scholarly journals Earthquake risk assessment in NE India using deep learning and geospatial analysis

2021 ◽  
Vol 12 (3) ◽  
pp. 101110
Author(s):  
Ratiranjan Jena ◽  
Biswajeet Pradhan ◽  
Sambit Prasanajit Naik ◽  
Abdullah M. Alamri
2021 ◽  
Vol 242 ◽  
pp. 112532
Author(s):  
Zhenhua Huang ◽  
Liping Cai ◽  
Yashica Pandey ◽  
Yong Tao ◽  
William Telone

2011 ◽  
Vol 11 (2) ◽  
pp. 359-366 ◽  
Author(s):  
J. M. Gaspar-Escribano ◽  
T. Iturrioz

Abstract. Earthquake risk assessment is probably the most effective tool for reducing adverse earthquake effects and for developing pre- and post-event planning actions. The related risk information (data and results) is of interest for persons with different backgrounds and interests, including scientists, emergency planners, decision makers and other stakeholders. Hence, it is important to ensure that this information is properly transferred to all persons involved in seismic risk, considering the nature of the information and the particular circumstances of the source and of the receiver of the information. Some experience-based recommendations about the parameters and the graphical representations that can be used to portray earthquake risk information to different types of audiences are presented in this work.


2018 ◽  
Author(s):  
Febriana Kuscahyadi ◽  
Irwan Meilano ◽  
Nuraini Rahma Hanifa ◽  
Riantini Virtriana

2015 ◽  
Vol 9 (4) ◽  
pp. 719-733 ◽  
Author(s):  
Adolfo Preciado ◽  
Alejandro Ramirez-Gaytan ◽  
Ricardo A. Salido-Ruiz ◽  
Juan L. Caro-Becerra ◽  
Ramiro Lujan-Godinez

2012 ◽  
Vol 65 (3) ◽  
pp. 1559-1571 ◽  
Author(s):  
Wen-Ko Hsu ◽  
Wei-Ling Chiang ◽  
Qiang Xue ◽  
Dung-Mou Hung ◽  
Pei-Chun Huang ◽  
...  

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