Dimitri P. Solomatine – författare

Applying machine learning and optimization technologies to water management problemsThe rapid development of machine learning brings new possibilities for hydroinformatics research and practice with its ability to handle big data sets, identify patterns and anomalies in data, and provide more accurate forecasts.Advanced Hydroinformatics: Machine Learning and Optimization for Water Resources presents both original research and practical examples that demonstrate how machine learning can advance data analytics, accuracy of modeling and forecasting, and knowledge discovery for better water management.Volume Highlights Include: Overview of the application of artificial intelligence and machine learning techniques in hydroinformaticsAdvances in modeling hydrological systemsDifferent data analysis methods and models for forecasting water resourcesNew areas of knowledge discovery and optimization based on using machine learning techniquesCase studies from North America, South America, the Caribbean, Europe, and AsiaThe American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.

Hydroinformatics is an emerging subject that is expected to gather speed, momentum and critical mass throughout the forthcoming decades of the 21st century. This book provides a broad account of numerous advances in that field - a rapidly developing discipline covering the application of information and communication technologies, modelling and computational intelligence in aquatic environments. A systematic survey, classified according to the methods used (neural networks, fuzzy logic and evolutionary optimization, in particular) is offered, together with illustrated practical applications for solving various water-related issues. These include, but are not limited to, flood estimation, rainfall-runoff modelling, rehabilitation of urban water networks, estimation of ocean temperature profiles, etc. Particular attention is also given to certain aspects of the most recent technological progress in hydroinformatics including the development of protocols for model integration and of computer architectures for modern modelling systems.Invited contributions were obtained from leading international experts - including academics, hydrological practitioners and industrial professionals - such that this edited volume constitutes an authoritative source of reference material and is essential reading for active workers in this field.