Handbook of Applied Hydrology, Second Edition – Ebook PDF Instant Delivery – ISBN(s): 9780071835091,0071835091
Product details:
- ISBN-10 : 0071835091
- ISBN-13 : 978-0071835091
- Author: Vijay P. Singh
This industry-standard resource has been completely revised for the first time since Ven Te Chow’s classic edition was published over 50 years ago. Compiled by a colleague of the late Dr. Chow and featuring chapter contributions from a “who’s who” of international hydrology experts, Handbook of Applied Hydrology, Second Edition, covers scientific and engineering fundamentals and presents all-new methods, processes, and technologies. Complete details are provided for the full range of ecosystems and models. Advanced chapters look to the future of hydrology, including climate change impacts, extraterrestrial water, social hydrology, and water security.
Table of contents:
Chapter 1. The Hydrologic Cycle
Chapter 2. Watersheds, River Basins, and Land Use
Chapter 3. Water Balance
Chapter 4. Hydrometeors and Quantitative Precipitation Estimation
Chapter 5. Streamflow Data
Chapter 6. Streamflow Ratings
Chapter 7. Hydrologic Information Systems
Chapter 8. Remote Sensing Techniques and Data Assimilation for Hydrologic Modeling
Chapter 9. Geographic Information Systems
Chapter 10. Design of Hydrologic Networks
Chapter 11. Artificial Neural Networks
Chapter 12. Fuzzy Logic
Chapter 13. Evolutionary Computing: Genetic Algorithms
Chapter 14. Relevance Vector Machine
Chapter 15. Harmonic Analysis and Wavelets
Chapter 16. Outlier Analysis and Infilling of Missing Records in Hydrologic Data
Chapter 17. Linear and Nonlinear Regression
Chapter 18. Time Series Analysis and Models
Chapter 19. Statistical Detection of Nonstationarity: Issues and Needs
Chapter 20. Spatial Analysis and Geostatistical Methods
Chapter 21. Frequency Distributions
Chapter 22. Calibration, Parameter Estimation, Uncertainty, Data Assimilation, Sensitivity Analysis, and Validation
Chapter 23. Bayesian Methods
Chapter 24. Optimization Approaches for Integrated Water Resources Management
Chapter 25. Nonparametric Methods
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