SONG Kaishan, LI Lin, Lenore TEDESCO, Nicolas CLERCIN, LI Linhai, SHI Kun. Spectral Characterization of Colored Dissolved Organic Matter for Productive Inland Waters and Its Source Analysis[J]. Chinese Geographical Science, 2015, 25(3): 295-308. doi: 10.1007/s11769-014-0690-5
Citation: SONG Kaishan, LI Lin, Lenore TEDESCO, Nicolas CLERCIN, LI Linhai, SHI Kun. Spectral Characterization of Colored Dissolved Organic Matter for Productive Inland Waters and Its Source Analysis[J]. Chinese Geographical Science, 2015, 25(3): 295-308. doi: 10.1007/s11769-014-0690-5

Spectral Characterization of Colored Dissolved Organic Matter for Productive Inland Waters and Its Source Analysis

doi: 10.1007/s11769-014-0690-5
Funds:  Under the auspices of National Aeronautics and Space Administration of US (NASA) (No. NNG06GA92G), National Natural Science Foundation of China (No. 41171293)
More Information
  • Corresponding author: SONG Kaishan. E-mail:songks@iga.ac.cn
  • Received Date: 2013-02-27
  • Rev Recd Date: 2013-05-28
  • Publish Date: 2015-03-27
  • This study examined the spatiotemporal dynamics of colored dissolved organic matter (CDOM) and spectral slope (S), and further to analyze its sources in three productive water supplies (Eagle Creek, Geist and Morse reservoirs) from Indiana, USA. The results showed that he absorption coefficient aCDOM(440) ranged from 0.37 m-1 to 3.93 m-1 with an average of 1.89±0.76 m-1 (±SD) for the aggregated dataset, and S varied from 0.0048 nm-1 to 0.0239 nm-1 with an average of 0.0108±0.0040 nm-1. A significant relationship between S and aCDOM(440) can be fitted with a power equation (S=0.013×aCDOM(440)-0.42, R2=0.612), excluding data from Geist Reservoir during high flow (12 April 2010) and the Morse Reservoir on 25 June 2010 due to a T-storm achieves even higher determination coefficient (R2=0.842). Correlation analysis indicated that aCDOM(440) has strong association with inorganic suspended matter (ISM) concentration (0.231 < R2< 0.786) for each of the field surveys, and this trend followed the aggregated datasets (R2=0.447, p< 0.001). In contrast, chlorophyll-a was only correlated with aCDOM(440) in summer and autumn (0.081 < R2< 0.763), indicating that CDOM is mainly from terrigenous sources in early spring and that phytoplankton contributed during the algal blooming season. The S value was used to characterize CDOM origin. The results indicate that the CDOM source is mainly controlled by hydrological variations, while phytoplankton originated organic matter also closely linked with CDOM dynamics in three productive reservoirs.
  • [1] Agren A, Haei M, Kohler S J et al., 2010. Regulation of stream water dissolved organic carbon (DOC) concentrations during snowmelt;the role of discharge, winter climate and memory effects. Biogeosciences, 7:2901-2913. doi:10.5194/bg-7- 2901-2010
    [2] Arar E J, Collins G B, 1997. U.S. Environmental Protection Agency Method 445.0, In vitro determination of chlorophyll a and pheophytin a in marine and freshwater algae by fluores-cence, revision 1.2:Cincinnati, Ohio, U.S. Environmental Protection Agency National Exposure Research Laboratory, Office of Research and Development.
    [3] Astoreca R, Rousseau V, Lancelot C, 2009. Colored dissolved organic matter (CDOM) in Southern North Sea waters:Optical characterization and possible origin. Estuarine Coastal and Shelf Science, 85(4):633-640. doi: 10.1016/j.ecss.2009.10.010
    [4] Babin M, Stramski D, Ferrari G M et al., 2003. Variations in the light absorption coefficients of phytoplankton, nonalgal par-ticles, and dissolved organic matter in coastal waters around Europe. Journal of Geophysical Research, 108(C7):3211. doi: 10.1029/2001JC000882
    [5] Binding C E, John H J, Bukata R P et al., 2008. Spectral absorp-tion properties of dissolved and particulate matter in Lake Erie. Remote Sensing of Environment, 112(4):1702-1711. doi: 10.1016/j.rse.2007.08.017
    [6] Bricaud A, Morel A, Prieur L, 1981. Absorption by dissolved organic matter of the sea (yellow substance) in the UV and visible domain. Limnology and Oceanography, 26(1):43-53. doi: 10.4319/lo.1981.26.1.0043
    [7] Brown M, 1977. Transmission spectroscopy examinations of natural waters:C. Ultraviolet spectral characteristics of the transition from terrestrial humus to marine yellow substance. Estuarine and Coastal Marine Science, 5(3):309-317. doi: 10.1016/0302-3524(77)90058-5
    [8] Busse L B, Gunkel G, 2001. Riparian alder fens-Source or sink for nutrients and dissolved organic carbon?-1. Effects of water level fluctuations. Limnologica, 31(4):307-315. doi: 10.1016/S0075-9511(01)80033-5
    [9] Carder K L, Steward R G, Harvey R G et al., 1989. Marine humic and fulvic acids:Their effects on remote sensing of ocean chlorophyll. Limnology and Oceanography, 34(1):68-81. doi: 10.4319/lo.1989.34.1.0068
