Articles | Volume 25, issue 11
Hydrol. Earth Syst. Sci., 25, 5917–5935, 2021
https://doi.org/10.5194/hess-25-5917-2021
Hydrol. Earth Syst. Sci., 25, 5917–5935, 2021
https://doi.org/10.5194/hess-25-5917-2021
Research article
15 Nov 2021
Research article | 15 Nov 2021

Evaluating different machine learning methods to simulate runoff from extensive green roofs

Elhadi Mohsen Hassan Abdalla et al.

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Latest update: 08 Aug 2022
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Short summary
This study investigated the potential of using machine learning algorithms as hydrological models of green roofs across different climatic condition. The study provides comparison between conceptual and machine learning algorithms. Machine learning models were found to be accurate in simulating runoff from extensive green roofs.