Journal
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
Volume 6, Issue 11, Pages -Publisher
MDPI
DOI: 10.3390/ijgi6110377
Keywords
virtual geographic environment; debris flow disaster; multiscale parallel optimization; real-time interaction; emergency analysis
Funding
- National Key Research and Development Program of China [2016YFC0803105]
- National High Technology Research and Development Program of China [2015AA123901]
- National Basic Surveying and Mapping Technology Project [2017KJ0303]
- Smart Guangzhou Spatio-temporal Information Cloud Platform Construction [GZIT2016-A5-147]
- Southwest Jiaotong University
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Emergency risk assessment of debris flows in residential areas is of great significance for disaster prevention and reduction, but the assessment has disadvantages, such as a low numerical simulation efficiency and poor capabilities of risk assessment and geographic knowledge sharing. Thus, this paper focuses on the construction of a VGE (virtual geographic environment) system that provides an efficient tool to support the rapid risk analysis of debris flow disasters. The numerical simulation, risk analysis, and 3D (three-dimensional) dynamic visualization of debris flow disasters were tightly integrated into the VGE system. Key technologies, including quantitative risk assessment, multiscale parallel optimization, and visual representation of disaster information, were discussed in detail. The Qipan gully in Wenchuan County, Sichuan Province, China, was selected as the case area, and a prototype system was developed. According to the multiscale parallel optimization experiments, a suitable scale was chosen for the numerical simulation of debris flow disasters. The computational efficiency of one simulation step was 5 ms (milliseconds), and the rendering efficiency was approximately 40 fps (frames per second). Information about the risk area, risk population, and risk roads under different conditions can be quickly obtained. The experimental results show that our approach can support real-time interactive analyses and can be used to share and publish geographic knowledge.
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