科研人员

Scientist

基本信息

姓名:张少同
性别:男
出生年月:1989年11月
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-mail :shaotong.zhang@ouc.edu.cn

主页访问量:2457

简历

· 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

· 工作经历

2021.10至今,中国海洋大学,副教授,硕士生导师
2019.06-2021.07,The 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

· 承担项目

(1)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
(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)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
(4)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
(5)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
(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
(8)山东省公派留学资助,博士后国际交流计划(201801026),澳大利亚昆士兰大学(合作导师:Prof. Peter Nielsen),Cohesive sediment transport along the China muddy coast,2019.06-2021.07,主持,已结题

· 讲授课程

《海洋学导论》、《陆-海景观赏析》

主要学术领域

· 学科方向

海洋工程地质灾害

· 研究方向

海床侵蚀与泥沙输运

· 近期研究兴趣

(1)海床侵蚀泥沙输运基本过程参数化
(2)海底管道周围海床冲刷机理与防护
(3)海岸灾害数据驱动(Data-driven)预报

· 研究手段

水槽模拟实验、现场原位监测、数据驱动人工智能
每年在海洋地质或地质工程专业招收硕士研究生共计2名。

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.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.
4.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 Research: Oceans, 123(5): 3307-3321.
5.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.
6.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.
7.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.
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., 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.
11.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.
12.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.
13.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.
14.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.
15.Zhao S., Yang Z., Zhang S.*, Wu J., Zhao Z., Jeng D-S., Wang Y-G. (2023). Predictions of runoff and sediment discharge at the lower Yellow River Delta using basin irrigation data. Ecological Informatics, 78, 102385.