Earthquakes :

详细信息    Earthquakes :

• 出版日期：2014.
• 出版者：Wiley,
• 页数：xviii, 283 p. :
• 出版地：Chichester, West Sussex :
• 第一责任说明：Yan Y. Kagan.
• 尺寸：26 cm.
• 分类号：a263
• ISBN：9781118637920(hdk.) :

MARC全文

02h0059194 20150901152539.0 150810s2014 enkab frb |001|||eng | 9781118637920(hdk.) : CNY1147.12 DLC eng DLC YDX ; BTCTA ; YDXCP ; UKMGB ; BDX ; CHVBK ; DEBBG ; YUS ; OCLCF ; GUA ; SOI ; CDX ; CNNGL pcc QE538.8 .K32 2014 551.2201/12 23 a263 aP315 v5 Kagan, Yan Y. Earthquakes : models, statistics, testable forecasts / Yan Y. Kagan. Chichester, West Sussex : Wiley, 2014. xviii, 283 p. : ill. (chiefly col.), col. maps ; 26 cm. Statistical physics of fracture and breakdown Includes bibliographical references and index. Motivation: earthquake science challenges -- Seismological background -- Stochastic processes and earthquake occurrence models -- Statistical distributions of earthquake numbers: consequence of branching process -- Earthquake size distribution -- Temporal earthquake distribution -- Earthquake location distribution -- Focal mechanism orientation and source complexity -- Global earthquake patterns -- Long- and short-term earthquake forecasting -- Testing long-term earthquake forecasts: likelihood methods and error diagrams -- Future prospects and problems. "The proposed book is the first comprehensive and methodologically rigorous analysis of earthquake occurrence. Models based on the theory of the stochastic multidimensional point processes are employed to approximate the earthquake occurrence pattern and evaluate its parameters. The Author shows that most of these parameters have universal values. These results help explain the classical earthquake distributions: Omori's law and the Gutenberg-Richter relation. The Author derives a new negative-binomial distribution for earthquake numbers, instead of the Poisson distribution, and then determines a fractal correlation dimension for spatial distributions of earthquake hypocenters. The book also investigates the disorientation of earthquake focal mechanisms and shows that it follows the rotational Cauchy distribution. These statistical and mathematical advances make it possible to produce quantitative forecasts of earthquake occurrence. In these forecasts earthquake rate in time, space, and focal mechanism orientation is evaluated"-- ; "Our purpose is to analyze the causes of recent failures in earthquake forecasting, as well as the difficulties in earthquake investigation"-- cProvided by publisher. ; cProvided by publisher. Earthquake prediction. ; Earthquake hazard analysis. Statistical physics of fracture and breakdown. aCN b010001 010001 263 K11 gljx1504 h1 ; rCNY1147.12