MSc Data Science (Earth and Environmental Analytics)

The unit is run as a series of lectures and practicals where the focus is on preparing the student to be able to select the appropriate technique for measuring environmental data, to be able to analysis data, use Geographical Information Systems (GIS), and apply industry-standard software for hydrological modelling, river modelling, water resource modelling, and glacier runoff modelling in a range of climatic zones around the globe.

Each week a new measurement and modelling approach will be introduced in a lecture and students will then gain hands-on experience in data analysis, using GIS, applying models and interpreting model output. This unit complements ‘Measuring and Predicting’ Part 1 and Part 2 by exploring processes but also with an emphasis on using models used in industry to examine real-world problems rather than focusing on the computational detail.

The unit starts by using different models to explore flood hydrology and the mechanism of flooding including techniques to collect and analyse hydrometric data. The unit prepares students to use GIS and apply geospatial analysis techniques to rainfall data. Students apply hydrological models to examine catchment flow dynamics and use 1-dimensional (1D) and 2-dimensional (2D) numerical river models to explore channel and floodplain hydraulics for rivers in the UK. The unit then explores glaciers and their hydrological processes in mountain catchments. The unit prepares students to apply a glacier runoff model and perform a model calibration and sensitivity analysis on model parameters. The students make use of hydrometeorological data collected in the Upper Indus Basin, in the Karakoram Himalaya, Northern Pakistan.

The unit also explores low flows, drought, water scarcity and food insecurity. The unit prepares students to apply water balance models as a tool to solve water security problems and help policymakers resolve water conflicts at the basin, regional and global scale. Students use real-world data from the Rift Valley Lakes Basin (RVLB) in Ethiopia and learn how water stress is a constraint to agricultural production and economic development resulting in food insecurity and poverty. Students will be able to estimate water demands from irrigation agriculture, model the sensitivity of water demand to different crop types, cropping patterns, and irrigation practices and model the change in water demands because of a future warmed climate. The unit then examines global future megatrends population growth, urbanisation, and climate change and their impacts on society. The unit introduces students to climate change models and some of the predicted impacts around the world with a focus on East Africa.

To develop a student’s understanding of data analysis, environmental measurement, and the application of environmental modelling approaches in research and/or consultancy.

2-hour lecture plus 2-hour practical on computer cluster each week.

Content

1. Measurement and Modelling in Environmental Science

Lecture: Flood Hydrology, Modelling and Modelling - 1. Principals and practice of UK flood hydrology. 2. Hydrometric measurement and stage-discharge rating curves. 3. Importance of modelling floods. 4. Building 1D, 2D and 3D model with real-world case studies. 5. Calibrating models. 6. Interpolation techniques.

Practical: Climate Analysis & Hydrological Modelling using data for the Rift Valley, Ethiopia

2. Rainfall Runoff Modelling and Design Hydrology.

Lecture: Rainfall Runoff Modelling and Design Flow Estimation - 1. Design hydrology. 2. Rainfall-runoff processes. 3. Types of rainfall-runoff model. 4. Using the Revitalised FEH Rainfall-Runoff (ReFH) models. 5. Calibrating and validating model parameters. 6. Model uncertainty and limitations. 7. Statistical methods to estimate return period design flows.

Practical: Hydrology and Hydrological Analysis - estimating design flood peaks at river gauges using data for UK catchments.

3. Advanced Modelling in Environmental Science

Lecture: Hydraulic River Modelling - 1. Flood modelling process and why it’s relevant. 2. Differences in, 2D and 3D hydraulic models and application to real-world challenges. 3. Practical knowledge of industry-leading modelling software and capabilities. 4. Using state-of-the-art Flood Modeller Pro software.

Practical: Hydraulic River Modelling – Using Flood Modeller Pro (FMP) software to model river flows and levels for UK rivers.

4. Water Resource Modelling

Lecture: Water Scarcity - 1. Water-Food-Energy Nexus and why it’s relevant for water resource modelling. 2. Global water insecurity, water conflicts, and the economics of water scarcity. 3. Drought and drought monitoring systems. 4. Water balance modelling and application to real-world problems.

