| 随机波浪下泰勒离散系数的时域解 |
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| 引用本文： | 郭晓梦,黄国兴,张宁川.随机波浪下泰勒离散系数的时域解[J].海洋通报,2017,36(6):638-643. |
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| 作者姓名： | 郭晓梦 黄国兴 张宁川 |
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| 作者单位： | 南京水利科学研究院水文水资源与水利工程科学国家重点实验室，江苏南京210098；大连理工大学海岸和近海工程国家重点实验室，辽宁大连116024,南京水利科学研究院水文水资源与水利工程科学国家重点实验室，江苏南京210098；大连理工大学海岸和近海工程国家重点实验室，辽宁大连116024,大连理工大学海岸和近海工程国家重点实验室，辽宁大连116024 |
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| 基金项目： | 水文水资源与水利工程科学国家重点实验室开放研究基金（2015491311）；海岸和近海工程国家重点实验室青年学者研究基金（LY1602） |
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| 摘 要： | 利用Wolk提出的粒子追踪方程,通过等分频率法划分不规则波谱,利用MATLAB做粒子运动模拟计算,得到无因次化泰勒离散系数K/D随时间t变化的曲线;通过与Huang等得到的P-M谱的泰勒离散系数K/D计算结果比较证明了本计算方法的可靠性。采用该方法研究了不规则波条件下,波序列(同一谱型不同波面序列)和谱型(谱峰周期、有效波高、谱峰升高因子)对波浪离散系数的影响;计算结果表明:同一谱型不同波序列对泰勒纵向离散系数稳定值和稳定时间无影响;不规则波谱峰周期越大,纵向离散系数K/D越小,稳定时间越短;有效波高越大,纵向离散系数K/D越大,稳定时间越长;谱峰升高因子越大,泰勒离散系数K/D越大,稳定时间越长;与规则波相比,不规则波的泰勒离散系数K/D的值略小10%~30%。
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| 关 键 词： | 泰勒离散 随机波浪 粒子追踪 |
| 收稿时间： | 2016/3/11 0:00:00 |
| 修稿时间： | 2016/11/27 0:00:00 |
Taylor dispersion of contaminants with time by random waves |
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| GUO Xiao-meng,HUANG Guo-xing and ZHANG Ning-chuan.Taylor dispersion of contaminants with time by random waves[J].Marine Science Bulletin,2017,36(6):638-643. |
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| Authors: | GUO Xiao-meng HUANG Guo-xing and ZHANG Ning-chuan |
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| Institution: | State KeyLaboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210098, China; State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China,State KeyLaboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210098, China; State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China and State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China |
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| Abstract: | Based on Wolk''s particle tracking equation, this study investigated the dimensionless Taylor dispersion K/D subject to random waves in time-domain. The Aliquots frequency method was used to simulate the random waves and the simulation of the particle motion was performed by MATLAB. The simulated results were verified by comparing to the results of Huang et al. Based on the simulated results, we discussed the effect of wave series (or different surface wave series with the same spectrum) and spectral type (including spectral peak period, significant wave height and higher spectral peak factor) on the dispersion coefficient under different random waves. The results show that different wave series with the same spectral type have insignificant effects on stable value and time of the Taylor dispersion coefficient. Also, K/D was observed to increase with shorter irregular spectral peak period, larger significant wave height and larger spectral peak factor. In addition, Taylor dispersion coefficient K/D under irregular waves is approximately 0.7~0.9 times of that under regular waves. |
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| Keywords: | Taylor dispersion random wave particle tracking |
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