基本信息:
吴益平,中国地质大学(武汉)教授,博导,中国地质学会第十二届青年地质科技奖金锤奖获得者,中国地质灾害研究会委员、《地质科技通报》和《水电能源科学》编委、湖北省地质灾害防治专家。作为课题负责和技术骨干先后参加了有关黄河流域、长江流域和全国地质灾害等一系列重大的区域环境工程地质问题的科研项目60余项,主持国家自然科学基金项目3项,是国家重点基础研究发展计划(973)项目、国家科技支撑计划和国家重点研发计划课题的主要成员。获国家科技进步二等奖2项、省部级科技进步一等奖4项,三峡工程移民科研优秀成果奖1项,在《Landslides》、《Engineering Geology》、《Stochastic Environmental Research and Risk Assessment》、《岩石力学与工程学报》、《岩土力学》、《地球科学》等国内外知名期刊上发表论文110余篇,其中SCI/EI检索论文五十余篇。深入开展滑坡机理研究,在区域与单体相结合、时间与空间相结合、演化阶段判识与风险预警相结合的滑坡灾害预测预警方面取得了一系列创新成果。主讲课程:《工程地质学基础》、《岩土工程勘察》、《地质灾害分析与防治》、《地质灾害风险分析与预警预报》和《地质灾害预测预报》,获得中国地质大学第二届优秀青年教师奖、第五届“研究生的良师益友”,是国家一流课程、国家精品课程、国家视频公开课、国家资源共享课主讲教师。
教育工作经历:
(1) 2008-12 至 今, 中国地质大学(武汉), 华人策略celue, 教授;
(2)2003-12 至 2008-11, 中国地质大学(武汉), 华人策略celue, 副教授;
(3)2006-10 至 2007-09, 布达佩斯技术与经济大学, 土木华人策略celue, 访问学者;
(4) 2003-02 至 2005-05, 中科院武汉岩土力学研究所,博士后;
(5)1999-07 至 2003-11, 中国地质大学(武汉), 华人策略celue, 讲师;
(6)1993-07 至 1999-06, 中国地质大学(武汉), 华人策略celue, 助教;
(7)1998-09 至 2001-06, 中国地质大学(武汉), 地质工程, 博士;
(8)1994-09 至 1997-06, 中国地质大学(武汉), 环境地质, 硕士;
(9)1989-09 至 1993-06, 中国地质大学(武汉), 水文地质工程地质, 学士。
研究方向:
(1) 地质灾害预测预报;
(2)地质灾害机理与防治;
(3)地质灾害气象预警;
(4)地质安全与灾害应急。
科研奖励:
(1)中国地质学会第十二届青年地质科技奖金锤奖,2010年;
(2)国家科技进步二等奖,重大工程滑坡动态评价、监测预警与治理关键技术, 2019年,排名第6;
(3)国家科技进步二等奖,基于演化过程的滑坡地质灾害防控技术与应用,2013年,排名第7;
(4)湖北省科技进步一等奖,重大工程滑坡灾变过程控制方法与关键技术,2016年,排名第3;
(5)湖北省科技进步一等奖,斜坡地质灾害预测与防治的工程地质研究,2011年,排名第4;
(6)湖北省科技进步一等奖,三峡库区近水平地层滑坡形成机制与滑坡涌浪风险预测研究, 2009年,排名第4;
(7)湖北省科技进步一等奖,三峡工程库区巴东县新城区地质灾害试验场建立与综合示范研究, 2003年,排名第4;
(8)国务院三峡工程移民科研优秀成果,三峡工程库区巴东县新城区地质灾害预测防治与综合示范研究,2010年,排名第2;
(9)湖北省湖北发展研究三等奖,长江三峡巴东库段地质灾害评价与防灾减灾决策系统研究, 2009年,排名第3。
教学获奖:
(1)完成“工程动力地质现象破坏过程动态模拟” CAI课件,湖北省优秀课件,2002年,排名第3;
(2)中国地质大学第二届青年教师优秀教学奖,2002年;
(3)完成“岩土工程勘查”网络课件获湖北省优秀课件一等奖,2005年;
(4)国家精品课程《工程地质学基础》主讲教师之一,2007年;
(5)工程地质国家级教学团队主要成员,2009年;
(6)国家视频公开课《地质灾害预测与防治》主讲教师之一,2012年;
(7)国家资源共享课《工程地质学基础》主讲教师之一,2013年;
(8)第五届研究生良师益友获得者,2015年;
(9)“三观三型”地质工科人才培养模式研究与实践,湖北省教学成果一等奖,2018年,排名第4;
(10)工程地质学基础,国家级一流本科课程,2020年,排名第2。
代表性科研项目:
(1)国家重点研发计划课题:复杂动力学场景的地质灾害与国土空间交互作用规律,2023/11/01-2026/10/31,主持;
(2)国家自然科学基金面上项目:复杂库岸滑坡多滑带协同演化机制与动态稳定性评价,2020/01/01-2023/12/31,主持;
(3)国家自然科学基金面上项目:库岸牵引式滑坡演化过程能量耗散/变形破坏特征与判据研究,2015/08/19-2019/12/31,主持;
(4)国家自然科学基金面上项目:渗透-组构-应力作用下的消落带滑带土弱化机理研究,2012/09/06-2016/12/31,主持;
(5)国家科技支撑计划项目,极端冰雪灾害条件下地质灾害预测预报及示范工程研究, 2009/01/01-2010/12/01,主持;
(6)国家其它部委项目,高切坡变形破坏区域预警方法及系统研究,2008/06/01-2009/12/01,主持;
