The Application of Different Curve Model In the Mine Subsidence Monitoring

Dong Sixue; Zheng Nanshan

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The Application of Different Curve Model In the Mine Subsidence Monitoring

Dong Sixue 1 #,Zheng Nanshan 2 *

1.School of Environment Science and Spatial Informatics, China University of Mining and Technology

2.School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou Jiangsu, 221116

*Correspondence author

#Submitted by

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Funding: The Project Sponsored by the Scientific Research Foundation of Key Laboratory for Land Environment and Disaster Monitoring of SBSM （No.Grant No. LEDM2009A01）

Opened online: 8 June 2011

Accepted by: none

Citation: Dong Sixue,Zheng Nanshan.The Application of Different Curve Model In the Mine Subsidence Monitoring[OL]. [ 8 June 2011] http://en.paper.edu.cn/en_releasepaper/content/4430941

The paper examines the mine subsidence monitoring issue from a further perspective. Different from previous research, this paper wants to emphasize the importance of curve model in the study of the gray system and the L curve. In what follows we want to show that both the practical application in monitoring. There are three parts in this paper. We start with a brief introduction to two curve model. Then we propose a practical application to testify the accuracy of the model. We find in our research that different mining subsidence prediction data model is not fixed. Based on these findings, we may conclude that the proposed two models or other models should be calculated to find the most suitable prediction model to monitor the distribution of mining subsidence and guide exploration and production for different settlement value of each group of mines.

Keywords:Mine Surveying; Subsidence Monitoring; Precision Analysis; Model Predictions

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