Analytical groundwater modelling in Python - Live Training

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About

Mathematical models are an essential part of a hydrologist’s daily life. This course shows how you can use the immensely popular and powerful programming language Python to develop powerful analytical models. Solutions for flow problems in confined, unconfined and coastal aquifers will be provided, which may be steady state or transient. Problems involving wells, rivers and streams will also be covered.

This course is intended for hydro(geo)logists who already have experience with Python and is aimed at practitioners and researchers who want to use Python to create groundwater models. It will aid you in consolidating your knowledge of groundwater hydraulics and provide you with a set of ready-to-use Python scripts that can easily be adapted for other flow problems.

Analytical solutions provide essential insight in the flow system that is difficult to obtain with numerical models.

Details

Date	Thursday, 27 June 2024 - Thursday, 11 July 2024
Time	3:00pm (Australia/Sydney; find your local time)
Location	Online
Format	x3, 2hour live training + recordings; pre and post course materials to go through via the learning platform
Cost	Early bird rate closes 29th May 2024: AUD$595.00 Standard fee AUD$695.00 (INC GST)
Code	LC-24-3-106
Contact	training@awschool.com.au
Tags	Groundwater / Python

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Register your interest: https://awschool.com.au/training/analytical-groundwater-modelling/

Looking to start the course sooner? Register and start immediately with on-demand Groundwater modelling in Python!

Learning outcomes

Attendees will gain an understanding of programming analytical solutions in Python and:

Create groundwater flow nets;
Calculate water balances and residence times;
Visualise model results;
Combine solutions with the analytic element method.

Course Outline

Session 1
• Head and flow in confined and semi-confined aquifers;
• Unconfined flow and interface flow in coastal aquifers;
• Travel time calculations.

Session 2
• Transient flow systems: the effect of recharge and flood waves;
• Time-series analysis of head time series;
• Interpretation of pumping tests.

Session 3
• Two-dimensional flow to wells, superposition;
• Capture zone analysis;
• Analytical element models.

Background

This course closely follows the author’s book released June 2022;

Analytical Groundwater Modeling

Theory and Applications using Python

This book covers the theoretical aspects of mathematical groundwater models. The focus is on the fundamentals of the quantitative methods used to simulate, understand, and investigate groundwater systems. Uniquely, it provides hands-on exercises based on Python.

Further details and to buy the book can be found at Routledge.

You can also find the repository of all the Python code of the book here.

Format

3 live and interactive sessions of 2 hours over three weeks
– Thursday, 27th June 2024, 3-5pm Sydney time
– Thursday, 4th July 2024, 3-5pm Sydney time
– Thursday, 11th July 2024, 3-5pm Sydney time
Live session recordings available via the learning platform (LMS) if you are unable to attend live;
Unlimited course access for 30-days after the last live session;
Pre-and-post-course materials to go through via the LMS;
Exercises between the 3 sessions;
Manual of the course and working model download/s;
Ability to ask questions to the presenters live and at anytime through the LMS.

Prerequisites

If you are not familiar with Python we strongly encourage you to complete the Python Essentials and/or Python for Hydrology and Hydrogeology course/s prior to enrolling.

Requirements

A good internet connection and software and downloads as described in the learning platform.

Outcome

On completion of the course, attendees will be issued with a Certificate of Participation.

Attendees earn CPD hours/points (ie with Engineers Australia) for at least 12 hours for the entire course.

Further training

If you are interested in working with numerical (finite differences) groundwater models in Python, please register for our On-demand MODFLOW 6 & FloPy course.

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