Numerical Simulation Research on the Spatiotemporal Evolution of Underground Combustion-Affected Areas Constrained by Satellite Observations

CHEN Yu; CHEN Xinlong; SUO Zhihui; FENG Xiaojun; DING Kaiwen; GUO Guangli; DU Peijun

doi:10.13203/j.whugis20240407

您当前的位置：

首页 >

文章列表页 >

Numerical Simulation Research on the Spatiotemporal Evolution of Underground Combustion-Affected Areas Constrained by Satellite Observations

更新时间：2026-11-05

- Numerical Simulation Research on the Spatiotemporal Evolution of Underground Combustion-Affected Areas Constrained by Satellite Observations
- Geomatics and Information Science of Wuhan University Vol. 50, Issue 8, Pages: 1527-1541(2025)
- 作者机构：
  
  1.中国矿业大学环境与测绘学院,江苏徐州,221116
  2.中国矿业大学自然资源部国土环境与灾害监测重点实验室,江苏徐州,221116
  3.中国矿业大学安全工程学院,江苏徐州,221116
  4.中国矿业大学煤矿瓦斯与火灾防治教育部重点实验室,江苏徐州,221116
  5.南京大学地理与海洋科学学院,江苏南京,210023
- 作者简介：
- 基金信息：
- DOI：10.13203/j.whugis20240407
  CLC： P237
- Received：31 November 2024，
  
  Published：05 August 2025
- 稿件说明：
移动端阅览
.陈宇等：卫星观测约束下的地下燃空区时空演化数值模拟研究[J].武汉大学学报（信息科学版）,2025,50(8):1527-1541.

CHEN Yu,CHEN Xinlong,SUO Zhihui,et al.Numerical Simulation Research on the Spatiotemporal Evolution of Underground Combustion-Affected Areas Constrained by Satellite Observations[J].Geomatics and Information Science of Wuhan University,2025,50(8):1527-1541.
.陈宇等：卫星观测约束下的地下燃空区时空演化数值模拟研究[J].武汉大学学报（信息科学版）,2025,50(8):1527-1541. DOI：10.13203/j.whugis20240407

CHEN Yu,CHEN Xinlong,SUO Zhihui,et al.Numerical Simulation Research on the Spatiotemporal Evolution of Underground Combustion-Affected Areas Constrained by Satellite Observations[J].Geomatics and Information Science of Wuhan University,2025,50(8):1527-1541. DOI：10.13203/j.whugis20240407

摘要

地下煤火被称为“全球性灾难”，其燃烧不仅会造成煤炭资源的浪费，还会引发严重的环境污染和地质灾害问题。了解煤层燃烧所形成燃空区的形态及其时空演变特征是煤火灭火与灾害防治的基础，将卫星观测数据融入岩层移动数值模拟中，利用热红外遥感和时序合成孔径雷达干涉测量（interferometric synthetic aperture radar，InSAR）技术反演的地表温度和形变信息作为约束，结合岩层热传导理论与弹塑性力学理论，对地下燃空区三维温度场及其形态的时空演化进行模拟，并在中国宁夏汝箕沟红梁火区开展应用。结果表明，卫星观测数据可为数值模拟提供更准确的地表参数约束，空间上温度自煤层核心向外逐渐降低，时间上地表和各岩层温度均随煤层燃烧时间逐渐升高。反演中，当岩层弱化系数为0.18时，煤层顶板出现了联通的塑性区域，剖面呈K型，主体受剪切塑性变形影响严重；正演中，当时步达5 400时，地表最大沉降量达149.80 mm，剖面沉降呈波峰状。正、反演两种方法模拟的地下燃空区达到吻合，标准差为4.59 mm，表明该模型能合理地描述地下燃空区的三维形态及其演化特征。该研究为揭示地下燃空区时空演化规律提供了新的思路和科学依据，为地下煤火的有效治理提供了理论支撑。

Abstract

Objectives

Underground coal fires are regarded as a global disaster

as their combustion not only leads to the waste of coal resources

but also causes severe environmental pollution and geological hazards. Understanding the morphology and spatiotemporal evolution of the combustion-affected areas formed by coal seam fires is essential for effective fire suppression and disaster prevention.

