Ramos O, Altshuler E, Måløy K J
Department of Physics, University of Oslo, P.O.B. 1048, Blindern N-0316, Oslo, Norway.
Phys Rev Lett. 2009 Feb 20;102(7):078701. doi: 10.1103/PhysRevLett.102.078701. Epub 2009 Feb 19.
It is a common belief that power-law distributed avalanches are inherently unpredictable. This idea affects phenomena as diverse as evolution, earthquakes, superconducting vortices, stock markets, etc., from atomic to social scales. It mainly comes from the concept of "self-organized criticality" (SOC), where criticality is interpreted in the way that, at any moment, any small avalanche can eventually cascade into a large event. Nevertheless, this work demonstrates experimentally the possibility of avalanche prediction in the classical paradigm of SOC: a pile of grains. By knowing the position of every grain in a two-dimensional pile, avalanches of moving grains follow a distinct power-law distribution. Large avalanches, although uncorrelated, are on average preceded by continuous, detectable variations in the internal structure of the pile that are monitored in order to achieve prediction.
人们普遍认为,幂律分布的雪崩本质上是不可预测的。这种观点影响了从原子尺度到社会尺度的各种现象,如进化、地震、超导涡旋、股票市场等。它主要源于“自组织临界性”(SOC)的概念,在这种概念中,临界性被解释为在任何时刻,任何小的雪崩最终都可能级联成一个大事件。然而,这项工作通过实验证明了在SOC的经典范式——一堆沙粒中进行雪崩预测的可能性。通过了解二维沙堆中每一粒沙子的位置,移动沙粒的雪崩遵循明显的幂律分布。大的雪崩虽然不相关,但平均而言,在其发生之前,沙堆内部结构会有连续的、可检测到的变化,通过监测这些变化来实现预测。