张少同(副教授)

发布者:孙友庆发布时间:2023-12-01浏览次数:6920

一、基本信息

姓名:张少同
性别:男
出生年月:198911
籍贯:山东省泰安市泰山区
联系地址:山东省青岛市崂山区松岭路238号,中国海洋大学,地质楼A301,邮编266100
E-mailshaotong.zhang@163.comshaotong.zhang@ouc.edu.cn

二、个人简历

1. 学习经历

2012.09-2018.01,中国海洋大学,环境地质工程,工学博士

2008.09-2012.06,山东科技大学,土木工程,工学学士

2. 工作经历

2021.10-至今,中国海洋大学,副教授,硕士生导师

2019.06-2021.07The University of Queensland,海岸工程,博士后国际交流计划

2018.03-2021.10,中国海洋大学,海洋科学(海洋地质),博士后

3. 承担项目

(1)    国家重点研发计划项目,政府间国际科技创新合作(1.6中国和非洲国家联合实验室项目),中尼河口三角洲联合实验室(2024YFE0116400),2024.12-2027.11,项目骨干,在研

(2)    国家自然科学基金,面上项目(42276215),海底细粒沉积物关键动力学参数的原位率定与预测模型构建,2023.01-2026.12,主持,在研

(3)    国家自然科学基金,青年项目(41807229),波致渗流对粉质土海床侵蚀影响的定量评价方法研究,2019.01-2021.12,主持,已结题

(4)    中国博士后科学基金,面上项目(一等资助)(2018M640656),原位沉积物柱状样分层抗侵蚀性测量装置设计与应用,2019.01-2021.10,主持,已结题

(5)    山东省自然科学基金,博士基金项目(ZR2019BD009),波致渗流侵蚀通量测量装置研发与应用,2019.07-2022.12,主持,已结题

(6)    山东省博士后创新人才支持计划(2018),“波-流”联合作用下海床侵蚀性现场原位测试环形水槽装置研发,2019.01-2021.10,主持,已结题

(7)    山东省博士后国际交流计划(201801026),The University of Queensland (合作导师:Prof. Peter Nielsen)2019.06-2021.07,主持,已结题

(8)    中央高校基本科研业务费(202441015),波致粉质土海床液化与侵蚀,2024.01-2026.12,主持,在研

(9)    中央高校基本科研业务费,基于原位观测的海底细颗粒悬浮沉积物平流输运组分分离方法研究,2022.01-2024.12,主持,已结题

(10) 企业科技服务项目,中国石油化工股份有限公司xxxx,海洋动力xxxx模型开发,2025.01-2025.10,主持,结题

4. 讲授课程

(1)    《海洋学导论》本科生专业基础课2022秋(勘工22)、2023春(地信22)、2024春(地信23)、2025秋(地质25)、2026春(地信25

(2)    《海洋地质前沿》博士生课程(部分授课):2024春、2025春、2026

(3)    《陆-海景观赏析》本科生通识课(部分授课):2022

三、专业领域

1. 学科专业:海岸工程(泥沙输运)、海洋地质(沉积动力)

2. 研究方向:海岸泥沙动力学

3. 在研课题(排序无先后)

l  风暴浪致粉砂侵蚀特性

l  溃坝波致泥沙侵蚀速率

l  海岸沙滩垂面溯源侵蚀

l  黏性海床管道附近冲刷

l  海岸灾害人工智能预报

4. 研究手段

水槽模拟实验、现场原位监测、数据驱动人工智能

每年在海洋地质地质工程专业招收硕士研究生共计1~2名。

四、代表性论著(第一作者或唯一通讯作者*)

[1] Zhang S., Zhao Z., Wu, J., Perrochet P., Wang Y., Li G., Li S. (2024). Optimization of suspended particulate transport parameters from measured concentration profiles with a new analytical model. Water Research, 254, 121407.

[2] Zhang S., Wu J., Wang Y-G., Jeng D-S., Li G. (2022). A physics-informed statistical learning framework for forecasting local suspended sediment concentrations in marine environment. Water Research, 218, 118518.

