Message Board

Respected readers, authors and reviewers, you can add comments to this page on any questions about the contribution, review, editing and publication of this journal. We will give you an answer as soon as possible. Thank you for your support!

Name
E-mail
Phone
Title
Content
Verification Code
Volume 15 Issue 5
Sep.  2024
Turn off MathJax
Article Contents

LIN Chong, TIAN Guanghui, LIU Shaojun, XIN Hongyu, ZHAO Ting, GAN Yexing. Remote sensing analysis of spatiotemporal changes in POC sedimentation flux in the South China Sea[J]. Journal of Tropical Biology, 2024, 15(5): 599-607. doi: 10.15886/j.cnki.rdswxb.20240003
Citation: LIN Chong, TIAN Guanghui, LIU Shaojun, XIN Hongyu, ZHAO Ting, GAN Yexing. Remote sensing analysis of spatiotemporal changes in POC sedimentation flux in the South China Sea[J]. Journal of Tropical Biology, 2024, 15(5): 599-607. doi: 10.15886/j.cnki.rdswxb.20240003

Remote sensing analysis of spatiotemporal changes in POC sedimentation flux in the South China Sea

doi: 10.15886/j.cnki.rdswxb.20240003
  • Received Date: 2024-01-08
  • Rev Recd Date: 2024-02-07
  • This study is based on the monthly particulate organic carbon(POC) flux data of the euphotic layer and ETOPO5 water depth data inverted from MODIS(Moderate Resolution Imaging Spectroradiometer, MODIS)from 2009 to 2018 were used for POC vertical migration formula inversion and empirical threshold linear fitting to present the spatiotemporal distribution characteristics of POC sedimentation flux in the South China Sea from a macro perspective. MATLAB is used for data preprocessing such as synthesis analysis, error analysis and quality control of data, and the Martin curve is compared to carry out correlation verification analysis in non-shore areas(water depth greater than 100 m), and empirical thresholds and linear fitting are used to correct offshore areas(water depth less than 100 m). The results showed that there are obvious seasonal changes in POC deposition flux in the study area. The seasonal average values of POC deposition flux are 13.03 mg C·m-2·d-1 in spring and 14.25 mg C·m-2·d-1 in summer, 15.15 mg C·m-2·d-1 in autumn, and 17.99 mg C·m-2·d-1 in winter, with higher values in winter and autumn than in spring and summer. The overall distribution trend is that the POC deposition flux is higher in the insider than the outside of the bay, higher in the near shore than in the ocean basin, and higher in the shallow sea than in the deep sea. When the depth is less than or equal to 50 m, greater than 50 m,less than or equal to 100 m, and greater than 100 m, the average POC deposition flux is 46.39, 14.28, and 8.04 mg C·m-2·d-1, respectively. The total POC deposition flux in the study area throughout the year is approximately 19.04(15.72-22.36) TgC·a-1. These results are of great significance for understanding the carbon storage potential of the South China Sea, and at the same time provide a certain reference for research on blue carbon economic value accounting.
  • [1] CAI W J, DAI M, WANG Y. Air-sea exchange of carbon dioxide in ocean margins:a province-based synthesis[J].Geophysical Research Letters, 2006, 33(12):L12603.
    [2] RAVEN J A, FALKOWSKI P G. Oceanic sinks for atmospheric CO2[J]. Plant, Cell&Environment, 1999, 22(6):741-755.
    [3] VOLK T, HOFFERT M I. Ocean carbon pumps:analysis of relative strengths and efficiencies in ocean-driven atmospheric CO2\n changes[M]//SUNDQUIST E T,BROECKER W S. The Carbon Cycle and Atmospheric CO2\n:Natural Variations Archean to Present. Washington,D C:American Geophysical Union, 2013:99-110.
    [4] 焦念志,张传伦,李超,等.海洋微型生物碳泵储碳机制及气候效应[J].中国科学:地球科学, 2013, 43(1):1-18.
    [5] FALKOWSKI P G, BARBER R T. Biogeochemical controls and feedbacks on ocean primary production[J]. Science, 1998, 281(5374):200-207.
    [6] 张乃星,宋金明,贺志鹏.海水颗粒有机碳(POC)变化的生物地球化学机制[J].生态学报, 2006, 26(7):2328-2339.
    [7] 焦念志.海洋固碳与储碳:并论微型生物在其中的重要作用[J].中国科学:地球科学, 2012, 42(10):1473-1486.
    [8] MARTIN J H, KNAUER G A, KARL D M, et al.VERTEX:carbon cycling in the northeast Pacific[J].Deep Sea Research Part A Oceanographic Research Papers, 1987, 34(2):267-285.
    [9] BERNER R A. Burial of organic carbon and pyrite sulfur in the modern ocean; its geochemical and environmental significance[J]. American Journal of Science, 1982,282(4):451-473.
    [10] 崔万松,潘德炉,白雁,等.南海北部表层颗粒有机碳的季节和年际变化遥感分析[J].海洋学报, 2017,39(3):122-134.
    [11] 陈蔚芳.南海北部颗粒有机碳输出通量、季节变化及其调控过程[D].厦门:厦门大学, 2008.
    [12] 陈建芳,郑连福,陈荣华,等.南海颗粒物质的通量、组成及其与沉积物积累率的关系初探[J].沉积学报,1998, 16(3):14-19.
    [13] 刘少军,蔡大鑫,赵婷,等.基于卫星遥感的南海海域POC浓度时空变化特征研究[J].气象科技, 2023,51(1):134-141.
    [14] 彭诗云. 234Th/238U不平衡法研究南海北部陆架区颗粒有机碳的跨陆架输运[D].厦门:厦门大学, 2013.
    [15]
    [16] SIEGEL D A, BUESSELER K O, DONEY S C, et al.Global assessment of ocean carbon export by combining satellite observations and food-web models[J]. Global Biogeochemical Cycles, 2014, 28(3):181-196.
    [17] 林冲,冯经汉,韩静.基于GMI辐射计资料分析南海风速分布特征[J].电子技术与软件工程, 2021(7):195-197.
    [18]
    [19] 叶翔,李炎,黄邦钦,等.台湾海峡南部夏季的颗粒有机碳[J].海洋学报, 2009, 31(6):87-99.
    [20] 唐世林,陈楚群,詹海刚,等.南海真光层深度的遥感反演[J].热带海洋学报, 2007, 26(1):9-15.
    [21] CHEN J, ZHENG L, WIESNER M G, et al. Estimations of primary production and export production in the South China Sea based on sediment trap experiments[J]. Chinese Science Bulletin, 1998, 43(7):583-586.
    [22] RAN L, CHEN J, WIESNER M G, et al. Variability in the abundance and species composition of diatoms in sinking particles in the northern South China Sea:results from time-series moored sediment traps[J]. Deep Sea Research Part II:Topical Studies in Oceanography,2015, 122:15-24.
    [23] LI H, WIESNER M G, CHEN J, et al. Long-term variation of mesopelagic biogenic flux in the central South China Sea:impact of monsoonal seasonality and mesoscale eddy[J]. Deep Sea Research Part I:Oceanographic Research Papers, 2017, 126:62-72.
    [24] 焦念志,梁彦韬,张永雨,等.中国海及邻近区域碳库与通量综合分析[J].中国科学:地球科学, 2018,48(11):1393-1421.
    [25] 宋金明,徐亚岩,张英,等.中国海洋生物地球化学过程研究的最新进展[J].海洋科学, 2006, 30(2):69-77.
    [26] 宋金明.中国近海生态系统碳循环与生物固碳[J].中国水产科学, 2011, 18(3):703-711.
  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Article views(14) PDF downloads(0) Cited by()

