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。
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.
出处
《水土保持通报》
CSCD
北大核心
2007年第1期105-107,共3页
Bulletin of Soil and Water Conservation
关键词
煤炭开采
地表沉陷预测
概率积分法模型
灵敏度
coal mining
surface subsidence prediction
probability function model
sensitive analysis
