The dynamic observation of dissolved organic matter in the Zhujiang (Pearl River) Estuary in China from space

LIU Dong; BAI Yan; HE Xianqiang; PAN Delu; WANG Difeng; WEI Ji'an; ZHANG Lin

doi:10.1007/s13131-017-1248-7

珠江口溶解有机物的遥感动态监测

doi: 10.1007/s13131-017-1248-7

1.
卫星海洋环境动力学国家重点实验室, 国家海洋局第二海洋研究所, 杭州, 310012;中科院流域地理学重点实验室, 中国科学院南京地理与湖泊研究所, 南京, 210008
2.
卫星海洋环境动力学国家重点实验室, 国家海洋局第二海洋研究所, 杭州, 310012

基金项目: The National Key Research and Development Progam of China under contract No.2017YFA0603003; the National Basic Research Program (973 Program) of China under contract No. 2015CB954002; the Public Science and Technology Research Funds Project of Ocean under contract No. 201505003; the National Natural Science Foundation of China under contract Nos 41676170, 41676172, 41476155, 41621064 and 41406202; the Project of State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration of China under contract No. SOEDZZ1801;the Research Startup Project of Nanjing Instiute of Geography and Limnology, Chinese Academy of Sciences under contract No. Y7SL051001.

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- 收稿日期: 2017-06-14

The dynamic observation of dissolved organic matter in the Zhujiang (Pearl River) Estuary in China from space

1.
State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China;Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
2.
State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China

摘要

摘要: 河口有色溶解有机物（colored dissolved organic matter,CDOM）的分布是各种物理-生物地球化学过程共同作用的结果。为实现河口高动态变化CDOM的监测，遥感是一种重要的手段。由珠江口四个不同季节的航次获得的实测数据，本文构建了一个遥感算法以反演CDOM在400 nm的吸收系数（a_CDOM （400））。该算法使用以波段反射率比值R_rs （667）/R_rs （443）和R_rs （748）/R_rs （412）为自变量。将构建的算法应用于2002-2014年的MODIS/Aqua数据，本文计算了珠江口不同季节的a_CDOM （400）气候态分布。CDOM的分布主要受珠江径流量和区域水下地形特征的影响。沿着垂直于水深梯度的断面，气候态a_CDOM （400）呈指数减少（y=ae^bx,b<0），但不同季节差异很大。珠江口CDOM主要是河流淡水输运而来。其中，富里酸比例随盐度的增加而降低。基于构建的算法、CDOM保守混合方程和径流量，本文由MODIS/Aqua数据进一步估算了2002-2014年夏季和冬季珠江DOC的有效入海浓度和有效入海通量。珠江的有效入海浓度和有效入海通量都与流量存在正相关关系，且在夏季的相关性更明显，R2分别为0.698和0.9657。
- 有色溶解有机物 /
- 溶解有机碳 /
- 珠江口 /
- 河流有效入海通量 /
- 遥感
Abstract: The distributions of estuarine colored dissolved organic matter (CDOM) are the combined results of physical-biogeochemical processes. Remote sensing is needed to monitor highly dynamically estuarine CDOM. Using in situ data from four seasonal cruises, an algorithm is developed to estimate CDOM absorption coefficient at 400 nm (a_CDOM(400)) in the Zhujiang (Pearl River) Estuary (ZJE). The algorithm uses band ratios of R_rs(667)/R_rs(443) and R_rs(748)/R_rs(412). By applying it to moderate resolution imaging spectroradiometer onboard Aqua satellite (MODIS/Aqua) data from 2002 to 2014, seasonal climatology a_CDOM(400) in the ZJE is calculated. CDOM distributions are majorly influenced by water discharge from the Zhujiang River and underwater topography. Along the section vertical to a water depth gradient, the seasonal a_CDOM(400) exponentially decreased (y=ae^bx, b<0), but with great differences among seasons. Riverine fresh water is the primary source of CDOM in the ZJE. Fulvic acid fraction decreases with increasing salinity. Using developed algorithms, conservative CDOM mixing equation, and river discharge, effective riverine end-member concentration and flux of dissolved organic carbon (DOC) in summer and winter from 2002 to 2014 are first estimated from the MODIS/Aqua data. Both effective riverine end-member DOC concentration and flux are positively related to the river discharge, significantly in summer with R² of 0.698 for concentration and 0.965 7 for flux.
- colored dissolved organic matter /
- dissolved organic carbon /
- Zhujiang (Pearl River) Estuary /
- effective riverine end-member flux /
- remote sensing

