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DOI | 10.1007/s11069-020-04211-5 |
Flood forecasting based on an artificial neural network scheme | |
Dtissibe F.Y.; Ari A.A.A.; Titouna C.; Thiare O.; Gueroui A.M. | |
发表日期 | 2020 |
ISSN | 0921030X |
起始页码 | 1211 |
结束页码 | 1237 |
卷号 | 104期号:2 |
英文摘要 | Nowadays, floods have become the widest global environmental and economic hazard in many countries, causing huge loss of lives and materials damages. It is, therefore, necessary to build an efficient flood forecasting system. The physical-based flood forecasting methods have indeed proven to be limited and ineffective. In most cases, they are only applicable under certain conditions. Indeed, some methods do not take into account all the parameters involved in the flood modeling, and these parameters can vary along a channel, which results in obtaining forecasted discharges very different from observed discharges. While using machine learning tools, especially artificial neural networks schemes appears to be an alternative. However, the performance of forecasting models, as well as a minimum error of prediction, is very interesting and challenging issues. In this paper, we used the multilayer perceptron in order to design a flood forecasting model and used discharge as input–output variables. The designed model has been tested upon intensive experiments and the results showed the effectiveness of our proposal with a good forecasting capacity. © 2020, Springer Nature B.V. |
关键词 | Artificial neural networksFlood forecastingMachine learningMultilayer perceptron |
英文关键词 | artificial neural network; discharge; experimental study; flood forecasting; input-output analysis; machine learning; numerical model; perception |
语种 | 英语 |
来源期刊 | Natural Hazards |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/205672 |
作者单位 | LI-PaRAD Lab, Université Paris Saclay, University of Versailles Saint-Quentin-en-Yvelines, 45 Avenue des États-Unis, Versailles Cedex, 78035, France; LaRI Lab, University of Maroua, Maroua, P.O. Box 814, Cameroon; LANI Lab, Gaston Berger University of Saint-Louis, Saint-Louis, P.O. Box 234, Senegal; LIPADE Lab, University of Paris, 45 Rue des Saints Pères, Paris, 75006, France |
推荐引用方式 GB/T 7714 | Dtissibe F.Y.,Ari A.A.A.,Titouna C.,et al. Flood forecasting based on an artificial neural network scheme[J],2020,104(2). |
APA | Dtissibe F.Y.,Ari A.A.A.,Titouna C.,Thiare O.,&Gueroui A.M..(2020).Flood forecasting based on an artificial neural network scheme.Natural Hazards,104(2). |
MLA | Dtissibe F.Y.,et al."Flood forecasting based on an artificial neural network scheme".Natural Hazards 104.2(2020). |
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