Durham University
Programme and Module Handbook

Undergraduate Programme and Module Handbook 2025-2026

Module ENGI4387: Hydrology and Water Resources 4

Department: Engineering

ENGI4387: Hydrology and Water Resources 4

Type Tied Level 4 Credits 10 Availability Available in 2025/2026 Module Cap None. Location Durham
Tied to H100
Tied to H211
Tied to H212
Tied to H213

Prerequisites

  • ENGI2211

Corequisites

  • As specified in programme regulations.

Excluded Combination of Modules

  • As specified in programme regulations.

Aims

  • This module is designed solely for students studying Department of Engineering degree programmes.
  • To provide an overview and describe the characteristics of hydrological systems.
  • To enable students to apply mathematical and fluid mechanics principles to solve a range of hydrological problems.

Content

  • Hydrological measurements
  • Groundwater flow modelling
  • Evaporation modelling
  • Soil water modelling
  • Rainfall-runoff modelling

Learning Outcomes

Subject-specific Knowledge:
  • How to acquire measurements of river flows, groundwater levels, precipitation and evaporation.
  • How to apply fluid mechanics principles to determine relevant equations for describing flow in porous media.
  • How to apply thermodynamic principles to estimate evaporation from meteorological data.
  • How to apply mass conservation principles to derive fluid flow models for hydrological systems.
  • AHEP4 Learning Outcomes: In order to satisfy Professional Engineering Institution (PEI) accreditation requirements the following Accreditation of Higher Education Programmes (AHEP4) Learning Outcomes are assessed within this module:
  • M1. Apply a comprehensive knowledge of mathematics, statistics, natural science and engineering principles to the solution of complex problems (exam assessed).
Subject-specific Skills:
  • Will be able to derive and apply mathematical models to describe various aspects of hydrological systems.
  • Will be able to apply mathematical models to solve hydrology related engineering problems.
Key Skills:
  • Capacity for independent self-learning within the bounds of professional practice.
  • Specialised numerical skills appropriate to an engineer.
  • Mathematics relevant to the application of advanced engineering concepts.

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

  • The module content is delivered in lectures and is reinforced by problem sheets, equipping students with the required problem solving capability.
  • Students are encouraged to make use of staff 'Surgeries' (otherwise "Office Hours") to discuss any aspect of the module with teaching staff on a one-to-one basis. These are sign-up sessions available for up to one hour per week.
  • Written timed examinations are appropriate because of the wide range of analytical, in-depth material covered in this module and allow students to demonstrate the ability to solve advanced problems independently.

Teaching Methods and Learning Hours

Activity Number Frequency Duration Total/Hours
Lectures 10 Twice weekly 2 hours 20
Surgeries 10 As required, weekly sign-ups available throughout the year Optional attendance as required 5
Revision Classes 1 1 hour 1
Preparation and Reading 74
Total 100

Summative Assessment

Component: Examination Component Weighting: 100%
Element Length / duration Element Weighting Resit Opportunity
On Campus Written Examination 2 hours 100% No

Formative Assessment:

N/A


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