Methods

First

we integrate satellite observation data into strata movement numerical simulations. Using surface temperature and deformation information derived from thermal infrared remote sensing and interferometric synthetic aperture radar (InSAR) as constraints

combined with thermodynamic and elastoplastic mechanics theories. Then we conducted a numerical simulation to investigate the spatiotemporal evolution of the three-dimensional temperature field and morphology of underground combustion-affected areas. The methodology was applied to the Hongliang fire area in Rujigou

Ningxia

China.

Results

The results indicate that satellite observation data provide more accurate surface parameter constraints for numerical simulations. Spatially

the temperature decreases gradually from the coal seam core outward

while temporally

both surface and strata temperatures rise as coal seam combustion progresses. For instance

the time series of temperatures at three characteristic points (

3) along the profile reveal that

1's temperature remains stable at approximately 18 ℃ during the first three months and then increases at an accelerating rate

reaching 27 ℃ after 12 months. At

the temperature rises slowly during the first three months

followed by a linear increase to about 145 ℃.

3 experiences a rapid temperature rise

with the rate of increase decelerating over time

reaching around 600 ℃ after one year. In the inversion process

as the strata weakening coefficient decreases from 1

temperatures above the coal seam rise due to combustion

leading to the formation and continuous expansion of a plastic zone. When the strata weakening coefficient is between 1 and 0.18

no connected plastic zones are observed. However

when the coefficient reaches 0.18

a connected plastic zone appears in the coal seam roof

displaying a K-shaped profile and being significantly impacted by shear plastic deformation. In the forward simulation

the subsidence zone takes on a funnel-shaped deformation pattern

with the magnitude of deformation decreasing outward from the center

which delineates the extent of combustion influence. As the time steps increase

surface subsidence progressively increases. At time step 5 400

the maximum surface subsidence reaches 149.80 mm

with the subsidence profile showing a peak pattern. The forward and inversion simulations of the underground combustion-affected areas align well

with a standard deviation of 4.59 mm

indicating that the model can accurately represent the three-dimensional morphology and evolutionary characteristics of the combustion-affected areas.

Conclusions

This study provides a novel approach and scientific basis for uncovering the spatiotemporal evolution patterns of underground combustion-affected areas

offering theoretical support for the effective management of underground coal fires.

关键词

Keywords

references

VOIGT S ， TETZLAFF A ， ZHANG J Z ， et al . Integrating Satellite Remote Sensing Techniques for Detection and Analysis of Uncontrolled Coal Seam Fires in North China ［J］. International Journal of Coal Geology ， 2004 ， 59 （ 1/2 ）： 121 - 136 .

汪云甲 . 矿区生态扰动监测研究进展与展望［J］. 测绘学报， 2017 ， 46 （ 10 ）： 1705 - 1716 .

WANG Yunjia . Research Progress and Prospect on Ecological Disturbance Monitoring in Mining Area ［J］. Acta Geodaetica et Cartographica Sinica ， 2017 ， 46 （ 10 ）： 1705 - 1716 .

STRACHER G B ， TAYLOR T P . Coal Fires Burning out of Control Around the World： Thermodynamic Recipe for Environmental Catastrophe ［J］. International Journal of Coal Geology ， 2004 ， 59 （ 1/2 ）： 7 - 17 .

汪云甲，原刚，王腾，等 . 煤田隐蔽火源多源遥感探测研究［J］. 武汉大学学报（信息科学版）， 2022 ， 47 （ 10 ）： 1651 - 1661 .

WANG Yunjia ， YUAN Gang ， WANG Teng ， et al . Research on Multi-Source Remote Sensing Detection of Concealed Fire Sources in Coalfields ［J］. Geomatics and Information Science of Wuhan University ， 2022 ， 47 （ 10 ）： 1651 - 1661 .

