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Machine-learning algorithms for forecast-informed reservoir operation (FIRO) to reduce flood damages
Autor:
Manizhe Zarei, Omid Bozorg-Haddad, Sahar Baghban, Mohammad Delpasand, Erfan Goharian, Hugo A. Loáiciga
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-21 (2021)
Abstract Water is stored in reservoirs for various purposes, including regular distribution, flood control, hydropower generation, and meeting the environmental demands of downstream habitats and ecosystems. However, these objectives are often in con
Externí odkaz:
https://doaj.org/article/83c5cdd05fd241ea8aa18f926f41c432
Publikováno v:
Irrigation and Drainage. 70:732-742
Throughout history, natural events such as floods, droughts, fires, lightning, and storms have caused significant losses of life and property. To mitigate the hazardous consequences of such events, or ‘failures’ (as they are referred to), a numbe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::456b7ffdb4a2932dba6e22b82074faee
https://doi.org/10.2166/9781789062144_0287
https://doi.org/10.2166/9781789062144_0287