Gerald A. Corzo Perez, IHE Delft Institute for Water Education, The Netherlands Dimitri P. Solomatine, IHE Delft Institute for Water Education, and Delft University of Technology, The Netherlands, and Water Problems Institute of the Russian Academy of Sciences, Moscow, Russia

• List of Contributors viiPreface xi1 Hydroinformatics and Applications of Artificial Intelligence and Machine Learning in Water-RelatedProblems 1Gerald A. Corzo Perez and Dimitri P. SolomatinePart I Modeling Hydrological Systems2 Improving Model Identifiability by Driving Calibration With Stochastic Inputs 41Andreas Efstratiadis, Ioannis Tsoukalas, and Panagiotis Kossieris3 A Two-Stage Surrogate-Based Parameter Calibration Framework for a Complex DistributedHydrological Model 63Haiting Gu, Yue-Ping Xu, Li Liu, Di Ma, Suli Pan, and Jingkai Xie4 Fuzzy Committees of Conceptual Distributed Model 99Mostafa Farrag, Gerald A. Corzo Perez, and Dimitri P. Solomatine5 Regression-Based Machine Learning Approaches for Daily Streamflow Modeling 129Vidya S. Samadi, Sadgeh Sadeghi Tabas, Catherine A. M. E. Wilson, and Daniel R. Hitchcock6 Use of Near-Real-Time Satellite Precipitation Data and Machine Learning to Improve Extreme RunoffModeling 149Paul Muñoz, Gerald A. Corzo Perez, Dimitri P. Solomatine, Jan Feyen, and Rolando CélleriPart II Forecasting Water Resources7 Forecasting Water Levels Using Machine (Deep) Learning to Complement Numerical Modeling in theSouthern Everglades, USA 179Courtney S. Forde, Biswa Bhattacharya, Dimitri P. Solomatine, Eric D. Swain, and Nicholas G. Aumen8 Application of a Multilayer Perceptron Artificial Neural Network (MLP-ANN) in HydrologicalForecasting in El Salvador 213Jose Valles9 Noise Filter With Wavelet Analysis in Artificial Neural Networks (NOWANN) for Flow Time SeriesPrediction 241Daniel A. Vázquez, Gerald A. Corzo Perez, and Dimitri P. SolomatinePart III Knowledge Discovery and Optimization10 Application of Natural Language Processing to Identify Extreme Hydrometeorological Events inDigital News Media: Case of the Magdalena River Basin, Colombia 285Santiago Duarte, Gerald A. Corzo Perez, Germán Santos, and Dimitri P. Solomatine11 Three-Dimensional Clustering in the Characterization of Spatiotemporal Drought Dynamics: ClusterSize Filter and Drought Indicator Threshold Optimization 319Vitali Diaz, Gerald A. Corzo Perez, Henny A. J. Van Lanen, and Dimitri P. Solomatine12 Deep Learning of Extreme Rainfall Patterns Using Enhanced Spatial Random Sampling With PatternRecognition 343Han Wang and Yunqing Xuan13 Teleconnection Patterns of River Water Quality Dynamics Based on Complex Network Analysis 357Jiping Jiang, Sijie Tang, Bellie Sivakumar, Tianrui Pang, Na Wu, and Yi Zheng14 Probabilistic Analysis of Flood Storage Areas Management in the Huai River Basin, China, WithRobust Optimization and Similarity-Based Selection for Real-Time Operation 373Xingyu Zhou, Andreja Jonoski, Ioana Popescu, and Dimitri P. Solomatine15 Multi-Objective Optimization of Reservoir Operation Policies Using Machine Learning Models: ACase Study of the Hatillo Reservoir in the Dominican Republic 409Carlos Tami, Gerald A. Corzo Perez, Fidel Perez, and Germain SantosIndex 447

Gerald A. Corzo Perez, IHE Delft Institute for Water Education, The Netherlands Dimitri P. Solomatine, IHE Delft Institute for Water Education, and Delft University of Technology, The Netherlands, and Water Problems Institute of the Russian Academy of Sciences, Moscow, Russia