邵振鲁，王德明，王雁鸣 . 高密度电法探测煤火的模拟及应用研究［J］. 采矿与安全工程学报， 2013 ， 30 （ 3 ）： 468 - 474 .

SHAO Zhenlu ， WANG Deming ， WANG Yanming . Simulation of High-Density Electrical Method in Detecting Coal Fires and Its Application ［J］. Journal of Mining & Safety Engineering ， 2013 ， 30 （ 3 ）： 468 - 474 .

金永飞，邓军，许延辉，等 . 测氡法探测地下煤火技术研究与应用［J］. 西安科技大学学报， 2010 ， 30 （ 6 ）： 647 - 650 .

JIN Yongfei ， DENG Jun ， XU Yanhui ， et al . Application of Radon Detection Method in Detecting of Underground Coal Fire ［J］. Journal of Xi’an University of Science and Technology ， 2010 ， 30 （ 6 ）： 647 - 650 .

张雷昕，汪云甲，赵峰，等 . 基于无人机热红外遥感的新疆宝安煤矿火区探测［J］. 煤炭工程， 2021 ， 53 （ 6 ）： 162 - 166 .

ZHANG Leixin ， WANG Yunjia ， ZHAO Feng ， et al . Detection and Analysis of Fire Area in Xinjiang Baoan Coal Mine Based on UAV Thermal Infrared Remote Sensing ［J］. Coal Engineering ， 2021 ， 53 （ 6 ）： 162 - 166 .

武建军，蒋卫国，刘晓晨，等 . 地下煤火探测、监测与灭火技术研究进展［J］. 煤炭学报， 2009 ， 34 （ 12 ）： 1669 - 1674 .

WU Jianjun ， JIANG Weiguo ， LIU Xiaochen ， et al . Innovative Technologies for Exploration， Monitoring and Extinction of Underground Coal Fires ［J］. Journal of China Coal Society ， 2009 ， 34 （ 12 ）： 1669 - 1674 .

WANG T ， WANG Y J ， ZHAO F ， et al . A Spatio-temporal Temperature-Based Thresholding Algorithm for Underground Coal Fire Detection with Satellite Thermal Infrared and Radar Remote Sensing ［J］. International Journal of Applied Earth Observation and Geoinformation ， 2022 ， 110 ： 102805 .

SINGH N ， CHATTERJEE R S ， KUMAR D ， et al . Retrieval of Precise Land Surface Temperature from ASTER Night-Time Thermal Infrared Data by Split Window Algorithm for Improved Coal Fire Detection in Jharia Coalfield， India ［J］. Geocarto International ， 2022 ， 37 （ 3 ）： 926 - 943 .

毛耀保 . 宁夏汝箕沟煤田火区高光谱定量遥感探测研究［J］. 国土资源遥感， 2010 ， 22 （ 3 ）： 69 - 75 .

MAO Yaobao . Research on Hyperspectral Quantitative Remote Sensing Detection of the Rujigou Coal Fire Area in Ningxia ［J］. Remote Sensing for Land & Resources ， 2010 ， 22 （ 3 ）： 69 - 75 .

RIYAS M J ， SYED T H ， KUMAR H ， et al . Detecting and Analyzing the Evolution of Subsidence Due to Coal Fires in Jharia Coalfield， India Using Sentinel-1 SAR Data ［J］. Remote Sensing ， 2021 ， 13 （ 8 ）： 1521 .

YU B ， SHE J ， LIU G X ， et al . Coal Fire Identification and State Assessment by Integrating Multitemporal Thermal Infrared and InSAR Remote Sensing Data： A Case Study of Midong District， Urumqi， China ［J］. ISPRS Journal of Photogrammetry and Remote Sensing ， 2022 ， 190 ： 144 - 164 .

