Applying artificial neural networks (ANN) model in flash flood simulation and forcast.
Main Article Content
Abstract
Flash floods usually happen in small basins where the measured data of flows is not
enough. Determining parameters of conceptual models such as: TANK, NAM, SSARR or
HEC meets a lot of difficulties. Artificial Neural Networks (ANN) model is one suitable
solution to simulate and forecast flash flood.
enough. Determining parameters of conceptual models such as: TANK, NAM, SSARR or
HEC meets a lot of difficulties. Artificial Neural Networks (ANN) model is one suitable
solution to simulate and forecast flash flood.
References
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2. 2. M.J. Hall & A.w. Minns, Rainfall-runoff modeling as a problem in artificial intelligence: experience with a neural network, BHS 4th National Hydrology Symposium, Cardiff, 1998 pp.23-45.
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4. Nguyen Huu Khai, Research on flash flood in Dinh river basin, Proceedings international symposium on achiuements oflHP-V in Hydrological research, Hanoi, 2001, pp. 135-145.
5. Nguyen Huu Khai, Possibility of applying the combination of ANN and HEC-RAS model for flood forecasting on Ca river, Journal of Meteorology and Hydrology, HaNoi, No.9(2003), p p .16-23.
2. 2. M.J. Hall & A.w. Minns, Rainfall-runoff modeling as a problem in artificial intelligence: experience with a neural network, BHS 4th National Hydrology Symposium, Cardiff, 1998 pp.23-45.
3. Le Xuan Cau, Applying ANN model to correct meteo-hydrologic data, Journal of Meteorology and Hydrology, HaNoi, No.7(1999), 1999, pp.23-29.
4. Nguyen Huu Khai, Research on flash flood in Dinh river basin, Proceedings international symposium on achiuements oflHP-V in Hydrological research, Hanoi, 2001, pp. 135-145.
5. Nguyen Huu Khai, Possibility of applying the combination of ANN and HEC-RAS model for flood forecasting on Ca river, Journal of Meteorology and Hydrology, HaNoi, No.9(2003), p p .16-23.