Reduction And Predictability Of Natural Disasters
Within the past five years, the international community has recognized that it may be possible, through programs of systematic study, to devise means to reduce and mitigate the occurrence of a variety of devastating natural hazards. Among these disasters are earthquakes, volcanic eruptions, floods, and landslides. The importance of these studies is underscored by the fact that within fifty years, more than a third of the world's population will live in seismically and volcanically active zones. The International Council of Scientific Unions, together with UNESCO and the World Bank, have therefore endorsed the 1990s as the International Decade of Natural Disaster Reduction (IDNDR), and are planning a variety of programs to address problems related to the predictability and mitigation of these disasters, particularly in third-world countries. Parallel programs have begun in a number of U.S. agencies.One of the most promising scientific avenues is to develop the capability to simulate these physical processes in the computer, Many of the recent models are nonlinear in significant ways, for example cellular automata or fractal growth models. They can thus be analyzed in a framework familiar to workers in complex system theory. It is often the case that the occurrence frequency of disaster events generated by the models follow power laws, perhaps with cutoffs. Thus there is a spectrum of event sizes, from small to large, that are presumably related by the nonlinear dynamics of the process. Simulation techniques can be used to study the fundamental physics of the process. Simulation techniques can be used to study the fundamental physics of the process, and most importantly, to develop means to predict the patterns of occurrence of large events in the models and to identify precursory phenomena.
- Hardback | 320 pages
- 171.45 x 241.3 x 19.05mm | 589.67g
- 01 Mar 1996
- Taylor & Francis Inc
- Westview Press Inc
- United States
Table of contents
Societal Effects of Natural Disasters; Scaling Laws for Natural Disaster Fatalities (S.P. Nishenko and C.C. Barton); Global Fatalities from Earthquakes in the Past 2,000 Years: Prognosis for the Next 30 (R. Bilham); Floods and Landslides; Diffusion-Limited Aggregation as a Paradigm for Modeling Dynamical Processes (L.M. Sander); A Dynamical Systems Approach to Flood-Frequency Forecasting (D. L. Turcotte and K. Haselton); Multiplicative Cascades and Spatial Variability in Rainfall, River Networks, and Floods (V.K. Gupta and E. Waymire); Inference for a Channel Network Model and Implications for Flood Scaling; (B.M. Troutman); Thickness Statistics of Sedimentary Layers Generated by Gravity-Driven Flows (D.H. Rothman and J.P. Grotzinger); Earthquakes; Thoughts on Modeling and Prediction of Earthquakes (S.G. Eubank); Complexity and Earthquake Forecasting (C.G. Sammis, D. Sornette, and H. Saleur); On the Scaling of Average Slip with Rupture Dimensions of Earthquakes (S. Gross); Rupture Characteristics, Recurrence, and Predictability in a Slider-Block Model for Earthquakes (J.B. Rundle, W. Klein, and S. Gross); A Comparison of Simple Earthquake Models (A.V. Herz); Spinodals and Scaling in Slider-Block Models (W. Klein, C. Ferguson, and J.B. Rundle); A hierarchical Model for Precursory Seismic Activation (W.I. Newman, D.L. Turcotte, and A. Gabrielov); Observation of Boltzmann Fluctuations in Stochastic, Massless Slider-Block Simulations (J.B. Rundle, W. Klein, and D. Turcotte); Prediction Studies of Earthquake Fault Models and Applications to Seismic Catalogs (J. Carlson).