MSc Environmental Impact Assessment & Management / Course details

Teaching method is through lectures, seminars, and studio workshops/practicals. Notional hours of Learning is 150 hours. Learning methods is through private study/practical work and directed reading.

Gain an understanding of flood hydrology including data collection and environmental monitoring. Understand the application and use of 1D and 2D river models and hydrological models (i.e. rainfall-runoff). Acquire data analysis & GIS skills including spatial modelling techniques, Gain an understanding of the water-food-energy nexus, global water insecurity and water conflicts, and an introduction of the economics of water scarcity. Learn about the application of water balance modelling (Ethiopia), and irrigation and economic development in the Rift Valley for food security. Discuss climate change issues and modelling in context of Africa. Gain knowledge of mountain hydrology and use and modify a glacier runoff model. Learn about data collection, environmental monitoring, GIS and data analysis techniques.

Develop skills at data interpretation and data analysis, expanding understanding of what is modelling and uncertainty, and writing analytically.

Acquire data analysis & GIS skills; Gain the ability to use 1D river models and hydrological models; Learn to estimate design flows; undertake irrigation and dam analysis, and to develop a glacier runoff model,

To have used industry standard software and used in environmental consultancy which are also applicable to continued research, and be able to write a practical book to a postgraduate standard.

The course will be assessed by a practical book based on computer based practical classes related to each theme taught

Formative written feedback.

Reading Lists should normally be managed through the JRUL 'Link2Lists' facility. This field will generically contain the URL address for the 'Link2Lists' facility, but you can amend this as you wish (either entering a different URL in this field, to the specific reading list for the course unit), or by entering supplementary free text details of the reading list.
It is although advised that the 'Link2Lists' functionality is utilised as standard.

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.

Information
This is semester two course which consists of two weekly two hour sessions.