基于FVCOM的物理—生物地球化学耦合模型构建与应用

doi:10.3969/j.issn.1000-5641.201941008

摘要/Abstract

摘要： 通过使用FABM框架将水动力模型FVCOM与生态模型ERSEM进行耦合，构建了一个新的适用于近岸复杂地形并完整描述了低营养级生态系统的物理—生物地球化学耦合模型：FVCOM-FABM-ERSEM. 基于该耦合模型分别建立了垂向一维模型和长江口三维模型. 使用欧洲L4站的多年观测资料对垂向一维模型（1DV）进行验证，验证结果良好. 使用长江口三维模型模拟长江口及其附近海域2013—2016年的历史过程，经与营养盐和Chl-a观测数据校验，并利用MODIS卫星遥感的海洋表层Chl-a分布数据对春季藻类暴发的空间分布进行了验证，证明建立的耦合模型能正确刻画长江口区域的温度、盐度、硝酸盐、磷酸盐、Chl-a等物理和生物地球化学过程. 同时，使用模型对长江口锋面区域的特征进行了再现，并讨论了盐度锋、泥沙锋、营养盐锋和叶绿素锋相伴产生与相互作用的关系.

关键词: FVCOM, ERSEM, FABM, 生物地球化学过程, 耦合

Abstract: By combining the hydrodynamic model FVCOM with the biological model ERSEM, based on FABM, this paper develops a new physical-biogeochemical model: FVCOM-FABM-ERSEM. The combined model is suitable for application to coastal areas and is one of the most comprehensive ecosystem models for the lower trophic levels of the marine food-web. Using the combined model, a one-dimensional vertical (1DV) model and a three-dimensional Changjiang Estuary model were established. The results of the 1DV model were consistent with observation data from the European L4 Station. This paper also simulates the physical and biogeochemical processes of Changjiang Estuary from 2013 to 2016 with the 3D Changjiang Estuary model. The distribution of temperature, salinity, nitrate, phosphate, and chlorophyll-a levels were all found to be consistent with observation data from cruises and MODIS data in the spring when algal blooms occur. The characteristics of the front dynamics of Changjiang Estuary were well represented. The relationship between salinity, turbidity, nutrients, and chlorophyll around the plume front was determined through modeling, indicating a significant co-occurrence effect along the front of physical and biological processes.

Key words: FVCOM, ERSEM, FABM, biogeochemical, coupling

中图分类号:

施沈阳, 葛建忠, 陈建忠, 郑晓琴, 丁平兴. 基于FVCOM的物理—生物地球化学耦合模型构建与应用[J]. 华东师范大学学报（自然科学版）, 2020, 2020(3): 55-67.

SHI Shenyang, GE Jianzhong, CHEN Jianzhong, ZHENG Xiaoqin, DING Pingxing. The development and application of a physical-biogeochemical coupling model based on FVCOM[J]. Journal of East China Normal University(Natural Science), 2020, 2020(3): 55-67.

