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Module DXX-3707:
Catchment Modelling & Analysis

Catchment Modelling & Analysis 2022-23
DXX-3707
2022-23
School Of Natural Sciences
Module - Semester 2
10 credits
Module Organiser: Sopan Patil
Overview

Major themes covered

  1. Importance of models in scientific inquiry
  2. A brief history of different approaches to catchment modelling
  3. Introduction to MATLAB programming language
  4. Obtaining and processing the input data for models
  5. Modelling of hydrological processes
  6. Automated calibration of model parameters
  7. Lumped vs. distributed catchment models
  8. Decision support tools for catchment management, e.g., Polyscape, WEAP

Assessment Strategy

-threshold -Grade D- to D+Adequate knowledge of the key concepts in catchment modelling. Evidence of limited ability in the use of MATLAB programming language for data visualisation and building catchment models. Structured, accurate and relevant description of the existing catchment models in the literature. Basic level of critical evaluation expected.

-good -Grade C- to B+Clear understanding and thorough knowledge of the key concepts in catchment modelling with ability to independently use MATLAB programming language for data visualisation and building catchment models. Evidence of reading and knowledge of the connection between hydrological and biogeochemical processes on the landscape, as well as the role of humans in modifying them. Thorough analysis and critical evaluation of existing catchment models in the literature. High standard of presentation.

-excellent -Grade A- to A**Clear understanding, wide and thorough knowledge of the key concepts in catchment modelling. Evidence of a substantial ability in using MATLAB programming language for data visualisation and building catchment models. Evidence of substantial reading and appreciation of the connection between hydrological and biogeochemical processes on the landscape, as well as the role of humans in modifying them. Critical evaluation of existing catchment models in the literature with well-reasoned opinion. Elegant and flowing presentation, with flair for subject.

Learning Outcomes

  • An understanding of how models can inform land-use decisions by different stakeholders that affect catchment processes.

  • A thorough understanding of basic environmental modelling concepts such as the control volume approach, interaction and coupling of multiple processes, input data preparation, and parameter calibration

  • An ability to understand and critique existing catchment models in the literature, especially their assumptions and limitations.

  • An ability to visualise the data and build process-based models in MATLAB programming language.

Assessment method

Coursework

Assessment type

Crynodol

Description

Practical 1 - Introductory MATLAB programming

Weighting

25%

Due date

10/03/2023

Assessment method

Coursework

Assessment type

Crynodol

Description

Practical 2 - Building and running a hydrological model using MATLAB

Weighting

30%

Due date

24/03/2023

Assessment method

Coursework

Assessment type

Crynodol

Description

Individual Written Report

Weighting

30%

Due date

05/05/2023

Assessment method

Coursework

Assessment type

Crynodol

Description

Catchment Model Presentation

Weighting

15%

Due date

28/04/2023

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