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参考文献(55)

Amon R M W, Benner R. 1996. Bacterial utilization of different size classes of dissolved organic matter. Limnology and Oceanography, 41(1):41-51

Arenz R F Jr, Lewis W M Jr, Saunders J F. 1996. Determination of chlorophyll and dissolved organic carbon from reflectance data for Colorado reservoirs. International Journal of Remote Sensing, 17(8):1547-1566

Bai Yan, Pan Delu, Cai Weijun, et al. 2013. Remote sensing of salinity from satellite-derived CDOM in the Changjiang River dominated East China Sea. Journal of Geophysical Research:Oceans, 118(1):227-243

Bai Yan, He Xianqiang, Pan D, et al. 2014. Summertime Changjiang River plume variation during 1998-2010. Journal of Geophysical Research:Oceans, 119(9):6238-6257

Bai Yan, Huang T H, He Xianqiang, et al. 2015. Intrusion of the Pearl River plume into the main channel of the Taiwan Strait in summer. Journal of Sea Research, 95:1-15

Bailey S W, Werdell P J. 2006. A multi-sensor approach for the on-orbit validation of ocean color satellite data products. Remote Sensing of Environment, 102(1–2):12-23

Bauer J E, Cai W J, Raymond P A, et al. 2013. The changing carbon cycle of the coastal ocean. Nature, 504(7478):61-70

Belanger S, Babin M, Larouche P. 2008. An empirical ocean color algorithm for estimating the contribution of chromophoric dissolved organic matter to total light absorption in optically complex waters. Journal of Geophysical Research:Oceans, 113(C4):C04027

Cai Wei-Jun, Dai Minhan, Wang Yongchen, et al. 2004. The biogeochemistry of inorganic carbon and nutrients in the Pearl River estuary and the adjacent northern South China Sea. Continental Shelf Research, 24(12):1301-1319

Cai Wei-Jun, Guo Xianghui, Chen C T A, et al. 2008. A comparative overview of weathering intensity and HCO3- flux in the world's major rivers with emphasis on the Changjiang, Huanghe, Zhujiang (Pearl) and Mississippi Rivers. Continental Shelf Research, 28(12):1538-1549

Callahan J, Dai Minhan, Chen R F, et al. 2004. Distribution of dissolved organic matter in the Pearl River Estuary, China. Marine Chemistry, 89(1–4):211-224

Carder K L, Chen F R, Lee Zhongping, et al. 2003. MODIS Ocean Science Team-Algorithm Theoretical Basis Document. ATBD 19, Case 2 Chlorophyll a, Version 7. NASA MODIS

Carder K L, Steward R G, Harvey G R, et al. 1989. Marine humic and fulvic acids:Their effects on remote sensing of ocean chlorophyll. Limnology and Oceanography, 34(1):68-81

Chen Chuqun, Shi Ping, Zhan Haigang. 2003. A local algorithm for estimation of yellow substance (gelbstoff) in coastal waters from SeaWiFS data:Pearl River estuary, China. International Journal of Remote Sensing, 24(5):1171-1176

Chen Hao, Meng Wei, Zheng Bing-Hui, et al. 2013. Optical signatures of dissolved organic matter in the watershed of a globally large river (Yangtze River, China). Limnologica-Ecology and Management of Inland Waters, 43(6):482-491

Chen Zhiqiang, Li Yan, Pan Jianming. 2004. Distributions of colored dissolved organic matter and dissolved organic carbon in the Pearl River Estuary, China. Continental Shelf Research, 24(16):1845-1856

Dai Minhan, Martin J M, Hong Huasheng, et al. 2000. ZJEliminary study on the dissolved and colloidal organic carbon in the Zhujiang River estuary. Chinese Journal of Oceanology and Limnology, 18(3):265-273

Dai Minhan, Yin Zhiqiang, Meng Feifei, et al. 2012. Spatial distribution of riverine DOC input to the ocean:an updated global system. Current Opinion in Environmental Sustainability, 4(2):170-178

