Handbook of HydroInformatics: Volume III: Water Data Management Best Practices

Water Data Management Best Practices, Volume Three in the Handbook of HydroInformatics series, presents the latest important data processing techniques fundamental in Water Science and Engineering disciplines, including a wide range of new methods that are used in hydro-modeling, including Atmospheric Teleconnection Pattern, CONUS-Scale Hydrologic Modeling, Copula Function, Decision Support System, Downscaling Methods, Dynamic System Modeling, Economic Impacts and Models, Geostatistics and Geospatial Frameworks, Hydrologic Similarity Indices, Hydropower/Renewable Energy Models, Sediment Transport Dynamics Advanced Models, Social Data Mining and Wavelet Transforms. This volume is a true interdisciplinary work that will appeal to post graduates and those interested in Water Science, Geotechnical Engineering, Soil Science, Civil Engineering, Chemical Engineering, Computer Engineering, Engineering, Applied Science, Earth and Geoscience, Atmospheric Science, Geography, Environment Science, Natural Resources, Mathematical Science and Social Sciences. Contains contributions from global experts in the fields of data management research, climate change and resilience, insufficient data problem, and more Presents applied examples and case studies in each chapter, providing the reader with real-world scenarios for comparison includes a wide range of new methods that are used in hydro-modeling, with step-by- step guides on how to use them INDICE: 69. Atmospheric Teleconnection Pattern70. Bathymetry and Roughness Acquisition71. CFD Models72. Cluster and Discriminant Analysis73. CONUS-Scale Hydrologic Modeling74. Copula Function75. Cyberinfrastructure for Water Science76. Decision Support System77. Downscaling Methods78. Drone Technology in River/Lake/Estuarine79. Dynamic System Modeling80. Ecohydrology Nature Based Solutions Quantification of Processes81. Ecohydraulic Modeling and Experimentation82. Economic Impacts and Models83. Emergency Management84. Geostatistics and Geospatial Frameworks85. Hydrological modeling in a Big Data era86. Hydrologic Similarity Indices87. Hydrologic Model Training and Validation88. Hydropower/Renewable Energy Models89. Hydrothermal Systems Generation90. Multi-Variate Linear Moments91. Online Education in Hydroinformatics92. Radar Application93. Real-time Sensor Management94. Remote Sensing95. Sediment Transport Dynamics Advanced Models96. Smart Cities and Hydroinformatic Data97. Social Data Mining in Hydrosystems98. Spectrum Water Technology99. Vegetal Drag Modelling100. Water Data Standards101. Water Performance Metrics102. Wavelet Transforms

• ISBN: 978-0-12-821962-1
• Editorial: Elsevier
• Encuadernacion: Rústica
• Páginas: 450
• Fecha Publicación: 01/10/2022
• Nº Volúmenes: 1
• Idioma: Inglés