Remote sensing of spatial and temporal variations of euphotic zone depth in the Bohai Sea and Yellow Sea during recent 20 years (2002—2020)

  • role: First author第一作者
  • Affiliation:

    School of Marine Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China

  • Email:danmozhiyou@qq.com
  • Introduction:E-mail danmozhiyou@qq.com
LYU Jun1,  
  • role: Corresponding author通信作者
  • Affiliation:

    School of Marine Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China

  • Email:shengqiang.wang@nuist.edu.cn
  • Introduction:E-mail shengqiang.wang@nuist.edu.cn
WANG Shengqiang1*,  
  • Affiliation:

    School of Marine Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China

SUN Deyong1,  
  • Affiliation:

    School of Marine Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China

NIE Junwei1,  
  • Affiliation:

    National Marine Data and Information Service, Tianjin 300171, China

JIAO Hongbo2,  
  • Affiliation:

    School of Marine Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China

ZHANG Hailong1,  
  • Affiliation:

    Key Laboratory of Coastal Zone Exploitation and Protection, Ministry of Natural Resources, Nanjing 210024, China

    School of Geographic Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China

LIANG Hanwei34

résumé

Euphotic zone depth (Zeu) is defined as the depth at which photosynthetic available radiation is 1% of its surface value. This zone is in the upper water column, where marine phytoplankton can effectively photosynthesize, which is essential in air–sea interaction through transfer of either gases or heat, especially with reference to greenhouse gases, such as carbon dioxide. Accordingly, the euphotic zone has an important influence on research into marine primary productivity, phytoplankton biomass, and global carbon cycle. Meanwhile, the spatial and temporal variations of Zeu are closely related to the variability of water color elements. Consequently, Zeu is regarded as an indicator of water clarity, which may even have a certain indicative significance for ecosystems. Thus, marine researchers have prioritized Zeu monitoring.In this study, a remote sensing model was proposed to estimate Zeu from the moderate resolution imaging spectroradiometer (MODIS) satellite data based on in situ data collected from several cruises in the Bohai Sea and Yellow Sea. The designed model uses the logarithm of slope of the remote sensing reflectance (Rrs) between 443 nm and 6S67 nm as an input. In situ data validations indicated that the algorithm shows good performance, with 0.86 R2 (coefficient of determination), 4.14 root-mean square error, and 17.2% mean absolute percentage error. The model based on Rrs efficiently performs compared with the current common models.The long term MODIS satellite data (2002—2020) were further used to investigate the spatial and temporal distributions of Zeu in the Bohai Sea and Yellow Sea. Results indicate that: (1) Zeu is low in the coastal regions but high in offshore waters. Meanwhile, clear temporal variability in Zeu was observed, showing that Zeu is typically high in summer but low in winter for most regions. (2) The tongue-shaped structure with a low value in the North of Yangtze River Estuary extends to the northeast in summer and turns to the southeast in early autumn. (3) Zeu monotonously varied in the Bohai Sea, Northern Yellow Sea, and Subei Shoal from 2002 to 2020. In the Bohai Sea and Subei Shoal, Zeu showed a downward trend, while it displayed an upward trend in the Northern Yellow Sea. Meanwhile, Zeu indicated a fluctuating trend in the Southern Yellow Sea, South of Jeju Island, and North of Yangtze River Estuary.Furthermore, the potential driving factors responsible for these spatiotemporal variations were examined based on multi-source satellite data. The results indicate that the spatial and temporal variations of Zeu in the Bohai Sea, Southern Yellow Sea, Northern Yellow Sea, and Subei Shoal are influenced by a variety of driving factors. Zeu is positively driven by the sea surface temperature and photosynthetic active radiation but negatively driven by wind speed and total suspended matter concentration. Specifically, the total suspended matter concentration has a significant effect on the Zeu variations. Meanwhile, Zeu in the North of Yangtze River Estuary is strongly related with the amount of runoff (correlation coefficient R=-0.55).

mots-clés

euphotic zone depth;remote sensing estimation;MODIS;Bohai Sea and Yellow Sea;spatial and temporal variations;driving factors