CHEN Y ， DING K W ， SUO Z H ， et al . A Multisource Remote Sensing Identification Method for Coal Fire Zones Based on a Three-Layer Ensemble Learning Model ［J］. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ， 2024 ， 17 ： 12666 - 12684 .

HEBBLEWHITE B . Fracturing， Caving Propagation and Influence of Mining on Groundwater Above Longwall Panels—A Review of Predictive Models ［J］. International Journal of Mining Science and Technology ， 2020 ， 30 （ 1 ）： 49 - 54 .

郭广礼，汪云甲 . 概率积分法参数的稳健估计模型及其应用研究［J］. 测绘学报， 2000 ， 29 （ 2 ）： 162 - 165 .

GUO Guangli ， WANG Yunjia . Study of Robust Determining Parameters Model for Probability-Integral Method and Its Application ［J］. Acta Geodaetica et Cartographic Sinica ， 2000 ， 29 （ 2 ）： 162 - 165 .

GUO G L ， ZHU X J ， ZHA J F ， et al . Subsidence Prediction Method Based on Equivalent Mining Height Theory for Solid Backfilling Mining ［J］. Transactions of Nonferrous Metals Society of China ， 2014 ， 24 （ 10 ）： 3302 - 3308 .

郭广礼，郭凯凯，张国建，等 . 深部带状充填开采复合承载体变形特征研究［J］. 采矿与安全工程学报， 2020 ， 37 （ 1 ）： 101 - 109 .

GUO Guangli ， GUO Kaikai ， ZHANG Guojian ， et al . Research on Deformation Characteristics of Coupled Coal-Backfills Bearing in Deep Strip Backfilling Mining ［J］. Journal of Mining & Safety Engineering ， 2020 ， 37 （ 1 ）： 101 - 109 .

邓喀中，张冬至，张周权 . 深部开采条件下地表沉陷预测及控制探讨［J］. 中国矿业大学学报， 2000 ， 29 （ 1 ）： 52 - 55 .

DENG Kazhong ， ZHANG Dongzhi ， ZHANG Zhouquan . Study on Prediction and Control of Surface Subsidence in Deep Mining ［J］. Journal of China University of Mining & Technology ， 2000 ， 29 （ 1 ）： 52 - 55 .

CHEN Y ， LI J ， LI H Z ， et al . Revealing Land Surface Deformation over the Yineng Backfilling Mining Area， China， by Integrating Distributed Scatterer SAR Interferometry and a Mining Subsidence Model ［J］. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ， 2023 ， 16 ： 3611 - 3634 .

邓军，徐精彩，张辛亥 . 综放面采空区温度场动态数学模化及应用［J］. 中国矿业大学学报， 1999 ， 28 （ 2 ）： 179 - 181 .

DENG Jun ， XU Jingcai ， ZHANG Xinhai . Dynamic Computer Simulation of Temperature Field in Goaf Areas of Fully Mechanized Roof Coal Caving Face ［J］. Journal of China University of Mining & Technology ， 1999 ， 28 （ 2 ）： 179 - 181 .

WESSLING S ， KUENZER C ， KESSELS W ， et al . Numerical Modeling for Analyzing Thermal Surface Anomalies Induced by Underground Coal Fires ［J］. International Journal of Coal Geology ， 2008 ， 74 （ 3/4 ）： 175 - 184 .

GAO R X ， ZHU H Q ， LIAO Q ， et al . Detection of Coal Fire by Deep Learning Using Ground Penetrating Radar ［J］. Measurement ， 2022 ， 201 ： 111585 .

CHEN Y ， SUO Z H ， LI J ， et al . Active–Passive Remote Sensing Identification of Underground Coal Fire Zones with Joint Constraints of Temperature and Surface Deformation Time Series ［J］. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ， 2023 ， 17 ： 894 - 915 .

JIANG M ， DING X L ， LI Z W ， et al . InSAR Coherence Magnitude Estimation Based on Data Stack ［J］. Chinese Journal of Geophysics - Chinese Edition ， 2013 ， 56 （ 3 ）： 799 - 811 .

