Multi-scale Spectral Analysis in Hydrology From Theory to Practice
Auteurs : S Adarsh, Janga Reddy M
Accurate prediction of hydrological variables is essential for efficient water resources planning and management. Proper understanding of the characteristics of the time series may help in improving the simulation and forecasting accuracy of hydrological variables. This book presents a detailed description and application of multiscale time-frequency characterization tool for the spectral analysis of hydrological time series. It presents spectral analysis methods for hydrological applications through a wide variety of illustrative case studies including Wavelet transforms, Hilbert Huang Transform and their extensions.
Chapter 1 Introduction Chapter 2 The Theory of Advanced Spectral Analysis Methods Chapter 3 Wavelet Transform Applications for Hydrological Characterization Chapter 4 Hilbert Huang Transform Applications for Characterization of Rainfall Chapter 5 Multiscale Characterization of Streamflow and Sediment Load Using HHT Chapter 6 MEMD- based Hybrid Schemes for Hydrological Modeling Chapter 7 Summary and Recommendations
Dr. Adarsh S, currently working as Associate professor with the Department of Civil Engg., TKM College of Engineering Kollam, Kerala India, is a leading researcher in statistical hydrology. He completed his Ph.D. from the prestigious Indian Institute of Technology Bombay (IITBombay) India in 2018 by receiving the Excellence in Research Award. His specific research interests include stochastic hydrology, application of Artificial Intelligence Techniques in hydrology, hydroclimatology, water resources systems, risk/uncertainty analysis in hydrology. He published 51 papers in international journals of high reputation, two book chapters, one book and 50 papers in national and international conferences (Citations: 290; h-Index : 9; i-10 index: 9). He supervised 7 Masters thesis, 36 UG projects, successfully completed 3 minor research projects and supervising two doctoral scholars. Dr. Adarsh is currently an editorial board member of Springer Nature Applied Sciences and an active reviewer of many prestigious journals (published by Elsevier, ASCE, IEEE, Wiley, Springer, Taylor & Francis etc.). He received the outstanding reviewer recognition by ASCE in 2019 and the Sivapalan Young Scientists Travel Award (SYSTA) in 2020-21. He is a member of International Commission on Statistical Hydrology (ICSH-IAHS), Institution of Engineers (India), Indian Society for Technical Education, European Water Resources Association, Indian Meteorological Society, Indian Water Works Association (IWWA) Indian Association of Hydrologists etc.
Dr. M. Janga Reddy, currently working as Associate Professor with the Department of Civil Engineering, Indian Institute of Technology, Bombay. He obtained Ph.D (Engg) from Indian Institute of Science, Bangalore in 2007. His research interests include Hydrology and Water Resources, Hydrological Modeling, Reservoir Systems , Irrigation, Hydropower, Flood control planning; Water supply systems- pipe networks,
Date de parution : 03-2021
15.6x23.4 cm
Thèmes de Multi-scale Spectral Analysis in Hydrology :
Mots-clés :
TSS Concentration; Wavelet Transforms; EMD; Rainfall; WT; Hilbert Huang Transform; Wavelet Transform; Streamflow; Meteorological Subdivision; Characterization; Suspended Sediment Concentration Data; Fourier; Climate Variables; TSS; Hydrological time series; HHT; Spectral analysis; MT; Water resources planning; MLR Method; Multi-time scale time-frequency characterization tool; Ann Model; IDF Relationship; Cross Wavelet Spectrum; PAC Plot; Monsoon Rainfall; IMF Component; Rainfall Time Series; Validation Datasets; Scatter Plots; Cross Wavelet Power; SST Anomaly; Inflow Time Series; WTC; Sen’s Slope Estimator; Energy Density