浏览全部资源
扫码关注微信
纸质出版日期： 2022-12-07 ，
扫 描 看 全 文
吕军，王胜强，孙德勇，聂君伟，焦红波，张海龙，梁涵玮.2022.近20年（2002—2020年）渤黄海真光层深度的时空变化遥感分析.遥感学报，26（12）： 2507-2517
Lyu J，Wang S Q，Sun D Y，Nie J W，Jiao H B，Zhang H L and Liang H W. 2022. Remote sensing of spatial and temporal variations of euphotic zone depth in Bohai Sea and Yellow Sea during recent 20 years （2002—2020）. National Remote Sensing Bulletin， 26（12）： 2507-2517
真光层深度
Z
eu
（Euphotic Zone Depth）是指光合有效辐照度衰减为水体表面处1%时所对应的深度。它是描述水质特性的重要参数，对浮游植物光合作用，全球碳循环以及海洋环境变化的研究具有重要意义。本文基于多年在渤黄海现场实测数据，建立了针对MODIS（Moderate Resolution Imaging Spectroradiometer）传感器的
Z
eu
遥感估算模型，该模型表现出良好的估算精度。在此基础上，利用2002年—2020年MODIS长时序卫星遥感数据，研究揭示了渤黄海
Z
eu
的时空变化规律，结果显示，渤黄海
Z
eu
具有近岸低、外海高的特点，并且明显表现出夏深冬浅的季节变化特征；长江口北舌状低值区夏季时往东北方向伸展，而在秋初时转向东南；在2002—2020年间，渤海、北黄海以及苏北浅滩的
Z
eu
单调变化，而南黄海、济州岛南及长江口北的
Z
eu
呈现波动式的变化趋势。此外，本文结合多源卫星遥感数据资料分析了
Z
eu
时空变化的驱动因素，结果显示，在渤海、南黄海、北黄海及苏北浅滩，
Z
eu
的时空变异受多种驱动因素的综合影响，其中海表面温度和光合有效辐射对
Z
eu
的变化呈正向驱动，而风速和总悬浮颗粒物浓度呈负向驱动；此外，长江径流量对长江口北
Z
eu
的变化也起着负向驱动作用，两者之间呈现强负相关关系（相关系数
R
=-0.55）。
Euphotic zone depth (
Z
eu
) 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
Z
eu
are closely related to the variability of water color elements. Consequently
Z
eu
is regarded as an indicator of water clarity
which may even have a certain indicative significance for ecosystems. Thus
marine researchers have prioritized
Z
eu
monitoring.
In this study
a remote sensing model was proposed to estimate
Z
eu
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 (
R
rs
) between 443 nm and 6S67 nm as an input.
In situ
data validations indicated that the algorithm shows good performance
with 0.86
R
2
(coefficient of determination)
4.14 root-mean square error
and 17.2% mean absolute percentage error. The model based on
R
rs
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
Z
eu
in the Bohai Sea and Yellow Sea. Results indicate that: (1)
Z
eu
is low in the coastal regions but high in offshore waters. Meanwhile
clear temporal variability in
Z
eu
was observed
showing that
Z
eu
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)
Z
eu
monotonously varied in the Bohai Sea
Northern Yellow Sea
and Subei Shoal from 2002 to 2020. In the Bohai Sea and Subei Shoal
Z
eu
showed a downward trend
while it displayed an upward trend in the Northern Yellow Sea. Meanwhile
Z
eu
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
Z
eu
in the Bohai Sea
Southern Yellow Sea
Northern Yellow Sea
and Subei Shoal are influenced by a variety of driving factors.
Z
eu
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
Z
eu
variations. Meanwhile
Z
eu
in the North of Yangtze River Estuary is strongly related with the amount of runoff (correlation coefficient
R
=-0.55).
真光层深度遥感估算MODIS渤黄海时空规律驱动因素
euphotic zone depthremote sensing estimationMODISBohai Sea and Yellow Seaspatial and temporal variationsdriving factors
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 [DOI: 10.1016/0278-4343(85)90022-6http://dx.doi.org/10.1016/0278-4343(85)90022-6]
Chen J J. 2007. Research on Euphotic Zone Depth Derived from Remote-Sensing and its Spatial-Temporal Characteristics over China Sea. Xiamen: Xiamen University
陈晶晶. 2007. 中国海真光层深度遥感反演及其时空变化研究. 厦门: 厦门大学 [DOI: 10.7666/d.y1343768http://dx.doi.org/10.7666/d.y1343768]
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
陈晶晶, 商少平, 商少凌. 2007. 台湾海峡真光层深度半分析算法遥感反演的真实性检验. 厦门大学学报(自然科学版), 46(S1): 12-17 [DOI: 10.3321/j.issn:0438-0479.2007.z1.003http://dx.doi.org/10.3321/j.issn:0438-0479.2007.z1.003]
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 [DOI: 10.1016/j.rse.2014.03.029http://dx.doi.org/10.1016/j.rse.2014.03.029]
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
刁新源. 2015. 黄海暖流、黄海冷水团及其春季演变过程研究. 青岛: 中国科学院研究生院(海洋研究所)
Dokulil M T and Teubner K. 2012. Deep living Planktothrix rubescens modulated by environmental constraints and climate forcing. Hydrobiologia, 698(1): 29-46 [DOI: 10.1007/s10750-012-1020-5http://dx.doi.org/10.1007/s10750-012-1020-5]
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
纪昱彤, 王宁, 陈洪举, 刘光兴. 2018. 2013年秋季渤黄海浮游植物的群落特征. 中国海洋大学学报(自然科学版), 48(S2): 31-41 [DOI: 10.16441/j.cnki.hdxb.20180165http://dx.doi.org/10.16441/j.cnki.hdxb.20180165]
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 [DOI: 10.1029/2006JC003802http://dx.doi.org/10.1029/2006JC003802]
