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18 followers · 40 following
  • UniKassel, De
  • Kassel, Germany

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Achievement: Pair ExtraordinaireAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

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Achievement: Pair ExtraordinaireAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

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vcantarella/README.md

Hi there 👋

I am hydrogeologist, currently doing my phd in UniKassel on reactive transport modelling and linking hydrogeology to reactive transport models. I have a Masters in Groundwater and Global Change from the GroudWatch program, I am passionate about open-source. I am currently using Python for my research, and playing a bit with Julia I have some work experience with modelling, water sample collection and analysis and pumping tests, among other activities.

Check my pinned repos to check some of what I have been doing with open source solutions. I am currently programming in Python R and Julia if you need some help with your open-source solution in groundwater, geology, numerical modelling, let me know.

  • 🔭 I’m currently working on Reactive Transport Modelling, Groundwater Modelling, Groundwater Recharge models, geological modelling
  • 🌱 I’m currently learning more about numerical modelling, ODE Solvers, GPU computing, Finite Volume, Finite Differences and Finite Elements, and underlying mathemathics (Linear Algebra).
  • 👯 I’m looking to collaborate on open source projects in groundwater modelling, groundwater hydrology, and others.
  • 🤔 I’m looking for help with my geological and hydrogeological integration framework (gis+ gelogical data + geophysics integration -> modflow models)
  • 📫 How to reach me: Send me a message here!

Pinned Loading

  1. seawat-exercises seawat-exercises Public

    Exercises from IHE-Salwater modelling class done in Flopy

    Jupyter Notebook 1

  2. arusha_recharge arusha_recharge Public

    PCRaster implementation of simple recharge model applied to a test case in Arusha, Tanzania

    Python 1 1

  3. particle_track particle_track Public

    Particle tracker for MODFLOW models that uses parallel processing and numba for optimized performance. It is focused on traveltime and relative time calculations for cumulative reactivity models

    Jupyter Notebook 1