In this paper the geological structure and earthquake activity nearby Kunming Basin, Yunnan, China, have been studied. Different ground motion attenuation models used in Japan and in Yunnan, China, have been reviewed, and quantitative comparisons between the models have been made. The zonation of peak horizontal acceleration corresponding to a seldom happened earthquake and the zonation of the ...

Neural networks are investigated for predicting the magnitude of the largest seismic event in the following month based on the analysis of eight mathematically computed parameters known as seismicity indicators. The indicators are selected based on the Gutenberg-Richter and characteristic earthquake magnitude distribution and also on the conclusions drawn by recent earthquake prediction studies...

It is well established that earthquakes are correlated over distances greatly exceeding their source dimension. Recent studies hypothesize for important associated phenomenon: The area over which earthquake activity is correlated varies in time and might grow prior to a large earthquake. This hypothesis is supported by a wealth of observations, computer simulation, and has theoretical interpret...

This article explores the problem of short-term earthquake prediction based on spatio-temporal variations of seismicity. Previous approaches to this problem have used precursory seismicity patterns that precede large earthquakes with "intermediate" lead times of years. Examples include increases of earthquake correlation range and increases of seismic activity. Here, we look for a renormalizati...

Accurate prediction of the intensity and variability of strong ground motions for future large earthquakes depends on our ability to simulate realistic earthquake source models. While there has been considerable progress in characterizing the complexity of earthquake ruptures, recent devastating earthquakes have exhibited rather unexpected behavior. Moderate-size events occurred with surprising...

Despite its extreme importance and years of effort, practical short-term earthquake prediction still remains to be achieved in future. However, earthquakerelated electromagnetic phenomena are recently considered as a promising candidate for short-term earthquake prediction. There have been accumulated a lot of evidences of precursory signatures in a wide frequency range (DC-VHF). The ULF geomag...

Earthquake prediction research has searched for both informational phenomena, those that provide information about earthquake hazards useful to the public, and causal phenomena, causally related to the physical processes governing failure on a fault, to improve our understanding of those processes. Neither informational nor causal phenomena are a subset of the other. I propose a classification ...

Earthquake prediction has long been the holy grail for seismologists around the world. The various factors affecting earthquakes are far from being understood, and there exist no known correlations between largescale earthquake activity and periodic geological events. Nonetheless, we hope that machine learning will give us greater insight into the patterns underlying earthquake activity, even i...

An earthquake is the perceptible shaking of the surface of the Earth occurs without prior warning to the society. The occurrence of an earthquake in a populated area may cause numerous casualties and injuries as well as extensive damage to property [4-5]. At present there is no tool available to an Engineer or Expert to assess the quantum of an earthquake disaster of an area with degree of cert...