References

  1. 1.
    Beardsley R C, Limeburner R, Yu H and Cannon G A. 1985. Discharge of the Changjiang (Yangtze River) into the East China Sea. Continental Shelf Research, 4(1/2): 57-76
  2. 2.
    Chen J J. 2007. Research on Euphotic Zone Depth Derived from Remote-Sensing and its Spatial-Temporal Characteristics over China Sea. Xiamen: Xiamen University
  3. 3.
    Chen J J, Shang S P and Shang S L. 2007. A test of a semi-analytical algorithm for euphotic zone depth in the Taiwan Strait. Journal of Xiamen University (Natural Science), 46(S1): 12-17
  4. 4.
    de Moraes Rudorff N, Frouin R, Kampel M, Goyens C, Meriaux X, Schieber B and Mitchell B G. 2014. Ocean-color radiometry across the Southern Atlantic and Southeastern Pacific: accuracy and remote sensing implications. Remote Sensing of Environment, 149: 13-32
  5. 5.
    Diao X Y. 2015. The Study of Yellow Sea Warm Current, Yellow Sea Cold Water Mass and their Evolution Process in Spring. Qingdao: Institute of Oceanology, Chinese Academy of Sciences
  6. 6.
    Dokulil M T and Teubner K. 2012. Deep living Planktothrix rubescens modulated by environmental constraints and climate forcing. Hydrobiologia, 698(1): 29-46
  7. 7.
    Ji Y T, Wang N, Chen H J and Liu G X. 2018. Phytoplankton community structure in the Bohai and the Huanghai in autumn 2013. Journal of Ocean University of China (Natural Sciences), 48(S2): 31-41
  8. 8.
    Lee Z P, Weidemann A, Kindle J, Arnone R, Carder K L and Davis C. 2007. Euphotic zone depth: its derivation and implication to ocean-color remote sensing. Journal of Geophysical Research: Oceans, 112(C3): C03009
  9. 9.
    Li Y Y,Dong Q,Ren Y Z,Kong F P and Yin Z. 2020. Spatiotemporal characteristics of sea surface salinity of Indian and Pacific Oceans. Journal of Remote Sensing (Chinese), 24(10):1193-1205
  10. 10.
    Majozi N P, Salama M S, Bernard S, Harper D M and Habte M G. 2014. Remote sensing of euphotic depth in shallow tropical inland waters of Lake Naivasha using MERIS data. Remote Sensing of Environment, 148: 178-189
  11. 11.
    Marra J F, Lance V P, Vaillancourt R D and Hargreaves B R. 2014. Resolving the ocean’s euphotic zone. Deep Sea Research Part Ⅰ: Oceanographic Research Papers, 83: 45-50
  12. 12.
    McCree K J. 1972. Test of current definitions of photosynthetically active radiation against leaf photosynthesis data. Agricultural Meteorology, 10: 443-453
  13. 13.
    Morel A, Antoine D, Babin M and Dandonneau Y. 1996. Measured and modeled primary production in the northeast Atlantic (EUMELI JGOFS program): the impact of natural variations in photosynthetic parameters on model predictive skill. Deep Sea Research Part Ⅰ: Oceanographic Research Papers, 43(8): 1273-1304
  14. 14.
    Morel A and Berthon J F. 1989. Surface pigments, algal biomass profiles, and potential production of the euphotic layer: relationships reinvestigated in view of remote-sensing applications. Limnology and Oceanography, 34(8): 1545-1562
  15. 15.
    Qu Y M, Cai Q H, Shen H L and Li B. 2014. Variation and influencing factors of euphotic depth in Danjiangkou reservoir in different hydrological periods. Resources and Environment in the Yangtze Basin, 23(1): 53-59
  16. 16.
    Shang S L, Lee Z and Wei G M. 2011. Characterization of MODIS-derived euphotic zone depth: results for the China Sea. Remote Sensing of Environment, 115(1): 180-186
  17. 17.
    Siswanto E, Tang J W, Yamaguchi H, Ahn Y H, Ishizaka J, Yoo S, Kim S W, Kiyomoto Y, Yamada K, Chiang C and Kawamura H. 2011. Empirical ocean-color algorithms to retrieve chlorophyll-a, total suspended matter, and colored dissolved organic matter absorption coefficient in the Yellow and East China Seas. Journal of Oceanography, 67(5): 627-650 [DOI ]
