Groundwater time series analysis скачать в хорошем качестве

Groundwater time series analysis

Groundwater Time Series Analysis online course:https://awschool.com.au/training/grou... Register for AWS upcoming free webinars and online training: https://awschool.com.au Slides: https://awschool.com.au/resources HydroGeoSines: https://github.com/HydroGeoSines/Hydr... **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** Webinar number 132 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. #python #groundwater #analysis