参考文献

[1] 连展, 魏泽勋, 王永刚, 等. 中国近海环流数值模拟研究综述[J]. 海洋科学进展, 2009(2): 250-265. DOI: 10.3969/j.issn.1671-6647.2009.02.016
[2] MOLL A, RADACH G. Review of three-dimensional ecological modelling related to the North Sea shelf system[J]. Progress in Oceanography, 2003, 57(2): 175-217. DOI: 10.1016/S0079-6611(03)00067-3.
[3] 曲大鹏. POM海洋数值模式及对渤、黄、东海潮汐潮流模拟试验的初步分析[D]. 山东青岛: 国家海洋局第一海洋研究所, 2008.
[4] 王彪, 朱建荣. 基于FVCOM模型的珠江河口及其邻近海域的潮汐模拟[J]. 热带海洋学报, 2012(4): 17-27
[5] LIM H, KIM C S, PARK K, et al. Down-scaled regional ocean modeling system (ROMS) for high-resolution coastal hydrodynamics in Korea[J]. Acta Oceanologica Sinica, 2013, 32(9): 50-61. DOI: 10.1007/s13131-013-0352-y.
[6] 储鏖. Delft3D在天文潮与风暴潮耦合数值模拟中的应用[J]. 海洋预报, 2004(3): 29-36. DOI: 10.3969/j.issn.1003-0239.2004.03.005
[7] PEÑA M A, MASSON D, CALLENDAR W. Annual plankton dynamics in a coupled physical-biological model of the Strait of Georgia, British Columbia[J]. Progress in Oceanography, 2016, 146: 58-74. DOI: 10.1016/j.pocean.2016.06.002.
[8] 杨金湘, 王佳. 台湾海峡冬、夏季氮通量的数值模拟研究[J]. 海洋学报, 2018(4): 30-40
[9] LIU G, CHAI F. Seasonal and interannual variability of primary and export production in the South China Sea: A three-dimensional physical - biogeochemical model study[J]. Ices Journal of Marineence, 2009, 2(66): 420-431.
[10] 郭琳. 加利福尼亚流系物理-生态过程的时空演变特征及其动力学机制研究[D]. 山东青岛: 中国海洋大学, 2015.
[11] 张璇, 江毓武. 珠江口夏季底层缺氧现象的数值模拟[J]. 厦门大学学报(自然科学版), 2011(6): 1042-1046
[12] 寿玮玮. 大气沉降对渤海营养盐的贡献及生态效应[D]. 上海: 华东师范大学, 2018.
[13] FENG T, WANG C, HOU J, et al. Effect of inter-basin water transfer on water quality in an urban lake: A combined water quality index algorithm and biophysical modelling approach[J]. Ecological Indicators, 2018, 92: 61-71. DOI: 10.1016/j.ecolind.2017.06.044.
[14] CHEN C, BEARDSLRY R C, COWLES G. An unstructured grid, Finite-Volume Community Ocean Model: FVCOM user manual[R]. SMAST/UMASSD-13-0701, 2013.
[15] BUTENSCHÖN M, CLARK J. ERSEM 15.06: A generic model for marine biogeochemistry and the ecosystem dynamics of the lower trophic levels[J]. Geoscientific Model Development, 2015(8): 7063-7187.
[16] BRUGGEMAN J, BOLDING K. A general framework for aquatic biogeochemical models[J]. Environmental Modelling & Software, 2014, 61: 249-265. DOI: 10.1016/j.envsoft.2014.04.002.
[17] 郑沛楠, 宋军, 张芳苒, 等. 常用海洋数值模式简介[J]. 海洋预报, 2008(4): 108-120. DOI: 10.3969/j.issn.1003-0239.2008.04.016
[18] XIE Y, TILSTONE G H, WIDDICOMBE C, et al. Effect of increases in temperature and nutrients on phytoplankton community structure and photosynthesis in the western English Channel[J]. Marine Ecology Progress Series, 2015, 519: 61-73. DOI: 10.3354/meps11101.
[19] CHEN C, LIU H, BEARDSLEY R C. An unstructured grid, Finite-Volume, Three-Dimensional, Primitive Equations Ocean Model: Application to coastal ocean and estuaries[J]. Journal of Atmospheric and Oceanic Technology, 2003, 20(1): 159-186. DOI: 10.1175/1520-0426(2003)020<0159:AUGFVT>2.0.CO;2.
