周大伟
发布时间:2017-06-09   浏览次数:

l基本信息

姓名:周大伟

性别:男

出生年月: 198411

籍贯:河南驻马店

民族:汉

政治面貌:中共党员

学历:研究生

学位:博士

职称:副教授

导师类别:硕士生导师

Emaildwzhou2008@cumt.edu.cn

工作单位:中国矿业大学环境与测绘学院

邮政编码:221116

通讯地址:江苏省徐州市大学路1号中国矿业大学南湖校区环境与测绘学院

研究方向:3D Laser Scanner/UVA/InSAR技术在矿区变形监测中的应用,矿区开采损害及防护;“三下”采煤;采空区地基稳定性评价;变形监测及数据处理

l教育与学历

2015.06-2016.06

访问学者/博士后

亚琛工业大学,德国

2015.03-2017.03

师资博士后

深部岩土力学与地下工程国家重点实验室;

中国矿业大学

2011.09-2014.12

大地测量学与测量工程博士

中国矿业大学

2008.09-2011.06

矿山沉陷控制硕士

中国矿业大学

2004.09-2008.06

测绘工程学士

中国矿业大学

l工作经历

2019.01-至今     中国矿业大学环境与测绘学院 副教授

2017.04-2018.12  中国矿业大学环境与测绘学院 讲师

2015.03-2017.03  中国矿业大学采矿工程师资博士后

l社会、学会或学术兼职

地理信息产业协会教育委员会委员

l期刊论文

2019

Zhou Dawei, Wu Kan, Bai Zhihui, Hu Zhenqi, Li Liang, Xu Yuankun, DiaoXinpeng, (2019), Formation and development mechanism of ground crack caused by coal mining: effects of overlying key strata[J]. Bulletin of Engineering Geology and the Environment, 2019,78 (2): 1025–1044.

Sen Du, Yunjia Wang, Meinan Zheng, Dawei Zhou, and Yuanping Xia. (2019) Goaf Locating Based on InSAR and Probability Integration Method[J]. Remote Sens. (doi:10.3390/rs11070812)

Yuankun Xu, Kan Wu, Liang Li, Dawei Zhou, Zhenqi Hu. (2019) Ground cracks development and characteristics of strata movement under fast excavation: a case study at Bulianta coal mine, China[j]. Bulletin of Engineering Geology and the Environment (2019) 78:325–340.

2018

Dawei ZhouKan WuXiexing, (2018). Combined prediction model for mining subsidence in coal mining areas covered with thick alluvial soil layer [J]. Bulletin of Engineering Geology and the Environment,2018(1):283-304.

2017

Liang Li, Kan Wu, Zhenqi Hu, Yuankun Xu, Dawei Zhou. (2017) Analysis of developmental features and causes of the ground cracks induced by oversized working face mining in an Aeolian sand area[J].Environ Earth Sci (2017) 76:135

2016

Dawei ZhouKan WuLiang LiXinpengDiaoXianshen Kong. A new methodologyfor studying the spreading process of mining subsidence in rock mass andalluvial soil: an example from the Huainan coal mine, China [J]. Bulletin ofEngineering Geology and the Environment, 75(3):1067-1087.

Dawei Zhou, Kan Wu, Liang Li, Jingwu Yu, (2016). Impact of thick alluvial soilon a fractured water-conducting zone: an example from Huainan coal mine, China[J]. Journal of the Southern African Institute of Mining and Metallurgy.116(5):431-440.

Li Liang, Wu kan, ZhouDawei, (2016). Evaluation theory and application of foundationstability of new buildings over an old goaf using longwall mining technology.Environmental Earth Sciences. Vol75:763-772.

Diao, X.P., Wu, K., Zhou,D.Z., & Li, L. (2016). Integrating the probability integral method for subsidence prediction and differential synthetic aperture radarinterferometry for monitoring mining subsidence in Fengfeng, China. Journal ofApplied Remote Sensing, 10(1), 016028-016028.

