[1]
|
中国风景园林学会.T/CHSLA 50002—2018黄淮海平原采煤沉陷区生态修复技术标准[S].北京:中国建筑工业出版社,2019.Chinese Society of Landscape Architecture.T/CHSLA 50002-2018 Technical Standard for Ecological Restoration in Coal Mining Subsidence Area of Huang-Huai-Hai Plain[S].Beijing:China Architecture and Building Press,2019.
Google Scholar
|
[2]
|
国家安全监管总局,国家煤矿安监局,国家能源局,等.建筑物、水体、铁路及主要井巷煤柱留设与压煤开采规范[S].2017.State Administration of Work Safety,National Coal Mine Safety Supervision Bureau,National Energy Administration,et al.Specification for Coal Pillar Retention and Coal Mining in Buildings,Water Bodies,Railways,and Main Tunnels[S].2017.
Google Scholar
|
[3]
|
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,1991.He G Q,Yang L,Ling G D,et al.Mining Subsidence Learning[M].Xuzhou:China University of Mining and Technology Press,1991.
Google Scholar
|
[4]
|
郭广礼. 老采空区上方建筑地基变形机理及其控制[M].徐州:中国矿业大学出版社,2001.Guo G L.Mechanism and Control of Deformation of Building Foundation Above the Old Goaf[M].Xuzhou:China University of Mining and Technology Press,2001.
Google Scholar
|
[5]
|
邓喀中,谭志祥,姜岩,等.变形监测及沉陷工程学[M].徐州:中国矿业大学出版社,2014.Deng K Z,Tan Z X,Jiang Y,et al.Deformation Monitoring and Settlement Engineering[M].Xuzhou:China University of Mining and Technology Press,2014.
Google Scholar
|
[6]
|
谢晓龙. 采空老区地表变形及沉陷机理研究[D].合肥:合肥工业大学,2010.Xie X L.Ground Deformation and Subsidence Mechanism of Old Mining Area[D].Hefei:Hefei University of Technology,2010.
Google Scholar
|
[7]
|
张永波. 老采空区建筑地基稳定性及其变形破坏规律的研究[D].太原:太原理工大学,2005.Zhang Y B.Research on the Stability of Building Foundation Above Old Mine Goafs and Its Damage Regula[D].Taiyuan:Taiyuan University of Technology,2005.
Google Scholar
|
[8]
|
栾长青. 采空区的沉陷机理及地表变形破坏的时空预测研究[D].西安:长安大学,2005.Luan C Q.Study on the Subsidence Mechanism of Goaf and Spatiotemporal Prediction of Surface Deformation and Failure[D].Xi'an:Chang'an University,2005.
Google Scholar
|
[9]
|
王旭春,岳著文,管晓明.深部走向长壁开采地表移动数值模拟[J].水文地质工程地质,2012,39(6):108-113.
Google Scholar
Wang X C,Yue Z W,Guan X M.Numerical simulation of surface movement under long-wall mining condition in deep areas[J].Hydrogeology & Engineering Geology,2012,39(6):108-113.
Google Scholar
|
[10]
|
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 .Guo W B,Deng K Z,Zou Y F.Artificial neural network model for predicting parameters of probability-integral method[J].Journal of China University of Mining & Technology,2004,33(3):322-326.
Google Scholar
|
[11]
|
Gabriel A K,Goldstein R M.Crossed orbit interferometry:theory and experimental results from SIR-B[J].International Journal of Remote Sensing,1988,9(5):857-872.
Google Scholar
|
[12]
|
李达,邓喀中,高晓雄,等.基于SBAS-InSAR的矿区地表沉降监测与分析[J].武汉大学学报:信息科学版,2018,43(10):1531-1537.
Google Scholar
Li D,Deng K Z,Gao X X,et al.Monitoring and analysis of surface subsidence in mining area based on SBAS-InSAR[J].Geomatics and Information Science of Wuhan University,2018,43(10):1531-1537.
Google Scholar
|
[13]
|
彭鹏,杨红磊.基于改进相干点目标技术的阜阳市地面沉降调查[J].中国地质调查,2016,3(4):63-68.
Google Scholar
Peng P,Yang H L.Study of land subsidence monitoring based on an improved coherent point target technology in Fuyang City[J].Geological Survey of China,2016,3(4):63-68.
Google Scholar
|
[14]
|
高思远. 基于Sentinel-1数据的PS-InSAR技术在金沙江白格滑坡监测中应用研究[D].北京:中国水利水电科学研究院,2019.Gao S Y.Research on the Application of PS-InSAR Based on Sentinel-1 Data In Monitoring of Baige Landslide in Jinsha River[D].Beijing:China Institute of Water Resources and Hydropower Research,2019.
Google Scholar
|
[15]
|
汤志刚,景佳俊,颜士顺,等.基于InSAR监测数据的石膏矿采空塌陷特征分析——以邳州平台矿和希州矿为例[J].中国地质调查,2020,7(4):112-117.
Google Scholar
Tang Z G,Jing J J,Yan S S,et al.Analysis of gob collapse characteristics in gypsum mine based on InSAR monitoring data:A case study of Pizhou Pingtai and Xizhou mine[J].Geological Survey of China,2020,7(4):112-117.
Google Scholar
|
[16]
|
张洋. 沛北矿区地表沉降InSAR 监测研究[D].徐州:中国矿业大学,2016.Zhang Y.Study on the Ground Subsidence Monitoring in Peibei Mining Area with InSAR Technology[D].Xuzhou:China University of Mining and Technology,2016.
Google Scholar
|
[17]
|
中华人民共和国住房和城乡建设部.GB 51044—2014 煤矿采空区岩土工程勘察规范(2017年版)[S].北京:中国计划出版社,2017.Ministry of Housing and Urban-Rural Development of the People's Republic of China.GB 51044-2014 Code for Investigation of Geotechnical Engineering in the Coal Mine Goaf (2017)[S].Beijing:China Planning Press,2017.
Google Scholar
|
[18]
|
王勇. 徐州矿区地表移动观测与参数的求取[J].矿山测量,2013(4):79-81.
Google Scholar
Wang Y.Observation of surface movement and parameter determination in Xuzhou mining area[J].Mine Surveying,2013(4):79-81.
Google Scholar
|
[19]
|
范雪婷,李明巨,张大骞,等.基于多主影像相干目标小基线InSAR技术的无锡市地表沉降监测[J].现代测绘,2018,41(3):1-5.
Google Scholar
Fan X T,Li M J,Zhang D Q,et al.Monitoring of surface subsidence in Wuxi City with MCTSB-InSAR method[J].Modern Surveying and Mapping,2018,41(3):1-5.
Google Scholar
|
[20]
|
张永红,吴宏安,康永辉.京津冀地区1992—2014年三阶段地面沉降InSAR监测[J].测绘学报,2016,45(9):1050-1058.
Google Scholar
Zhang Y H,Wu H A,Kang Y H.Ground subsidence over Beijing-Tianjin-Hebei Region during three periods of 1992 to 2014 monitored by interferometric SAR[J].Acta Geodaetica et Cartographica Sinica,2016,45(9):1050-1058.
Google Scholar
|