Flood Stage Forecasting Using Machine-Learning Methods: A Case Study on the Parma River (Italy)
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Susanna Dazzi | Paolo Mignosa | Renato Vacondio | P. Mignosa | R. Vacondio | S. Dazzi | Susanna Dazzi
[1] Jian Wu,et al. Flash Flood Forecasting Based on Long Short-Term Memory Networks , 2019, Water.
[2] Mohammad Ali Ghorbani,et al. Comparison of three artificial intelligence techniques for discharge routing , 2011 .
[3] Jun-Haeng Heo,et al. Hourly Water Level Forecasting at Tributary Affected by Main River Condition , 2017 .
[4] Linda See,et al. Applying soft computing approaches to river level forecasting , 1999 .
[5] A. Soldati,et al. River flood forecasting with a neural network model , 1999 .
[6] W. Lee,et al. Simultaneous hydrological prediction at multiple gauging stations using the NARX network for Kemaman catchment, Terengganu, Malaysia , 2016 .
[7] Zaher Mundher Yaseen,et al. An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction , 2019, Journal of Hydrology.
[8] Nitin Muttil,et al. Runoff Estimation by Machine Learning Methods and Application to the Euphrates Basin in Turkey , 2014 .
[9] Changjun Liu,et al. A review of advances in China’s flash flood early-warning system , 2018, Natural Hazards.
[10] Lothar Fuchs,et al. An ensemble neural network model for real-time prediction of urban floods , 2019, Journal of Hydrology.
[11] R. Muñoz‐Carpena,et al. Performance evaluation of hydrological models: Statistical significance for reducing subjectivity in goodness-of-fit assessments , 2013 .
[12] George P. Karatzas,et al. Statistical analysis and ANN modeling for predicting hydrological extremes under climate change scenarios: the example of a small Mediterranean agro-watershed. , 2015, Journal of environmental management.
[13] G. Pender,et al. A deep convolutional neural network model for rapid prediction of fluvial flood inundation , 2020, Journal of Hydrology.
[14] Niranjan Pramanik,et al. Simulation of river stage using artificial neural network and MIKE 11 hydrodynamic model , 2010, Comput. Geosci..
[15] K. P. Sudheer,et al. Short‐term flood forecasting with a neurofuzzy model , 2005 .
[16] Li-Chiu Chang,et al. Exploring a Long Short-Term Memory based Encoder-Decoder framework for multi-step-ahead flood forecasting , 2020 .
[17] Kwok-wing Chau,et al. Flood Prediction Using Machine Learning Models: Literature Review , 2018, Water.
[18] Hui Li,et al. Deep Learning with a Long Short-Term Memory Networks Approach for Rainfall-Runoff Simulation , 2018, Water.
[19] Huicheng Zhou,et al. Flash Flood Forecasting Using Support Vector Regression Model in a Small Mountainous Catchment , 2019, Water.
[20] Jungwook Kim,et al. Development of Water Level Prediction Models Using Machine Learning in Wetlands: A Case Study of Upo Wetland in South Korea , 2019 .
[21] Bernhard Schölkopf,et al. A tutorial on support vector regression , 2004, Stat. Comput..
[22] J. Aerts,et al. Global exposure to river and coastal flooding - long term trends and changes , 2012 .
[23] Gwo-Fong Lin,et al. Real-Time Water-Level Forecasting Using Dilated Causal Convolutional Neural Networks , 2019, Water Resources Management.
[24] Paul Leahy,et al. Structural optimisation and input selection of an artificial neural network for river level prediction , 2008 .
[25] Giha Lee,et al. Application of Long Short-Term Memory (LSTM) Neural Network for Flood Forecasting , 2019, Water.
[26] Ozgur Kisi,et al. Two hybrid Artificial Intelligence approaches for modeling rainfall–runoff process , 2011 .
[27] S. Pistre,et al. Identification of spatial and temporal contributions of rainfalls to flash floods using neural network modelling: case study on the Lez basin (southern France) , 2015 .
[28] J. Monaghan. Smoothed Particle Hydrodynamics and Its Diverse Applications , 2012 .
[29] F. Granata,et al. Support Vector Regression for Rainfall-Runoff Modeling in Urban Drainage: A Comparison with the EPA’s Storm Water Management Model , 2016 .
[30] Hitoshi Tanaka,et al. Developing a hybrid multi‐model for peak flood forecasting , 2009 .
[31] L. Chua,et al. Influence of lag time on event-based rainfall–runoff modeling using the data driven approach , 2012 .
[32] Hyun Il Kim,et al. Flood Evacuation Routes Based on Spatiotemporal Inundation Risk Assessment , 2020, Water.
[33] Jerónimo Puertas,et al. A rapid flood inundation model for hazard mapping based on least squares support vector machine regression , 2019, Journal of Flood Risk Management.
[34] Zaher Mundher Yaseen,et al. Application of soft computing based hybrid models in hydrological variables modeling: a comprehensive review , 2017, Theoretical and Applied Climatology.
[35] Christian W. Dawson,et al. Hydrological modelling using artificial neural networks , 2001 .
[36] I-Fan Chang,et al. Support vector regression for real-time flood stage forecasting , 2006 .
[37] Eric Huang,et al. Real-time multi-step-ahead water level forecasting by recurrent neural networks for urban flood control , 2014 .
[38] Vijay P. Singh,et al. Flood Hydrograph Prediction Using Machine Learning Methods , 2018, Water.
[39] Albert S. Chen,et al. Longitudinal stage profiles forecasting in rivers for flash floods , 2010 .
[40] A. R. Mahmud,et al. An artificial neural network model for flood simulation using GIS: Johor River Basin, Malaysia , 2012, Environmental Earth Sciences.
[41] K. P. Sudheer,et al. Potential application of wavelet neural network ensemble to forecast streamflow for flood management , 2016 .
[42] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[43] Yen-Chang Chen,et al. Flood forecasting using radial basis function neural networks , 2001, IEEE Trans. Syst. Man Cybern. Part C.
[44] Qing Zhang,et al. Neurocomputing in surface water hydrology and hydraulics: A review of two decades retrospective, current status and future prospects , 2020 .