Recent Advances in Modeling Landslides and Debris Flows (Springer Series in Geomechanics and Geoengineering) - Hardcover

Hardcover

ISBN 10: 3319110527 ISBN 13: 9783319110523

Verlag: Springer, 2014

Inhaltsangabe

<P>LANDSLIDES AND DEBRIS FLOWS BELONG TO THE MOST DANGEROUS NATURAL HAZARDS IN MANY PARTS OF THE WORLD. DESPITE INTENSIVE RESEARCH, THESE EVENTS CONTINUE TO RESULT IN HUMAN SUFFERING, PROPERTY LOSSES, AND ENVIRONMENTAL DEGRADATION EVERY YEAR. BETTER UNDERSTANDING OF THE MECHANISMS AND PROCESSES OF LANDSLIDES AND DEBRIS FLOWS WILL HELP MAKE RELIABLE PREDICTIONS, DEVELOP MITIGATION STRATEGIES AND REDUCE VULNERABILITY OF INFRASTRUCTURE.</P><P>THIS BOOK PRESENTS CONTRIBUTIONS TO THE WORKSHOP ON RECENT DEVELOPMENTS IN THE ANALYSIS, MONITORING AND FORECAST OF LANDSLIDES AND DEBRIS FLOW, IN VIENNA, AUSTRIA, SEPTEMBER 9, 2013. THE CONTRIBUTIONS COVER A BROAD SPECTRUM OF TOPICS FROM MATERIAL BEHAVIOR, PHYSICAL MODELLING OVER NUMERICAL SIMULATION TO APPLICATIONS AND CASE STUDIES. THE WORKSHOP IS A JOINT EVENT OF THREE RESEARCH PROJECTS FUNDED BY THE EUROPEAN COMMISSION WITHIN THE 7TH FRAMEWORK PROGRAM: MUMOLADE (MULTISCALE MODELLING OF LANDSLIDES AND DEBRIS FLOWS, WWW.MUMOLADE.COM), REVENUES (NUMERICAL ANALYSIS OF SLOPES WITH VEGETATIONS, HTTP://WWW.REVENUES-EU.COM) AND HYDRODRIL (INTEGRATED RISK ASSESSMENT OF HYDROLOGICALLY-DRIVEN LANDSLIDES, WWW.BOKU.AC.AT/IGT/).</P><P> </P><P>

Über diesen Titel

Reseña del editor:

Landslides and debris flows belong to the most dangerous natural hazards in many parts of the world. Despite intensive research, these events continue to result in human suffering, property losses, and environmental degradation every year. Better understanding of the mechanisms and processes of landslides and debris flows will help make reliable predictions, develop mitigation strategies and reduce vulnerability of infrastructure.

This book presents contributions to the workshop on Recent Developments in the Analysis, Monitoring and Forecast of Landslides and Debris Flow, in Vienna, Austria, September 9, 2013. The contributions cover a broad spectrum of topics from material behavior, physical modelling over numerical simulation to applications and case studies. The workshop is a joint event of three research projects funded by the European Commission within the 7th Framework Program: MUMOLADE (Multiscale modelling of landslides and debris flows, www.mumolade.com), REVENUES (Numerical Analysis of Slopes with Vegetations, http://www.revenues-eu.com) and HYDRODRIL (Integrated Risk Assessment of Hydrologically-Driven Landslides, www.boku.ac.at/igt/).

 

Reseña del editor:

This book consists of 20 chapters in which the authors deal with different theoretical and practical aspects of new trends in Collective Computational Intelligence techniques. Computational Collective Intelligence methods and algorithms are one the current trending research topics from areas related to Artificial Intelligence, Soft Computing or Data Mining among others. Computational Collective Intelligence is a rapidly growing field that is most often understood as an AI sub-field dealing with soft computing methods which enable making group decisions and processing knowledge among autonomous units acting in distributed environments. Web-based Systems, Social Networks, and Multi-Agent Systems very often need these tools for working out consistent knowledge states, resolving conflicts and making decisions. The chapters included in this volume cover a selection of topics and new trends in several domains related to Collective Computational Intelligence: Language and Knowledge Processing, Data Mining Methods and Applications, Computer Vision, and Intelligent Computational Methods. This book will be useful for graduate and PhD students in computer science as well as for mature academics, researchers and practitioners interested in the methods and applications of collective computational intelligence in order to create new intelligent systems.

Über diese Auflage

• Verlag: Springer
• Erscheinungsdatum: 2014
• ISBN 10: 3319110527
• ISBN 13: 9783319110523
• Einband: Tapa dura
• Anzahl der Seiten: 336
• Herausgeber: Wu Wei