Research Progress and Prospect on Ecological Disturbance Monitoring in Mining Area

doi:10.11947/j.AGCS.2017.20170358

Abstract

Abstract: Due to the exploitation of resources, serious ecological and environment problem had been aroused in the mining area. Monitoring and analyzing various typical signals and anomalies in the ecological environment of the mining area had become an important basis for environmental protection and ecological restoration. The research progress had been reviewed from such aspects as ground deformation and subsidence, underground coal fire and spontaneous combustion of coal gangue and other ecological disturbance factors monitoring. For the particularity, complexity and highly dynamic of mining subsidence and ecological environment change, the single monitoring method is not enough, integrating the aerospace-borne and ground based integrated earth observation sensor Web and mine Internet of Things, to develop multi-source and multi-scale aerospace-borne and ground based cooperative monitoring and intelligent sensing system for ecological disturbance is the future research focus and direction in mining area.

Key words: mining area, ecological disturbance, ground deformation and subsidence, underground mine fire, spontaneous combustion of coal gangue, monitor

CLC Number:

P227

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

References

[1] 吴侃, 汪云甲, 王岁权, 等. 矿山开采沉陷监测及预测新技术[M]. 北京:中国环境科学出版社, 2012. WU Kan, WANG Yunjia, WANG Suiquan, et al. New Monitoring and Prediction Technology for Mining Subsidence[M]. Beijing:China Environmental Science Press, 2012.
[2] GE Linlin, CHANG H C, RIZOS C. Mine Subsidence Monitoring Using Multi-Source Satellite SAR Images[J]. Photogrammetric Engineering & Remote Sensing, 2007, 73(3):259-266.
[3] CARNEC C, DELACOURT C. Three Years of Mining Subsidence Monitored by SAR Interferometry, Near Gardanne, France[J]. Journal of Applied Geophysics, 2000, 43(1):43-54.
[4] WRIGHT P A, STOW R J. Detection and Measurement of Mining Subsidence by SAR Interferometry[C]//Proceedings of IEE Colloquium on Radar Interferometry (Digest No.:1997/153). London, UK:IEEE, 1997:5/1-5/6.
[5] WEGMULLER U, STROZZI T, WERNER C, et al. Monitoring of Mining-Induced Surface Deformation in the Ruhrgebiet (Germany) with SAR Interferometry[C]//Proceedings of IEEE 2000 International Geoscience and RemoteSensing Symposium, IGARSS 2000. Honolulu, HI:2000:2771-2773.
[6] GE L, RIZOS C, HAN S, et al. Mining Subsidence Monitoring Using the Combined InSAR and GPS Approach[C]//Proceedings of the 10th International Symposium on Deformation Measurements, International Federation of Surveyors (FIG). Orange, California:[s.n.], 2001:1-10.
[7] KETELAAR V B H G. Satellite Radar Interferometry:Subsidence Monitoring Techniques[M]. Netherlands:Springer, 2010.
[8] FAN Hongdong, GAO Xiaoxiong, YANG Junkai, et al. Monitoring Mining Subsidence Using A Combination of Phase-stacking and Offset-tracking Methods[J]. Remote Sensing, 2015, 7(7):9166-9183.
[9] HUANG Jilei, DENG Kazhong, FAN Hongdong, et al. An Improved Pixel-tracking Method for Monitoring Mining Subsidence[J]. Remote Sensing Letters, 2016, 7(8):731-740.
[10] DU Yanan, ZHANG Lei, FENG Guangcai, et al. On the Accuracy of Topographic Residuals Retrieved by MTInSAR[J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(2):1053-1065.
[11] 尹宏杰, 朱建军, 李志伟, 等. 基于SBAS的矿区形变监测研究[J]. 测绘学报, 2011, 40(1):52-58. YIN Hongjie, ZHU Jianjun, LI Zhiwei, et al. Ground Subsidence Monitoring in Mining Area Using DInSAR SBAS Algorithm[J]. Acta Geodaetica et Cartographica Sinica, 2011, 40(1):52-58.
[12] LI Zhiwei, YANG Zefa, ZHU Jianjun, et al. Retrieving Three-dimensional Displacement Fields of Mining Areas from a Single InSAR Pair[J]. Journal of Geodesy, 2015, 89(1):17-32.
