Earthquake Prediction and Forecasting

2004 ◽  
pp. 335-348 ◽  
Author(s):  
David D. Jackson
Keyword(s):  
Earthquake Prediction ◽  
Prediction And Forecasting

scholarly journals Thermal Infrared Anomalies of Several Strong Earthquakes

2013 ◽  
Vol 2013 ◽  
pp. 1-11
Author(s):  
Congxin Wei ◽  
Yuansheng Zhang ◽  
Xiao Guo ◽  
Shaoxing Hui ◽  
Manzhong Qin ◽  
...  
Keyword(s):  
Thermal Radiation ◽  
Earthquake Prediction ◽  
Thermal Infrared ◽  
Geological Structure ◽  
Earthquake Precursor ◽  
Strong Earthquakes ◽  
Time Frequency ◽  
Before And After ◽  
Prediction And Forecasting ◽  
Thermal Infrared Anomalies

In the history of earthquake thermal infrared research, it is undeniable that before and after strong earthquakes there are significant thermal infrared anomalies which have been interpreted as preseismic precursor in earthquake prediction and forecasting. In this paper, we studied the characteristics of thermal radiation observed before and after the 8 great earthquakes with magnitude up toMs7.0 by using the satellite infrared remote sensing information. We used new types of data and method to extract the useful anomaly information. Based on the analyses of 8 earthquakes, we got the results as follows. (1) There are significant thermal radiation anomalies before and after earthquakes for all cases. The overall performance of anomalies includes two main stages: expanding first and narrowing later. We easily extracted and identified such seismic anomalies by method of “time-frequency relative power spectrum.” (2) There exist evident and different characteristic periods and magnitudes of thermal abnormal radiation for each case. (3) Thermal radiation anomalies are closely related to the geological structure. (4) Thermal radiation has obvious characteristics in abnormal duration, range, and morphology. In summary, we should be sure that earthquake thermal infrared anomalies as useful earthquake precursor can be used in earthquake prediction and forecasting.

Conceptualizing the impact of machines, science and technologies on the sociocultural environment that shapes the teacher's paradigm of values and views of life

2020 ◽  
Vol 16 (11) ◽  
pp. 2161-2179
Author(s):  
A.B. Lanchakov ◽  
S.A. Filin ◽  
A.Zh. Yakushev ◽  
E.E. Zhusipova
Keyword(s):  
Social Relationships ◽  
Cognitive Activity ◽  
Environmentally Friendly ◽  
Professional Activity ◽  
Sociocultural Environment ◽  
Sociocultural Development ◽  
Prediction And Forecasting ◽  
The Impact ◽  
Positive Motivation ◽  
The Way

Subject. In this article we analyze how machinery, science and technologies influence the sociocultural environment that engenders the teacher's paradigm of values and views of life. Objectives. We herein outline guidance to predict the way teachers' views of life might evolve in corresponding sociocultural periods more precisely. The article analyzes making more precise forecasts of oncoming economic crises, which will cause some changes in teachers' mindset. Methods. The study involves learning methodologies, methods of prediction and forecasting, including foresight. Results. We propose and analyze the theory holding that the human civilization passes cycles during its sociocultural development in terms of a new set of values in contemporary teachers' views of life. The article sets forth our recommendations on innovation-driven views of life, mindset and thinking and, consequently, the development of intellectual qualities, knowledge, skills, cognitive activity, positive motivation to the professional activity of a teacher and alumni during more elevated periods, which requires to more precisely predict the way teachers’ mindset may change in certain sociocultural periods. Conclusions and Relevance. As the human civilization enters the innovation-driven sociocultural period, teachers and social relationships should demonstrate more innovative and environmentally-friendly attitudes and views of life.

Analysis of Radon Gas Variation as a Precursor of Earthquake Prediction Using RAD7.

2016 ◽  
Vol 4 (7) ◽  
pp. 518-524
Author(s):  
Mily Jashank ◽  
◽  
JayalakshmiM. Nair ◽  
RajendraS. Khairnar ◽  
◽  
...  
Keyword(s):  
Earthquake Prediction ◽  
Radon Gas
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