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http://dx.doi.org/10.11614/KSL.2021.54.4.346

A Study on the Dynamics of Dissolved Organic Matter Associated with Ambient Biophysicochemical Factors in the Sediment Control Dam (Lake Youngju)  

Oh, Hye-Ji (Department of Environmental Science and Engineering, Kyung Hee University)
Kim, Dokyun (Department of Marine Sciences and Convergent Technology, Hanyang University)
Choi, Jisoo (Department of Marine Sciences and Convergent Technology, Hanyang University)
Chae, Yeon-Ji (Department of Environmental Science and Engineering, Kyung Hee University)
Oh, Jong Min (Department of Environmental Science and Engineering, Kyung Hee University)
Shin, Kyung-Hoon (Department of Marine Sciences and Convergent Technology, Hanyang University)
Choi, Kwangsoon (K-water Institute)
Kim, Dong-Kyun (K-water Institute)
Chang, Kwang-Hyeon (Department of Environmental Science and Engineering, Kyung Hee University)
Publication Information
Abstract
A sediment control dam is an artificial structure built to prolong sedimentation in the main dam by reducing the inflow of suspended solids. These dams can affect changes in dissolved organic matter (DOM) in the water body by changing the river flow regime. The main DOM component for Yeongju Dam sediment control of the Naeseongcheon River was analyzed through 3D excitation-emission matrix (EEM) and parallel factor (PARAFAC) analyses. As a result, four humic-like components (C1~C3, C5), and three proteins, tryptophan-like components (C2, C6~C7) were detected. Among DOM components, humic-like components (autochthonous: C1, allochthonous: C2~C3) were found to be dominant during the sampling period. The total amount of DOM components and the composition ratio of each component did not show a difference for each depth according to the amount of available light (100%, 12%, and 1%). Throughout the study period, the allochthonous organic matter was continuously decomposing and converting into autochthonous organic matter; the DOM indices (fluorescence index, humification index, and freshness index) indicated the dominance of autochthonous organic matter in the river. Considering the relative abundance of cyanobacteria and that the number of bacteria cells and rotifers increased as autochthonous organic matter increased, it was suggested that the algal bloom and consequent activation of the microbial food web was affected by the composition of DOM in the water body. Research on DOM characteristics is important not only for water quality management but also for understanding the cycling of matter through microbial food web activity.
Keywords
excitation-emission matrix; parallel factor analysis; dissolved organic matter component; bacteria; phytoplankton; zooplankton;
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1 Parlanti, E., K. Worz, L. Geoffroy and M. Lamotte. 2000. Dissolved organic matter fluorescence spectroscopy as a tool to estimate biological activity in a coastal zone submitted to anthropogenic inputs. Organic Geochemistry 31: 1765-1781.   DOI
2 Porter, K.G. and Y.S. Feig. 1980. The use of DAPI for identifying and counting aquatic microflora 1. Limnology and Oceanography 25(5): 943-948.   DOI
3 R Core Team. 2014. R: A language and environment for statistical computing.
4 Choi, K., B. Kim, J.H. Park, Y.H. Kim and M. Jun. 2004. Temporal and vertical variability in the relationship among organic matter indices in a deep reservoir ecosystem. Lake and Reservoir Management 20(2): 130-1403.   DOI
5 Dainard, P.G., C. Gueguen, M. Yamamoto-Kawai, W.J. Williams and J.K. Hutchings. 2019. Interannual variability in the absorption and fluorescence characteristics of dissolved organic matter in the Canada Basin polar mixed waters. Journal of Geophysical Research: Oceans 124(7): 5258-5269.   DOI
6 Williams, C.J., P.C. Frost, A.M. Morales-Williams, J.H. Larson, W.B. Richardson, A.S. Chiandet and M.A. Xenopoulos. 2016. Human activities cause distinct dissolved organic matter composition across freshwater ecosystems. Global change Biology 22(2): 613-626.   DOI
7 Wilson, H.F. and M.A. Xenopoulos. 2009. Effects of agricultural land use on the composition of fluvial dissolved organic matter. Nature Geoscience 2: 37-41.   DOI
8 Yu, H., H. Liang, F. Qu, Z.S. Han, S. Shao, H. Chang and G. Li. 2015. Impact of dataset diversity on accuracy and sensitivity of parallel factor analysis model of dissolved organic matter fluorescence excitation-emission matrix. Scientific Reports 5(1): 1-11.   DOI
9 Chen, W. and H.Q. Yu. 2021. Advances in the characterization and monitoring of natural organic matter using spectroscopic approaches. Water Research 190: 116759.   DOI
10 Baker, A. 2001. Fluorescence excitation-emission matrix characterization of some sewage-impacted rivers. Environmental Science & Technology 35(5): 948-953.   DOI
11 Choi, J.Y. and D.H. Han. 2011. Development of water quality standard for TOC as organic matter index. Seoul Studies 12(3): 173-184.
