Articles | Volume 22, issue 12
Nat. Hazards Earth Syst. Sci., 22, 3859–3874, 2022
https://doi.org/10.5194/nhess-22-3859-2022

Special issue: Advances in machine learning for natural hazards risk...

Nat. Hazards Earth Syst. Sci., 22, 3859–3874, 2022
https://doi.org/10.5194/nhess-22-3859-2022
Research article
01 Dec 2022
Research article | 01 Dec 2022

Comparison of machine learning techniques for reservoir outflow forecasting

Orlando García-Feal et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2022-171', Anonymous Referee #1, 22 Jun 2022
    • AC1: 'Reply on RC1', Orlando Garcia-Feal, 08 Sep 2022
  • RC2: 'Comment on nhess-2022-171', Anonymous Referee #2, 12 Jul 2022
    • AC2: 'Reply on RC2', Orlando Garcia-Feal, 08 Sep 2022
  • RC3: 'Comment on nhess-2022-171', Anonymous Referee #3, 26 Jul 2022
    • AC3: 'Reply on RC3', Orlando Garcia-Feal, 08 Sep 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (08 Sep 2022) by C. M. Gevaert
AR by Orlando Garcia-Feal on behalf of the Authors (18 Sep 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to minor revisions (review by editor) (06 Oct 2022) by C. M. Gevaert
AR by Orlando Garcia-Feal on behalf of the Authors (16 Oct 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (17 Oct 2022) by C. M. Gevaert
ED: Publish as is (26 Oct 2022) by Philip Ward(Executive Editor)
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Short summary
Extreme events have increased in the last few decades; having a good estimation of the outflow of a reservoir can be an advantage for water management or early warning systems. This study analyzes the efficiency of different machine learning techniques to predict reservoir outflow. The results obtained showed that the proposed models provided a good estimation of the outflow of the reservoirs, improving the results obtained with classical approaches.
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