Dong Lixian, Su Jilan, Wong L A, et al. 2004. Seasonal variation and dynamics of the pearl river plume. Continental Shelf Research, 24(16):1761-1777

Dong Qiang, Shang Shaoling, Lee Zhongping. 2013. An algorithm to retrieve absorption coefficient of chromophoric dissolved organic matter from ocean color. Remote Sensing of Environment, 128:259-267

D'Sa E J, Miller R L. 2003. Bio-optical properties in waters influenced by the Mississippi River during low flow conditions. Remote Sensing of Environment, 84(4):538-549

Fang Ligang, Chen Shuisen, Li Dong, et al. 2009. Use of reflectance ratios as a proxy for coastal water constituent monitoring in the pearl river estuary. Sensors, 9(1):656-673

Gao Q, Tao Z, Shen C, et al. 2002. Riverine organic carbon in the Xijiang River (South China):seasonal variation in content and flux budget. Environmental Geology, 41(7):826-832

Guo Weidong, Yang Liyang, Zhai Weidong, et al. 2013. Runoff-mediated seasonal oscillation in the dynamics of dissolved organic matter in different branches of a large bifurcated estuary-The Changjiang Estuary. Journal of Geophysical Research:Biogeosciences, 119(5):776-793

He Biyan, Dai Minhan, Zhai Weridong, et al. 2010. Distribution, degradation and dynamics of dissolved organic carbon and its major compound classes in the Pearl River Estuary, China. Marine Chemistry, 119(1–4):52-64

He Xianqiang, Bai Yan, Pan Delu, et al. 2013. Using geostationary satellite ocean color data to map the diurnal dynamics of suspended particulate matter in coastal waters. Remote Sensing of Environment, 113:225-239

Hernes P J, Benner R. 2003. Photochemical and microbial degradation of dissolved lignin phenols:Implications for the fate of terrigenous dissolved organic matter in marine environments. Journal of Geophysical Research:Oceans, 108(C9):3291

Hong Huasheng, Wu Jingyu, Shang Shaoling, et al. 2005. Absorption and fluorescence of chromophoric dissolved organic matter in the Pearl River Estuary, South China. Marine Chemistry, 97(1–2):78-89

Huang Wei, Chen R F. 2009. Sources and transformations of chromophoric dissolved organic matter in the Neponset River Watershed. Journal of Geophysical Research:Biogeosciences, 114(G4):G00F05

Jaffé R, Boyer J N, Maie N, et al. 2004. Source characterization of dissolved organic matter in a subtropical mangrove-dominated estuary by fluorescence analysis. Marine Chemistry, 84(3–4):195-210

Knap A H, Michaels A F, Close A R, et al. 1996. Protocols for the joint global ocean flux study (JGOFS) core measurements. Jgofs.

Lee Zhongping, Carder K L, Arnone R A. 2002. Deriving inherent optical properties from water color:a multiband quasi-analytical algorithm for optically deep waters. Applied Optics, 41(27):5755-5772

Liu Dong, Pan Delu, Bai, Yan, et al. 2015. Remote Sensing Observation of Particulate Organic Carbon in the Pearl River Estuary. Remote Sensing, 7(7):8683-8704

Liu Qiong, Pan Delu, Bai Yan, et al. 2014. Estimating dissolved organic carbon inventories in the East China Sea using remote-sensing data. Journal of Geophysical Research:Oceans, 119(10):6557-6574

Mannino A, Russ M E, Hooker S B. 2008. Algorithm development and validation for satellite-derived distributions of DOC and CDOM in the US Middle Atlantic Bight. Journal of Geophysical Research:Oceans, 113(C7):C07051

Mitchell B G, Kahru M, Wieland J, et al. 2000. Determination of spectral absorption coefficients of particles, dissolved material and phytoplankton for discrete water samples, In:Fargion G S Mueller J, eds. Ocean Optics Protocols for Satellite Ocean Color Sensor validation., Goddard Space Flight Space Center, Greenbelt, Md

Mueller J L, Fargion G S, Mcclain C R. 2003. Biogeochemical and bio-optical measurements and data analysis methods, NASA Tech. Mem., NASA TM-2003-211621, Rev. 4, vol. 2, Goddard Space Flight Space Center, Maryland