[13] YANG Zefa, LI Zhiwei, ZHU Jianjun, et al. An Extension of the InSAR-based Probability Integral Method and Its Application for Predicting 3D Mining-induced Displacements Under Different Extraction Conditions[J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(7):3835-3845.
[14] 范洪冬, 邓喀中. 矿区地表沉降监测的DInSAR信息提取方法[M]. 徐州:中国矿业大学出版社, 2016. FAN Hongdong, DENG Kazhong. DInSAR Information Extraction Method for Surface Subsidence Monitoring in Mining Area[M]. Xuzhou:China University of Mining and Technology Press, 2016.
[15] 张学东, 葛大庆, 吴立新, 等. 基于相干目标短基线InSAR的矿业城市地面沉降监测研究[J]. 煤炭学报, 2012, 37(10):1606-1611. ZHANG Xuedong, GE Daqing, WU Lixin, et al. Study on Monitoring Land Subsidence in Mining City Based on Coherent Target Small-Baseline InSAR[J]. Journal of China Coal Society, 2012, 37(10):1606-1611.
[16] 李爱国. 基于时序差分干涉测量的黄土沟壑矿区地表沉降监测研究[D]. 西安:长安大学, 2014. LI Aiguo. Study on the Monitoring of Mining-induced Subsidence in Loess Hilly Gully Region Based on Time Series DInSAR Technique[D]. Xi'an:Chang'an University, 2014.
[17] 陈炳乾. 面向矿区沉降监测的InSAR技术及应用研究[D]. 徐州:中国矿业大学, 2015. CHEN Bingqian. A Study on InSAR for Subsidence Monitoring in Mining Area[D]. Xuzhou:China University of Mining and Technology, 2015.
[18] JIANG Weiguo, ZHU Xiaohua, WU Jianjun, et al. Retrieval and Analysis of Coal Fire Temperature in Wuda Coalfield, Inner Mongolia, China[J]. Chinese Geographical Science, 2011, 21(2):159-166.
[19] MISHRA R K, BAHUGUNA P P, SINGH V K. Detection of Coal Mine Fire in Jharia Coal Field Using LandSat-7 ETM+ Data[J]. International Journal of Coal Geology, 2011, 86(1):73-78.
[20] 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.
[21] GANGOPADHYAY P K, VAN DER MEER F, VAN DIJK P M, et al. Use of Satellite-derived Emissivity to Detect Coalfire-related Surface Temperature Anomalies in Jharia Coalfield, India[J]. International Journal of Remote Sensing, 2012, 33(21):6942-6955.
[22] 陈云浩, 李京, 杨波, 等. 基于遥感和GIS的煤田火灾监测研究——以宁夏汝箕沟煤田为例[J]. 中国矿业大学学报, 2005, 34(2):226-230. CHEN Yunhao, LI Jing, YANG Bo, et al. Monitoring Coal Fires Based on Remotely Sensed Data and GIS Technique in Coalfields-A Case Study of Rujigou Coal field in Nixia, China[J]. Journal of China University of Mining & Technology, 2005, 34(2):226-230.
[23] 蒋卫国, 武建军, 顾磊, 等. 基于遥感技术的乌达煤田火区变化监测[J]. 煤炭学报, 2010, 35(6):964-968. JIANG Weiguo, WU Jianjun, GU Lei, et al. Change Monitoring in Wuda Coalfield Fire Area Based on Remote Sensing[J]. Journal of China Coal Society, 2010, 35(6):964-968.
[24] WANG Yunjia, TIAN Feng, HUANG Yi, et al. Monitoring Coal Fires in Datong Coalfield Using Multi-source Remote Sensing Data[J]. Transactions of Nonferrous Metals Society of China, 2015, 25(10):3421-3428.
[25] 杨春. 地空一体化探测技术在煤田火区监测中的应用研究[D]. 阜新:辽宁工程技术大学, 2012. YANG Chun. Applied Research on Air-ground Integration Detection Technology in Monitoring Coalfield Fire Area[D]. Fuxin:Liaoning Technical University, 2012.
[26] 盛耀彬, 汪云甲, 束立勇. 煤矸石山自燃深度测算方法研究与应用[J]. 中国矿业大学学报, 2008, 37(4):545-549. SHENG Yaobin, WANG Yunjia, SHU Liyong. Investigation of a Method for Calculating the Spontaneous Combustion Depth of A Mine Rock Dump and Its Application[J]. Journal of China University of Mining & Technology, 2008, 37(4):545-549.
[27] JIANG Liming, LIN Hui, MA Jianwei, et al. Potential of Small-baseline SAR Interferometry for Monitoring Land Subsidence Related to Underground Coal Fires:Wuda(Northern China) Case Study[J]. Remote Sensing of Environment, 2011, 115(2):257-268.
[28] 夏清, 胡振琪. 多光谱遥感影像煤火监测新方法[J]. 光谱学与光谱分析, 2016, 36(8):2712-2720. XIA Qing, HU Zhenqi. A Novel Method to Monitor Coal Fires Based on Multi-spectral Landsat Images[J]. Spectroscopy and Spectral Analysis, 2016, 36(8):2712-2720.
[29] HU Zhenqi, XIA Qing. An Integrated Methodology for Monitoring Spontaneous Combustion of Coal Waste Dumps Based on Surface Temperature Detection[J]. Applied Thermal Engineering, 2017, 122:27-38.
