We introduce here the Earthquake Network project which implements a world-wide smartphone-based sensor network for the detection of earthquakes. Thanks to the accelerometric sensor, smartphones possibly detect the waves of a quake and report the event to a cloud computing infrastructure. In this work, we propose a solution to the detection problem based on statistical modelling the arrival time...

Synopsis This study introduces a new approach (based on the Continuous Wavelet Transform Modulus Maxima method) to describe qualitatively and quantitatively the complex temporal patterns of seismicity, their multifractal and clustering properties in particular. Firstly, we analyse the temporal characteristics of intermediate depth seismic activity in the Vrancea region, Romania. The second case...

Descriptive observational studies showed upward jumps in secular European perinatal mortality trends after Chernobyl. The question arises whether the Fukushima nuclear power plant accident entailed similar phenomena in Japan. For 47 prefectures representing 15.2 million births from 2001 to 2014, the Japanese government provides monthly statistics on 69,171 cases of perinatal death of the fetus ...

This paper introduces the application of seismic wave method in earthquake prediction and early estimation. The advantages of the seismic wave method over the traditional earthquake prediction method are demonstrated. An example is presented in this study to show the accuracy and efficiency of using the seismic wave method in predicting a medium-sized earthquake swarm occurred in Wencheng, Zhej...

A comparative methodology between advanced statistical tools and physical-based methods is carried out to ensure their reliability objectivity for the evaluation of co-seismic landslide hazard maps. To do this, an inventory landslides induced by 2011 Lorca earthquake used highlight usefulness these improve earthquake-induced analyses. Various models, such as logistic regression, random forest, ...