How to create a MODFLOW 6 model from geospatial data with Python and Flopy

Nature is geospatial, and every physical process related to the groundwater flow and transport regime is spatially located or spatially distributed. Groundwater models are based on a grid structure and models are discretized on cells located on arrangements of rows and columns; is that level of disconnexion of the spatial position of a piece of porous media and the corresponding cell, row and column that creates some challenges for the sustainable management of groundwater resources. We have developed an applied case of groundwater model discretized from ESRI Shapefiles with refinement areas. Boundary conditions are also set up from spatial data with the intersect functionality of Flopy. Model surface and layer bottom are imported / processed from xyz point data. The simulation is run for one steady and ten transient stress periods and results are plotted for head on aerial view and cross section.

Instructor / 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.

Language / Lenguaje:

English

Event date / Fecha del evento:

Wednesday, November 13 2024 6:00 p.m. Amsterdam Time

Hosted by / Organizado por:

Hatarilabs

Stream link / Enlace de transmisión:

https://meet.google.com/wwi-irpv-jsd

Input data / Datos de entrada:

https://owncloud.hatarilabs.com/s/FGSHM8jiwSoodJ1

Additional instructions / Instrucciones adicionales:

Password to download data: Hatarilabs. You need to have Anaconda installed on your computer.