Ni Honggang, Lu Feng-Hui, Luo Xian-Lin, et al. 2008. Riverine inputs of total organic carbon and suspended particulate matter from the Pearl River Delta to the coastal ocean off South China. Marine Pollution Bulletin, 56(6):1150-1157

Pan Delu, Liu Qiong, Bai Yan. 2012. Progress in remote sensing of DOC:based on the analysis of conservative behaviors of DOC and CDOM in global large rivers estuaries. Haiyang Xuebao (in Chinese), 34(4):1-11

Park Y, Ahn Y, Han H, et al. 2014. GOCI level 2 Ocean Color Products (GDPS 1.3) Brief Algorithm Description. 17 November

Ran Lishan, Lu X X, Sun Huiguo, et al. 2013. Spatial and seasonal variability of organic carbon transport in the Yellow River, China. Journal of Hydrology, 498:76-88

IOCCG. 2000. Remote sensing of ocean colour in coastal, and other optically-complex, waters. Sathyendranath, S. (ed.), reports of the international ocean-colour coordinating group, No. 3, IOCCG, Dartmouth, Canada.

Siegel D A, Maritorena S, Nelson N B, et al. 2002. Global distribution and dynamics of colored dissolved and detrital organic materials. Journal of Geophysical Research:Oceans, 107(C12):21-1-21-14

Siswanto E, Tang J, Yamaguchi H, et al. 2011. Empirical ocean-color algorithms to retrieve chlorophyll-α, total suspended matter, and colored dissolved organic matter absorption coefficient in the Yellow and East China Seas. Journal of Oceanography, 67(5):627-650

Sun Jian, Lin Binliang, Li Kaiming, et al. 2014. A modelling study of residence time and exposure time in the Pearl River Estuary, China. Journal of Hydro-environment Research, 8(3):281-291

Świrgoń M, Stramska M. 2015. Comparison of in situ and satellite ocean color determinations of particulate organic carbon concentration in the global ocean. Oceanologia, 57(1):25-31

Tiwari S P, Shanmugam P. 2011. An optical for the remote sensing of coloured dissolved organic matter in coastal/ocean waters. Estuarine, Coastal and Shelf Science, 93(4):396-402

Wang Menghua, Shi Wei. 2007. The NIR-SWIR combined atmospheric correction approach for MODIS ocean color data processing. Optics ExZJEss, 15(24):15722-15733

Wang Xuchen, Ma Haiqing, Li Ronghua, et al. 2012. Seasonal fluxes and source variation of organic carbon transported by two major Chinese rivers-The Yellow River and Changjiang (Yangtze) River. Global Biogeochemical Cycles, 26(2):GB2025

Wang Xiaozhen, Zhang Huaguo, Fu Bin, et al. 2013. Analysis on the coastline change and erosion-accretion evolution of the Pearl River Estuary, China, based on remote-sensing images and nautical charts. Journal of Applied Remote Sensing, 7:073519

Wong G T F, Ku T, Mulholland M, et al. 2007. The South East Asian time-series study (SEATS) and the biogeochemistry of the South China Sea-An overview. Deep-Sea Research Ⅱ:Topical Studies in Oceanography, 54(14–15):1434-1447

Wu Y, Zhang J, Liu S M, et al. 2007. Sources and distribution of carbon within the Yangtze River system. Estuarine, Coastal and Shelf Science, 71(1–2):13-25

Xing Xiaogang, Zhao Dongzhi, Liu Yuguang, et al. 2008. Absorption characteristics of de-pigmented particle and yellow substance in Bohai Sea. Marine Environmental Science (in Chinese), 27(6):595-598

Yu Mengde, Bai Jinquan. 1962. Effect of vegetation on the composition of humus and active mineral substences in soils of Kwangtung and Kwangsi. Acta Pedologica Sinica (in Chinese), 10(1):29-43

Zhu Weining, Yu Qian, Tian Y Q, et al. 2011. Estimation of chromophoric dissolved organic matter in the Mississippi and Atchafalaya river plume regions using above-surface hyperspectral remote sensing. Journal of Geophysical Research:Atmospheres, 116(C2):C02011

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珠江口溶解有机物的遥感动态监测

doi: 10.1007/s13131-017-1248-7

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出版历程

The dynamic observation of dissolved organic matter in the Zhujiang (Pearl River) Estuary in China from space

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