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Open AccessArticle

Web3DGIS-Based System for Reservoir Landslide Monitoring and Early Warning

by 1,2, 1,2, 3, 1,2, 1,2,3 and 1,2,4,*
1
Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing 210023, China
2
Department of Geographic Information Science, Nanjing University, Nanjing 210023, China
3
Changjiang River Scientific Research Institute, Changjiang Water Resources Commission, Wuhan 430010, China
4
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
*
Author to whom correspondence should be addressed.
Academic Editor: Antonio Fernández-Caballero
Appl. Sci. 2016, 6(2), 44; https://doi.org/10.3390/app6020044
Received: 6 November 2015 / Revised: 13 January 2016 / Accepted: 26 January 2016 / Published: 4 February 2016
Landslides are the most frequent type of natural disaster, and they bring about large-scale damage and are a threat to human lives and infrastructure; therefore, the ability to conduct real-time monitoring and early warning is important. In this study, a Web3DGIS (Web3D geographic information systems) system for monitoring and forecasting landslides was developed using the Danjiangkou Reservoir area as a case study. The development of this technique involved system construction, functional design, organizing and managing multi-source spatial data, and implementing a forecasting plan and landslide-forecasting model. By integrating sensor technologies, spatial information technologies, 3D visualization technologies, and a landslide-forecasting model, the results of this study provide a tool for real-time monitoring at potential landslide sites. When relevant data from these sites reach threshold values, the model automatically initiates forecasting procedures, and sends information to disaster prevention sectors for emergency management. View Full-Text
Keywords: landslide monitoring; landslide early-warning; natural disasters; Web3DGIS landslide monitoring; landslide early-warning; natural disasters; Web3DGIS
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MDPI and ACS Style

Huang, H.; Ni, J.; Zhang, Y.; Qian, T.; Shen, D.; Wang, J. Web3DGIS-Based System for Reservoir Landslide Monitoring and Early Warning. Appl. Sci. 2016, 6, 44.

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