MSc Data Science (Earth and Environmental Analytics)

The unit begins with a brief consideration of the definition of pollution to put the subsequent content into a framework that makes explicit the connections between natural processes and pollution.  The concept of misplaced materials – e.g. for earth materials; the difference between environment of deposition and exposure - and misplaced people then guides discussion of particular types of pollution.  Some important concentration gradients that then drive pollution such as pH and eH are explained and methods to measure and predict their impacts quantified through consideration of organic (sewage and other reduced carbon) and metal pollution.  In parallel, physical mobility primarily as a result of diffusion and dispersion is considered, quantified and compared in various media from water, to sediment, to groundwater, to streamwater and atmosphere.  Immobility is considered through explanation of the critical role of sorption in controlling much of the pollutant chemistry of natural waters, and methods of measuring and using such measurements to predict mobility.

A 1-day field trip to the Hope Valley integrates the content by providing opportunities to make measurements, to predict outcomes and validate these predictions.

3 hour weekly + 2 hour sessions every 2 weeks or when requested

1 day field trip to UK Peak District – “Environmental Statements for the Hope Valley”

Classroom content

1. What is pollution?

2. The chemistry of natural waters – concepts, measurement and prediction

3. Reduced carbon as the commonest type of pollutant – concepts, measurement and prediction

4. Earth materials as source of pollutants - concepts, measurement and prediction

5. Electron and proton gradients and pollution - concepts, measurement and prediction

6. Earth Materials and pollutant retardation – concepts, measurement and prediction

2- 6.  Also include: Diffusion and dispersion – concepts, quantification, comparison between various media from water, to sediment, to groundwater, to streamwater and atmosphere

1. Collation and analysis of field-trip data so as to meet field trip objectives

Field Day

During Week 9 – One day field (or virtual) visit to Hope Valley to integrate the prior content by meeting objectives of an exercise related to preparing Environmental Statements.  This will include making measurements, predicting outcomes and validating these predictions.

• The first 2/3 of the content teaches general concepts, methods of environmental measurement and data analysis and give a framework into which the subsequent sessions on specific pollution case studies can be integrated.  The latter are linked to an opportunity to synthesise the prior learning in a field trip.
• Each section uses lectures and practical exercises.  The exercises are largely done as guided on-line video, and followed by question and answer sessions – in class and / or via BB bulletin boards.
• In addition to these exercises there is a full day (or if necessary virtual) field trip.
• Formative assessment through on-line BB tests with immediate feedback is given each week.
• Summative assessment is by a single on-line open book test (taken after the last week of teaching) using questions in the same style as the formative tests and with immediate feedback.