Advancing flood warning procedures in ungauged basins with machine learning

Zimeena Rasheed; Akshay Aravamudan; Ali Gorji Sefidmazgi; Georgios C. Anagnostopoulos; Efthymios I. Nikolopoulos

doi:10.1016/j.jhydrol.2022.127736

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Advancing flood warning procedures in ungauged basins with machine learning

Zimeena Rasheed Akshay Aravamudan Ali Gorji Sefidmazgi Georgios C. Anagnostopoulos Efthymios I. Nikolopoulos

Year: 2022 Journal: Journal of Hydrology Vol: 609 Pages: 127736-127736 Publisher: Elsevier BV

DOI: 10.1016/j.jhydrol.2022.127736

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Keywords:

Flood myth Random forest 100-year flood Flood forecasting Flood warning Environmental science Warning system Computer science Decision tree Storm Interpretability Hydrology (agriculture) Machine learning Meteorology Geography Geology

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Flood Risk Assessment and Management

Physical Sciences → Environmental Science → Global and Planetary Change

Hydrology and Watershed Management Studies

Physical Sciences → Environmental Science → Water Science and Technology

Hydrological Forecasting Using AI

Physical Sciences → Environmental Science → Environmental Engineering

Advancing flood warning procedures in ungauged basins with machine learning

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