Multi-scale Spectral Analysis in Hydrology: From Theory to Practice

This book discusses the application of multiscale time-frequency characterization tool for the spectral analysis of hydrological time series, including Wavelet transforms, Hilbert Huang Transform, and their extensions, to improve simulation and forecasting accuracy.

Format: Hardback
Length: 208 pages
Publication date: 01 March 2021
Publisher: Taylor & Francis Ltd

Accurate prediction of hydrological variables is of paramount importance for effective water resources planning and management. A comprehensive understanding of the unique characteristics of hydrological time series can significantly enhance the simulation and forecasting accuracy of these variables. This book offers a comprehensive and practical guide to multiscale time-frequency characterization, a powerful tool for spectral analysis of hydrological time series. Through a diverse range of illustrative case studies, including Wavelet transforms, Hilbert Huang Transform, and their extensions, it presents comprehensive spectral analysis methods tailored for hydrological applications.

The significance of accurate hydrological predictions cannot be overstated, as they play a crucial role in ensuring sustainable water resource management. By gaining a deeper understanding of the time series characteristics, researchers and practitioners can develop more robust and reliable models for forecasting hydrological variables. This book serves as a valuable resource for those seeking to enhance their knowledge and expertise in this field.

The multiscale time-frequency characterization tool presented in this book offers a comprehensive approach to analyzing hydrological time series. It encompasses a range of techniques, such as Wavelet transforms, Hilbert Huang Transform, and their extensions, which are widely used in spectral analysis. These methods provide valuable insights into the complex dynamics and patterns of hydrological systems, enabling researchers to identify key features, trends, and patterns that can inform water resources planning and management decisions.

One of the key advantages of multiscale time-frequency characterization is its ability to handle non-stationary and complex hydrological time series. Traditional time series analysis methods may struggle with such data, as they assume a stationary and Gaussian distribution. However, multiscale time-frequency characterization techniques can effectively capture the non-stationary nature of hydrological variables, including rainfall, river flow, and groundwater levels, allowing for more accurate predictions and better management of water resources.

The book is organized into several chapters, each dedicated to a specific aspect of multiscale time-frequency characterization. The first chapter provides an introduction to the topic, covering the theoretical foundations and practical applications of multiscale time-frequency analysis. It also highlights the importance of hydrological variables in water resources planning and management.

The subsequent chapters delve into the theoretical foundations and computational techniques of multiscale time-frequency characterization. The authors provide detailed explanations of the various time-frequency analysis methods, including Wavelet transforms, Hilbert Huang Transform, and their extensions, and illustrate their applications through illustrative case studies. These case studies showcase the versatility and effectiveness of multiscale time-frequency characterization in analyzing hydrological time series from different regions and applications.

In addition to the theoretical aspects, the book also emphasizes the importance of data preprocessing and quality control in hydrological time series analysis. The authors discuss the techniques and methods used to clean and preprocess hydrological data, ensuring that it is accurate, reliable, and suitable for spectral analysis. They also highlight the significance of selecting appropriate statistical models and validation techniques to evaluate the performance of hydrological predictions.

Throughout the book, the authors emphasize the practical implications of multiscale time-frequency characterization in hydrological applications. They discuss the use of these techniques in water resources planning, flood forecasting, drought monitoring, and other hydrological domains. The case studies presented in each chapter provide real-world examples of how multiscale time-frequency characterization has been applied to address water-related challenges and improve water management practices.

In conclusion, this book offers a comprehensive and practical guide to multiscale time-frequency characterization, a powerful tool for spectral analysis of hydrological time series. By presenting a detailed description and application of this tool, the authors have contributed to the advancement of hydrological science and its practical applications. The book is an invaluable resource for researchers, practitioners, and policymakers interested in improving the accuracy and sustainability of water resources planning and management.

Weight: 492g
Dimension: 159 x 241 x 21 (mm)
ISBN-13: 9780367622015