(7)国家其它部委项目,全国地质灾害调查与监测数据库建设—突发性地质灾害预测报模型研究,2002/01/01-2005/01/01,主持;
(8)湖北省科研项目,基于WebGIS的滑坡灾害风险预测预警研究,2006/01/01-2007/12/01,主持;
(9)武汉市科研项目,武汉市岩溶塌陷灾害防灾减灾系统研究,2002/08/01-2004/08/01,主持;
(10)基于GIS的武汉市地质灾害风险评价专题, 2014/06/23-2015/12/31,主持;
代表性论著:
[1] Yiping Wu*, et al. Time-varying Reliability Analysis of Huangtupo Riverside No.2 Landslide in the Three Gorges Reservoir Based on Water-soil Coupling. Engineering Geology. 2017, 226:267-276.
[2] Yiping Wu*, et al. Landslide stability analysis based on random-fuzzy reliability: taking Liangshuijing landslide as a case. Stochastic environmental research and risk assessment, 2014:28(7), 1723-1732.
[3] Yiping Wu*, et al. GIS-based landslide hazard predicting system and its real-time test during a typhoon, Zhejiang Province, Southeast China. Engineering Geology, 2014:175, 9-21.
[4] Yiping Wu*, et al. Study on risk assessment and management of high slope failure in New Badong County, Three Gorge Reservoir, China. DISASTER ADVANCES, 2013:6, 404-413.
[5] Yiping Wu*, et al. Study on phreatic line of reservoir slope under the rainfall and reservoir level fluctuation. In Applied Mechanics and Materials. 2013,405:587-594.
[6] Yiping Wu*, et al. Stability Evaluation of Karst Foundation Based on Orthogonal Test. In Advanced Materials Research. 2013, 807:1725-1732.
[7] Yiping Wu*, et al. Effect of cyclic wetting and drying on the microstructure of slip zone soils in Huangtupo Landslide. Journal of Engineering Science and Technology Review, 2016:9(4), 209-216.
[8] Fasheng Miao, Yiping Wu*, et al. Macro and micro connections for slip zone soils of landslide under wetting-drying cycles in the Three Gorges Reservoir area. Landslides. 2024, 21:737–752.
[9] Fasheng Miao, Yiping Wu*, et al. Landslide Dynamic Susceptibility Mapping Base on Machine Learning and the PS-InSAR Coupling Model. Remote Sensing. 2023, 15(22), 5427.
[10] Fasheng Miao, Yiping Wu*, et al. Landslide Susceptibility Mapping in Three Gorges Reservoir Area Based on GIS and Boosting Decision Tree Model. Stochastic Environmental Research and Risk Assessment. 2023, 37:2283-2303. ESI高被引论文
[11] Fasheng Miao, Yiping Wu*, et al. A novel seepage device and ring-shear test on slip zone soils of landslide in the Three Gorges Reservoir Area. Engineering Geology. 2022, 307:106779.
