The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/8f3c044d-db51-41d5-addc-f5e33333aa44

Carrizo Mascarell, Maria; Riakhi, Fatima Ezzahra; Werthmüller, dieter; Slob, Evert; van Breukelen, Boris M (2024): Data and code underlying the publication: Integrating electromagnetic induction measurements and electrical resistivity tomography to monitor rainwater lenses in Dutch polders. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/8f3c044d-db51-41d5-addc-f5e33333aa44.v1

Software

• Soils
• Land and Water Management
• Geophysics
• Physical and Chemical Conditions of Water
• Earth Sciences
• Environment

electric resistive tomography, electromagnetic induction, laterally constrained inversion

2024

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Maria Carrizo Mascarell , Fatima Ezzahra Riakhi , dieter Werthmüller , Evert Slob , Boris M van Breukelen

This repository holds Jupyter Notebooks to perform an integrated inversion of frequency domain electromagnetic induction measurements and electrical resistive tomography. The purpose of the study was to characterize the subsoil's electrical properties. Field data was acquired in De Cocksdorp, The Netherlands

• 2024-10-10 first online, published, posted

4TU.ResearchData

python

Integrating electromagnetic induction measurements and electrical resistivity tomography to monitor rainwater lenses in dutch polders

https://github.com/mariacarrizo/EMI-ERT_Freshwater

• AGRICOAST (grant code KICH1.LWV02.20.002) [more info...] Netherlands Organization for Scientific Research (NWO)

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience and Engineering