Comparison of Several Flood Forecasting Models in Yangtze River

By Kwok-Wing Chau, C. Wu, Yan Li. 2005

339 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/32c3d16962ade0891fe5e43f868d7986b4751d58

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Citations in the corpus

Ensemble machine-learning-based geospatial approach for flood risk assessment using multi-sensor remote-sensing data and GIS (2017, background): “…networks (Kia et al., 2011), frequency ratio (FR) (Lee et al. 2012), logistic regression (Pradhan 2010), adaptive network-based fuzzy inference system (Chau et al. 2005), multi-layered feed forward network (Kar et al., 2015), decision trees (Tingsan-chali & Karim 2010; Merz et al. 2013; Tehrany…”
Reservoir flood control operation based on chaotic particle swarm optimization algorithm (2014, methodology): “With the development of the fusion of water conservancy engineering and computing science by artificial intelligence technology and intelligent optimization method [3–7], many scholars have begun to introduce various optimal algorithms into develop the study on the flood control operation [8–10].”
Evaluating the application of the statistical index method in flood susceptibility mapping and its comparison with frequency ratio and logistic regression methods (2018, methodology): “As it has been stated by Chau et al. (2005), it is imperative to utilize a quick, understandable, and accurate method for flood modelling.”
Monthly Rainfall Forecasting Using EEMD-SVR Based on Phase-Space Reconstruction (2016, background): “The former approach is based on the physical mechanisms of hydrologic processes, and is usually based on the characteristics and scientific understanding of a specific catchment, whereas the latter approach is designed to identify relationships between input and output without considering the intern”
Regional flood frequency analysis using support vector regression in arid and semi-arid regions of Iran (2018, background): “…et al. 2009); rainfall–runoff prediction (Talei et al. 2010, Ghafari and Vafakhah 2012, Kisi et al. 2013); evaporation prediction (Kişi 2006, Dogan et al. 2010); flood forecasting (Chau et al. 2005, Chen et al. 2006); and regional analysis of flow duration curves (Bozchaloei and Vafakhah 2015).”
Iterative operator-splitting methods with higher-order time integration methods and applications for parabolic partial differential equations (2008, methodology): “Therefore the iterative operator-splitting methods are taken into account for decoupling multiphysics problems, as for example real life case studies, as presented in [2,3,7,27].”
Landslide susceptibility mapping using ensemble bivariate and multivariate statistical models in Fayfa area, Saudi Arabia (2015, methodology): “All three methods require high-speed computers that can handle heavy analysis (Chau et al. 2005).”
Artificial neural network simulation of hourly groundwater levels in a coastal aquifer system of the Venice lagoon (2012, background): “…for time series modelling in many hydrological contexts such as rainfallrunoff (Dawson and Wilby, 1998; Hsu et al., 1995), river flow (Cheng et al., 2005; Joorabchi et al., 2007), flood forecasting (Chau et al., 2005), and water quality modelling (Muttil and Chau, 2006; May and Sivakumar, 2009).”
Wavelet Regression Model as an Alternative to Neural Networks for River Stage Forecasting (2011, methodology): “Chau et al. (2005 ) u sed ANN and ANFIS models for forecasting the river stages of the Yangtze River in China and found that these methods were superior to the linear regression model.”
Comparison of Wavelet-Based ANN and Regression Models for Reservoir Inflow Forecasting (2014, background): “flood forecasting (Cheng and Chau 2001; Chau et al. 2005), knowledge-based systems (Chen and Chau 2006), river flow modeling”
Survey of computational intelligence as basis to big flood management: challenges, research directions and future work (2018, methodology): “…Abudu, & King, 2016) ANFIS, GA, PSO, ANN Applying an adaptive fuzzy logic controller combined with evolutionary algorithms in ﬂood control (Chau, Wu, & Li, 2005) ANN, FIS and GA ANN-GA and ANFIS hybrid methods are proposed and evaluated (Badrzadeh, Sarukkalige, & Jayawardena, 2015) ANN,…”