2015

Wu, K., Cheng, G. L., &Zhou,D. W. (2015). Experimental research on dynamic movement in strataoverlying coal mines using similar material modeling. Arabian Journal ofGeosciences, 8(9), 6521-6534.

吴雪茜,周大伟,安士凯,陆春辉,淮南潘谢矿区土地与水域演变趋势及治理对策[J].煤炭学报,201512):2927-2932.EI检索)

2014

Dawei Zhou, Kan Wu, Ranli Chen, Liang Li. GPS and Terrestrial 3D laser scannercombined monitoring technology for coal mining subsidence  a case study of acoal mining area in Hebei, China[J]. Natural Hazards, 2014(70):11971208. (SCI,IF=1.958)

Dawei Zhou, Kan Wu, Gonglin Cheng, Liang Li. Mechanism of mining subsidence incoal mining area with thick alluvium soil in China [J]. Arab J Geosci,2014, DOI 10.1007/s12517-014-1382-2. (SCI , IF=1.152).

Liang Li, Kan Wu, DaweiZhou. Extraction Algorithm of Mining Subsidence Information on WaterArea Based on Support Vector Regression Machine [J]. Environmental EarthSciences, 2014, DOI 10.1007/s12665-014-3288-4 (SCIIF=1.572).

Liang LI, Kan Wu, DaWeiZhou. AutoCAD-Based 3D Dynamic Ground Movement Calculated Method forUnderground Mining [J]. International Journal of Rock Mechanics &MiningSciences, 2014(71): 194203(SCIIF=1.424).

ZHOU Dawei, WU Kan, AO Jianfeng, LI Ru. Field Research on Mining SubsidenceBased on Terrestrial 3D laser scanning technology and RTK. The 2ndInternational Conference on Information Engineering and Computer Science,Wuhan, China, 2010:579-582. (EI).

2013

周大伟,吴侃,刁新鹏,等. 测量误差对概率积分参数精度影响 [J]. 辽宁工程技术大学学报(自然科学版),2013,32(3):316-320.

周大伟, 安士凯,等. 概率积分参数选取的主成分回归分析 [J]. 辽宁工程技术大学学报(自然科学版), 2013, 32(11):1528-1531.

2011

周大伟,吴侃,等. 地面三维激光扫描与RTK相结合建立开采沉陷观测站 [J].测绘科学, 2011, 36(03):79-81.

周大伟,吴侃,等. 点云密度对地面三维激光扫描精度及沉陷参数的影响 [J]. 金属矿山, 2011, 423(09):127-130.

l项目

1. 东部煤炭开采沉下机理及地质环境响应机制,江苏省高校研究生科研创新计划项目,立项无资助,2013-2014CXLX13_945

2. 东部煤炭开采沉陷特性机理及适应的预测方法研究,江苏省自然科学基金青年基金项目,20万,2015/7~2018/6BK20150187

3. 固体充填开采充填体与覆岩移动的交互影响研究,国家自然科学基金青年基金,20万,2017/1~2019/1251604266

4. 采动影响下埋地管线-土体的协同变形机理及调控,中央高校基本科研业务费项目,10万,2017/1~2019/1220177968

5. 采煤沉陷区埋地燃气管线不开挖监测与治理技术研究,企业委托项目,28.5万,2017-2018

l专利获奖

2014,安徽省科学技术奖(Ⅲ, R2

2011,中国煤炭工业科技进步奖(Ⅲ, R7);

2014,安徽省淮南市科学技术进步奖(Ⅲ, R2);

2012年度江苏省优秀硕士论文。

2012全国博士学术论坛(测绘科学与技术)优秀报告奖

2011年校优秀硕士学位论文;

2011年全国矿山测量新技术优秀论文奖;

l出版专著和教材

周大伟,安世凯,吴侃,徐翀,李亮. 厚冲积层矿区开采沉陷机理及预测方法,徐州:中国矿业大学出版社,2016

l专利

徐翀,吴侃,安世凯,周大伟,陈永春,李亮,陆春辉. 一种后冲积层矿区开采沉陷获取方法, 国家发明专利, 专利号:ZL 201410083815.0