Practical: Climate and water demand analysis for the Rift Valley, Ethiopia (Part 1).

5. Water and Food Security

Lecture: Water Scarcity & Irrigation agriculture - 1. Constraints to economic and agricultural development. 2. Irrigation demands. 3. Factors affecting evapotranspiration. 4. Measurement and calculation of evapotranspiration. 5. Crop factors, cropping patterns and calendars. 6. Irrigation application methods, efficiencies, and water losses. 7. Reservoir simulation and water balance modelling.

Practical: Climate and water demand analysis for the Rift Valley, Ethiopia (Part 2).

6. Modelling in Mountain Environments

Lecture: Glacier Hydrology and Modelling - 1. Water resource prediction in high mountain basins 2. Glacier hydrology and drainage systems 3. Hydrometeorological measurement in mountain basins 4. Energy balance and degree day modelling 5. Different types of glacier runoff models 6. Limitations and constraints in modelling mountain basins 7. Use of glacier runoff model.

Practical: Glacier Runoff Modelling using data from Passu Glacier, Karakoram Himalayas, Northern Pakistan.

· Each theme is taught using lectures (1 hour) and computer practical exercises (2 hours) using video guides with a weekly online drop-in help session.

· The 1-hour lecture covers different modelling approaches and themes; the relevant theory; the modelling approach, and usage cases for the model, with real-world examples. The lecture is supported by additional learning material including videos (1 hour)

· The weekly computer practicals are taught by guided learning, each computer practical is accompanied by an exercise document and guided videos, where students download and use data and models to simulate environmental processes, and plot / interpret the results based on a theme introduced in the lecture video.

· Software used is freely available online for formative learning which can be used away from the University and students can also remotely access the University computer clusters to access software.

· Weekly activity is supplemented with online video to aid with technical tasks with regular online help through a weekly online video-conferenced help session and via discussion boards and emails.

· The course includes weekly online tests so that the tutor can keep track of individual progress.

· Experts from the industry share their knowledge of environmental modelling via videos using state-of-the-art software available to download at no cost.

· Summative assessment through online Blackboard tests for each computer practical session with immediate feedback is given each week.

· Summative assessment is through a practical book based on computer-based practical exercises related to each theme taught.

· Practical Book as a summative assessment is split into two parts. Part 1 is the Online Exercise Tests (and Part 2 is the written Practical Book of short answers to selected questions in the computer practicals (max 2600-word limit +/-10%)

Practical Book:

Part 1

Online Exercise Tests

Part 2

Practical Book

– Short Answers from selected questions in the 5 Practicals

 R & D Project FD1913 ‘Revitalisation of the FSR/FEH rainfall-runoff method’

Flood Estimation Handbook Supplementary Report.

Flood Estimation Handbook (FEH) Volumes 1 – 5.

Shaw, E. (1991) Hydrology in Practice.

Ferguson, R. I., 1999. Snowmelt runoff models. Progress in Physical Geography, 23 (2), 205-227.

Fountain, A. G., and Tangborn, W., 1985. Overview of contemporary techniques. In Young, G. J. (ed.),

Techniques for prediction of runoff from glacierized areas. International Association of Hydrological Sciences Publication number 149, 27-41.

Lowe, A.T. and Collins D.N. 2001. Modelling runoff from large glacierised basins in the Karakoram Himalaya using remote sensing of the transient snowline. International Association Hydrological Sciences Publication number 267, 99-104.

Richard, C., and Gratton, D. J., 2001. The importance of the air temperature variable for the snowmelt runoff modelling using the SRM. Hydrological Processes, 15 (18), 3357-3370.

Turpin, O. C., Ferguson, R. I., and Clarke, C. D., 1997. Remote sensing of snowline rises as an aid to testing and calibrating a glacier runoff model. Phys. Chem. Earth, 22, 3-4, 279-283.

Various authors, 2003. Mountain Hydrology and Water Resources, Journal of hydrology, Vol. 282, issues 1-4, 1-181.