    [10] Cory N, Buffam I, Laudon H et al., 2006. Landscape control of stream water aluminum in a boreal catchment during spring flood. Environmental Science and Technology, 40(11):3494- 3500. doi: 10.1021/es0523183
    [11] De Haan H, De Boer T, 1987. Applicability of light absorbance and fluorescence as measures of concentration and molecular size of dissolved organic carbon in humic Laken Tjeukemeer. Water Research, 21(6):731-734. doi:10.1016/0043-1354(87) 90086-8
    [12] Fellman J B, Petrone K C, Grierson F, 2011. Source, biogeo-chemical cycling, and fluorescence characteristics of dissolved organic matter in an agro-urban estuary. Limnology and Oceanography, 56(1):243-256. doi: 10.4319/lo.2011.56.1.0243
    [13] Fichot C G, Benner R, 2011. A novel method to estimate DOC concentrations from CDOM absorption coefficients in coastal waters. Geophysical Research Letter, 38(3):L03610. doi: 10.1029/2010GL046152
    [14] Goldman E A, Smith E M, Richardson T L, 2013. Estimation of chromophoric dissolved organic matter (CDOM) and photo-synthetic activity of estuarine phytoplankton using a mul-tiple-fixed-wavelength spectral fluorometer. Water Research, 47(4):1616-1630. doi: 10.1016/j.watres.2012.12.023
    [15] Helms J R, Mao J, Schmidt-Rohr K et al., 2013a. Photochemical flocculation of terrestrial dissolved organic matter and iron. Geochimica Cosmochimica Acta, 121(15):398-413. doi: 10.1016/j.gca.2013.07.025
    [16] Helms J R, Stubbins A, Perdue E M et al., 2013b. Photochemical bleaching of oceanic dissolved organic matter and its effect on absorption spectral slope and fluorescence. Marine Chemistry, 155:81-91. doi: 10.1016/j.marchem.2013.05.015
    [17] Helms J R, Stubbin A, Ritchie J D et al., 2008. Absorption spectral slopes and slope ratios as indicators of molecular weight, source, and photobleaching of chromophoric dissolved organic matter. Limnology and Oceanography, 53(3):955-969. doi: 10.4319/lo.2008.53.3.0955
    [18] Hood E W, Mcknight D M, Williams M W, 2003. Sources and chemical character of dissolved organic carbon across an al-pine/subalpine ecotone, Green Lakes Valley, Colorado Front Range, United States. Water Resources Research, 39(7):1188. doi: 10.1029/2002WR001738
    [19] Hu C M, Lee Z P, Muller-Karger F E et al., 2006. Ocean color reveals phase shift between marine plants and yellow substance. IEEE Geoscience and Remote Sensing Letter, 3(2):262-266. doi: 10.1109/LGRS.2005.862527
    [20] Jaffe R, McKnight D, Maie N et al., 2008. Spatial and temporal variations in DOM composition in ecosystems:The importance of long-term monitoring of optical property. Journal of Geo-physical Research, 113(G4):G04032. doi:10.1029/2008 JG000683
    [21] Kaiser K, Zech W, 1999. Release of natural organic matter sorbed to oxides and a subsoil. Soil Science Society of American Journal, 63(5):1157-1166. doi: 10.2136/sssaj1999.6351157x
    [22] Kowalczuk P, Stedmon C A, Markager S, 2006. Modeling ab-sorption by CDOM in the Baltic Sea from salinity and chloro-phyll. Marine Chemistry, 101(1-2):1-11. doi:10.1016/j.marchem. 2005.12.005
    [23] Larson J H, Frost P C, Zheng Z Y et al., 2007. Effects of upstream lakes on dissolved organic matter in streams. Limnology and Oceanography, 52(1):60-69. doi:10.4319/lo.2007. 52.1.0060
    [24] Lee Z P, Carder K L, Arnone R A, 2002. Deriving inherent optical properties from water color:A multiband quasi-analytical al-gorithm for optically deep waters. Applied Optics, 41(27):5755-5772. doi: 10.1364/AO.41.005755
    [25] Markager W, Vincent W F, 2000. Spectral light attenuation and absorption of UV and blue light in natural waters. Limnology and Oceanography, 45(3):642-650. doi:10.4319/lo.2000.45. 3.0642
    [26] Miller M P, McKnight D M, Chapra S C et al., 2009. A model of degradation and production of three pools of dissolved organic matter in an alpine lake. Limnology and Oceanography, 54(6):2213-2227. doi: 10.4319/lo.2009.54.6.2213
    [27] Morel A, Gentili B, 2009. A simple band ratio technique to quantify the colored dissolved and detrital organic material from ocean color remotely sensed data. Remote Sensing of Environment, 113:998-1011. doi: 10.1016/j.rse.2009.01.008
    [28] Sobek S, Tranvik L J, Prairie Y T et al., 2007. Patterns and regu-lation of dissolved organic carbon:An analysis of 7500 widely distributed lakes. Limnology and Oceanography, 52(3):1208-1219. doi: 10.4319/lo.2007.52.3.1208
    [29] Song K S, Li L, Tedesco L P et al., 2012. Hyperspectral determi-nation of eutrophication for a water supply source via genetic algorithm-partial least squares (GA-PLS) modeling. Science of Total Environment, 426:220-232. doi:10.1016/j.scitotenv. 2012.03.058
    [30] Song K, Liu D, Li L et al., 2010. Spectral absorption properties of colored dissolved organic matter (CDOM) and total suspended matter (TSM) of inland waters. Proceedings of the International Society for Optical Engineering, 7811:78110B. doi: 10.1117/12.859634
