Hydrological and Climatic Forecasting: Basic Theories and Application Technologies (Series of Techniques for Large and Medium-sized Water Conservancy and Hydropower Engineering)

Author: Huang Zhongshu, Jin Xingping (Editor-in-Chief)
Publisher:
Publish Date: 2005-03-01
Features: This book is a systematic summary of the operational work and research achievements in long-term hydro-meteorological forecasting (hydro-climatic prediction) in the Yangtze River Basin over the past 40 years. It is a marginal discipline and applied technology that has gradually developed on the basis of long-term weather forecasting (short-term climate prediction), combining hydrology and meteorology as well as short-term, medium-term, and long-term forecasting. Over the years, it has played an important role in flood control and drought relief, the construction of large and medium-sized water conservancy and hydropower projects, reservoir forecasting and dispatching, and the rational development and utilization of water resources in the Yangtze River Basin. The central content of this book has two aspects: First, it elaborates on the fundamental theories of hydro-climatic prediction, mainly including theoretical issues such as climate system theory, the main factors of climate formation, the scales of climate change, and the East Asian monsoon. Second, it covers the application techniques of hydro-climatic prediction, which include the basic characteristics and spatiotemporal distribution patterns of hydro-climatic conditions in the Yangtze River Basin, the physical factor analysis and forecasting application affecting the drought and flood climate of the basin, as well as the main methods of hydro-climatic prediction. Additionally, it provides an analysis and summary of the development of long-term forecasting both domestically and internationally, as well as the practice and insights of hydro-meteorological forecasting in the Yangtze River Basin. This book is available for reference for engineering technicians engaged in hydro-climatic prediction and for teaching use by faculty and students in relevant university disciplines.