[30] TIAN Feng, WANG Yunjia, FENSHOLT Rasmus, et al. Mapping and Evaluation of NDVI Trends from Synthetic Time Series Obtained by Blending Landsat and MODIS Data Around a Coalfield on the Loess Plateau[J]. Remote Sensing, 2013, 5(9):4255-4279.
[31] DÜZGÜN H Ș, DEMIREL N. Remote Sensing of the Mine Environment[M]. Netherlands:CRC Press, 2011.
[32] 杜培军, 郑辉, 张海荣. 欧共体MINEO项目对我国采矿环境影响综合监测的启示[J]. 煤炭学报, 2008, 33(1):71-75. DU Peijun, ZHENG Hui, ZHANG Hairong. Introductionto "MINEO" Project of European Community and Its Enlightenments to Monitoring and Assessment of Environmental Impacts Caused by Mining in China[J]. Journal of China Coal Society, 2008, 33(1):71-75.
[33] 侯湖平, 张绍良. 基于遥感的煤矿区生态环境扰动的监测与评价[M]. 徐州:中国矿业大学出版社, 2013. HOU Huping, ZHANG Shaoliang. Monitoring and Evaluation of Ecological Environment Disturbance in Coal Mining Area Based on Remote Sensing Technology[M]. Xuzhou:China University of Mining and Technology Press, 2013.
[34] 雷少刚. 荒漠矿区关键环境要素的监测与采动影响规律研究[J]. 煤炭学报, 2010, 35(9):1587-1588. LEI Shaogang. Monitoring and Analyzing the Mining Impacts on Key Environmental Elements in Desert Area[J]. Journal of China Coal Society, 2010, 35(9):1587-1588.
[35] 汪云甲, 张大超, 连达军, 等. 煤炭开发的资源环境累积效应[J]. 科技导报, 2010, 28(10):61-67. WANG Yunjia, ZHANG Dachao, LIAN Dajun, et al. Cumulative Effects of Coal Mine Development on Resources and Environment[J]. Science & Technology Review, 2010, 28(10):61-67.
[36] 王行风, 汪云甲, 李永峰. 基于SD-CA-GIS的环境累积效应时空分析模型及应用[J]. 环境科学学报, 2013, 33(7):2078-2086. WANG Xingfeng, WANG Yunjia, LI Yongfeng. Analysis and Assessment Model of Environmental Cumulative Effects Based on the Integration of SD, CA and GIS Methods and Its Application[J]. Acta Scientiae Circumstantiae, 2013, 33(7):2078-2086.
[37] HU Zhenqi, XU Xianlei, ZHAO Yanling. Dynamic Monitoring of Land Subsidence in Mining Area from Multi-source Remote-sensing Data-A Case Study at Yanzhou, China[J]. International Journal of Remote Sensing, 2012, 33(17):5528-5545.
[38] 李恒凯, 吴立新, 刘小生. 稀土矿区地表环境变化多时相遥感监测研究——以岭北稀土矿区为例[J]. 中国矿业大学学报, 2014, 43(6):1087-1094. LI Hengkai, WU Lixin, LIU Xiaosheng. Change Detection of Ground-surface Environment in Rare Earth Mining Area Based on Multi-temporal Remote Sensing:A Case in Lingbei Rare Earth Mining Area[J]. Journal of China University of Mining & Technology, 2014, 43(6):1087-1094.
[39] 谭琨, 叶元元, 杜培军, 等. 矿区复垦农田土壤重金属含量的高光谱反演分析[J]. 光谱学与光谱分析, 2014, 34(12):3317-3322. TAN Kun, YE Yuanyuan, DU Peijun, et al. Estimation of Heavy Metal Concentrations in Reclaimed Mining Soils Using Reflectance Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2014, 34(12):3317-3322.
[40] HUANG Yi, TIAN Feng, WANG Yunjia, et al. Effect of Coal Mining on Vegetation Disturbance and Associated Carbon Loss[J]. Environmental Earth Sciences, 2015, 73(5):2329-2342.
[41] LI Liang, WU Kan, ZHOU Dawei. Extraction Algorithm of Mining Subsidence Information on Water Area Based on Support Vector Machine[J]. Environmental Earth Sciences, 2014, 72(10):3991-4000.
[42] LIN Lixin, WANG Yunjia, TENG Jiyao, et al. Hyperspectral Analysis of Soil Organic Matter in Coal Mining Regions Using Wavelets, Correlations, and Partial Least Squares Regression[J]. Environmental Monitoring and Assessment, 2016, 188(2):97.
[43] 刘善军, 王植, 毛亚纯, 等. 矿山安全与环境的多源遥感监测技术[J]. 测绘与空间地理信息, 2015, 38(10):98-100. LIU Shanjun, WANG Zhi, MAO Yachun, et al. Multi-source Remote Sensing Technology for Monitoring Safety and Environment in Mine[J]. Geomatics & Spatial Information Technology, 2015, 38(10):98-100.
[44] 张锦. 矿山地面灾害精准监测地学传感网系统[J]. 地球信息科学学报, 2012, 14(6):681-685. ZHANG Jin. The Geosensor Networks for Precise Monitoring of Mine Ground Disaster[J]. Journal of Geo-Information Science, 2012, 14(6):681-685.
[45] 何国金, 张兆明, 程博, 等. 矿产资源开发区生态系统遥感动态监测与评估[M]. 北京:科学出版社, 2017. HE Guojin, ZHANG Zhaoming, CHENG Bo, et al. Remote Sensing Dynamic Monitoring and Evaluation Of Ecological System in Mineral Resources Development Area[M]. Beijing:Science Press, 2017.