air quality, greenhouse gases and aerosols.

Overall, this module aims to provide an introduction to the physical processes which influence global climate change, leading to a better understanding of Earth system science.

Students will cultivate an appreciation of the scale and variety of groundwater resources within the UK and overseas. The vulnerability of these resources and the various procedures and challenges for the implementation of policies for their protection will also be a major focus during this module.

The module will introduce the principles of groundwater flow and transport for which both physical and mathematical aspects of groundwater systems need to be discussed. Use will be made of computer models to solve practical problems relevant to the water industry. The students will also gain hands-on experience of groundwater investigation methods in the field.

Those who take this module will learn to apply a specific groundwater model (MODFLOW) to a number of problems, after considering the different methods that are widely used for investigating groundwater systems. Students will then learn to state the limitations of such models for practical use and will numerically evaluate the model results that they gather.

This module will ultimately impart the skills needed to prepare reports for a Head of Section as if working for an organisation such as the Environment Agency.

*This module is offered in alternate years (e.g. 19/20, 21/22 etc)*

This module will deliver an introduction to flood risk management in the context of UK policies, legislation and spatial planning. It will provide a grounding in flood risk related responsibilities and will teach students the key concepts in urban hydrology and sustainable drainage systems (SuDS). To this end, the module will cover the design of SuDS systems, from outline design concepts to assessment of performance, estimation of flow and water quality loading.

Students will come to understand the capabilities and applications of the commercially available hydraulic models (e.g. Microdrainage, MUSIC) and the relative advantages/disadvantages of each, plus the data requirements. They will also learn how to plan, design, construct and manage a SuDS scheme in accordance with the relevant legal and regulatory framework.

By the end of this module, students will demonstrate the skills required to undertake a Flood Risk Assessment and will be able to select and apply the best techniques and models for estimating design flows in urban drainage systems.

This module is designed to give students a foundation in the numerical skills required for studying environmental science. It focuses on developing explicit links between mathematical analysis and the physical processes that govern environmental systems. Workshop sessions with members of teaching staff provide an informal atmosphere for you to refresh your mathematical knowledge, to learn how numerical skills can enrich your understanding of the environment, and to develop a scientific approach to solving a range of environmental problems. We employ environmental case studies throughout the module and analyse a number of environmental data sets.

Depending upon degree programme, students who hold an AS-level in maths do not have to take this module and as such will have a further optional module to choose from.

Following the earlier module ‘Numerical Skills I’, students will gain a more complete understanding of the numerical skills required for studying the environment. Environmental case studies will be used in a mixture of lectures and workshops where students will learn to manipulate trigonometric equations, describe the basic principles of calculus and solve simple equations. These concepts will be applied to environmental examples including radioactive decay, atmospheric pressure scale height and chemical kinetics.

Depending upon degree programme, students who hold an AS-level in maths do not have to take this module and as such will have a further optional module to choose from.

*This module is offered in alternate years (e.g. 18/19, 20/21 etc)*

Students will be provided with a solid foundation in key hydraulic processes, the impact of structures and an overview of the generic types of river model during this module. This includes how to select the most appropriate model for a particular application for flood risk management e.g. flood warning, flood risk mapping for spatial and emergency planning, broad scale screening studies, detailed feasibility and design of flood mitigation measures.

In addition to this, commercially available 1D, 2D and integrated models will be available to use during the module. Students will critically evaluate these commercially available models and select the best model for a specific application. This involves learning to identify and quantify where uncertainty exists in data and modelling, and how it should be dealt with.

Students will benefit from the availability of a mobile hydraulic flume. It is owned by the JBA Trust for educational purposes and will be used to demonstrate hydraulic principles relating to good river weir and culvert design.

With this knowledge gained from these tools, students will be able to apply industry standard flood estimation and modelling techniques to solve real problems in the context of flood risk management and the latest legislation and policy.

*This module is offered in alternate years (e.g. 18/19, 20/21 etc)*

The module will cover the concepts and theory involved in river restoration techniques and introduce a geomorphological approach to sustainable river management. It will be based on case studies and examples of river restoration projects, delivered in the context of the developing legislative and policy drivers, such as the Water Framework Directive (WFD). It will also include a field trip to visit a local river (the River Lune) to demonstrate assessment techniques, identify sustainable solutions and provide case study material.

Students will learn how the Water Framework Directive (WFD), the ‘Catchment Based Approach’ (CaBA) and the principles of Integrated Catchment Management (ICM) influence and drive river and catchment management. They will also consider the main hydro-ecology and hydromorphology assessment techniques. This will enable students to understand the process, techniques and key steps involved in designing a sustainable river restoration scheme.

This module will allow you to improve your practical and theoretical knowledge of volcanic processes through a residential field course held on an active basaltic volcano. We start off with classroom sessions to introduce the field site and provide insight into some of the magmatic and tectonic processes involved. Then, in the field, you will visit key localities and unravel the complex links between magma properties and eruptive style. We will examine effusive (lavas) and explosive (tephra) products, and will discuss and observe the roles of dykes, fissures and conduits at first hand. The module is usually held on Mount Etna, Sicily, although the location may change in future years.