陕西煤炭2024,Vol.43Issue(11) :156-161.DOI:10.20120/j.cnki.issn.1671-749x.2024.1129

基于Gompertz函数的矿区地表下沉预测方法

Prediction of the surface subsidence in mining area based on Gompertz function

李国平 谷海静 郭冬冬
陕西煤炭2024,Vol.43Issue(11) :156-161.DOI:10.20120/j.cnki.issn.1671-749x.2024.1129

基于Gompertz函数的矿区地表下沉预测方法

Prediction of the surface subsidence in mining area based on Gompertz function

李国平 1谷海静 2郭冬冬1
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作者信息

  • 1. 彬县煤炭有限责任公司,陕西咸阳 712000
  • 2. 陕西华彬煤业股份有限公司,陕西咸阳 713500
  • 折叠

摘要

煤炭开采所引起的地表沉陷对生态环境极具危害,造成的经济损失也相当巨大,因此开展矿区地表下沉预测十分必要.通过对开采沉陷动态预计的改进分段Knothe时间函数和分段Weibull时间函数进行分析,以时间、空间相一致的建模思路,构建出一种适用于充填长壁开采工艺的开采沉陷动态预计的时间函数模型,即Gompertz时间函数模型.在给出参数求取方法及全盆地动态移动变形预计算法的基础上,认为该时间函数与地表点下沉特征具有非常高的一致性,对开采沉陷动态预计具有良好适用性.以陕西某矿22302工作面地表移动观测站实测数据进行Gompertz函数参数反演,与实测数据进行对比并分析其拟合精度,验证了该方法能够满足沉陷预测的要求.

Abstract

The surface subsidence caused by coal mining has very serious damage to the environment with increasing eco-nomic losses.Therefore,it is still very necessary to predict the surface subsidence of coal mining area.Through analysis of the improved sectional Knothe time function and sectional Weibull time function for the dynamic prediction of minging-in-duced subsidence,and the model-building concept of consistent time and space,a time-function model for the dynamic pre-diction of mining-caused subsidence was built,that is,Gompertz time function model,which is suitable for filling long-wall mining.After figuring out the methods of parameter solving and the dynamic moving prediction of total basin,we believe that the time function is highly consistent with the surface subsidence characteristics,which is applicable for the predicting of the mining-induced surface subsidence.Taking the surface moving observation station of the 22302 working face of a mine in Shaanxi as an example,the parameter reversion of Gompertz function was carried out,and its fitting precision was analyzed,verifying that the method meeting the requirement for the subsidence prediction.

关键词

煤炭开采/地表沉陷/沉陷预测/动态预计/Gompertz函数

Key words

coal mining/surface subsidence/subsidence prediction/dynamic prediction/Gompertz function

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出版年

2024
陕西煤炭
陕西省煤炭工业协会 神华神东煤炭集团有限责任公司 陕西煤业化工集团有限责任公司

陕西煤炭

影响因子:0.204
ISSN:1671-749X
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