姓名:林丹彤

职称: 青年研究员  硕士生导师  专业硕士生导师 

性别:女

毕业院校:清华大学

学历:博士

学位:博士

在职信息:在职

所在单位:资源环境学院

入职时间:2023.9.1

办公地点:观云楼1611

电子邮箱:lindt@lzu.edu.cn

学习经历

2012.09-2016.07    清华大学水利系       水利水电工程专业           工学学士              
2013.09-2016.07    清华大学外语系       外语语言与文学专业       文学学士(第二学位)
2016.09-2021.07    清华大学水利系       岩土工程研究所               博士生在读                           导师:胡黎明
2017.07-2017.07    香港科技大学           土木与环境学院               访问学生                               导师:Irene Lo 
2019.11-2020.05    美国农业部农业研究局盐度实验室                  访问学生                               导师:Scott Bradford

研究方向

环境岩土工程,地下水污染修复,多孔介质渗流,胶体运移和滞留,土壤孔隙结构,土壤水分运移

工作经历

2021.07-2023.08         清华大学水利系       岩土工程研究所               博士后(助理研究员)       导师:胡黎明    

学术兼职

中国土木工程学会土力学及岩土工程分会青年工作委员会委员
《应用基础与工程科学学报》青年编委

研究成果

胡黎明, 林丹彤. 有色纳米材料在水体中运动的二维观测系统及方法, CN113758925A [P/OL]. 2021-12-07.
胡黎明,张兴昊,林丹彤. 等效孔隙网络模型分析软件1.0, 2021SR08573 09.
胡黎明,张兴昊,林丹彤. 基于钻孔数据的三维地层重构软件1.0, 2021SR11 67535.
胡黎明,张兴昊,林丹彤. 多孔介质孔隙结构模型与渗流分析软件2.0, 2022SR0219358.

获得荣誉

2021年  入选清华大学“水木学者”计划,清华大学水利系优秀博士论文
2023年  入选中国水力发电工程学会第一届“青年人才托举工程”

在研项目

清华大学水圈科学与水利工程全国重点实验室开放基金项目“黄土高原土壤蒸发过程物理机理模型及影响因素分析” (sklhse-2024-A-03), 2024.01-2025.12, 15万元, 主持
甘肃省科技计划自然科学基金项目“黄土高原优先流对土壤水量及水分分布影响研究” (24JRRA434), 2024.8-2027.7, 5万元, 主持
国家重点研发计划课题“污染源精准识别与污染物迁移路径示踪”(2023YFC3706902), 2023.12-2027.11, 245万元, 参与
兰州大学青年研究员科研启动经费,2023-2028,100万,主持
国家自然科学基金青年项目“多孔介质孔隙结构对地下水中胶体运移和滞留的宏微观影响规律研究”(42207002), 2023-2026, 30万, 主持
长江水利委员会长江科学院开放基金项目“多孔介质孔隙结构模型及微观渗流模拟”(CKWV20221013/KY), 2023-2025, 7万, 主持
北京市自然科学基金青年项目“胶体在多孔介质中运动的微观机理及多尺度数值模拟”(8224092), 2022-2023, 10万, 主持
清华大学-宁夏银川水联网数字治水联合研究院联合开放基金项目“地下水中胶体的运移和滞留行为研究” (sklhse-2022-Iow01), 2022-2023, 10万, 主持