ANSARI H ， DE ZAN F ， BAMLER R . Efficient Phase Estimation for Interferogram Stacks ［J］. IEEE Transactions on Geoscience and Remote Sensing ， 2018 ， 56 （ 7 ）： 4109 - 4125 .

FERRETTI A ， FUMAGALLI A ， NOVALI F ， et al . A New Algorithm for Processing Interferometric Data-Stacks： SqueeSAR ［J］. IEEE Transactions on Geoscience and Remote Sensing ， 2011 ， 49 （ 9 ）： 3460 - 3470 .

HOOPER A ， ZEBKER H A . Phase Unwrapping in Three Dimensions with Application to InSAR Time Series ［J］. Journal of the Optical Society of America A， Optics， Image Science， and Vision ， 2007 ， 24 （ 9 ）： 2737 - 2747 .

覃志豪， ZHANG Minghua ， KARNIELI A ，等 . 用陆地卫星TM 6 数据演算地表温度的单窗算法［J］. 地理学报， 2001 ， 56 （ 4 ）： 456 - 466 .

QIN Zhihao ， ZHANG Minghua ， KARNIELI A ， et al . Mono-Window Algorithm for Retrieving Land Surface Temperature from Landsat TM 6 Data ［J］. Acta Geographica Sinica ， 2001 ， 56 （ 4 ）： 456 - 466 .

CHEN J L ， LIANG L ， JIANG F M . Analyzing Heat Extraction and Sustainability of Enhanced Geothermal Systems （EGS） with a Novel Single-Porosity Model ［C］// The 38th Workshop on Geothermal Reservoir Engineering ， Stanford University， Stanford，USA， 2013 .

李怀展 . 无井式煤炭地下气化岩层移动机理与控制研究［D］. 徐州：中国矿业大学， 2017 .

LI Huaizhan . Study on Movement Mechanism and Control of Underground Coal Gasification Strata Without Well ［D］. Xuzhou ： China University of Mining and Technology ， 2017 .

ZHAO J . Applicability of Mohr–Coulomb and Hoek–Brown Strength Criteria to the Dynamic Strength of Brittle Rock ［J］. International Journal of Rock Mechanics and Mining Sciences ， 2000 ， 37 （ 7 ）： 1115 - 1121 .

SINGH M ， RAJ A ， SINGH B . Modified Mohr–Coulomb Criterion for Non-Linear Triaxial and Polyaxial Strength of Intact Rocks ［J］. International Journal of Rock Mechanics and Mining Sciences ， 2011 ， 48 （ 4 ）： 546 - 555 .

SHEN B T ， SHI J Y ， BARTON N . An Approximate Nonlinear Modified Mohr-Coulomb Shear Strength Criterion with Critical State for Intact Rocks ［J］. Journal of Rock Mechanics and Geotechnical Engineering ， 2018 ， 10 （ 4 ）： 645 - 652 .

Itasca Consulting Group Inc . FLAC3D 6.0 Theory and Background ［M］. Minneapolis ： Itasca Consulting Group Inc ， 2017 .

汤研 . 煤田火地下高温区强迫对流提热降温特性及技术研究［D］. 徐州：中国矿业大学， 2019 .

TANG Yan . Heat-Extraction and Cooling Characteristics and the Corresponding Fire-Control Technology Under Forced Convection in High-Temperature Zones of Underground Coal Fires ［D］. Xuzhou ： China University of Mining and Technology ， 2019 .

顾斌 . 热力耦合作用下岩体物理力学特性及煤炭地下气化特征场研究［D］. 徐州：中国矿业大学， 2021 .

GU Bin . Research on Rock Physico-Mechanical Properties and Underground Coal Gasification Characteristics Field Under Thermal and Mechanical Coupling Effect ［D］. Xuzhou ： China University of Mining and Technology ， 2021 .