• List of Contributors viiPreface xi1 Hydroinformatics and Applications of Artificial Intelligence and Machine Learning in Water-RelatedProblems 1Gerald A. Corzo Perez and Dimitri P. SolomatinePart I Modeling Hydrological Systems2 Improving Model Identifiability by Driving Calibration With Stochastic Inputs 41Andreas Efstratiadis, Ioannis Tsoukalas, and Panagiotis Kossieris3 A Two-Stage Surrogate-Based Parameter Calibration Framework for a Complex DistributedHydrological Model 63Haiting Gu, Yue-Ping Xu, Li Liu, Di Ma, Suli Pan, and Jingkai Xie4 Fuzzy Committees of Conceptual Distributed Model 99Mostafa Farrag, Gerald A. Corzo Perez, and Dimitri P. Solomatine5 Regression-Based Machine Learning Approaches for Daily Streamflow Modeling 129Vidya S. Samadi, Sadgeh Sadeghi Tabas, Catherine A. M. E. Wilson, and Daniel R. Hitchcock6 Use of Near-Real-Time Satellite Precipitation Data and Machine Learning to Improve Extreme RunoffModeling 149Paul Muñoz, Gerald A. Corzo Perez, Dimitri P. Solomatine, Jan Feyen, and Rolando CélleriPart II Forecasting Water Resources7 Forecasting Water Levels Using Machine (Deep) Learning to Complement Numerical Modeling in theSouthern Everglades, USA 179Courtney S. Forde, Biswa Bhattacharya, Dimitri P. Solomatine, Eric D. Swain, and Nicholas G. Aumen8 Application of a Multilayer Perceptron Artificial Neural Network (MLP-ANN) in HydrologicalForecasting in El Salvador 213Jose Valles9 Noise Filter With Wavelet Analysis in Artificial Neural Networks (NOWANN) for Flow Time SeriesPrediction 241Daniel A. Vázquez, Gerald A. Corzo Perez, and Dimitri P. SolomatinePart III Knowledge Discovery and Optimization10 Application of Natural Language Processing to Identify Extreme Hydrometeorological Events inDigital News Media: Case of the Magdalena River Basin, Colombia 285Santiago Duarte, Gerald A. Corzo Perez, Germán Santos, and Dimitri P. Solomatine11 Three-Dimensional Clustering in the Characterization of Spatiotemporal Drought Dynamics: ClusterSize Filter and Drought Indicator Threshold Optimization 319Vitali Diaz, Gerald A. Corzo Perez, Henny A. J. Van Lanen, and Dimitri P. Solomatine12 Deep Learning of Extreme Rainfall Patterns Using Enhanced Spatial Random Sampling With PatternRecognition 343Han Wang and Yunqing Xuan13 Teleconnection Patterns of River Water Quality Dynamics Based on Complex Network Analysis 357Jiping Jiang, Sijie Tang, Bellie Sivakumar, Tianrui Pang, Na Wu, and Yi Zheng14 Probabilistic Analysis of Flood Storage Areas Management in the Huai River Basin, China, WithRobust Optimization and Similarity-Based Selection for Real-Time Operation 373Xingyu Zhou, Andreja Jonoski, Ioana Popescu, and Dimitri P. Solomatine15 Multi-Objective Optimization of Reservoir Operation Policies Using Machine Learning Models: ACase Study of the Hatillo Reservoir in the Dominican Republic 409Carlos Tami, Gerald A. Corzo Perez, Fidel Perez, and Germain SantosIndex 447

Gerald A. Corzo Perez, IHE Delft Institute for Water Education, The Netherlands Dimitri P. Solomatine, IHE Delft Institute for Water Education, and Delft University of Technology, The Netherlands, and Water Problems Institute of the Russian Academy of Sciences, Moscow, Russia

• List of Contributors viiPreface xi1 Hydroinformatics and Applications of Artificial Intelligence and Machine Learning in Water-RelatedProblems 1Gerald A. Corzo Perez and Dimitri P. SolomatinePart I Modeling Hydrological Systems2 Improving Model Identifiability by Driving Calibration With Stochastic Inputs 41Andreas Efstratiadis, Ioannis Tsoukalas, and Panagiotis Kossieris3 A Two-Stage Surrogate-Based Parameter Calibration Framework for a Complex DistributedHydrological Model 63Haiting Gu, Yue-Ping Xu, Li Liu, Di Ma, Suli Pan, and Jingkai Xie4 Fuzzy Committees of Conceptual Distributed Model 99Mostafa Farrag, Gerald A. Corzo Perez, and Dimitri P. Solomatine5 Regression-Based Machine Learning Approaches for Daily Streamflow Modeling 129Vidya S. Samadi, Sadgeh Sadeghi Tabas, Catherine A. M. E. Wilson, and Daniel R. Hitchcock6 Use of Near-Real-Time Satellite Precipitation Data and Machine Learning to Improve Extreme RunoffModeling 149Paul Muñoz, Gerald A. Corzo Perez, Dimitri P. Solomatine, Jan Feyen, and Rolando CélleriPart II Forecasting Water Resources7 Forecasting Water Levels Using Machine (Deep) Learning to Complement Numerical Modeling in theSouthern Everglades, USA 179Courtney S. Forde, Biswa Bhattacharya, Dimitri P. Solomatine, Eric D. Swain, and Nicholas G. Aumen8 Application of a Multilayer Perceptron Artificial Neural Network (MLP-ANN) in HydrologicalForecasting in El Salvador 213Jose Valles9 Noise Filter With Wavelet Analysis in Artificial Neural Networks (NOWANN) for Flow Time SeriesPrediction 241Daniel A. Vázquez, Gerald A. Corzo Perez, and Dimitri P. SolomatinePart III Knowledge Discovery and Optimization10 Application of Natural Language Processing to Identify Extreme Hydrometeorological Events inDigital News Media: Case of the Magdalena River Basin, Colombia 285Santiago Duarte, Gerald A. Corzo Perez, Germán Santos, and Dimitri P. Solomatine11 Three-Dimensional Clustering in the Characterization of Spatiotemporal Drought Dynamics: ClusterSize Filter and Drought Indicator Threshold Optimization 319Vitali Diaz, Gerald A. Corzo Perez, Henny A. J. Van Lanen, and Dimitri P. Solomatine12 Deep Learning of Extreme Rainfall Patterns Using Enhanced Spatial Random Sampling With PatternRecognition 343Han Wang and Yunqing Xuan13 Teleconnection Patterns of River Water Quality Dynamics Based on Complex Network Analysis 357Jiping Jiang, Sijie Tang, Bellie Sivakumar, Tianrui Pang, Na Wu, and Yi Zheng14 Probabilistic Analysis of Flood Storage Areas Management in the Huai River Basin, China, WithRobust Optimization and Similarity-Based Selection for Real-Time Operation 373Xingyu Zhou, Andreja Jonoski, Ioana Popescu, and Dimitri P. Solomatine15 Multi-Objective Optimization of Reservoir Operation Policies Using Machine Learning Models: ACase Study of the Hatillo Reservoir in the Dominican Republic 409Carlos Tami, Gerald A. Corzo Perez, Fidel Perez, and Germain SantosIndex 447