Advances in Streamflow Forecasting: From Traditional to Modern Approaches

Advancements in Streamflow Forecasting: From Traditional to Modern Approaches discusses the three major data-driven approaches to streamflow forecasting: traditional statistical and stochastic time-series modeling, stand-alone data-driven approaches using artificial intelligence techniques, and modern hybridized approaches combining data-driven models with preprocessing methods. It provides a comprehensive overview of the field, discusses theoretical methodologies, and showcases case studies from around the world. The book aims to bridge the gap between theory and practice and is designed to be accessible to hydrologists, researchers, and practitioners interested in improving streamflow forecasting accuracy and reducing forecast uncertainties.

Format: Paperback / softback
Length: 404 pages
Publication date: 25 June 2021
Publisher: Elsevier Science Publishing Co Inc

Advances in Streamflow Forecasting: From Traditional to Modern Approaches delves into the three primary data-driven approaches to streamflow forecasting, encompassing the traditional statistical and stochastic time-series modeling approach, the standalone data-driven approach utilizing artificial intelligence techniques, and the modern hybridized approach that combines data-driven models with preprocessing methods to enhance forecast accuracy and mitigate forecast uncertainties. This comprehensive book begins by providing a foundational background, overview, and advancements in streamflow forecasting. The overview highlights the remarkable progress made in the field of streamflow forecasting throughout the decades. Subsequently, chapters delve into the theoretical methodologies employed for streamflow forecasting, along with case studies from diverse regions worldwide. Each chapter presents a step-by-step flowchart outlining the methodology followed in applying the data-driven approach to streamflow forecasting. This book addresses the challenges of forecasting streamflows by bridging the gap between theory and practice through a comprehensive amalgamation of theoretical descriptions of data-driven techniques and systematic demonstrations of the procedures employed in their application. The language of the book is kept straightforward to facilitate easy comprehension for readers, enabling them to grasp various techniques and replicate them in other areas of their interest. This book holds immense significance for hydrologists, as it empowers them to optimize water resource systems and mitigate the devastating impact of natural disasters like floods and droughts through long-term planning, including structural and nonstructural measures.

Weight: 660g
Dimension: 153 x 228 x 30 (mm)
ISBN-13: 9780128206737