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Teaching Innovation Project Modelling in the environmental sciences - Enhancing employability for the environmental sector Stefan Krause, Zoe Robinson School of Physical and Geographical Sciences. Modelling in Environmental Sciences. Modelling in Environmental Sciences. Rf. A. Int.

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Teaching innovation project modelling in the environmental sciences

Teaching Innovation Project

Modelling in the environmental sciences

-

Enhancing employability for the environmental sector

Stefan Krause, Zoe Robinson

School of Physical and Geographical Sciences



Modelling in environmental sciences1
Modelling in Environmental Sciences

Rf

A

Int

OVF1

Rf

ET

Ovf

S1

OVF2

TF

S2

C

TF1

OVFn

Sn

P1

TF2

DTM

Ro

TFn

etc.

P2

Q

Pn

Q

2D distributed

lumped

3D distributed

Numerical Model Generation, Conceptualisation and Model Parameterisation, Data analysis, Geo-statistics, Calibration and Validation of Numerical Models, Scenario Development and Simulation, Model Testing and Prediction, Forecasting, Uncertainty Analysis….






Teaching innovation project modelling in the environmental sciences

The Project

Applied Methods

in the Environmental Sciences


Teaching innovation project modelling in the environmental sciences

The Project

Applied Methods

in the Environmental Sciences


Teaching innovation project modelling in the environmental sciences

Applied Methods

in the Environmental Sciences

  • Environmental Statistics (Statistical Programming)

    • Environmental data

    • Introduction into statistics and time series analysis

    • Spatial statistics – Geo-statistics

    • Data analysis and presentation tools

  • Environmental (Geographical) Information Systems

    • Spatial data – types and structures

    • Spatial data bases and how to use them

    • Grid based digital terrain analysis

    • GIS for hydrological modelling

  • 3.Environmental Modelling

    • Modelling in an environmental context

    • Model types and model building

    • Model procedures, calibration and validation techniques

    • Scenario techniques

    • Model uncertainties




Digital surface models

Types

DEM : Digital Elevation Model

DSM : Digital Surface Model

DTM : Digital Terrain Model

Data Structure

Raster

TIN

Digital Surface Models

Steve Kopp, Dean Djokic ( ESRI), Al Rea (USGS)


Teaching innovation project modelling in the environmental sciences

Geographical data analyses

Spatial Interpolation

Ex: Interpolation of precipitation for weather forecasting



Teaching innovation project modelling in the environmental sciences

Conceptual Model DevelopmentScenario Generation and SimulationCritical Analysis of Model Uncertainties