Study on surface movement law of shallow buried layer in a coal mine in northern Shaanxi

doi:10.13474/j.cnki.11-2246.2025.0232

Abstract

Abstract: The Jurassic coalfield in Northern Shaanxi is located in a region of China that is ecologically sensitive. Long-term coal mining activities have had a profound impact on the ecology of this area. By monitoring and analyzing the patterns of surface movement, it is possible to assess the extent of the affected areas and the regions that are most severely damaged, thereby formulating targeted remediation measures. This study utilizes actual mining data from a coal mine in Shaanxi to calculate and analyze the specific values of surface subsidence and horizontal displacement, as well as the dynamic and static angular parameters of surface movement. Based on the principle of the probability integration method, probability integration parameters are determined using Matlab for parameter fitting. The findings of this study provide a reference for understanding the patterns of surface movement over shallow coal mines in the Northern Shaanxi region and for the management of the ecological environment.

Key words: shallow coal seam, the law of surface movement, dynamic parameters, static parameter, probability integral method, Matlab parameter fitting

CLC Number:

P258

ZHAO Sijia, WANG Xiaoyu, ZHANG Ruolan, ZHANG Pingli, LI Hongchao. Study on surface movement law of shallow buried layer in a coal mine in northern Shaanxi[J]. Bulletin of Surveying and Mapping, 2025, 0(2): 180-184.

References

[1] 钱鸣高,许家林,王家臣. 再论煤炭的科学开采[J]. 煤炭学报,2018,43(1): 1-13.
[2] DING Yucong,PENG Suping,DU Wenfeng. Ecological disturbance effects of surface vegetation during coal mining in arid regions of Western China[J]. Environmental Monitoring and Assessment,2024,196(6): 498.
[3] 赵云昌. 基于“三下”采煤技术应用下的地表下沉机理分析[J]. 测绘通报,2020(6): 156-157.
[4] 赵兵朝,路晓晓,贺卫中,等. 陕北黄土沟壑区煤炭开采衍生灾害评价方法[J]. 矿业安全与环保,2019,46(1): 82-86.
[5] 王颖,郭惟嘉. 煤炭开采对环境的影响及对策[J]. 煤炭技术,2007,26(5): 3-4.
[6] 张艳娜,杨泽元,史晓琼,等. 陕北生态脆弱矿区采煤引起的地表变形研究现状[J]. 煤炭技术,2016,35(1): 118-120.
[7] 林芳,冯晓九. 基于概率积分法的济宁某矿地表位移规律研究[J]. 金属矿山,2023(11): 198-204.
[8] 苗彦平,谢晓深,陈小绳,等. 浅埋煤层开采地表裂缝发育规律及机理研究[J]. 煤矿安全,2022,53(4): 209-215.
[9] 王卫东,郭先顺,王明立,等. 浅埋深多煤层开采地表移动规律实测与分析[J]. 煤炭工程,2023,55(11): 136-141.
[10] 何有生,李爱国. 基于InSAR地表沉降监测方法研究[J]. 煤炭技术,2023,42(10): 57-59.
[11] GONG Yaqiang,GUO Guangli,WANG Liping,et al. Numerical study on the surface movement regularity of deep mining underlying the super-thick and weak cementation overburden: a case study in Western China[J]. Sustainability,2022,14(3): 1855.
[12] 孙庆先,陈清通,牟义,等. 浅埋煤层综采条件下地表沉陷计算方法研究[J]. 煤炭工程,2023,55(9): 146-150.
[13] 高超. 基于Matlab曲线拟合求取地表沉陷预计参数的程序实现与优化[J]. 煤矿开采,2018(1): 33-37.
[14] 曾光,张鹏飞,王海恒,等. 基于多数据源的采煤沉陷区早期识别及地面形变特征监测: 以神木市大柳塔镇为例[J]. 测绘通报,2024(5): 121-126.
[15] ZHANG J,ZHANG P,JI X,et al. Prediction of surface subsidence in Gequan coal mine based on probability integral and numerical simulation[J]. Academic Journal of Engineering and Technology Science,2024,7(1): 25-36.
[16] FERNÁNDEZ-DURÁN J J,GREGORIO-DOMÍNGUEZ M M. Test of bivariate independence based on angular probability integral transform with emphasis on circular-circular and circular-linear data[J]. Dependence Modeling,2023,11(1): 1106-1119.
[17] 迟凤妹,刘国林,陶秋香,等. 联合SBAS-InSAR与概率积分模型的郓城煤矿沉降监测与分析[J/OL]. 地球物理学进展,2024(2024-09-06). https://kns.cnki.net/kcms/detail/11.2982.p.20240905.1800.044.html.