Applications and results of the hydrometeorological flood forecasting chain which has been setup for the Red river and the Ca river are briefly presented here. Five major floods occurred in the Red river in the 1971–2007 period and several floods occurred in the Ca river from 2006 to 2011, including the October 2010 catas- trophic flood, were simulated with the BOLAM—MOLOCH—DIMOSHONG fore- casting chain. The use of runoff observations at fourteen hydrometric stations in the Lo river, a major branch of the Red river, enabled the distributed model updating with an Extended Kalman Filtering, showing an improvement of flood forecasts compared to the results obtained with the rainfall-runoff model without hydrometric observations. Perspectives for improving the forecasting chain and for an operational implementation including surface observations and meteorological corrections using weather-types classification are discussed.
A Hydrometeorological Flood Forecasting Chain for the Red and Ca Rivers (China, Laos and Vietnam) : Part II -Applications and Results / N. L. A., T.T. Hoàng, H.S. Nguyễn, M.C. Vũ, L.T. Đỗ, V.H. Võ, S. Davolio, O. Drofa, S. Barontini, R. Ranzi (UNIPA SPRINGER SERIES). - In: Innovations in Land, Water and Energy for Vietnam’s Sustainable Development / [a cura di] M. Anderle. - [s.l] : Springer, 2021. - ISBN 978-3-030-51259-0. - pp. 15-26 [10.1007/978-3-030-51260-6_2]
A Hydrometeorological Flood Forecasting Chain for the Red and Ca Rivers (China, Laos and Vietnam) : Part II -Applications and Results
S. Davolio;
2021
Abstract
Applications and results of the hydrometeorological flood forecasting chain which has been setup for the Red river and the Ca river are briefly presented here. Five major floods occurred in the Red river in the 1971–2007 period and several floods occurred in the Ca river from 2006 to 2011, including the October 2010 catas- trophic flood, were simulated with the BOLAM—MOLOCH—DIMOSHONG fore- casting chain. The use of runoff observations at fourteen hydrometric stations in the Lo river, a major branch of the Red river, enabled the distributed model updating with an Extended Kalman Filtering, showing an improvement of flood forecasts compared to the results obtained with the rainfall-runoff model without hydrometric observations. Perspectives for improving the forecasting chain and for an operational implementation including surface observations and meteorological corrections using weather-types classification are discussed.File | Dimensione | Formato | |
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2021_Ngoetal@UNIPASpringerSeries_Part2_FloodForecasting.pdf
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