基于sedtran05模型的悬浮物输送数值模拟方法
A Numerical Simulation Method of Sediment Transport Based on sedtran05 Model
DOI: 10.12677/CSA.2019.95106, PDF,   
作者: 王 潇, 张 昊*, 陈刚柱：中国人民解放军69250部队，新疆 乌鲁木齐
关键词: 悬浮物输送；sedtran05模型；数值模拟；Sediment Transport； sedtran05 Model； Numerical Simulation
摘要: 针对海洋悬浮物运输问题，研究了一种基于sedtran05模型的数值模拟方法。首先，考虑水的密度和粘度、沉降流速，以及传输方程，搭建了基于垂直剖面输沙模型的计算方法；然后，采用sedtran05模型对黄海环境进行模拟，计算了不同粒径大小、水深、流速和温度时的悬浮物输送率，并对模型相关参数进行了修正；最后，通过将仿真结果与文献数据进行对比，验证了方法的有效性并明确了模型的适用范围。
Abstract: In order to implement the transport of sediment, one-dimensional numerical simulation method based on sedtran05 is proposed. Firstly, considering the density and viscosity of water, the settling velocity, and the transfer equation, the calculate method of vertical profile model is built. Secondly, the Yellow Sea environmental conditions simulation experiments are carried out based on sedtran05 model, calculating the sediment transport rate for different particle of sediment, depth, speed, temperature of seawater. Finally, by comparing the data with other literature with the simulation results, we verify the validity of method and define the scope of application of the model.
文章引用：王潇, 张昊, 陈刚柱. 基于sedtran05模型的悬浮物输送数值模拟方法[J]. 计算机科学与应用, 2019, 9(5): 934-940. https://doi.org/10.12677/CSA.2019.95106

参考文献

[1] 孙湘平. 近海区域海洋学[M]. 北京: 海洋出版社, 2006: 95-248.
[2] Qiu, Z.F., Xiao, C., Perrie, W., et al. (2017) Using Landsat 8 Data to Estimate Suspended Particulate Matter in the Yellow River Estuary. Journal of Geophysical Research: Oceans, 122, 276-290. [Google Scholar] [CrossRef] 
[3] 尹小青, 杨顶田, 周立柱. 黄、东海边界悬浮物输运量的卫星遥感估算[J]. 热带海洋学报, 2018, 37(2): 10-16.
[4] Cai, L.N., Tang, D.L., Levy, G., et al. (2016) Remote Sensing of the Impacts of Construction in Coastal Waters on Suspended Particulate Matter con Centration—The Case of the Yangtze River Delta, China. International Journal of Remote Sensing, 37, 2132-2147. [Google Scholar] [CrossRef] 
[5] Cai, L.N., Tang, D.L. and Li, C.Y. (2015) An Investigation of Spatial Variation of Suspended Sediment Concentration Induced by a Bay Bridge Based on Landsat TM and OLI Data. Advances in Space Research, 56, 293-303. [Google Scholar] [CrossRef] 
[6] Yang, X.F., Mao, Z.H., Huang, H.Q., et al. (2016) Using GOCI Retrieval Data to Initialize and Validate a Sediment Transport Model for Monitoring Diurnal Variation of SSC in Hangzhou Bay, China. Water, 8, 108-113. [Google Scholar] [CrossRef] 
[7] 陆海建. 二维风浪潮流泥沙数学模型在天津港新建滚装码头工程中的应用[D]: [硕士学位论文]. 天津: 天津大学, 2010.
[8] 孙文心, 江文胜, 李磊. 近海环境流体动力学数值模型[M]. 北京: 科学出版社, 2004: 333-356.
[9] 宋永港. 海南岛重点区沙滩波流输沙模型[D]: [硕士学位论文]. 上海: 华东师范大学, 2011.
[10] 王飞, 王珊珊, 王新, 等. 杭州湾悬浮泥沙遥感反演与变化动力分析[J]. 华中师范大学学报(自然科学版), 2014, 48(1): 112-116, 135.