Proportional views
Related

Remote sensing analysis of spatiotemporal changes in POC sedimentation flux in the South China Sea

doi: 10.15886/j.cnki.rdswxb.20240003

Abstract: This study is based on the monthly particulate organic carbon(POC) flux data of the euphotic layer and ETOPO5 water depth data inverted from MODIS(Moderate Resolution Imaging Spectroradiometer, MODIS)from 2009 to 2018 were used for POC vertical migration formula inversion and empirical threshold linear fitting to present the spatiotemporal distribution characteristics of POC sedimentation flux in the South China Sea from a macro perspective. MATLAB is used for data preprocessing such as synthesis analysis, error analysis and quality control of data, and the Martin curve is compared to carry out correlation verification analysis in non-shore areas(water depth greater than 100 m), and empirical thresholds and linear fitting are used to correct offshore areas(water depth less than 100 m). The results showed that there are obvious seasonal changes in POC deposition flux in the study area. The seasonal average values of POC deposition flux are 13.03 mg C·m-2·d-1 in spring and 14.25 mg C·m-2·d-1 in summer, 15.15 mg C·m-2·d-1 in autumn, and 17.99 mg C·m-2·d-1 in winter, with higher values in winter and autumn than in spring and summer. The overall distribution trend is that the POC deposition flux is higher in the insider than the outside of the bay, higher in the near shore than in the ocean basin, and higher in the shallow sea than in the deep sea. When the depth is less than or equal to 50 m, greater than 50 m,less than or equal to 100 m, and greater than 100 m, the average POC deposition flux is 46.39, 14.28, and 8.04 mg C·m-2·d-1, respectively. The total POC deposition flux in the study area throughout the year is approximately 19.04(15.72-22.36) TgC·a-1. These results are of great significance for understanding the carbon storage potential of the South China Sea, and at the same time provide a certain reference for research on blue carbon economic value accounting.

LIN Chong, TIAN Guanghui, LIU Shaojun, XIN Hongyu, ZHAO Ting, GAN Yexing. Remote sensing analysis of spatiotemporal changes in POC sedimentation flux in the South China Sea[J]. Journal of Tropical Biology, 2024, 15(5): 599-607. doi: 10.15886/j.cnki.rdswxb.20240003
Citation: LIN Chong, TIAN Guanghui, LIU Shaojun, XIN Hongyu, ZHAO Ting, GAN Yexing. Remote sensing analysis of spatiotemporal changes in POC sedimentation flux in the South China Sea[J]. Journal of Tropical Biology, 2024, 15(5): 599-607. doi: 10.15886/j.cnki.rdswxb.20240003
Reference (26)

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return