[12] Fasheng Miao, Yiping Wu*, et al. Centrifugal model test on a riverine landslide in the Three Gorges Reservoir induced by rainfall and water level fluctuation. Geoscience Frontiers. 2022, 13(3): 101378. ESI高被引论文
[13] Fasheng Miao, Yiping Wu*, et al. Data Mining and Deep Learning for Predicting the Displacement of “Step-Like” Landslides. Sensors. 2022, 22(2): 481.
[14] Fasheng Miao, Yiping Wu*, et al. Triggering Factors and Threshold Analysis of Baishuihe landslide based on the Data Mining Methods. Natural Hazards. 2021, 105:2677–2696.
[15] Fasheng Miao, Yiping Wu*, et al. Weakening Laws of Slip Zone Soils during Wetting-Drying Cycles Based on Fractal Theory: A Case Study in the Three Gorges Reservoir (China). Acta Geotechnica. 2020,15:1909-1923.
[16] Fasheng Miao, Yiping Wu*, et al. Risk Assessment of Snowmelt-Induced Landslides Based on GIS and an Effective Snowmelt Model. Natural Hazards. 2019, 97: 1151-1173.
[17] Fasheng Miao, Yiping Wu*, et al. Influence of permeation effect on the microfabric of the slip zone soils: A case study from the Huangtupo landslide. Journal of Mountain Science. 2019, 16(6): 1231-1243.
[18] Fasheng Miao, Yiping Wu*, et al. Centrifuge Model Test on the Retrogressive Landslide Subjected to Reservoir Water Level Fluctuation. Engineering Geology. 2018, 245:169-179.
[19] Fasheng Miao, Yiping Wu*, et al. Prediction of Landslide Displacement with Step-like Behavior Based on Multialgorithm Optimization and a Support Vector Regression Model. Landslides. 2018,15: 475-488. ESI高被引论文
[20] Fasheng Miao, Yiping Wu*, et al. Research on Progressive Failure Process of Baishuihe Landslide Based on Monte Carlo Model. Stochastic Environmental Research and Risk Assessment. 2017, 31: 1683-1696.
[21] Kang Liao, Yiping Wu*, et al. Efficient System Reliability Analysis for Layered Soil Slopes with Multiple Failure Modes Using Sequential Compounding Method. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. 2023,9(2): 04023015.
[22] Kang Liao, Yiping Wu*, et al. Probabilistic risk assessment of earth dams with spatially variable soil properties using random adaptive finite element limit analysis. Engineering with Computers. 2023, 39(5): 3313-3326.
[23] Linwei Li*, Yiping Wu, et al. Optimized Apriori algorithm for deformation response analysis of landslide hazards. Computers & Geosciences. 2023, 170: 105261.
[24] Linwei Li*, Yiping Wu, et al. Adaptive hybrid machine learning model for forecasting the step-like displacement of reservoir colluvial landslides: a case study in the three Gorges reservoir area, China. Stochastic Environmental Research and Risk Assessment. 2023, 37:903-923.
[25] Kang Liao, Yiping Wu*, et al. System reliability analysis of landslides subjected to fluctuation of reservoir water level: a case study in the Three Gorges Reservoir area, China. Bulletin of Engineering Geology and the Environment. 2022, 81:225.
[26] Yang Xue, Yiping Wu*, et al. Application of uncertain models of sliding zone on stability analysis for reservoir landslide considering the uncertainty of shear strength parameters. Engineering with Computers. 2022,38, pages3057–3076.
[27] Linwei Li, Yiping Wu*, et al. A hybrid interval displacement forecasting model for reservoir colluvial landslides with step-like deformation characteristics considering dynamic switching of deformation states. Stochastic Environmental Research and Risk Assessment. 2021, 35:1089-1112.
[28] Kang Liao, Yiping Wu*, et al. Time-varying reliability analysis of Majiagou landslide based on weakening of hydro-fluctuation belt under wetting-drying cycles. Landslides. 2021, 18:267-280.
