Sensitivity analysis is referred to the uncertainty analysis in model results from the uncertainties on the model inputs (or something close to this definition). We usually perform this analysis on observation points (point that we know) with certain predefined ranges over the hydraulic parameters.

Python is an object oriented programming language and everything can be treated as an object like a MODFLOW-6 model. Having a pumping test model as an object allows us to use powerful Python libraries as SALib to perform sensibility analysis. 

This webinar covers the whole procedure to perform a sensitivity analysis over a 72 hour pumping test plus recovery on the hydraulic response in an observation piezometer located at 11 meters from the well. the Since the study case it’s a transient model the sensitivities will vary over time and stage of pumping/recovery.

Instructor

Saul Montoya M.Sc

Hydrogeologist - Numerical Modeler

Mr. Montoya is a Civil Engineer graduated from the Catholic University in Lima with postgraduate studies in Management and Engineering of Water Resources (WAREM Program) from Stuttgart University – Germany with mention in Groundwater Engineering and Hydroinformatics. Mr Montoya has a strong analytical capacity for the interpretation, conceptualization and modeling of the surface and underground water cycle and their interaction. He is in charge of numerical modeling for contaminant transport and remediation systems of contaminated sites. Inside his hydrological and hydrogeological investigations Mr. Montoya has developed an holistic comprehension of the water cycle, understanding and quantifying the main hydrological dynamic process of precipitation, runoff, evaporation and recharge to the groundwater system.

Event date

Wednesday, Jan 17 2024 6:00 p.m. Amsterdam Time

Register

webinars.hatarilabs.com/webinardetail/sensibility-analysis-of-transient-pumping-test-with-modflow-6-flopy-and-salib