Advances In Hydroinformatics
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Advances in Hydroinformatics
This book gathers a collection of extended papers based on presentations given during the SimHydro 2017 conference, held in Sophia Antipolis, Nice, France on June 14–16, 2017. It focuses on how to choose the right model in applied hydraulics and considers various aspects, including the modeling and simulation of fast hydraulic transients, 3D modeling, uncertainties and multiphase flows. The book explores both limitations and performance of current models and presents the latest developments in new numerical schemes, high-performance computing, multiphysics and multiscale methods, and better interaction with field or scale model data. It gathers the lastest theoretical and innovative developments in the modeling field and presents some of the most advance applications on various water related topics like uncertainties, flood simulation and complex hydraulic applications. Given its breadth of coverage, it addresses the needs and interests of practitioners, stakeholders, researchers and engineers alike.
Advances in Hydroinformatics
Author: Roman Morris
language: en
Publisher: Murphy & Moore Publishing
Release Date: 2021-11-16
Hydroinformatics is the branch of informatics that applies information and communication to address the crucial problems of the efficient use of water. Computational hydraulics is one of the major disciplines that fall under the domain of hydroinformatics. It primarily focuses on the numerical simulation of water flows and related processes. Different techniques of artificial intelligence are applied in the field of hydroinformatics. A few of them are artificial neural networks, support vector machines and genetic programming. Hydroinformatics draws from the diverse fields of hydrology, hydraulics, data mining and environmental engineering. This book provides comprehensive insights into the field of hydroinformatics. It will help the readers in keeping pace with the rapid changes in this field. The aim of this book is to present researches that have transformed this discipline and aided its advancement.
Advanced Hydroinformatics
Author: Gerald A. Corzo Perez
language: en
Publisher: John Wiley & Sons
Release Date: 2023-12-12
Applying machine learning and optimization technologies to water management problems The 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 hydroinformatics Advances in modeling hydrological systems Different data analysis methods and models for forecasting water resources New areas of knowledge discovery and optimization based on using machine learning techniques Case studies from North America, South America, the Caribbean, Europe, and Asia The 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.