Event Debrief: Localizing regional scale groundwater big data using machine learning

Event Debrief: Localizing regional scale groundwater big data using machine learning

04 Mar 2021
Elanda
CPD EVENT Following the Talk by Helen Seyler, hosted by the Western Cape Branch on 28 January 2021, Zaheed further extrapolated on the research into the applicability of machine learning for the forward prediction of groundwater levels and flow regime using results from the dolomite aquifers in South Africa, particularly the Romotswa/North West and Gauteng Dolomites.
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Following the Talk by Helen Seyler, hosted by the Western Cape Branch on 28 January 2021, Zaheed further extrapolated on the research into the applicability of machine learning for the forward prediction of groundwater levels and flow regime using results from the dolomite aquifers in South Africa, particularly the Romotswa/North West and Gauteng Dolomites.
This research supports a larger programme researching the use of big data analytics for water secure transboundary systems.

 

Zaheed
Z Gaffoor as speaker at the SADC-GMI Conference 2019, Johannesburg

 ABOUT THE SPEAKER

 Zaheed is a Specialist groundwater consultant with expertise in groundwater exploration services, earth sciences related    services, borehole drilling services and water quality analysis related services, amongst others. His current employment is with  L2K2 Consultants, in Cape Town.
He is also pursuing a PhD degree with The Institute for Water Studies at the University of the Western Cape, focusing Big Data analytics and its application in groundwater sciences.
Zaheed Acknowledge the following partners & sponsors as part of a multi-party programme called the: Big Data and Transboundary Water Collaboration

 

 

 

Multi partner approach zoom
The Big Data Analytics and Transboundary Water Collaboration is a funding initiative comprising the SADC Groundwater Management Institute, the USAID Global Development Lab and Southern African Regional Mission, the South African Department for Science and Technology, IBM Africa Research Lab and the US Geological Survey, supported by the Sustainable Water Partnership.  The Collaboration includes 4 funded projects seeking to support decision-making on groudwater in transboundary aquifers, with its own Community of Practice.

 

 

 

 

 

 

 

 

 

 

 

 

 


 

TALK RESOURCES

  • GWD-Z-Gaffoor-PDF presentation (3,01 MB)
  • This Talk is available via the GWD YouTube Channel.
  • FORMAL PUBLICATION: Gaffoor Z, Pietersen K, Jovanovic N, et al (2020) Big Data Analytics and Its Role to Support Groundwater Management in the Southern African Development Community. Water 12:28. https://doi.org/10.3390/w12102796 (The paper is open source. It should be a good entry point for the subject and provide additional references)
  •  Please contact Zaheed via [email protected] for further discussions relating to this presentation

Want to learn more about Dolomitic Areas in South Africa?

General references:
1) Visit the DWS Groundwater website: DWS Dolomite Units/ Compartments Maps & Guidelines
2) Council for Geoscience: https://www.geoscience.org.za/images/geohazard/Sinkholes.pdf
3) Engineering, hydrogeological and vadose zone hydrological aspects of Proterozoic dolomites (South Africa) https://doi.org/10.1016/j.jafrearsci.2018.07.024
 

Other Big Data references

Q&A SESSION

From Melissa Lintnaar-Strauss: Zaheed will this work assist us to better evaluate mining applications e.g. for mine closures or better manage acid mine drainage?
From Michael Maluleke DWS: Other than the two sites mentioned in the presentation dolomite and alluvial aquifer, was the model tested successfully in other non dolomite areas with enough data to run the model. Generally, how was the performance of the model?
From Dr Thokozane Kanyerere: In data scarce aquifer systems, do you discourage or caution the use machine learning models?
From Adolf.October: How important is cloud computing in machine learning?Why are we using the cloud?

 

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