The ground surface subsidence due to underground mining of mineral resources is a kind of serious environmental issues over the world, which all the countries with abundant mineral resources are currently confronted with. China is not an exception. With the sharp increasing in mineral resources consumption, this issue will inevitably become more and more severe in the future. In order to greatly reduce the damages induced by ground surface subsidence to the infrastructures and natural environment, it is very important to predict the ground surface subsidence precisely. In the present paper, the authors, first of all, made a systematic and comprehensive analysis on the characteristics and applicability of the major ground subsidence prediction methods currently used at home and abroad. Then, according to their applicability, the authors suggested that the major ground subsidence prediction methods should be divided in to two categories:(1) the prediction methods on spatial domain distribution; (2) the prediction methods on the temporal domain variation. In addition, several feasible and significant directions in the investigation of the ground subsidence prediction were put forward, including (1) on the ground prediction under the concrete circumstances of geology and mining; (2) on the unification problem for the spatial distribution and the temporal variation in the prediction of the ground surface subsidence; and (3) on the integration problem of ground temporal subsidence prediction and field monitoring. Finally, the authors conducted the prospect on the prediction of ground surface subsidence, in which the cooperation and supplement between the prediction methods of ground surface subsidence and the advanced modern space Earth observation monitoring techniques, such as Interferometric Synthetic Aperture Radar and Global Positioning System were emphasized and expected to substantially improve the prediction accuracy of ground surface subsidence and utmost reduce the damages induced by underground mining of mineral resources. Along with the continuously increasing demands for mineral resources, the investigation on ground surface subsidence prediction is expected to play a more important role in the protection of ground surface facilities and natural environments in the future.
[1] 阮煜琳. 中国一半省份存在地面沉降[J]. 共产党员,2009(15):52.
[2] C. T. 阿维尔申. 煤矿地下开采的岩层移动[M]. 北京:煤炭工业出版社,1959.
[3] National Coal Board Mining Dept. Subsidence Engineers Handbook[M]. National Coal Board, London, 1965.
[4] Kratzsch H. Mining Subsidence Engineering [M]. Fleming R F S (Trans.). Springer-Verlag,1983,186-191.
[5] 王世道. 有关负指数函数法的几个问题 [J]. 矿山测量,1981(1):78-87.
[6] Litwiniszyn J. Przemieszczenia gorotworu. ws wietle teorii prawdopodobienstwa[J]. Arch. Gor. Hut. T. II,1954(1):45-68.
[7] 刘宝探, 廖国华. 煤矿地表移动的基本规律[M]. 北京:中国工业出版社,1965.
[8] Oravecz K I. Improved Prediction of Surface Subsidence Using the Infuence Function Approach . Sangorm Symposium,1986:The Effect of Underground Mining on Surface,1986,73-80.
[9] 沈光寒,李白英,吴戈.矿山特殊开采理论与实践[M].北京:煤炭工业出版社,1991.
[10] 何国清,杨 伦,凌赓娣,等. 矿山开采沉陷学[M]. 徐州:中国矿业大学出版社,1994.
[11] 戴华阳,王金庄. 非充分开采地表移动预计模型[J]. 煤炭学报, 2003, 28(6) :583-587.
[12] 郭增长,卢小平. 地表移动和变形的增量计算方法[J]. 矿山测量, 2003(3):12-14.
[13] 郭文兵,邓喀中,邹友峰. 概率积分法预计参数选取的神经网络模型[J]. 中国矿业大学学报,2004,33(3) :322-326.
[14] 查剑锋,郭广礼,赵海涛,等. 概率积分法修正体系现状及发展展望[J].金属矿山,2008(1):15- 18.
[15] Nicieza C G, Fernndez M I A, Díaz A M, Vigil A E A. The New Three-dimensional Subsidence Influence Function Denoted by n-k-g[J]. International Journal of Rock Mechanics and Mining Sciences, 2005( 42):372-387.
[16] 高本庆. 时域有限差分法[M] . 北京:国防工业出版社,1995.
[17] Alejano L R, Ramirez-Oyanguren P, Taboada J, Odriguez R. Numerical Prediction of Subsidence Phenomena Due to Flat Coal Seam Mining[J]. International Journal of Rock Mechanics and Mining Sciences, 1998 (35):440-441.
[18] Itasca Consulting Group, Inc. FLAC3D Theory and Background[M], Minneapolis, Minnesota, USA, 2002.
[19] Xie Heping, Chen Zhonghui, Wang Jiachen. Three-dimensional Numerical Analysis of Deformation and Failure during Top Coal Caving[J].International Journal of Rock Mechanics and Mining Sciences, 1999,(36):651-658.
[20] Knothe S. Time Influence on a Formation of a Subsidence Surface[J]. Archiwum Górnictwai Hutnictwa, Kraków (in Polish). 1952, 1(1):120-132.
[21] 常占强,王金庄. 关于地表点下沉时间函数的研究-"改进的克诺特时间函数"[J].岩石力学与工程学报,2003,22(9):1496-1499.