[3] Zhao Z., Zhang S.*, Wu J., Jin Y., Qiao L., Li G., Li S. (2025). Separating the horizontal advection component from field-measured suspended sediment concentration profiles. Water Research, 288, 124630.

[4] Zhang S., Zhao Z., Li G., Wu J., Wang Y-G., Nielsen P., Jeng D-S., Qiao L., Wang C., Li S. (2024). Estimation of sediment transport parameters from measured suspended concentration time series under waves and currents with a new conceptual model. Water Resources Research, 60(4), e2023WR034933.

[5] Zhang S., Yang Z., Zhang Y., Zhao S., Wu J., Wang C., Wang Y-G., Jeng D-S., Nielsen P., Li G., Li S. (2023). Improved prediction of local wave height by considering the memory of past winds. Water Resources Research, 59(8), e2023WR034974.

[6] Zhang S., Nielsen P., Perrochet P., Jia Y. (2021). Multiscale superposition and decomposition of field-measured suspended sediment concentrations: implications for extending 1DV models to coastal oceans with advected fine sediments. Journal of Geophysical Research: Oceans, 126(3): e2020JC016474.

[7] Zhang S., Jia Y., Zhang Y., Shan H. (2018). Influence of seepage flows on the erodibility of fluidized silty sediments: parameterization and mechanisms. Journal of Geophysical ResearchOceans, 123(5): 3307-3321.

[8] Zhang S., Zhao Z., Nielsen P., Wu J., Jia Y., Li G., Li S. (2023). Subaqueous silt ripples measured by an echo sounder: Implications for bed roughness, bed shear stress and erosion threshold. Journal of Hydrology, 626, 130354.

[9] Zhao Z., Zhang S.*, Wu J., Qiao L., Li G., Li H., Li S. (2024).Analysis of fine-grained sediment dynamics from field observations with a vector autoregressive model. Journal of Hydrology, 644, 132100.

[10] Zhang S., Wu J., Jia Y., Wang Y-G., Zhang Y., Duan Q. (2021). A temporal LASSO regression model for the emergency forecasting of the suspended sediment concentrations in coastal oceans:Accuracy and interpretability. Engineering Applications of Artificial Intelligence, 100, 104206.

[11] Zhang S., Zhao Z., Wu J., Jin Y., Jeng D-S., Li S., Li G., Ding D. (2024).Solving the temporal lags in local significant wave height prediction with a new VMD-LSTM model, Ocean Engineering, 313, 119385.

[12] Zhang Y., Wu J., Zhang S.*, Li G, Jeng D-S, Xu J., Tian Z., Xu X. (2022). An optimal statistical regression model for predicting wave-induced equilibrium scour depth in sandy and silty seabeds beneath pipelines. Ocean Engineering, 258, 111709.

[13] Zhang S., Nielsen P., Perrochet P., Xu B., Jia Y., Wen M. (2021). Derivation of settling velocity, eddy diffusivity and pick-up rate from field-measured suspended sediment concentration profiles in horizontally uniform but unsteady scenario. Applied Ocean Research, 107, 102485.

[14] Zhang S., Deng J., Li X., Zhao Z., Wu J., Li W., Wang Y-G., Jeng D-S. (2024). Solving the one dimensional vertical suspended sediment mixing equation with arbitrary eddy diffusivity profiles using temporal normalized physics-informed neural networks. Physics of Fluids, 36(1), 017132.

[15] Zhang S, Zhang Y, Xu J, Guo L, Li G, Jia Y, Qiao L, Wu J, Wen M, Zhu C. (2022). In situ observations of hydro-sediment dynamics on the abandoned Diaokou lobe of the Yellow River Delta: Erosion mechanism and rate. Estuarine, Coastal and Shelf Science, 277, 108065.

[16] Jin Y., Zhang S.*, Su Z., Liu S., Wen M., Zhao Z., Zhang Y, Zhu X, Niu K, Xie S. (2026). In-situ observations of strong wind directions on coastal hydrodynamics and sediment transport during cold-wave events. Estuarine, Coastal and Shelf Science, 109733.


 

 

                                  数据更新日期:2026424