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Volume 43 Issue 8
Aug.  2021
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Article Contents
Gao Liping,Fan Dejiang,Song Dehai, et al. Numerical simulation of the migration path during the growth period of Ulva prolifera in the sea near northern Jiangsu and the thermohaline environment[J]. Haiyang Xuebao,2021, 43(8):1–16 doi: 10.12284/hyxb2021056
Citation: Gao Liping,Fan Dejiang,Song Dehai, et al. Numerical simulation of the migration path during the growth period of Ulva prolifera in the sea near northern Jiangsu and the thermohaline environment[J]. Haiyang Xuebao,2021, 43(8):1–16 doi: 10.12284/hyxb2021056

Numerical simulation of the migration path during the growth period of Ulva prolifera in the sea near northern Jiangsu and the thermohaline environment

doi: 10.12284/hyxb2021056
  • Received Date: 2020-11-04
  • Rev Recd Date: 2021-01-08
  • Available Online: 2021-05-18
  • Publish Date: 2021-08-25
  • A high resolution numerical model based on a proven FVCOM with a Lagrangian particle tracking module was introduced to simulate water particle movement under differences controlling conditions, including the tide, wind, boundary circulation flow, temperature, salinity, wave coupling etc. Combined with simulate results and the actual drift bottles movement paths, factors influencing Ulva prolifera were discussed. The results showed that the migration path of U. prolifera firstly migrated northward along the coast of northern Jiangsu to the sea area near the abandoned Huanghe River Estuary and then continued its migration to the sea area south of Shandong Peninsula. The external forces that affecting the migration of U. prolifera is mainly wind. It is an order of magnitude higher than anything else and followed by temperature-salinity, wave, tidal, circulation, the tidal current can cause the cyclic movement of U. prolifera in the local area, and it has no influence on Enteromorpha for drifting to the north more distant. During the simulation period, the surface temperature, salinity of drifting sea area were between 18−24℃, 28−31, respectively. These temperature and salinity conditions are close to the most suitable growth conditions of U. prolifera, indicating that U. prolifera would fast reproduce during its drifting.
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  • [1]
    肖洁, 张晓红, 高春蕾, 等. 温度、盐度和光照对浒苔生长和光合作用的影响[J]. 海洋学报, 2015, 35(10): 114−121.

    Xiao Jie, Zhang Xiaohong, Gao Chunlei, et al. Effect of temperature, salinity and irradiance on growth and photosynthesis of Ulva prolifera[J]. Haiyang Xuebao, 2015, 35(10): 114−121.
    [2]
    王春艳, 谢宏全, 卢霞, 等. 光谱测试实验下的浒苔全生命周期生长研究[J]. 淮海工学院学报 (自然科学版), 2011, 20(4): 86−89.

    Wang Chunyan, Xie Hongquan, Lu Xia. Study on the lifecycle development of Enteromorpha sp. in spectral test[J]. Journal of Huaihai Institute of Technology (Natural Science Edition), 2011, 20(4): 86−89.
    [3]
    王宗灵, 傅明珠, 肖洁, 等. 黄海浒苔绿潮研究进展[J]. 海洋学报, 2018, 40(2): 1−13.

    Wang Zongling, Fu Mingzhu, Xiao Jie, et al. Progress on the study of the Yellow Sea green tides caused by Ulva prolifera[J]. Haiyang Xuebao, 2018, 40(2): 1−13.
    [4]
    范士亮, 傅明珠, 李艳, 等. 2009−2010年黄海绿潮起源与发生过程调查研究[J]. 海洋学报, 2012, 34(6): 187−194.

    Fan Shiliang, Fu Mingzhu, Li Yan, et al. Origin and development of Huanghai (Yellow) Sea green-tides in 2009 and 2010[J]. Haiyang Xuebao, 2012, 34(6): 187−194.
    [5]
    吴孟泉, 郭浩, 张安定, 等. 2008年−2012年山东半岛海域浒苔时空分布特征研究[J]. 光谱学与光谱分析, 2011, 34(5): 1312−1318.

    Wu Mengquan, Guo Hao, Zhang Anding, et al. Research on the characteristics of Ulva. Prolifera in Shandong peninsula during 2008−2012 based on MODIS data[J]. Spectroscopy and Spectral Analysis, 2011, 34(5): 1312−1318.
    [6]
    王萌, 郑伟, 李峰. Himawari-8气象卫星黄海浒苔动态监测[J]. 应用气象学报, 2017, 28(6): 714−723. doi: 10.11898/1001-7313.20170607

    Wang Meng, Zheng Wei, Li Feng. Application of himawari-8 data to Enteromorpha Prolifera dynamically monitoring in the Yellow Sea[J]. Journal of Applied Meteorological Science, 2017, 28(6): 714−723. doi: 10.11898/1001-7313.20170607
    [7]
    Lee J H, Pang I C, Moon I J, et al. On physical factors that controlled the massive green tide occurrence along the southern coast of the Shandong Peninsula in 2008: a numerical study using a particle-tracking experiment[J]. Journal of Geophysical Research: Oceans, 2011, 116(C12): C12036. doi: 10.1029/2011JC007512
    [8]
    乔方利, 王关锁, 吕新刚, 等. 2008与2010年黄海浒苔漂移输运特征对比[J]. 科学通报, 2011, 56(21): 2236−2242. doi: 10.1007/s11434-011-4551-7