  18. 18.
    Song D B. 2019. Temporal-Spatial Distribution and Countermeasures Study of Algae Disaster in the Bohai and Yellow Sea based on Multi-Source Data. Yantai: University of Chinese Academy of Science (Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences) (宋德彬. 2019. 基于多源数据的黄渤海藻类灾害时空分布及对策研究. 烟台: 中国科学院大学(中国科学院烟台海岸带研究所))
  19. 19.
    Sun D Y, Huan Y, Wang S Q, Qiu Z F, Ling Z B, Mao Z H and He Y J. 2019. Remote sensing of spatial and temporal patterns of phytoplankton assemblages in the Bohai Sea, Yellow Sea, and East China Sea. Water Research, 157: 119-133
  20. 20.
    Tang D L, Kawamura H, Oh I S and Baker J. 2006. Satellite evidence of harmful algal blooms and related oceanographic features in the Bohai Sea during autumn 1998. Advances in Space Research, 37(4): 681-689
  21. 21.
    Tang S L, Chen C Q, Zhan H G, Xu D Z and Liu D Z. 2007. Retrieval of euphotic layer depth of South China Sea by remote sensing. Journal of Tropical Oceanography, 26(1): 9-15
  22. 22.
    Wang H W, Yu F, Lü L G, Diao X Y and Guo J S. 2009. Characteristics of spatial and interannual variation in the Yellow Sea warm current area in winter. Advances in Marine Science, 27(2): 140-148
  23. 23.
    Wang J and Yuan Y L. 1988. Numerical modelling of wintertime circulation in the East China Sea. Chinese Journal of Oceanology and Limnology, 6(4): 300-319
  24. 24.
    Wang S Q, Huan Y, Qiu Z F, Sun D Y, Zhang H L, Zheng L F and Xiao C. 2016. Remote sensing of particle cross-sectional area in the Bohai Sea and Yellow Sea: algorithm development and application implications. Remote Sensing, 8(10): 841
  25. 25.
    Wang S Q, Lv J, Nie J W, Sun D Y, Liang H W, Qiu Z F and Yang W. 2021. Dynamics of euphotic zone depth in the Bohai Sea and Yellow Sea. Science of the Total Environment, 751: 142270
  26. 26.
    Wei H, Sun J, Moll A and Zhao L. 2004. Phytoplankton dynamics in the Bohai Sea—observations and modelling. Journal of Marine Systems, 44(3/4): 233-251
  27. 27.
    Xiong X J, Hu X M, Guo Y L, Yu L, Chen L, Xue Y H. 2019. Existence, morphology and structure of the Yellow Sea Warm Current Branch approaching waters offshore Qingdao, China. Science China Earth Sciences, 62: 1167–1180
  28. 28.
    Yang X, Su H, Li W E, Huang L J, Wang X Q and Yan X H. 2019. Seasonal-spatial variations in satellite-derived global subsurface temperature anomalies. Journal of Remote Sensing, 23(5): 997-1010
  29. 29.
    Yao Q Q. 2012. Validation and Application of Retrieval Algorithm for Remote Sensing of Euphotic Zone Depth in the Eastern China Seas. Qingdao: Ocean University of China
  30. 30.
    Zhang J Q, Zheng C W, Li R C and Qian Y H. 2013. Analysis of sea surface wind speed, wave and current in the Bohai Sea and Yellow Sea. Science and Technology Information, (31): 112-115
  31. 31.
    Zhang Y L, Feng S, Ma R H, Liu M L and Qin B Q. 2008. Spatial pattern of euphotic depth and estimation of phytoplankton primary production in Lake Taihu in autumn 2004. Journal of Lake Sciences, 20(3): 380-388
  32. 32.
    Zhao C Y, Zang J Y, Liu J, Sun T and Ran X B. 2016. Distribution and budget of nitrogen and phosphorus and their influence on the ecosystem in the Bohai Sea and Yellow Sea. China Environmental Science, 36(7): 2115-2127
  33. 33.
    Zhao J, Barnes B, Melo N, English D, Lapointe B, Muller-Karger F, Schaeffer B and Hu C M. 2013. Assessment of satellite-derived diffuse attenuation coefficients and euphotic depths in South Florida coastal waters. Remote Sensing of Environment, 131: 38-50
  34. 34.
    Zhou C Z and Sun J S. 1981. On the genesis of the shoal off North Jiangsu. Marine Geology Research, 1(1): 83-91

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