Overview of remote sensing techniques in earthquake prediction

Abstract

Purpose -The matter of predicting disasters has always been one of the hottest and most challenging tasks in geology. Earthquakes are among the most destructive ones among all the natural hazards. Occurring often without any warning, they are the most feared and unpredictable natural phenomena. In recent years with the emergence of new remote sensing instruments and techniques, geologists interested themselves to define accurate and reliable procedures to foresee disasters using this new technology. This paper aims to examine some of the data that have been used so far in earthquake prediction as well as cheap, relevant remotely sensing and geographic information systems methods to acquire and manipulate data. Design/methodology/approach -Earthquakes are not the same in terms of origins, places (depth) and effects. So after having a brief look at the earthquakes, this paper examines the data that can be used for predicting earthquakes and reviews some of the remote sensing methods used to predict tectonic earthquakes. According to the types of measurements, remote sensing methods can be categorized in three main types; crust displacement, thermal and electromagnetic detecting techniques. Regarding the area's geological characteristics, satellites with optical and/or synthetic aperture radar sensors applications in prediction of large-scale natural disasters will be discussed. Findings -Presentation of the definitions and characteristics of earthquakes, categorized representation of the types of data used in this field as well as the types and names of the ground, aerial-and space-borne data providers are the most important products of this review paper. Originality/value -This method, if fully and systematically conducted, can be the cornerstone of an earth-predicting system.

Performance assessment of various seismic resistant systems for a multistory structure in different seismic zones of Bangladesh

“…Earthquakes are among the most damaging natural disasters, and the damages of civil engineering structures in previous tremors have underscored the demand for structural control schemes for seismic hazard qualification, especially in high seismic areas (Rahman et al , 2018; Alvan, 2011). To decrease its damage at a large scale, various research institutes worldwide have already conducted a study on the accurate prediction of seismically induced deformation, and high costs have been paid (Liu et al , 2018b; Liu et al , 2018a; Liu and Kuang, 2017; Kreslin and Fajfar, 2012; Kuang and Huang, 2011; Sucuoğlu and Günay, 2011; Brozovič and Dolšek, 2014; Poursha et al , 2009).…”