[29] Kang Liao, Yiping Wu*, et al. Effect of weakening of sliding zone soils in hydro-fluctuation belt on long-term reliability of reservoir landslides. Bulletin of Engineering Geology and the Environment. 2021, 80(5), 3801-3815.
[30] Yang Xue, Yiping Wu*, et al. Effect of spatially variable saturated hydraulic conductivity with non-stationary characteristics on the stability of reservoir landslides. Stochastic Environmental Research and Risk Assessment. 2020, 34:311-329.
[31] 吴益平*,等.灰色-进化神经网络模型在深埋隧道围岩变形预测中的应用[J].岩土力学,2008,29(S1):263-266.
[32] 吴益平*,等.灰色-神经网络模型在滑坡变形预测中的应用[J].岩石力学与工程学报,2007(03):632-636.
[33] 吴益平*,等. 巴东新城区紫红色泥岩工程地质性质研究[J].岩土力学,2006(07):1201-1203+1208.
[34] 吴益平*,等.BP模型在区域滑坡灾害风险预测中的应用[J].岩土力学,2005(09):1409-1413. (EI检索)
[35] 吴益平*,等.赵树岭古滑坡区建筑场地适宜性研究[J].岩石力学与工程学报,2004(S1):4485-4488.
[36] 吴益平*,等.三峡库区奉节县新址白马小区库岸再造工程地质研究[J].岩土力学,2003(S2):361-364.
[37] 吴益平*,等.浙江省永嘉县滑坡灾害风险预警研究[J].自然灾害学报,2009,18(02):124-130.
[38] 吴益平*,等.匈牙利布达佩斯地铁4号线黏土岩的工程地质性质[J].地质科技情报,2009,28(01):113-115.
[39] 吴益平*,等.滑坡空间预测数学模型的对比及其应用[J].地质科技情报,2007(06):95-100.
[40] 吴益平*,等.物元模型在滑坡灾害风险预测中的应用[J].地质科技情报,2003(04):96-100.
[41] 吴益平*,等.基于GIS的巴东新县城滑坡灾害风险系统[J].水文地质工程地质,2003(S1):117-121.
[42] 吴益平*,等.滑坡灾害空间预测研究[J].地质科技情报,2001(02):87/90.
[43] 吴益平*,等.滑坡数据库管理信息系统[J].水文地质工程地质,1997(01):14/16.
[44] 苗发盛,吴益平*,等. 基于渗透-环剪试验的三峡库区童家坪滑坡滑带土强度特性研究[J]. 岩土工程学报, 2023, 45(7):1480-1489.
[45] 苗发盛, 吴益平*,等.基于Boosting-决策树C5.0的岩体结构面粗糙度预测[J]. 浙江大学学报(工学版), 2021, 55(3):483-490.
[46] 苗发盛, 吴益平*,等.水位升降条件下牵引式滑坡离心模型试验研究.岩土力学, 2018, 39(2):605-613. 高PCSI论文、高被引论文
[47] 苗发盛, 吴益平*,等.基于多算法参数优化与SVR模型的白水河滑坡位移预测[J].工程地质学报,2016,24(6):1136-1144.
[48] 苗发盛, 吴益平*,等.降雨重现期标准化及其在某滑坡稳定性评价中的应用[J]. 水电能源科学,2016,08:152-156.
[49] 薛阳, 吴益平*,等.基于随机场-贝叶斯的滑面抗剪强度参数反演[J]. 浙江大学学报(工学版), 2021, 55(6):1118-1127.
[50] 薛阳, 吴益平*,等.库水升降条件下考虑饱和渗透系数空间变异性的白水河滑坡渗流变形分析. 岩土力学, 2020,41(5): 1709-1720.
[51] 张龙飞, 吴益平*,等.推移式缓倾浅层滑坡渐进破坏力学模型与稳定性分析. 岩土力学, 2019,40(12): 4767-4776.
[52] 李麟玮, 吴益平*,等.考虑变形状态动态切换的阶跃型滑坡位移区间预测方法[J]. 岩石力学与工程学报, 2019,11:2272-2287.
[53] 李麟玮, 吴益平*,等.基于不同Bootstrap方法和KELM-BPNN模型的滑坡位移区间预测[J]. 岩石力学与工程学报, 2019,05:912-926.
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