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watex: Machine learning research in water exploration

Domaine:

environment and energygeospatial

Type de record:

software
Créateur:
KOUADIO, Kouao Laurent
Éditeur:
Zenodo
Hôte:avatar

 WATex  is a Python library to solve engineering problems in the field of groundwater exploration. It brings  intelligent approaches for reducing numerous losses during the hydro-geophysical exploration projects via  the geophysical, hydrogeology, and geology methods. The library minimizes the unsuccessful drillings,  unsustainable boreholes, reduce the cost of the  hydrogeology parameter collections, predict the  groundwater flow rate and the level of water inrush, recover the electromagnetic loss signals...

WATex  mission is to bring a piece of solution in a wide program of WATER4ALL such as participating in Sustanaible Development Goa… and Africa Agenda 2063 N1 achievements. 

What's Changed

  • add confidence plot prior to the EM tensor recovery by @WEgeophysics in https://github.com/WEgeophy…
  • Develop by @WEgeophysics in https://github.com/WEgeophy…
  • fix attribute Error generated in stratifydata from BaseSteps module by @WEgeophysics in https://github.com/WEgeophy…
  • fix issue of flake8- revising the setup.cfg by @WEgeophysics in https://github.com/WEgeophy…
  • Develop by @WEgeophysics in https://github.com/WEgeophy…

Full Changelog: https://github.com/WEgeophy…

 

We will appreciate to cite the following paper if watex is integral to a scientific publication: doi.org

Visit

doi.org

Tags

PythonMachine learningwaterexplorationhydro-geophysics

Licenses

info:eu-repo/semantics/openAccessBSD 3-Clause "New" or "Revised" Licensehttps://opensource.org/licenses/BSD-3-Clause