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融合概率积分法与SBAS-InSAR的开采沉陷计算方法

丁星丞 李培现 康新亮 王明亮 张涛 郝登程

矿业科学学报2025,Vol.10Issue(1):48-56,9.
矿业科学学报2025,Vol.10Issue(1):48-56,9.DOI:10.19606/j.cnki.jmst.2024938

融合概率积分法与SBAS-InSAR的开采沉陷计算方法

Calculation method for mining subsidence combining probability integral method and SBAS-InSAR

丁星丞 1李培现 2康新亮 3王明亮 2张涛 2郝登程4

作者信息

  • 1. 中国矿业大学(北京)地球科学与测绘工程学院,北京 100083||中国矿业大学(北京)内蒙古研究院,内蒙古 鄂尔多斯 017010
  • 2. 中国矿业大学(北京)地球科学与测绘工程学院,北京 100083
  • 3. 西山煤电(集团)有限责任公司地质处,山西 太原 030053
  • 4. 中国资源卫星应用中心,北京 100094
  • 折叠

摘要

Abstract

To address the issues of local optima and inaccurate edge subsidence predictions in the pa-rameter inversion process of the mining subsidence probability integral method,the authors propose ap-plying the dung beetle optimizer algorithm to invert probability integral method parameters and integrate SBAS-InSAR subsidence monitoring values to obtain comprehensive subsidence information for the min-ing area.The method first utilizes gradient information from SBAS-InSAR technology to obtain reliable subsidence values for areas with small deformation gradients in the mining area.It then applies to the dung beetle optimizer algorithm,known for its strong optimization capability and high accuracy,to in-vert the parameters of the probability integral method and calculate subsidence values for areas with large deformation gradients.Finally,the subsidence values from the probability integral method and SBAS-InSAR monitoring are fused using a quadratic distance weighting method approach to derive the mining subsidence deformation information for the mining area.Using the 10604 working face of the Malan Mine in Gujiao City,Shanxi Province,as the study area,experimental analysis was conducted using data from 62 field leveling monitoring points and 25 Sentinel-1A images.The results indicate that the parameter inversion using the dung beetle optimizer algorithm is excellent,and accurate subsidence information can be obtained after data fusion.This approach improves accuracy by 59%compared to u-sing SBAS-InSAR alone and by 32%compared to using the probability integral method alone.

关键词

开采沉陷/概率积分法/蜣螂优化算法/SBAS-InSAR/数据融合

Key words

mining subsidence/probability integral method/dung beetle optimizer algorithm/SBAS-InSAR/data fusion

分类

矿山工程

引用本文复制引用

丁星丞,李培现,康新亮,王明亮,张涛,郝登程..融合概率积分法与SBAS-InSAR的开采沉陷计算方法[J].矿业科学学报,2025,10(1):48-56,9.

基金项目

国家自然科学基金(52174160) (52174160)

河北省自然科学基金一生态智慧矿山联合基金(E2020402086) (E2020402086)

煤炭资源高效开采与洁净利用国家重点实验室开放基金(2021-CMCU-KF014) (2021-CMCU-KF014)

矿业科学学报

OA北大核心

2096-2193

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