[20] 宋洪军, 季如宝, 王宗灵. 近海浮游植物水华动力学和生物气候学研究综述[J]. 地球科学进展, 2011(3): 257-265
[21] CORNES R C, JONES P D. An examination of storm activity in the northeast Atlantic region over the 1851-2003 period using the EMULATE gridded MSLP data series[J]. Journal of Geophysical Research, 2011, 116(D16). DOI: 10.1029/2011JD016007.
[22] FINDLAY H S, YOOL A, NODALE M, et al. Modelling of autumn plankton bloom dynamics[J]. Journal of Plankton Research, 2006, 28(2): 209-220. DOI: 10.1093/plankt/fbi114.
[23] EDWARDS M, RICHARDSON A J. Impact of climate change on marine pelagic phenology and trophic mismatch[J]. Nature (London), 2004, 430(7002): 881-884. DOI: 10.1038/nature02808.
[24] 杜胜蓝, 黄岁樑, 臧常娟, 等. 浮游植物现存量表征指标间相关性研究Ⅰ: 叶绿素a与生物量[J]. 水资源与水工程学报, 2011(1): 40-44
[25] 杜胜蓝, 黄岁樑, 臧常娟, 等. 浮游植物现存量表征指标间相关性研究Ⅱ: 叶绿素a与藻密度[J]. 水资源与水工程学报, 2011(2): 44-49
[26] GE J, CHEN C, QI J, et al. A dike-groyne algorithm in a terrain-following coordinate ocean model (FVCOM): Development, validation and application[J]. Ocean Modelling, 2012, 47: 26-40. DOI: 10.1016/j.ocemod.2012.01.006.
[27] 陶英佳. 长江口盐水入侵自动化预报系统的设计与检验[D]. 上海: 华东师范大学, 2015.
[28] LEE K, TONG L T, MILLERO F J, et al. Global relationships of total alkalinity with salinity and temperature in surface waters of the world's oceans[J]. Geophysical Research Letters, 2006, 33(19): L19605. DOI: 10.1029/2006GL027207.
[29] SOKOLETSKY L, YANG X, SHEN F. MODIS-based retrieval of suspended sediment concentration and diffuse attenuation coefficient in Chinese estuarine and coastal waters[C]//Ocean Remote Sensing & Monitoring from Space. International Society for Optics and Photonics, 2014.
[30] LAMQUIN N, MAZERAN C, DOXARAN D, et al. Assessment of GOCI radiometric products using MERIS, MODIS and field measurements[J]. Ocean Science Journal, 2012, 47(3): 287-311. DOI: 10.1007/s12601-012-0029-z.
[31] XING X, ZHAO D, LIU Y, et al. An overview of remote sensing of chlorophyll fluorescence[J]. Ocean Science Journal, 2007, 42(1): 49-59. DOI: 10.1007/BF03020910.
[32] WANG K S, CHENG H, DONG L X. A hydrographic comparison of the two sides of the Changjiang plume front[C]//Proceedings of International Symposium on Biochemical Study of the Changjiang Estuary and its Adjacent Coastal Waters of the East China Sea. Beijing: China Ocean Press, 1990:62-75.
[33] 胡方西, 胡辉, 谷国传. 长江口锋面研究[M]. 上海: 华东师范大学出版社, 2002.
[34] 闫庆. 长江口外锋区浮游植物生物量及其影响因子的观测与数值模拟[D]. 上海: 上海海洋大学, 2016.
[35] TIAN R C, HU F X, MARTIN J M. Summer nutrient fronts in the Changjiang (Yantze River) estuary[J]. Estuarine, Coastal and Shelf Science, 1993, 37(1): 27-41. DOI: 10.1006/ecss.1993.1039.
[36] 沈志良. 长江口海区理化环境对初级生产力的影响[J]. 海洋湖沼通报, 1993(1): 47-51
[37] 周淑青, 沈志良, 李峥, 等. 长江口最大浑浊带及邻近水域营养盐的分布特征[J]. 海洋科学, 2007, 31(6): 34-42. DOI: 10.3969/j.issn.1000-3096.2007.06.008
[38] 杨波. 三峡工程对长江口羽状锋区生物地球化学特征的影响[D]. 山东青岛: 国家海洋局第一海洋研究所, 2012.
[39] 张传松. 长江口及邻近海域赤潮生消过程特征及其营养盐效应分析[D]. 山东青岛: 中国海洋大学, 2008.