陈蓓蓓
近期热点
资料介绍
个人简历
教育与工作背景2016-至今 首都师范大学资源环境与旅游学院 副教授2019.7-10 澳大利亚 CSIRO Land and Water 访问学者2012 -2015 首都师范大学资源环境与旅游学院 讲师2012 -2014 首都师范大学数学科学学院 博士后2007 -2012 首都师范大学资源环境与旅游学院 硕博专著北京市典型地区地面沉降演化过程与机理分析,中国环境出版社.遥感图像处理实习教程,测绘出版社主要科研项目北京市卓越青年科学家计划(2019-2023),主持北京市优秀人才培养资助青年拔尖(2020-2022),主持北京市自然科学基金面上,新水情背景下京津高铁沿线地面沉降演化机制及调控方法(2018-2020),主持国家自然科学基金青年,地下水流场稳定区动静载荷差异模式下地面沉降响应机理(2015-2017),主持北京市教委科研计划面上,浅地表空间利用差异模式下的地面沉降演化机制(2015-2017),主持国家自然科学基金重点,京津冀典型区地下空间演化与地面沉降响应机理研究(2020-2024),主要参与国家自然科学基金面上,南水进京背景下地面沉降演化机理(2018-2021),主要参与国家自然科学基金重点,北京地区地面沉降三维形变及演化机理研究(2012-2016),主要参与国家自然科学基金面上,地下水降落漏斗区动静载荷演化诱发地面沉降机理研究(2012-2015),主要参与973计划课题,城市典型区域不均匀沉降信息获取与机理研究(2012-2014),主要参与教学情况本科生:遥感原理与方法、电子地图设计与应用研究生:地面沉降监测理论与方法获奖情况区域地面沉降多尺度多场耦合模式与应用示范(1),中国地理信息科技进步一等奖,2018北京市地面沉降监测研究及新航城数值模拟(6),北京水利科技进步一等奖,2018北京地面沉降高精度监测关键技术及重大工程应用(7),国土资源科技二等奖,2017京津冀地面沉降多元场耦合模型与调控机制研究(8),北京市科技进步一等奖,2016北京地区地面沉降监控关键技术及其工程应用(11),北京市科学技术进步一等奖,2011发明专利一种基于多源监测技术融合的地面沉降集成监测方法(ZL 2017 1 0733640.7),2019一种表述地面沉降空间演化趋势的方法(ZL 2015 1 0549479.9),2018一种改进的地形辐射校正方法(ZL 2015 1 0566706.9),2018研究领域
时序InSAR技术、区域地面沉降与地下水、遥感与地理信息系统地学应用""近期论文
Chen B, Gong H, Chen Y, et al. Investigating land subsidence and its causes along Beijing high-speed railway using multi-platform InSAR and a maximum entropy model. International Journal of Applied Earth Observation and Geoinformation, 96(2021)102284.Chen B, Gong H, Chen Y, et al. Land subsidence and its relation with groundwater aquifers in Beijing Plain of China[J]. Science of The Total Environment, 2020, 735:139111.Zhao X, Chen B, Gong H, et al. Land subsidence along the Beijing–Tianjin Intercity Railway during the period of the South-to-North Water Diversion Project[J]. International Journal of Remote Sensing, 2020, 41(12):4447-4469.Li F, Gong H, Chen B, et al. Analysis of the Contribution Rate of the Influencing Factors to Land Subsidence in the Eastern Beijing Plain, China Based on Extremely Randomized Trees (ERT) Method[J]. Remote Sensing, 2020, 12(18):2963.Shi L, Gong H, Chen B, et al. Land Subsidence Prediction Induced by Multiple Factors Using Machine Learning Method. Remote Sensing,2020, 12(24), 4044.Liu L, Yu J, Chen B, et al. Urban subsidence monitoring by SBAS-InSAR technique with multi-platform SAR images: a case study of Beijing Plain, China[J]. European Journal of Remote Sensing, 2020:1-13.Yu H, Gong H, Chen B, et al. Analysis of the influence of groundwater on land subsidence in Beijing based on the geographical weighted regression (GWR) model[J]. Science of The Total Environment, 2020, 738:139405.Zhou C, Gong H, Chen B, et al. Land Subsidence Response to Different Land Use Types and Water Resource Utilization in Beijing-Tianjin-Hebei, China[J]. Remote Sensing, 2020, 12(3):457.Chen B, Gong H, Lei K, et al. Land subsidence lagging quantification in the main exploration aquifer layers in Beijing plain, China[J]. International Journal of Applied Earth Observation & Geoinformation, 2019, 75:54-67.Zuo J, Gong H, Chen B, et al. Time-series evolution patterns of land subsidence in the Eastern Beijing Plain, China[J]. Remote Sensing, 2019, 11(5).Zhou C, Gong H, Chen B, et al. Quantifying the contribution of multiple factors to land subsidence in the Beijing Plain, China with machine learning technology[J]. Geomorphology, 2019, 335(JUN.15):48-61.Min S, Chen B, et al. Monitoring Differential Subsidence along the Beijing-Tianjin Intercity Railway with Multiband SAR Data.[J]. International journal of environmental research and public health, 2019, 16(22).Luo Y, Chen B, Lei K, et al. Optimum design of level monitoring points for land subsidence[J]. Bulletin of Engineering Geology and the Environment, 78,5135-5146(2019).曹群, 陈蓓蓓, 宫辉力等. 基于SBAS和IPTA技术的京津冀地区地面沉降监测[J]. 南京大学学报(自然科学), 2019(3):381-391.张晓婧,陈蓓蓓,雷坤超,等. 京津高铁沿线地面沉降特征(北京段)[J].国土资源遥感,2019,31(1) : 171-179.Si Y, Chen B, Gong H, et al. Temporal and Spatial Evolution of Land Subsidence Induced by Groundwater Exploitation and Construction in the Eastern Chaoyang District, Beijing, China[J]. Journal of the Indian Society of Remote Sensing, 2018,46,1657-1665(2018).Gao M, Gong H, Chen B, et al. Regional Land Subsidence Analysis in Eastern Beijing Plain by InSAR Time Series and Wavelet Transforms, Remote Sensing, 2018, 10(3): 365.Zhou C, Gong H, Chen B, et al. InSAR Time-Series Analysis of Land Subsidence under Different Land Use Types in the Eastern Beijing Plain, China[J]. Remote Sensing, 2017, 9(4):380.Chen B, Gong H, Li X, et al. Characterization and causes of land subsidence in Beijing, China[J]. International Journal of Remote Sensing, 2017.Chen W, Gong H, Chen B, et al. Spatiotemporal evolution of land subsidence around a subway using InSAR time-series and the entropy method[J]. GIScience & Remote Sensing, 2017, 54(1):1-17. 相关热点
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