尹土兵 . 高温后粉砂岩动态力学特性及破坏机理研究［D］. 长沙：中南大学， 2008 .

YIN Tubing . Study on the Dynamic Mechanical Properties and Failure Mechanism of Sandstone After High Temperature ［D］. Changsha ： Central South University ， 2008 .

尹土兵，李夕兵，王斌，等 . 高温后砂岩动态压缩条件下力学特性研究［J］. 岩土工程学报， 2011 ， 33 （ 5 ）： 777 - 784 .

YIN Tubing ， LI Xibing ， WANG Bin ， et al . Mechanical Properties of Sandstones After High Temperature Under Dynamic Loading ［J］. Chinese Journal of Geotechnical Engineering ， 2011 ， 33 （ 5 ）： 777 - 784 .

李明，茅献彪，曹丽丽，等 . 高温后砂岩动力特性应变率效应的试验研究［J］. 岩土力学， 2014 ， 35 （ 12 ）： 3479 - 3488 .

LI Ming ， MAO Xianbiao ， CAO Lili ， et al . Experimental Study of Mechanical Properties on Strain Rate Effect of Sandstones After High Temperature ［J］. Rock and Soil Mechanics ， 2014 ， 35 （ 12 ）： 3479 - 3488 .

王建华，陈冰凌 . 汝箕沟矿区火区治理及监测方法的选择与应用［J］. 中国煤炭地质， 2021 ， 33 （ 11 ）： 81 - 86 .

WANG Jianhua ， CHEN Bingling . Fire Zone Governance and Monitoring Method Selection and Application in Rujigou Coalmine Area ［J］. Coal Geology of China ， 2021 ， 33 （ 11 ）： 81 - 86 .

王建华，聂磊，梁鹏，等 . 宁夏回族自治区石嘴山市汝箕沟矿区火区现状评价分析报告［R］. 石嘴山：宁夏煤炭勘察工程有限公司， 2021 .

WANG Jianhua ， NIE Lei ， LIANG Peng ， et al . Evaluation and Analysis Report on the Current Situation of the Fire Area in Rujigou Mining Area， Shizuishan City， Ningxia Hui Autonomous Region ［R］. Shizuishan ： Ningxia Coal Exploration Engineering Co . Ltd ， 2021 .

ZUBKOVA V ， PREZHDO V . Change in Electric and Dielectric Properties of some Australian Coals During the Processes of Pyrolysis ［J］. Journal of Analytical and Applied Pyrolysis ， 2006 ， 75 （ 2 ）： 140 - 149 .

谷德振 . 岩体工程地质力学基础［M］. 北京：科学出版社， 1979 .

GU Dezhen . Foundation of Rock Mass Engineering Geomechanics ［M］. Beijing ： Science Press ， 1979 .

李先炜 . 岩块力学性质［M］. 北京：煤炭工业出版社， 1983 .

LI Xianwei . Mechanical Properties of Rock Blocks ［M］. Beijing ： Coal Industry Press ， 1983 .

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Robust Refinement Method for Coherence Matrix in Time-Series InSAR Phase Linking

Monitoring Ground Displacement of Large-Scale Landfills in Wuhan Using Time-Series InSAR Technology

Research Progress of Phase Linking Method in Time-Series InSAR

Spatiotemporal Prediction of Time-Series InSAR Land Subsidence Based on ConvLSTM Neural Network

Review on the Study of Numerical Simulation of Crustal Deformation Dynamic Models in Sichuan-Yunnan Region

Related Author

LI Song

TANG Xinming

GUAN Jianjun

JIANG Liming

LI Chencheng

JIN Yuan

LAI Zhenyan

SHI Xuguo

Related Institution

Center for Land Satellite Remote Sensing Application, Ministry of Natural Resources

Electronic Information School, Wuhan University

College of Earth and Planetary Sciences, University of Chinese Academy of Sciences

School of Geography and Information Engineering, China University of Geoscience

State Key Laboratory of Geodesy and Earth's Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences

AI问答

⁰