4.4 Article

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

期刊

JOURNAL OF MOUNTAIN SCIENCE
卷 13, 期 7, 页码 1275-1285

出版社

SCIENCE PRESS
DOI: 10.1007/s11629-015-3659-7

关键词

Landslide; Inventory; Zone; Distribution; Cloud computing

资金

  1. National Natural Science Foundation [41501458, 41201380]
  2. National Basic Research Program of China [2013CB733204]
  3. Key Laboratory of Mining Spatial Information Technology of NASMG [KLM201309]
  4. Science Program of Shanghai Normal University [SK201525]
  5. Shanghai Gaofeng & Gaoyuan Project for University Academic Program Development [2013LASW-A09, SKHL1310]
  6. Center of Spatial Information Science and Sustainable Development Applications, Tongji University, Shanghai, China

向作者/读者索取更多资源

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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