A public Cloud-based China’s Landslide Inventory Database (CsLID): development, zone, and spatiotemporal analysis for significant historical events, 1949-2011

被引:0
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作者
Wei-yue Li
Chun Liu
Yang Hong
Xin-hua Zhang
Zhan-ming Wan
Manabendra Saharia
Wei-wei Sun
Dong-jing Yao
Wen Chen
Sheng Chen
Xiu-qin Yang
Yue Yue
机构
[1] Shanghai Normal University,Institute of Urban Study
[2] Tongji University,Center for Spatial Information Science and Sustainable Development Applications
[3] Tongji University,College of Surveying and Geo
[4] University of Oklahoma,Informatics
[5] University of Oklahoma,School of Civil Engineering and Environmental Sciences
[6] Norman,Advanced Radar Research Center
[7] Sichuan University,State Key Laboratory of Hydraulics and Mountain River Engineering
[8] Ningbo University,College of Architectural Engineering, Civil Engineering and Environment
[9] Shanghai Normal University,Department of Geography
[10] East China Normal University,Engineering Center of SHMEC for Space Information and GNSS
[11] Nanjing University of Information Science & Technology,Applied Hydrometeorological Research Institute
[12] Shanghai Tenth People’s Hospital of Tongji University,Department of Stomatology
来源
关键词
Landslide; Inventory; Zone; Distribution; Cloud computing;
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中图分类号
学科分类号
摘要
Landslide inventory plays an important role in recording landslide events and showing their temporal-spatial distribution. This paper describes the development, visualization, and analysis of a China's Landslide Inventory Database (CsLID) by utilizing Google’s public cloud computing platform. Firstly, CsLID (Landslide Inventory Database) compiles a total of 1221 historical landslide events spanning the years 1949-2011 from relevant data sources. Secondly, the CsLID is further broken down into six zones for characterizing landslide cause-effect, spatiotemporal distribution, fatalities, and socioeconomic impacts based on the geological environment and terrain. The results show that among all the six zones, zone V, located in Qinba and Southwest Mountainous Area is the most active landslide hotspot with the highest landslide hazard in China. Additionally, the Google public cloud computing platform enables the CsLID to be easily accessible, visually interactive, and with the capability of allowing new data input to dynamically augment the database. This work developed a cyber-landslide inventory and used it to analyze the landslide temporal-spatial distribution in China.
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页码:1275 / 1285
页数:10
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