Modeling the Occurrences of Earthquake Casualties

Author(s):  
Zhipeng Liu ◽  
Lulu Zhang
2005 ◽  
Vol 34 (3) ◽  
pp. 353-374 ◽  
Author(s):  
Jos� Badal ◽  
Miguel V�zquez-prada ◽  
�lvaro Gonz�lez

Author(s):  
Rienna Oktarina ◽  
Senator Nur Bahagia ◽  
Lucia Diawati ◽  
Krisha S. Pribadi

2014 ◽  
Vol 543-547 ◽  
pp. 2084-2088 ◽  
Author(s):  
Run Biao Bao ◽  
Man Zhang

To reduce the prediction error rate of earthquake casualties, the paper proposed a prediction model with two steps: (1) screening of the earthquake casualties correlation factors; (2) improving the predictive veracity of general BP(Back Propagation) neural network model.By the analysis of 9 kinds of correlation factors, the paper established the MIV(Mean Impact Value) model based on BP neural network to screen the final correlation factors, and the paper got 6 main correlation factors according to the size of output weights of the factors. Finally, the paper verified the accuracy and practicability of the model through the validation of the model and the solving of prediction error of relevant factors hasn't been selected.


2018 ◽  
Author(s):  
Yue Zhang ◽  
Qigen Lin ◽  
Yanyi Liu ◽  
Ying Wang

Abstract. In order to make a scientific emergency strategic decision after an earthquake, casualties need to be estimated rapidly. Asia is the most earthquake-prone continent in the world. In this paper, by spatial statistic and regressive analysis of historical Asian earthquake data from 1990 to 2012, vulnerability curves portraying the empirical relationship between the magnitude of an earthquake event and the casualty rate caused by it were created for countries of six-groups and the Quick Assessment Model of Earthquake Casualties for Asia (QAMECA) was developed. The casualty rate was defined as the ratio of the sum of injuries and deaths in an earthquake to the number of people living in the earthquake-affected region. Thirty-one earthquake events from 2013 to 2016 were used to validate this model, and the validation results were good with actual casualties of twenty-one were within the range estimated by the model and the biases of eight out of ten were less than one hundred percent. The two input parameters of QAMECA were magnitude and location of epicenter of an earthquake and earthquake casualties can be estimated immediately after earthquake has occurred. As a consequence, QAMECA can be used to estimate earthquake casualties for Asian countries and aid decision making in international emergency relief in the future.


2013 ◽  
Vol 69 (3) ◽  
pp. 1577-1595 ◽  
Author(s):  
Tienan Feng ◽  
Zhonghua Hong ◽  
Hengjing Wu ◽  
Qiushi Fu ◽  
Chaoxin Wang ◽  
...  

2005 ◽  
Vol 20 (2) ◽  
pp. 122-133 ◽  
Author(s):  
Itamar Ashkenazi ◽  
Boris Isakovich ◽  
Yoram Kluger ◽  
Ricardo Alfici ◽  
Boris Kessel ◽  
...  

AbstractEarthquakes continue to exact a heavy toll on life, injury, and loss of property. Survival of casualties extricated from under the rubble depends upon early medical interventions by emergency teams on site. The objective of this paper is to review the pertinent literature and to analyze the information as a practical guideline for the medical management of casualties accidentally buried alive.


2014 ◽  
Vol 72 (2) ◽  
pp. 1093-1110 ◽  
Author(s):  
S. Turkan ◽  
G. Özel

1982 ◽  
Vol 72 (3) ◽  
pp. 873-877
Author(s):  
Robert A. Ganse ◽  
John B. Nelson

abstract A quantitative file of earthquake casualties and damage has been assembled and is being maintained by World Data Center A. The file now existing is an expansion of a file originally created by the authors to produce the World Map of Significant Earthquakes 1900 to Present.


2009 ◽  
Vol 41 (3) ◽  
pp. 179-181 ◽  
Author(s):  
Zhongjun Li ◽  
Weidong Wang ◽  
Te Chen

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