Numerical simulations on effects of turbulence on the size spectrum of sinking particles in ocean surface boundary layer

被引:0
作者
Nishino, Keisuke [1 ,2 ]
Yoshikawa, Yutaka [1 ]
机构
[1] Kyoto Univ, Grad Sch Sci, Kyoto, Japan
[2] Cent Res Inst Elect Power Ind, Sustainable Syst Res Lab, Abiko, Japan
基金
日本学术振兴会;
关键词
sinking particle; size spectrum; ocean surface boundary layer (OSBL); turbulence; aggregation; disaggregation; downward material transport; MODEL; WIND; PHYTOPLANKTON; COLLISION; SEA;
D O I
10.3389/feart.2024.1427564
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Sinking particles in the ocean play a crucial role in the climate system by transporting materials, such as carbon, deep into the ocean. The amount of this transport is influenced by the net sinking speed of the particles and the amount of material attached to them, both of which are determined by the size spectrum of the particles. The spectrum is shaped by aggregation and disaggregation processes, which are typically most active in the ocean surface boundary layer (OSBL), where intense turbulent flows can enhance both particle collision (aggregation) and particle fragmentation (disaggregation). This study aims to reveal the mechanism by which turbulence transforms the size spectrum through these competing processes and to determine whether turbulence alters the downward material transport from the OSBL. To achieve this, we performed large-eddy simulations to reproduce wind- and wave-induced turbulent flows, employing a Lagrangian particle model to track passive particles in the flow and simulate their aggregation and disaggregation. The model tracked groups of particles rather than individual ones. The results revealed that the shape of the simulated size spectrum was characterized by two length scales, the compensation radius (characterizing the particle floatability) and the Kolmogorov scale, which define the shear range where the turbulent shear shapes the spectrum, the sinking range where the gravitational sinking of particles shapes the spectrum, and the transition range between them. The findings revealed that turbulence tends to increase the terminal velocity and decrease the specific surface area of sinking particles when turbulent aggregation dominates over disaggregation, and vice versa. Although these results may be influenced by uncertain parameterizations (e.g., disaggregation parameterization), the study demonstrates the effectiveness of the numerical approach in investigating the fundamental processes governing particle sinking in turbulent flows.
引用
收藏
页数:18
相关论文
共 50 条
  • [41] Horizontal meandering in direct numerical simulations of the stable boundary layer
    Stefanello, Michel
    Frantz, Ricardo A. S.
    Acevedo, Otavio
    Degrazia, Gervasio
    Silvestrini, Jorge H.
    QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2022, 148 (749) : 3604 - 3621
  • [42] Passive buoyant tracers in the ocean surface boundary layer: 2. Observations and simulations of microplastic marine debris
    Brunner, K.
    Kukulka, T.
    Proskurowski, G.
    Law, K. L.
    JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2015, 120 (11) : 7559 - 7573
  • [43] An evaluation of vertical mixing parameterization of ocean boundary layer turbulence for cohesive sediments
    Liu, Jinliang
    Yuan, Jianguo
    Liang, Jun-Hong
    DEEP-SEA RESEARCH PART II-TOPICAL STUDIES IN OCEANOGRAPHY, 2022, 204
  • [44] Effect of Planetary Rotation on Oceanic Surface Boundary Layer Turbulence
    Liu, Jinliang
    Liang, Jun-Hong
    McWilliams, James C.
    Sullivan, Peter P.
    Fan, Yalin
    Chen, Qin
    JOURNAL OF PHYSICAL OCEANOGRAPHY, 2018, 48 (09) : 2057 - 2080
  • [45] Langmuir turbulence and filament frontogenesis in the oceanic surface boundary layer
    Sullivan, Peter P.
    McWilliams, James C.
    JOURNAL OF FLUID MECHANICS, 2019, 879 : 512 - 553
  • [46] Ice-shelf ocean boundary layer dynamics from large-eddy simulations
    Begeman, Carolyn Branecky
    Asay-Davis, Xylar
    Van Roekel, Luke
    CRYOSPHERE, 2022, 16 (01) : 277 - 295
  • [47] Surface gravity wave effects on the upper ocean boundary layer: Modification of a one-dimensional vertical mixing model
    Paskyabi, Mostafa Bakhoday
    Fer, Ilker
    Jenkins, Alastair D.
    CONTINENTAL SHELF RESEARCH, 2012, 38 : 63 - 78
  • [48] Modeling Near-Surface Turbulence in Large-Eddy Simulations of a Tornado: An Application of Thin Boundary Layer Equations
    Wang, Aaron
    Pan, Ying
    Bryan, George H.
    Markowski, Paul M.
    MONTHLY WEATHER REVIEW, 2023, 151 (06) : 1587 - 1607
  • [49] Ocean Surface Boundary Layer Response to Abruptly Turning Winds
    Wang, Xingchi
    Kukulka, Tobias
    JOURNAL OF PHYSICAL OCEANOGRAPHY, 2021, 51 (06) : 1779 - 1794
  • [50] Parameterizing Vertical Mixing Coefficients in the Ocean Surface Boundary Layer Using Neural Networks
    Sane, Aakash
    Reichl, Brandon G.
    Adcroft, Alistair
    Zanna, Laure
    JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS, 2023, 15 (10)