Intelligent Prediction Theory and Application of Landslide Catastrophe

Author: Zhang Yongxing, Wen Haijia, Ou Min
Publisher:
Publish Date: 2005-06-01
Features: This book is based on significant research achievements from the national "Five-Year Plan" key research project "Key Technology Research and Demonstration for Monitoring, Early Warning, and Decision Support Systems for Reservoir Geological Hazards." The book primarily employs computational intelligence theory and its coupled methods, combined with geographic information system (GIS) technology, to research and establish an intelligent integrated system for landslide prediction based on GIS. It also includes case analyses of demonstration sites from the "Five-Year Plan" project, providing a systematic discussion of computational intelligence prediction methods for landslide hazards from both theoretical and practical application perspectives. This book summarizes cutting-edge research findings in the field of landslide hazard prediction and serves as a reference for researchers in geotechnical engineering, geological engineering, and related fields. It is also suitable as a teaching reference for graduate students in civil engineering, hydraulic engineering, mining engineering, petroleum engineering, transportation engineering, and earth science. Additionally, it holds high reference value for faculty members in universities, researchers in research institutions, and technical personnel in engineering departments.