[22] Kwinta A, Hejmanowski R, Sroka A. A Time Function Analysis Used for the Prediction of Rock Mass Subsidence[M]. // Gui Yuguang, Golosinski T S (eds.). Mining Science and Technology. Balkema A A. Rotterdam, Brookfield, 1996,419-424.
[23] 徐洪钟,李雪红.基于Logistic 增长模型的地表下沉时间函数[J].岩土力学,2005,26(Supp.):151-153.
[24] 王金庄,李永树,周雄,等.巨厚松散层下采煤地表移动规律的研究[J].煤炭学报,1997,22(1):18-21.
[25] 李凤明.厚冲积层矿区地表移动参数的特点及数值模拟[J]. 辽宁工程技术大学学报(自然科学版),2001,20(1):535-537.
[26] 架元重,贾维花. 厚冲积层下开采地表移动分析[J]. 矿山压力与顶板管理,2001(3):81-82.
[27] 常占强,王金庄. 厚松散层弯曲下沉空间问题研究[J].矿山测量,2003(3):36-39.
[28] 何万龙,康建荣. 山区地表移动与变形规律研究[J]. 煤炭学报,1992,17(4):10-15.
[29] 杨伦,于广明,王艳春,等. 地形条件对采动建筑物的影响[J]. 矿山l测量,1994(1):40-44.
[30] 李文秀. 山区岩层移动的Fuzzy预测模型[J]. 辽宁工程技术大学学报(自然科学版),2001,20(5):688-691.
[31] 尹光志,鲜学福,代高飞,等. 大倾角煤层开采岩移基本规律的研究[J]. 岩土工程学报.2001,23(4):450-453.
[32] Dai Huayang, Wang Jinzhuang, Cai Meifeng. Seam Dip Angle Based Mining Subsidence Model and Its Application[J]. International Journal of Rock Mechanics & Mining Sciences, 2002(39):115-123.
[33] 曹阳,颜荣贵,贺跃光,等. 崩落法开采急倾斜矿床地表变形预测新方法[J].矿冶工程,2002, 22(4):5-8.
[34] 何荣, 郭增长,李春意.大采深极不充分开采地表移动和变形规律实测研究[J]. 河南理工大学学报(自然科学版),2008,27(1):14-17.
[35] 刘天泉"三下一上"采煤技术的现状及展望[J]. 煤炭科学技术 1995. 23(1):5-7.
[36] Cui X M, Miao X X, Wang J A. Improved Prediction of Differential Subsidence Caused by Underground Mining[J]. International Journal of Rock Mechanics and Mining Sciences,2000(37):615-627.
[37] 李德仁,周月琴,马洪超. 卫星雷达干涉测量原理与应用[J]. 测绘科学, 1998,25(1):9-14.
[38] 张景发,邵 芸. 干涉成像雷达技术及其应用现状[J]. 地震地质,1998,20(3):278-288.
[39] 王超,张红,刘智. 星载合成孔径雷达干涉测量[M]. 北京:科学出版社,2002.
[40] Strozzi T, Wegmüller U, Werner C, Andreas Wiesmann A. JERS SAR Interferometry for Land Subsidence Monitoring[J]. IEEE Transactions on Geoscience and Remote Sensing, 2003, 41(7):1702-1703.
[41] 吴立新,高均海,葛大庆,等. 工矿区地表沉陷D-InSAR监测试验研究[J]. 东北大学学报(自然科学版),2005,26(8):778-781.
[42] 刘国林,张连蓬,成枢,等. 合成孔径雷达干涉测量与全球定位系统数据融合监测矿区地表沉降的可行性分析[J]. 测绘通报,2005(11):10-17.
[43] 张振生,孟 昆,谷延群. D-InSAR技术在矿山沉陷和地面沉降监测中的应用[J]. 华北地震科学,2006, 24(3):47-51.
[44] Chang Zhanqiang, Gong Huili, Zhang Jingfa, Gong Lixia. A Feasible Approach for Improving Accuracy of Ground Deformation Measured by D-InSAR[J]. Journal of China University of Mining & Technology, 2007,17(2):263-267.
[45] Hahn Chul Jung, Sang-Wan Kim, Hyung-Sup Jung. Satellite Observation of Coal Mining Subsidence by Persistent Scatterer Analysis[J]. Engineering Geology, 2007,(92):1-13.
[46] 王行风,汪云甲,杜培军. 利用差分干涉测量技术监测煤矿区开采沉陷变形的初步研究[J]. 中国矿业. 2007, 16(7):77-80.
[47] 张景发,郭庆十,龚利霞. 应用InSAR技术测量矿山沉降与变化分析——以河北武安矿区为例[J]. 地球信息科学,2008,10(5):651-657.
[48] 邓喀中,姚宁,卢正,等. D-InSAR监测开采沉陷的实验研究[J]. 金属矿山. 2009(12):25-28.
