Handbook of HydroInformatics: Volume III: Water Data Management Best Practices 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
69. Atmospheric Teleconnection Pattern
70. Bathymetry and Roughness Acquisition
71. CFD Models
72. Cluster and Discriminant Analysis
73. CONUS-Scale Hydrologic Modeling
74. Copula Function
75. Cyberinfrastructure for Water Science
76. Decision Support System
77. Downscaling Methods
78. Drone Technology in River/Lake/Estuarine
79. Dynamic System Modeling
80. Ecohydrology Nature Based Solutions Quantification of Processes
81. Ecohydraulic Modeling and Experimentation
82. Economic Impacts and Models
83. Emergency Management
84. Geostatistics and Geospatial Frameworks
85. Hydrological modeling in a "Big Data" era
86. Hydrologic Similarity Indices
87. Hydrologic Model Training and Validation
88. Hydropower/Renewable Energy Models
89. Hydrothermal Systems Generation
90. Multi-Variate Linear Moments
91. Online Education in Hydroinformatics
92. Radar Application
93. Real-time Sensor Management
94. Remote Sensing
95. Sediment Transport Dynamics Advanced Models
96. Smart Cities and Hydroinformatic Data
97. Social Data Mining in Hydrosystems
98. Spectrum Water Technology
99. Vegetal Drag Modelling
100. Water Data Standards
101. Water Performance Metrics
102. Wavelet Transforms
Saeid Eslamian received his PhD in Civil and Environmental Engineering from University of New South Wales, Australia in 1998. Saeid was Visiting Professor in Princeton University and ETH Zurich in 2005 and 2008 respectively. He has contributed to more than 1K publications in journals, conferences, books. Eslamian has been appointed as 2-Percent Top Researcher by Stanford University for several years. Currently, he is full professor of Hydrology and Water Resources and Director of Excellence Center in Risk Management and Natural Hazards. Isfahan University of Technology, His scientific interests are Floods, Droughts, Water Reuse, Climate Change Adaptation, Sustainability and Resilience
Faezeh Eslamian is a PhD holder of bioresource engineering from McGill University. Her research focuses on the development of a novel lime-based product to mitigate phosphorus loss from agricultural fields. Faezeh completed her bachelors and masters degrees in civil and environmental engineering from Isfahan University of Technology, Iran, where she evaluated natural and low-cost absorb bents for the removal of pollutants such as textile dyes and heavy metals. Furthermore, she has conducted research on the worldwide water quality standards and wastewater reuse guidelines. Faezeh is an experienced multidisciplinary researcher with research interests in soil and water quality, environmental remediation, water reuse, and drought management.
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