肖婷   

Professional Title:Lecturer
Supervisor of Master's Candidates

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Language: 中文

Profile

肖婷,女,湖北天门人,地质工程系讲师,硕士生导师,地质工程系研究生一支部书记。

主要从事地质灾害成灾机理及监测预警相关研究,包括:

(1)地学时空大数据挖掘;

(2)区域地质灾害易发性、危险性及风险评价;

(3)地质灾害天空地一体化监测预警。

 

科研项目

国家自然科学基金青年项目:考虑路径依赖特性和孕灾因子时空变异性的滑坡易发性评价,在研,主持;

湖南省自然科学基金青年项目:基于孕灾环境演化的滑坡易发性动态评价方法研究,在研,主持;

湖南省地质灾害监测预警与应急救援工程技术研究中心重点课题:县域尺度斜坡单元危险性评价方法与预警技术,在研,技术负责人;

科技部国家重点研发计划:基于北斗的面场景毫米级三维形变监测关键技术与应用示范,在研,子课题主持;

教育部重点实验室开放基金:湘西红层滑坡灾害风险管控与监测预警方法研究,在研,主持;

中南大学学位与研究生教育教学改革研究项目:科教融合育人视角下的《高等工程地质学》教学模式研究与实践,在研,主持;

科技部国家重点研发计划:地质灾害救援现场次生灾害监测装备研发与预警技术研究,在研,参与;

湖南省地质院科研项目:基于多源地学时空数据分层和降雨致灾机理的滑坡危险性研究,在研,合作单位负责人;

重庆市人力资源和社会保障局项目:三峡库区顺层岩质滑坡时空差异变形及监测预警研究,结题,主持;

重庆市重点实验室开放基金:库区滑坡多源立体监测及灾害预警研究,结题,主持;

湖南省自然资源厅地勘处项目:湖南省近十年地质灾害点成因调查,结题,合作单位负责人;

重庆市规划和自然资源局项目:重庆市地质灾害详细调查与风险评价成果集成项目,结题,参与;

科技部国家重点研发计划:极端条件下的大区域电网设施安全保障技术,结题,参与;

 

代表性论文

第一/通讯作者

l  Ensemble learning for landslide displacement prediction: A perspective of Bayesian optimization and comparison of different time series analysis methods[J]. Stochastic Environmental Research and Risk Assessment, 2024.

l  Temporal and spatial pattern analysis and susceptibility assessment of geological hazards in Hunan Province of China from 2015 to 2022[J]. Stochastic Environmental Research and Risk Assessment, 2024, 38(4): 1453-1474.

l  Quantification of model uncertainty and variability for landslide displacement prediction[J]. Gondwana Research, 2023, 123: 27-40. ESI高被引)

l  Generating soil thickness maps by means of geomorphological-empirical approach and random forest algorithm in Wanzhou County, Three Gorges Reservoir[J]. Geoscience Frontiers, 2023, 14(2): 101514.

l  A frequency ratio–based sampling strategy for landslide susceptibility assessment[J]. Bulletin of Engineering Geology and the Environment, 2022, 81(9): 1-24.

l  A step beyond landslide susceptibility maps: a simple method to investigate and explain the different outcomes obtained by different approaches[J]. Landslides, 2020, 17(3): 627-640.

l  Using complementary ensemble empirical mode decomposition and gate recurrent unit to predict landslide displacements in dam reservoir[J]. Sensors, 2022, 22(4): 1320.

l  Reducing local correlations among causal factor classifications as a strategy to improve landslide susceptibility mapping[J]. Frontiers in Earth Science, 2021: 997.

l  Long-Term and Emergency Monitoring of Zhongbao Landslide Using Space-Borne and Ground-Based InSAR[J]. Remote Sensing, 2021, 13(8): 1578-1592.

l  High-Quality Pixel Selection Applied for Natural Scenes in GB-SAR Interferometry[J]. Remote Sensing, 2021, 13(9): 1617-1632.

l  Spatial prediction of landslide susceptibility using GIS-based statistical and machine learning models in Wanzhou County, Three Gorges Reservoir, China[J]. Acta Geochimica, 2019, 38(5): 654-669.

l  三峡库区万州区滑坡易发性演化规律[J]. 地球科学, 2024.

l  基于长期监测数据与LSTM网络的滑坡位移预测[J]. 信号处理, 2022, 38(01): 19-27. (高被引)

l  指标因子局部高相关性对滑坡易发性评价精度影响研究[C]//.第十五届全国信号和智能信息处理与应用学术会议论文集, 2022: 13-18.

l  三峡库区四方碑滑坡稳定性与变形趋势预测[J]. 中国地质灾害与防治学报, 2018, 29(1): 1-6.

其他作者

l  Dynamic prediction of landslide life expectancy using ensemble system incorporating classical prediction models and machine learning[J]. Geoscience Frontiers, 2023: 101758.

l  Deformation triggers and stability evolution of landslide from multiple observations[J]. Frontiers in Ecology and Evolution, section Environmental Informatics and Remote Sensing, 2023.

l  A physics-informed data-driven model for landslide susceptibility assessment in the Three Gorges Reservoir Area[J]. Geoscience Frontiers, 2023: 101621.

l  Analytical model for reinforcement effect and load transfer of pre-stressed anchor cable with bore deviation[J]. Construction and Building Materials, 2023, 379: 131219.

l  Experimental investigation on near-field edge wave run-ups generated by landslides in narrow reservoirs. Geological Journal, 58(6): 2268-2282.

l  Machine learning with a susceptibility index-based sampling strategy for landslide susceptibility assessment[J]. Geocarto International, 2022, 37(27): 15683-15713.

l  Different approaches to use morphometric attributes in landslide susceptibility mapping based on meso-scale spatial units: A case study in Rio de Janeiro (Brazil)[J]. Remote Sensing, 2020, 12(11), 1826.

l  Annual variation of landslide stability under the effect of water level fluctuation and rainfall in the Three Gorges Reservoir, China[J]. Environmental Earth Sciences, 2017, 76: 564-581.

l  基于机器学习的长沙市滑坡灾害快速风险评价[J]. 矿冶工程, 2023, 43(05): 26-36.


Educational Background

  • 2018.10-2019.10  

    University of Florence       Geological Engineering       博士联合培养       博士联合培养

  • 2015.9-2020.6  

    中国地质大学(武汉)       地质工程       Postgraduate (Doctoral)       Doctoral degree

  • 2011.9-2015.6  

    中国地质大学(武汉)       地质工程       University graduated       Bachelor's degree

Work Experience

  • 2022.6-Now

    中南大学      地球科学与信息物理学院 地质工程系      讲师

  • 2020.7-2022.5

    北京理工大学      信息与电子学院      博士后

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