Sensitive Analysis of Assessment Model for Surface Subsidence Prediction

WANG Zheng; MIAO Li-yong; ZHAO Lei; LI Wei-na

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Sensitive Analysis of Assessment Model for Surface Subsidence Prediction

- Sensitive Analysis of Assessment Model for Surface Subsidence Prediction
- Bulletin of Soiland Water Conservation Vol. 26, Issue 1, Pages: 105-107(2007)
- 作者机构：
  
  西安科技大学地质与环境工程系,陕西,西安,710054
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2007
- 稿件说明：
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WANG Zheng, MIAO Li-yong, ZHAO Lei, et al. Sensitive Analysis of Assessment Model for Surface Subsidence Prediction[J]. Bulletin of Soiland Water Conservation, 2007, 26(1): 105-107.
DOI：

WANG Zheng, MIAO Li-yong, ZHAO Lei, et al. Sensitive Analysis of Assessment Model for Surface Subsidence Prediction[J]. Bulletin of Soiland Water Conservation, 2007, 26(1): 105-107. DOI：

摘要

针对矿区地表沉陷预测评价

以缓倾斜中硬煤层为例分析了概率积分法模式的稳定性。该模型有较好的稳定性

用于缓倾斜煤层的地表沉陷预测

可以满足预测的精度要求。在煤层的倾角、厚度、埋深及综合评价系数中

以综合评价系数的灵敏度最大

是主要控制参数。

Abstract

Aiming at the surface subsidence prediction assessment in the mining areas

this paper took the secondary rigidity and gentle coal layer for an example

and analyzed the stability of probability function model.The result indicates that the model has a good stability

and satisfies the precision demands for prediction assessment.Thus

we can use it in surface subsidence prediction of the secondary rigidity and gentle coal layer.Among the coal stratum angel

thickness

depth and the synthetic evaluation factor

the sensitivity of the synthetic evaluation factor is the greatest

and the factor is the main control parameter.

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Related Institution

Institute of Land Reclamation and Ecological Restoration, China University of Mining and Technology(Beijing)

College of Soil and Water Conservation, Beijing Forestry University

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