Durham University
Programme and Module Handbook

Undergraduate Programme and Module Handbook 2013-2014 (archived)

Module GEOG4041: ADVANCED CATCHMENT SCIENCE

Department: Geography

GEOG4041: ADVANCED CATCHMENT SCIENCE

Type Tied Level 4 Credits 20 Availability Available in 2013/14 Module Cap None. Location Durham
Tied to F802

Prerequisites

  • None

Corequisites

  • None

Excluded Combination of Modules

  • GEOG4031 Practical Skills in Sea Level Science; GEOG4051 Glaciated Basins

Aims

  • To develop an advanced level knowledge about flow and sediment processes and use this knowledge to predict the fluvial environment
  • To provide field and practical based training in the measurement, analysis and interpretation of the fluvial environment and to use this knowledge to develop predictive relationships
  • Use these predictive relationships, along with numerical models, to consider management strategies

Content

  • The core of this module is a three day field investigation of a UK river system with dedicated days looking at flow, sediment transport and management issues. This is augmented by a series of lectures which provide theoretical and conceptual understanding and workshops which develop quantitative analysis of field data and the interpretation of numerical models. Students will work with staff as a collaborative team, so that the quantitative database developed during the module could ultimately be converted to material of publishable quality. Hence the field study location will occasionally change according to research priorities. Initial catchments may include either the River Wharfe (North Yorkshire) or the Derwent (Cumbria).

Learning Outcomes

Subject-specific Knowledge:
  • A thorough understanding of the range of quantitative process based fluvial geomorphology
  • An in depth knowledge of current scientific literature and industry-focused approaches
  • Advanced understanding of the professional approaches and styles of data compilation, interpretation and presentation
Subject-specific Skills:
  • Plan, design, execute and report at a advanced research level on a team-based investigation of fluvial geomorphology
  • Undertake advanced fieldwork, laboratory analysis of field methods and interpretation of numerical models
  • Employ at a professional level a variety of technical and laboratory-based methods for the analysis of hydraulic and sediment transport data. This includes quantitative analysis and data modelling
  • Conduct advanced quantitative methods on, and synthesize a complex and large data set, and present project results to a professional standard of potentially publishable quality
Key Skills:
  • Critical analysis and interpretation of data at a research level appropriate to a masters degree
  • Planning, executing and reporting to a professional standard on intensive field-based investigations (in rivers)
  • Solving problems and making reasoned decisions
  • Communicate effectively and professionally in written and graphical media
  • Apply advanced numerical and computational skills to complex data sets
  • Identify, retrieve, interrogate and assimilate complementary data from primary and secondary sources

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

  • Core lectures in Term 1 introducing key theoretical concepts
  • Preparation briefing before the field investigation formulates the context for the fieldwork programme, involving familiarization with and synthesis of complex location-based and conceptual literature, acquisition of, familiarization with and preliminary work on secondary data sources, aerial photography and digital elevation models
  • The field trip allows data acquisition by a co-ordinated investigation team and individually allows the implementation of field skills and best practise in the management of field data recording (including field notebooks) as previously developed at Levels 1-3
  • Post fieldwork workshops involve primary and secondary data collation, analysis and preparation using numerical modelling and quantitative data analysis
  • Students will present their data and interpretations in seminars. This will be formatively assessed
  • Summative assessment is undertaken on a final project report

Teaching Methods and Learning Hours

Activity Number Frequency Duration Total/Hours
Lectures (preparation briefing) 2 Pre-sessional (end of September) 6 and 3 hours 9
Lectures 5 Term 1 2 10
Field trip 1 Pre-sessional (end of September / early October) 3 days (7 hours per day) 21
Workshops 10 Bi-weekly (Terms 1 and 2) 2 hours 20
Project Presentation Seminars 1 Term 2 3 hours 3
Self-directed learning 137
Total 200

Summative Assessment

Component: Field Project Report Component Weighting: 70%
Element Length / duration Element Weighting Resit Opportunity
Field Project Report 3000 words 100%
Component: Workshop Practical Reports Component Weighting: 30%
Element Length / duration Element Weighting Resit Opportunity
Workshop Practical Report 1 1000 words 50%
Workshop Practical Report 2 1000 words 50%

Formative Assessment:

Feedback on field data records and note taking. Feedback on 30 minute project presentation


Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University