    [31] Song K S, Li L, Tedesco L et al., 2013. Remote estimation of phycocyanin (PC) for inland waters coupled with YSI PC flu-orescence probe. Environmental Science and Pollution Re-search, 20(8):5330-5340. doi: 10.1007/s11356-013-1527-y
    [32] Spencer R G M, Aiken G R, Wickland K P et al., 2008. Seasonal and spatial variability in dissolved organic matter quantity and composition from the Yukon River Basin, Alaska. Global Biogeochemical Cycling, 22(4):GB4002. doi:10.1029/2008GB 003231
    [33] Spencer R G M, Butler K D, Aiken G R, 2012. Dissolved organic carbon and chromophoric dissolved organic matter properties of rivers in the U.S.A. Journal of Geophysical Research:Bio-geosciences, 117(G3):G03001. doi: 10.1029/2011JG001928
    [34] Spencer R G M, Stubbins A, Hernes P J et al., 2009. Photo-
    [35] chemical degradation of dissolved organic matter and dis-solved lignin phenols from the Congo River. Journal of Geo-physical Research, 114(G3):G03010. doi:10.1029/2009JG 000968
    [36] Stedmon C A, Markager S, 2001. The optics of chromophoric dissolved organic matter (CDOM) in the Greenland Sea:An algorithm for the differentiation between marine and terrestrially derived organic matter. Limnology and Oceanography, 46(8):2087-2093. doi: 10.4319/lo.2001.46.8.2087
    [37] Stedmon C A, Markager S, Søndergaard M et al., 2006. Dissolved organic matter (DOM) export to a temperate estuary:Seasonal variations and implications of land use. Estuarine Coast, 29(3):388-400. doi: 10.1007/BF02784988
    [38] Sun J, Liu D, 2003. Geometric models for calculating cell biovo-lume and surface area for phytoplankton. Journal of Plankton Research, 25(11):1331-1346. doi: 10.1093/plankt/fbg096
    [39] Tedesco L, Clercin N A, 2011. Algal ecology, cyanobacteria tox-icity and secondary matebolites production of the three eu-trophic drinking water supply and recreational use reservoirs in central Indiana. 2010 Research Project Final Report, Indi-anapolis, 25-29.
    [40] Tranvik L J, Downing J A, Cotner J B et al., 2009. Lakes and reservoirs as regulators of carbon cycling and climate. Lim-nology and Oceanography, 54(6):2298-2314. doi:10.4319/ lo.2009.54.6_part_2.2298
    [41] Twardowski M S, Boss E, Sullivan J M et al., 2004. Modeling the spectral shape of absorption by chromophoric dissolved organic matter. Marine Chemistry, 89(1-4):69-88. doi:10.1016/ j.marchem.2004.02.008
    [42] Vodacek A, Blough N V, Degrandpre M D et al., 1997. Seasonal variation of CDOM and DOC in the Middle Atlantic Bight:Terrestrial inputs and photooxidation. Limnology and Ocea-nography, 42(4):674-686. doi: 10.4319/lo.1997.42.4.0674
    [43] Wetzel R G, 2001. Limnology:Lake and River Ecosystems (3rd ed.). San Diego:Academic Press, 731-759.
    [44] Williamson C E, Rose K C, 2010. When UV meets fresh water. Science, 329(5992):637-639. doi: 10.1126/science.1191192
    [45] Wilson H, Xenopoulos M A, 2009. Effects of agricultural land use on the composition of fluvial dissolved organic matter. Nature Geoscience, 2(1):37-41. doi: 10.1038/ngeo391
    [46] Zepp R G, Schlotzhauer P F, 1981. Comparison of photo-chemical behavior of various humic substances in water. III. Spectros-copic properties of humic substances. Chemosphere, 10(5):479-486. doi: 10.1016/0045-6535(81)90148-X
    [47] Zhang Y L, Qin B Q, Zhu G W et al., 2007. Chromophoric dis-solved organic matter (CDOM) absorption characteristics in relation to fluorescence in Lake Taihu, China, a large shallow subtropical lake. Hydrobiologia, 581(1):43-52. doi: 10.1007/s10750-006-0520-6
    [48] Zhang Y L, van dijk M K, Liu M L et al., 2009. The contribution of phytoplankton degradation to chromophoric dissolved or-ganic matter (CDOM) in eutrophic shallow lakes:Field and experimental evidence. Water Research, 43(18):4685-4697. doi: 10.1016/j.watres.2009.07.024
    [49] Zhang Y L, Zhang E L, Yin Y et al., 2010. Characteristics and sources of chromophoric dissolved organic matter in lakes of the Yungui Plateau, China, differing in trophic state and altitude. Limnology and Oceanography, 55(6):2645-2659. doi: 10.4319/lo.2010.55.6.2645
    [50] Zhang Y L, Yin Y, Zhang E L et al., 2011a. Spectral attenuation of ultraviolet and visible radiation in lakes in the Yunnan Plateau, and the middle and lower reaches of the Yangtze River, China. Photochemical and Photobiological Sciences, 10(4):469-482. doi: 10.1039/C0PP00270D
    [51] Zhang Y, Yin Y, Zhu G et al., 2011b. Characterizing chromophoric dissolved organic matter in Lake Tianmuhu and its catchment basin using excitation emission matrix fluorescence and parallel factor analysis. Water Research, 45(16):5110- 5122. doi: 10.1016/j.watres.2011.07.014
  • 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 Metrics