    Qiao Fangli, Wang Guansuo, Lü Xin’gang, et al. Drift characteristics of green macroalgae in the Yellow Sea in 2008 and 2010[J]. Chinese Science Bulletin, 2011, 56(21): 2236−2242. doi: 10.1007/s11434-011-4551-7
    [9]
    于晓杰. 南黄海西部夏季环流及其对浒苔漂移影响的数值研究[D]. 青岛: 中国海洋大学, 2011.

    Yu Xiaojie. Numerical study about circulation in summer and its impact on the drift of enteromorpha prolifera in the western part of south Yellow Sea[D]. Qingdao: Ocean University of China, 2011.
    [10]
    Bao Min, Guan Weibing, Yang Yang, et al. Drifting trajectories of green algae in the western Yellow Sea during the spring and summer of 2012[J]. Estuarine, Coastal and Shelf Science, 2015, 163: 9−16. doi: 10.1016/j.ecss.2015.02.009
    [11]
    赵昌, 尹丽萍, 王关锁, 等. 黄海浒苔漂移输运模式的建立与应用[J]. 海洋与湖沼, 2018, 49(5): 1075−1083. doi: 10.11693/hyhz20180400089

    Zhao Chang, Yin Liping, Wang Guansuo, et al. The modelling of Ulva prolifera transport in the Yellow Sea and its application[J]. Oceanologia et Limnologia Sinica, 2018, 49(5): 1075−1083. doi: 10.11693/hyhz20180400089
    [12]
    乔方利. 中国区域海洋学—物理海洋学[M]. 北京: 海洋出版社, 2012.

    Qiao Fangli. Regional Oceanography of China Seas—Physical Oceanography[M]. Beijing: China Ocean Press, 2012.
    [13]
    刘志亮, 胡敦欣. 黄海夏季近岸海区环流的初步分析及其与风速的关系[J]. 海洋学报, 2009, 31(2): 1−7.

    Liu Zhiliang, Hu Dunxin. Preliminary study on the Huanghai Sea coastal current and its relationship with local wind in summer[J]. Haiyang Xuebao, 2009, 31(2): 1−7.
    [14]
    Wei Hao, Deng Lijing, Wang Yuheng, et al. Giant jellyfish Nemopilema nomurai gathering in the Yellow Sea—a numerical study[J]. Journal of Marine Systems, 2015, 144: 107−116. doi: 10.1016/j.jmarsys.2014.12.001
    [15]
    仲毅. 冷水团季节变化对南黄海泥沙输运及泥质区发育的贡献[D]. 青岛: 中国海洋大学, 2020.

    Zhong Yi. Suspended sediment transport and deposition mechanism in the central South Yellow Sea due to the cold water mass evolution[D]. Qingdao: Ocean University of China, 2020.
    [16]
    石峰. 近海复杂动力条件驱动下生境季节性变化过程的数值模拟研究[D]. 大连: 大连理工大学, 2018.

    Shi Feng. Study on numerical simulation of eco-environmental seasonal evolution driven by complex offshore hydrodynamics[D]. Dalian: Dalian University of Technology, 2018.
    [17]
    Chen Changsheng, Beardsley R C, Cowles G, et al. An unstructured grid, finite-volume coastal ocean model: FVCOM user manual, Second edition[Z]. New Bedford: School for Marine Science and Technology, University of Massachusetts Dartmouth, 2006.
    [18]
    Qi Jianhua, Chen Changsheng, Beardsley R C, et al. An unstructured-grid finite-volume surface wave model (FVCOM-SWAVE): implementation, validations and applications[J]. Ocean Modelling, 2009, 28(1/3): 153−166.
    [19]
    Booij N, Ris R C, Holthuijsen L, et al. A third generation wave model for coastal regions: 1. Model description and validation[J]. Journal of Geophysical Research: Oceans, 1999, 104(C4): 7649−7666. doi: 10.1029/98JC02622
    [20]
    SWAN Team. SWAN Cycle III version 40.51 Technical documentation[Z]. The Netherlands: Delft University of Technology, Faculty of Civil Engineering and Geosciences, Environmental Fluid Mechanics Section, P. O. Box 5048, 2600a GA Delft, 2006.
    [21]
    SWAN Team. SWAN Cycle III version 40.51 Technical documentation[Z]. The Netherlands: Delft University of Technology, Faculty of Civil Engineering and Geosciences, Environmental Fluid Mechanics Section, P. O. Box 5048, 2600b GA Delft, 2006.
    [22]
    李弘毅. 基于时间序列GOCI影像的南黄海浒苔提取与浒苔爆发环境驱动因素研究[D]. 南京: 南京大学, 2018.

