#132 Groundwater time series analysis

Groundwater Time Series Analysis online course: https://awschool.com.au/time
Register for AWS upcoming free webinars and online training: https://awschool.com.au
Slides: https://awschool.com.au/resources
HydroGeoSines: https://github.com/HydroGeoSines/HydroGeoSines

***Chapters***
00:00 - Presenter Introductions & Polls
04:33 - Key concepts intro | Todd Rasmussen
18:16 - Traditional methods of interpretation | Chris Turnadge
31:00 - Passive Subsurface Characterisation | Gabriel Rau
41:45 - Python Package- HydroGeoSines
43:39 - Q&A
53:30 - Further training


***Description***
How the Python language can be used to gain additional insights from existing groundwater hydrograph datasets

This webinar is the introduction for the Course: Groundwater time series analysis, register here: https://awschool.com.au/time

Expert presenters demonstrate how the Python language can be used to pre-process and interpret standard groundwater monitoring datasets, including the removal of barometric pressure and Earth tide effects from time series data. They will also demonstrate how aquifer types and behaviours can be characterised using Barometric Efficiency values and Barometric Response Functions.
 
You will also learn how aquifer properties, such as hydraulic conductivity and specific storage from time series data, can be used as a cost-effective addition or alternative to traditional applied hydraulic testing.

Topics covered briefly will include:
How to automate pre-processing tasks, including resampling measurements to a consistent time step, and using interpolation methods for gap filling;
How to remove the effects of barometric pressure and Earth tides, as performed previously by software such as BETCO;
How to use a range of methods to identify aquifer confinement types from groundwater responses to Earth tides;
How to use a range of methods to estimate the specific storage of confined aquifers from groundwater responses to Earth and atmospheric tides; and,
How to estimate aquifer hydraulic conductivity from groundwater responses to Earth tides.