鞠磊
性别:男
出生年月:1989年10月
籍贯:河南周口
职称:副教授,硕士生导师
电子邮件:juleix@163.com
教育经历:
2013.09 – 2018.06, 浙江大学环境与资源学院,博士(直接攻博)(导师:吴劳生,曾令藻);
2009.09 – 2013.06,英国正版365官网环境与规划学院,本科。
任职经历:
2024.03 – 至今,英国正版365官网,副教授;
2018.07 – 2024.02,英国正版365官网,讲师。
主要研究方向:
地下水运动及污染物迁移数值模拟
近期学术成果:
发表论文:
Ju L, Guo S, Ruan X, et al. Improving the mapping accuracy of soil heavy metals through an adaptive multi-fidelity interpolation method [J]. Environmental Pollution, 2023, 330: 121827.
Ju L, Hou Y, Zhang J, et al. Streambed water flux characterization through a Deep-Learning-Based approach considering data worth analysis: Numerical modeling and sandbox experiments [J]. Journal of Hydrology, 2022, 612: 128111.
Ju L, Jiao Z, Ge S, et al. Formation, stability and mobility of soluble Cr (III) during Cr (VI) reduction by Pannonibacter phragmitetus BB [J]. Environmental Technology & Innovation, 2022, 27: 102496.
Ju L, Gao H, Wang Y, et al. A novel sampling-free algorithm for subsurface data assimilation using Gaussian process-derived sensitivities [J]. Journal of Contaminant Hydrology, 2021, 242: 103884.
Ju L, Zhang J, Wu L, et al. Bayesian monitoring design for streambed heat tracing: Numerical simulation and sandbox experiments [J]. Groundwater, 2019, 57(4): 534-546.
Ju L, Zhang J, Meng L, et al. An adaptive Gaussian process-based iterative ensemble smoother for data assimilation [J]. Advances in water resources, 2018, 115: 125-135.
Ju L, Zhang J, Chen C, et al. Water flux characterization through hydraulic head and temperature data assimilation: Numerical modeling and sandbox experiments [J]. Journal of Hydrology, 2018, 558: 104-114.
科研项目:
国家自然科学基金项目,基于热示踪法的地表-地下水瞬态交互流速场的量化研究(41902251),国家自然科学基金委员会,2020-2022年,主持;
中国博士后科学基金面上项目,数据驱动法提升地表-地下水交互定量化精度的研究(2019M652519),中国博士后科学基金会,2019-2021,主持;
河南省科技攻关计划项目,黄河河南段悬河渗漏水量的精确量化技术研究(212102310431),河南省科学技术厅,2021-2022,主持。
专利:
鞠磊,郭诗文,侯宇通,童海滨,河水-地下水垂向瞬态交互水流通量的反演方法,国家发明专利,授权号2022114894324.