Article views(352) PDF downloads(1084) Cited by()

Proportional views
Related

Spectral Characterization of Colored Dissolved Organic Matter for Productive Inland Waters and Its Source Analysis

doi: 10.1007/s11769-014-0690-5
Funds:  Under the auspices of National Aeronautics and Space Administration of US (NASA) (No. NNG06GA92G), National Natural Science Foundation of China (No. 41171293)
    Corresponding author: SONG Kaishan. E-mail:songks@iga.ac.cn

Abstract: This study examined the spatiotemporal dynamics of colored dissolved organic matter (CDOM) and spectral slope (S), and further to analyze its sources in three productive water supplies (Eagle Creek, Geist and Morse reservoirs) from Indiana, USA. The results showed that he absorption coefficient aCDOM(440) ranged from 0.37 m-1 to 3.93 m-1 with an average of 1.89±0.76 m-1 (±SD) for the aggregated dataset, and S varied from 0.0048 nm-1 to 0.0239 nm-1 with an average of 0.0108±0.0040 nm-1. A significant relationship between S and aCDOM(440) can be fitted with a power equation (S=0.013×aCDOM(440)-0.42, R2=0.612), excluding data from Geist Reservoir during high flow (12 April 2010) and the Morse Reservoir on 25 June 2010 due to a T-storm achieves even higher determination coefficient (R2=0.842). Correlation analysis indicated that aCDOM(440) has strong association with inorganic suspended matter (ISM) concentration (0.231 < R2< 0.786) for each of the field surveys, and this trend followed the aggregated datasets (R2=0.447, p< 0.001). In contrast, chlorophyll-a was only correlated with aCDOM(440) in summer and autumn (0.081 < R2< 0.763), indicating that CDOM is mainly from terrigenous sources in early spring and that phytoplankton contributed during the algal blooming season. The S value was used to characterize CDOM origin. The results indicate that the CDOM source is mainly controlled by hydrological variations, while phytoplankton originated organic matter also closely linked with CDOM dynamics in three productive reservoirs.

SONG Kaishan, LI Lin, Lenore TEDESCO, Nicolas CLERCIN, LI Linhai, SHI Kun. Spectral Characterization of Colored Dissolved Organic Matter for Productive Inland Waters and Its Source Analysis[J]. Chinese Geographical Science, 2015, 25(3): 295-308. doi: 10.1007/s11769-014-0690-5
Citation: SONG Kaishan, LI Lin, Lenore TEDESCO, Nicolas CLERCIN, LI Linhai, SHI Kun. Spectral Characterization of Colored Dissolved Organic Matter for Productive Inland Waters and Its Source Analysis[J]. Chinese Geographical Science, 2015, 25(3): 295-308. doi: 10.1007/s11769-014-0690-5
Reference (51)

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return