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
李艳艳, 董庆, 任永政, 孔凡萍, 殷紫. 2020. 印度洋及太平洋海表盐度时空特征分析. 遥感学报, 24(10): 1193-1205 [DOI: 10.11834/jrs.20209068http://dx.doi.org/10.11834/jrs.20209068］
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 [DOI: 10.1016/j.rse.2014.03.025http://dx.doi.org/10.1016/j.rse.2014.03.025]
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 [DOI: 10.1016/j.dsr.2013.09.005http://dx.doi.org/10.1016/j.dsr.2013.09.005]
McCree K J. 1972. Test of current definitions of photosynthetically active radiation against leaf photosynthesis data. Agricultural Meteorology, 10: 443-453 [DOI: 10.1016/0002-1571(72)90045-3http://dx.doi.org/10.1016/0002-1571(72)90045-3]
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 [DOI: 10.1016/0967-0637(96)00059-3http://dx.doi.org/10.1016/0967-0637(96)00059-3]
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 [DOI: 10.4319/lo.1989.34.8.1545http://dx.doi.org/10.4319/lo.1989.34.8.1545]
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
屈月明, 蔡庆华, 申恒伦, 李斌. 2014. 丹江口水库不同水文期真光层深度特征及影响因素分析. 长江流域资源与环境, 23(1): 53-59 [DOI: 10.11870/cjlyzyyhj201401008http://dx.doi.org/10.11870/cjlyzyyhj201401008]
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 [DOI: 10.1016/j.rse.2010.08.016http://dx.doi.org/10.1016/j.rse.2010.08.016]
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 10.1007/s10872-011-0062-zhttp://dx.doi.org/10.1007/s10872-011-0062-z]
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))
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 [DOI: 10.1016/j.watres.2019.03.081http://dx.doi.org/10.1016/j.watres.2019.03.081]
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 [DOI: 10.1016/j.asr.2005.04.045http://dx.doi.org/10.1016/j.asr.2005.04.045]
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
唐世林, 陈楚群, 詹海刚, 许大志, 刘大召. 2007. 南海真光层深度的遥感反演. 热带海洋学报, 26(1): 9-15 [DOI: 10.3969/j.issn.1009-5470.2007.01.002http://dx.doi.org/10.3969/j.issn.1009-5470.2007.01.002]
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
王辉武, 于非, 吕连港, 刁新源, 郭景松. 2009. 冬季黄海暖流区的空间变化和年际变化特征. 海洋科学进展, 27(2): 140-148 [DOI: 10.3969/j.issn.1671-6647.2009.02.003http://dx.doi.org/10.3969/j.issn.1671-6647.2009.02.003]
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 [DOI: 10.1007/BF02850454http://dx.doi.org/10.1007/BF02850454]
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 [DOI: 10.390/rs8100841http://dx.doi.org/10.390/rs8100841]
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 [DOI: 10.1016/j.scitotenv.2020.142270http://dx.doi.org/10.1016/j.scitotenv.2020.142270]
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 [DOI: 10.1016/j.jmarsys.2003.09.012http://dx.doi.org/10.1016/j.jmarsys.2003.09.012]
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
熊学军, 胡筱敏, 郭延良, 于龙, 陈亮, 薛宇欢. 2019. 黄海暖流抵近青岛近海分支的确认及形态结构特征. 中国科学: 地球科学, 49: 1103-1115 [DOI:/10.1007/s11430-018-9331-1http://dx.doi.org//10.1007/s11430-018-9331-1]
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
杨欣, 苏华, 黎文娥, 黄琳瑾, 汪小钦, 严晓海. 2019. 全球海洋次表层温度异常遥感反演的季节时空变化特征. 遥感学报, 23(5): 997-1010 [DOI:10.11834/jrs.20198391http://dx.doi.org/10.11834/jrs.20198391]
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
姚晴晴. 2012. 东中国海真光层深度的遥感反演方法的印证及应用. 青岛: 中国海洋大学
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
张江泉, 郑崇伟, 李荣川, 钱粤海. 2013. 黄渤海风、浪、流等海洋水文要素特征分析. 科技资讯, (31): 112-115 [DOI: 10.3969/j.issn.1672-3791.2013.31.071http://dx.doi.org/10.3969/j.issn.1672-3791.2013.31.071]
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
张运林, 冯胜, 马荣华, 刘明亮, 秦伯强. 2008. 太湖秋季真光层深度空间分布及浮游植物初级生产力的估算. 湖泊科学, 20(3): 380-388 [DOI: 10.18307/2008.0319http://dx.doi.org/10.18307/2008.0319]
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
赵晨英, 臧家业, 刘军, 孙涛, 冉祥滨. 2016. 黄渤海氮磷营养盐的分布、收支与生态环境效应. 中国环境科学, 36(7): 2115-2127 [DOI: 10.3969/j.issn.1000-6923.2016.07.032http://dx.doi.org/10.3969/j.issn.1000-6923.2016.07.032]
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 [DOI: 10.1016/j.rse.2012.12.009http://dx.doi.org/10.1016/j.rse.2012.12.009]
Zhou C Z and Sun J S. 1981. On the genesis of the shoal off North Jiangsu. Marine Geology Research, 1(1): 83-91
周长振, 孙家淞. 1981. 试论苏北岸外浅滩的成因. 海洋地质研究, 1(1): 83-91 [DOI: CNKI:SUN:HYDZ.0.1981-01-010http://dx.doi.org/CNKI:SUN:HYDZ.0.1981-01-010]
相关作者
相关机构
京公网安备11010802024621