The Theory and Digital Models of Hydrological Forecasting

Author: Cheng Genwei, Shu Dongcai
Publisher:
Publish Date: 2006-08-01
Features: Hydrological forecasting is the application of hydrological principles in basin water resource management, and mathematical models are the most important methods for hydrological forecasting. This book comprehensively introduces key issues in river basin and channel runoff prediction, combining hydrological observation and experimental results from southwestern China. It particularly discusses forest basin hydrological models, karst area hydrological model methods, and channel flood routing models, while also elaborating on the design philosophy and modeling techniques of distributed hydrological mathematical models. Using dynamic system theory, the book studies fundamental issues such as model stability conditions and parameter identifiability, and analyzes factors that determine forecasting accuracy. The book focuses on introducing real-time calibration methods for hydrological mathematical models, explores theoretical and practical approaches to intelligent hydrological modeling, and proposes an artificial intelligence forecasting model that makes decisions based on expert knowledge. Its purpose is to summarize recent achievements in hydrological forecasting theory and technology in China, providing reference tools for relevant scientists, engineers, and scholars. This book can serve as a textbook for engineering hydrology, basin hydrological modeling, and operational forecasting, as well as a supplementary reference for graduate studies.