title:
 
A Cloud-based China s Landslide Disaster Database (CCLDD) Development and Analysis
publication:
 
CCIS-13
part of series:
  Advances in Intelligent Systems Research
ISBN:
  978-90-78677-88-8
ISSN:
  1951-6851
DOI:
  doi:10.2991/ccis-13.2013.49 (how to use a DOI)
author(s):
 
Li Weiyue, Liu Chun, Wan Zhanming, Hong Yang, Sun Weiwei, Jian Zhiwei, Chen Sheng
corresponding author:
 
Li Weiyue
publication date:
 
October 2013
keywords:
 
landslide, database, cloud, cyber-infrastructure
abstract:
 
Landslide is among the most dangerous natural disasters globally, frequently causing a large number of casualties and economic damages. Especially in China, there suffers the largest of deaths in the world [1]. At present, landslide events have been reported increasingly from newspapers, magazines and many cyber-hazard databases. Cyber-hazard database concerned provides powerful functions, such as query, update, share, management, mass storage and so on. However, there is often a lack of specific spatiotemporal characteristics of landslide impacts or a failure to visualize complete statics of landslide records due to variable entry criteria. We developed China’s landslide disaster community cyber-infrastructure with cloud computing service integration and data collection, providing statistical landslide visualization in the period 1949-2011 based on Google platform. This work indicates cloud computing is further integrated into this cyber-infrastructure by utilizing public cloud services provided by Google, which effectively accelerates the speed during landslide data processing and visualization over the internet.
copyright:
 
© The authors.
This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/
full text: