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Analyzing spatio-temporal dynamics of dissolved oxygen for the River Thames using superstatistical methods and machine learning

Published Online: 2024-09-12

Authors

He, Hankun

Boehringer, Takuya

Schäfer, Benjamin

Heppell, Kate

Beck, Christian
Funding

Funding for this research was provided by:

Helmholtz Association and the Networking Fund (VH-NG-1727)

QMUL Research England impact fund
License Information

Text and Data Mining valid from 2024-09-12

Version of Record valid from 2024-09-12
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Article History

Received: 28 June 2024

Accepted: 3 September 2024

First Online: 12 September 2024

Competing interests

: The authors declare no competing interests.

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