A Data-Intensive FLAC<sup>3D</sup> Computation Model: Application of Geospatial Big Data to Predict Mining Induced Subsidence

Gong, Yaqiang; Guo, Guangli

doi:10.32604/cmes.2019.03686

Submit a Paper
Propose a Special lssue

Open Access icon Open Access

ARTICLE

A Data-Intensive FLAC^3D Computation Model: Application of Geospatial Big Data to Predict Mining Induced Subsidence

Yaqiang Gong^1,2, Guangli Guo^1,2,*

1 NASG Key Laboratory of Land Environment and Disaster Monitoring, China University of Mining and Technology, Xuzhou, 221116, China.
2 School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, 221116, China.

* Corresponding Author: Guangli Guo. Email: email .