    Li Hongyi. Ulva Prolifera detection using time-series GOCI images and analysis on the key environmental factors to its growth[D]. Nanjing: Nanjing University, 2018.
    [23]
    Yuan Dongliang, Zhu Jianrong, Li Chunyan, et al. Cross-shelf circulation in the Yellow and East China Seas indicated by MODIS satellite observations[J]. Journal of Marine Systems, 2008, 70(1/2): 134−149.
    [24]
    Wang Zhiwen, Li Qian, Wang Chenghao, et al. Observations of internal tides off the coast of Shandong Peninsula, China[J]. Estuarine, Coastal and Shelf Science, 2020, 245: 106944. doi: 10.1016/j.ecss.2020.106944
    [25]
    Zhong Yi, Qiao Lulu, Song Dehai, et al. Impact of cold water mass on suspended sediment transport in the South Yellow Sea[J]. Marine Geology, 2020, 428: 106244. doi: 10.1016/j.margeo.2020.106244
    [26]
    Lü Xin’gang, Qiao Fangli, Xia Changshui, et al. Upwelling and surface cold patches in the Yellow Sea in summer: Effects of tidal mixing on the vertical circulation[J]. Continental Shelf Research, 2010, 30(6): 620−632. doi: 10.1016/j.csr.2009.09.002
    [27]
    Lie H J, Cho C H, Lee S, et al. Frontal circulation and westward transversal current at the Yellow Sea entrance in winter[J]. Journal of Geophysical Research: Oceans, 2013, 118(8): 3851−3870. doi: 10.1002/jgrc.20280
    [28]
    Wang Bin, Hirose N, Yuan Dongliang, et al. Effects of tides on the cross-isobath movement of the low-salinity plume in the western Yellow and East China Seas in winter[J]. Continental Shelf Research, 2017, 143: 28−239. doi: 10.1016/j.csr.2016.06.011
    [29]
    Zhu Ping, Wu Hui. Origins and transports of the low-salinity coastal water in the southwestern Yellow Sea[J]. Acta Oceanologica Sinica, 2018, 37(4): 1−11. doi: 10.1007/s13131-018-1200-x
    [30]
    张广宗, 吴孟泉, 孙晓, 等. 南黄海浒苔漂移轨迹年际变化规律及驱动因素[J]. 海洋与湖沼, 2018, 49(5): 1084−1093. doi: 10.11693/hyhz20180400093

    Zhang Guangzong, Wu Mengquan, Sun Xiao, et al. The inter-annual drift and driven force of Ulva prolifera bloom in the southern Yellow Sea[J]. Oceanologia et Limnologia Sinica, 2018, 49(5): 1084−1093. doi: 10.11693/hyhz20180400093
    [31]
    Wu Hui, Shen Jian, Zhu Jianrong, et al. Characteristics of the Changjiang plume and its extension along the Jiangsu Coast[J]. Continental Shelf Research, 2014, 76: 108−123. doi: 10.1016/j.csr.2014.01.007
    [32]
    李尧. 中国东部近海夏季环流特征及其动力机制[D]. 青岛: 中国科学院海洋研究所, 2010.

    Li Yao. Structure and dynamics of ocean circulation off the east coast of China[D]. Qingdao: Institute of Oceanology, Chinese Academy of Sciences, 2010.
    [33]
    朱平, 吴辉. 夏季长江口与苏北海域之间的水体运动及其对动力因子的响应[J]. 华东师范大学学报(自然科学版), 2018(4): 171−183.

    Zhu Ping, Wu Hui. Water mass transport and its controlling mechanisms between the Changjiang Estuary and Subei Coastal water during the summer[J]. Journal of East China Normal University (Natural Sciences), 2018(4): 171−183.
    [34]
    李鸿妹. 营养盐与黄海浒苔绿潮暴发关系的探究[D]. 青岛: 中国海洋大学, 2015.

    Li Hongmei. Relationship between nutrients and the occurrence of macroalgal blooms in the Yellow Sea[D]. Qingdao: Ocean University of China, 2015.
    [35]
    王宗灵, 傅明珠, 周健, 等. 黄海浒苔绿潮防灾减灾现状与早期防控展望[J]. 海洋学报, 2020, 42(8): 1−11.

    Wang Zongling, Fu Mingzhu, Zhou Jian, et al. Current situation of prevention and mitigation of the Yellow Sea green tide and proposing control measurements in the early stage[J]. Haiyang Xuebao, 2020, 42(8): 1−11.
    [36]
    国家海洋局. 中国海洋环境状况公报[R]. 北京: 国家海洋局, 2010−2018.

    State Oceanic Administration. Bulletin of China’s marine environment[R]. Beijing: State Oceanic Administration, 2010−2018.
    [37]
    Shi Xiaoyong, Qi Mingyan, Tang Hongjie, et al. Spatial and temporal nutrient variations in the Yellow Sea and their effects on Ulva prolifera blooms[J]. Estuarine, Coastal and Shelf Science, 2015, 163: 36−43. doi: 10.1016/j.ecss.2015.02.007
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