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An autoregressive machine learning approach to forecast high-resolution groundwater-level anomalies in the Ramotswa/North West/Gauteng dolomite aquifers of Southern Africa

Crossref DOI link: https://doi.org/10.1007/s10040-021-02439-4

Published Online: 2022-01-17

Published Print: 2022-03

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Gaffoor, Zaheed https://orcid.org/0000-0003-1631-6627
Gritzman, Ashley

Pietersen, Kevin

Jovanovic, Nebo

Bagula, Antoine

Kanyerere, Thokozani
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Text and Data Mining valid from 2022-01-17

Version of Record valid from 2022-01-17
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Article History

Received: 29 March 2021

Accepted: 13 December 2021

First Online: 17 January 2022

Declarations

:

: On behalf of all authors, the corresponding author declares no conflict of interest. The funders had no role in the design of the study; in the collection, analyses or interpretation of data; in the writing of the manuscript or in the decision to publish the results.

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