big data

Developing A Transboundary Aquifer Analytic Framework To Support Localised Groundwater Decision-Making Using Big Data

Big data analytics (BDA) is a modern and innovative platform of applications that include advanced analytical techniques such as data mining, statistical analysis, artificial intelligence, machine learning, and natural language processing. Regional data are generated through groundwater monitoring, remote sensing applications or global circulation models (GCM), however this is often too course for a local understanding. Groundwater managers rely on locally relevant information for effective operational decision making, however this is often missing.

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