发表论文

1.	Lin D, Tang M, Zhang B, Zhang X, Bradford S A*, and Hu L*, 2025. Coupled clogging and colloid retention mechanisms in porous media: Insights from Pore-Network modeling [J]. Separation and Purification Technology, 363: 132055.
2.	Bradford S A*, and Lin D, 2025. A theoretical model to predict the influence of physicochemical conditions on colloid transport, attachment, detachment, and blocking in porous media [J]. Journal of Hydrology, 650.
3.	Hu L*, Cao Y, Xia Z, and Lin D, 2024. Physical modeling of organics-contaminated groundwater remediation by ozone micro-nano-bubbles enhanced oxidation [J]. Journal of Hydrology, 645.
4.	Lin D, Zhang D, Zhang X, Goncalves da Silva B M, Hu L*, and Meegoda J N*, 2023. Prediction of gas production rate from shale gas reservoirs using a micro-macro analysis. Scientific Reports, 13, (1), 494.
5.	Lin D, Hu L*, and Lo I M C. Two-dimensional modeling of nano zero-valent iron transport and retention before and after phosphate adsorption [J]. Environmental Science & Technology, 2022, 56 (24): 17712-17719.
6.	Lin D, Zhang X, Hu L*, Bradford S A*, and Shen C, 2022. Prediction of colloid sticking efficiency at pore-scale and macroscale using a pore network model [J]. Journal of Hydrology, 612: 128253.
7.	Lin D, Hu L*, Bradford S A*, Zhang X, and Lo I M C, 2022. Prediction of collector contact efficiency for colloid transport in porous media using Pore-Network and Neural-Network models [J]. Separation and Purification Technology, 290: 120846.
8.	Lin D, Hu L*, Bradford S A*, Zhang X, and Lo I M C, 2021. Pore-network modeling of colloid transport and retention considering surface deposition, hydrodynamic bridging, and straining [J]. Journal of Hydrology, 603: 127020.
9.	Lin D, Hu L*, Bradford S A*, Zhang X, and Lo I M C, 2021. Simulation of colloid transport and retention using a pore‐network model with roughness and chemical heterogeneity on pore surfaces [J]. Water Resources Research, 57 (2): e2020WR028571.
10.	Lin D, Bradford S, Hu L*, and Lo I M C, 2021. Impact of phosphate adsorption on the mobility of PANI-supported nano zero-valent iron [J]. Vadose Zone Journal, 20 (2): e20091.
11.	Zhang D, Zhang X, Guo H, Lin D, Meegoda J N*, and Hu L*, 2021. An anisotropic pore-network model to estimate the shale gas permeability [J]. Scientific Reports, 11 (1): 7902.
12.	Lin D, Hu L*, Lo I M C, and Yu Z, 2020. Size distribution and phosphate removal capacity of nano zero-valent iron (nZVI): Influence of PH and ionic strength [J]. Water, 12 (10): 2939.
13.	林丹彤, 胡黎明*, 2022. 多孔介质中磷负载纳米铁运动特性的模型试验 [J]. 岩土力学, 43: 337-344+357
14.	林丹彤, 胡黎明*, 沈重阳, 2022. 饱和多孔介质中胶体运移模拟方法研究进展 [J]. 中国环境科学, 42 (02): 914-924
15.	张兴昊, 林丹彤, 胡黎明*, 2022. 基于等效孔隙网络模型的水动力弥散数值模拟 [J]. 清华大学学报(自然科学版): 1-9
16.	胡黎明*, 林丹彤, 劳敏慈, 2021. 多孔介质中纳米零价铁运移行为的试验研究 [J]. 岩土工程学报, 43: 1173-1181
17.	Lin D, Zhang Z, and Hu L*. Adsorption models of groundwater remediation by nanoscale zero valent iron [M]. Proceedings of the 8th International Congress on Environmental Geotechnics Volume 1. 2019: 512-520.
18.	Wang Y, Lin D, and Hu L*. One-dimensional model for sedimentation and consolidation of tailings slurry [M]. Proceedings of the 8th International Congress on Environmental Geotechnics Volume 3. 2019: 198-204.
19.	Hu L*, Lin D, Wu H, and Du J. Numerical simulation of the consolidation characteristics considering the construction process for tailings [M]. 19th International Conference on Soil Mechanics and Geotechnical Engineering, ICSMGE 2017. 
20.	Tang M, Lin D, and Hu L*. Prediction of Soil Water Characteristic Curve Based on Liquid Bridge Theory [M]. 9th International Congress on Environmental Geotechnics. Chania, Greece. 2023.
21.	Lin D, Zhang X, and Hu L*. Influence of Pore Structure on Dispersion Coefficient: Simulations by Equivalent Pore-Network Model [M]. 9th International Congress on Environmental Geotechnics. Chania, Greece. 2023.
22.	Zhang X, Lin D, and Hu L*. Simulation of mechanical dispersion by an anisotropic pore-network model [M]. Proceedings of the 20th International Conference on Soil Mechanics and Geotechnical Engineering. Sydney, Australia. 2022: 3797-3801.
23.	Lin D, Bradford S A, Hu L*, Zhang X, and Lo I. Simulation of colloids transport and retention by pore-network model: Influence of particle size and flow velocity [M]. Proceedings of the 2nd International Symposium of Water Disaster Mitigation and Water Environment Regulation. Chengdu, China. 2021.
24.	Lin D, Wu H, and Hu L*. Excess pore pressure during One-dimensional self-weight consolidation [M]. Proceedings of GeoShanghai 2018 International Conference: Fundamentals of Soil Behaviours. 2018: 407-416.
25.	Du J, Hu L*, Lin D, and Zhang L. Experimental study on physical and mechanical properties of iron tailing materials [M]. Proceedings of GeoShanghai 2018 International Conference: Rock Mechanics and Rock Engineering. 2018: 187-194.
26.	胡黎明*, 林丹彤, 张鹏伟, 张兴昊, 郭豪豪, Meegoda J N, 董晓强, 2022. 多孔介质孔隙结构模型及其在渗流分析中的应用 [J]. 太原理工大学学报, 53: 360-370
27.	陈含墨, 林丹彤*, 2023. 关于抽水蓄能电站设计中过机含沙量计算问题的思考 [J]. 水电与抽水蓄能, 9 (06): 52-54.

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