12 Huguet, A., L. Vacher, S. Relexans, S. Saubusse, J.M. Froidefond and E. Parlanti. 2009. Properties of fluorescent dissolved organic matter in the Gironde Estuary. Organic Geochemistry 40(6): 706-719.   DOI
13 Cory, R.M. and D.M. Mcknight. 2005. Fluorescence spectroscopy reveals ubiquitous presence of oxidized and reduced quinones in DOM. Environmental Science & Technology 39: 8142-8149.   DOI
14 Fellman, J.B., E. Hood and R.G. Spencer. 2010. Fluorescence spectroscopy opens new windows into dissolved organic matter dynamics in freshwater ecosystems: A review. Limnology and Oceanography 55(6): 2452-2462.   DOI
15 Gang, G.H., U. Lee, J.S. Kim and J.S. Park. 2015. Introduction for eco-friendly project of Yeongju multi-purpose Dam. Water for Future 48(9): 72-77.
16 Jaffe, R., J.N. Boyer, X. Lu, N. Maie, C. Yang, N.M. Scully and S. Mock. 2004. Source characterization of dissolved organic matter in a subtropical mangrove-dominated estuary by fluorescence analysis. Marine Chemistry 84(3-4): 195-210.   DOI
17 Kim, J.K., M. Shin, C. Jang, S. Jung and B. Kim. 2007. Comparison of TOC and DOC distribution and the oxidation efficiency of BOD and COD in several reservoirs and rivers in the Han River system. Journal of Korean Society on Water Quality 23(1): 72-80.
18 Zhao, Y., K. Song, Y. Shang, T. Shao, Z. Wen and L. Lv. 2017. Characterization of CDOM of river waters in China using fluorescence excitation-emission matrix and regional integration techniques. Journal of Geophysical Research: Biogeosciences 122(8): 1940-1953.   DOI
19 Leenheer, J.A. and J.P. Croue. 2003. Peer reviewed: characterizing aquatic dissolved organic matter. Environmental Science & Technology 37(1): 18A-26A.   DOI
20 Goncalves-Araujo, R., C.A. Stedmon, B. Heim, I. Dubinenkov, A. Kraberg, D. Moiseev and A. Bracher. 2015. From fresh to marine waters: Characterization and fate of dissolved organic matter in the Lena River Delta Region, Siberia. Frontiers in Marine Science 2: 108.
21 Lescord, G.L., E.J. Emilson, T.A. Johnston, B.A. Branfireun and J.M. Gunn. 2018. Optical properties of dissolved organic matter and their relation to mercury concentrations in water and biota across a remote freshwater drainage basin. Environmental Science & Technology 52(6): 3344-3353.   DOI
22 Morling, K., J. Raeke, N. Kamjunke, T. Reemtsma & J. Tittel. 2017. Tracing aquatic priming effect during microbial decomposition of terrestrial dissolved organic carbon in chemostat experiments. Microbial Ecology 74(3): 534-549.   DOI
23 Parr, T.B., T. Ohno, C.S. Cronan and K.S. Simon. 2014. Com-PARAFAC: a library and tools for rapid and quantitative comparison of dissolved organic matter components resolved by Parallel Factor Analysis. Limnology and Oceanography: Methods 12(3): 114-125.   DOI
24 Larson, J.H., P.C. Frost, M.A. Xenopoulos, C.J. Williams, A.M. Morales-Williams, J.M. Vallazza, J.C. Nelson and W.B. Richardson. 2014. Relationships between land cover and dissolved organic matter change along the river to lake transition. Ecosystems 17(8): 1413-1425.   DOI
25 Lee, Y.J., S.Y. Ha, H. Jin and K.H. Shin. 2019. Algal contribution to the occurrence of refractory organic matter in Lake Paldand, South Korea: inferred from dual stable isotope (13C and 15N) tracer experiment. Korean Journal of Ecology and Environment 52(3): 192-201.   DOI
26 Hambly, A.C., E. Arvin, L.F. Pedersen, P.B. Pedersen, B. Seredynska-Sobecka and C.A. Stedmon. 2015. Characterising organic matter in recirculating aquaculture systems with fluorescence EEM spectroscopy. Water Research 83: 112-120.   DOI
27 Lee, M.H., C.L. Osburn, K.H. Shin and J. Hur. 2018. New insight into the applicability of spectroscopic indices for dissolved organic matter (DOM) source discrimination in aquatic systems affected by biogeochemical processes. Water Research 147: 164-176.   DOI
28 Marce, R., L. Verdura and N. Leung. 2021. Dissolved organic matter spectroscopy reveals a hot spot of organic matter changes at the river-reservoir boundary. Aquatic Sciences 83(4): 1-14.   DOI
29 Ohno, T. 2002. Fluorescence inner-filtering correction for determining the humification index of dissolved organic matter. Environmental Science & Technology 36(4): 742-746.   DOI
30 Park, M.H. and J. Hur. 2008. Changes in spectroscopic characteristics and Pyrene binding reactivities of dissolved organic matters by biodegradation. Journal of Korean Society of Environmental Engineers 30(9): 893-899.
31 Shutova, Y., A. Baker, J. Bridgeman and R.K. Henderson. 2014. Spectroscopic characterisation of dissolved organic matter changes in drinking water treatment: From PARAFAC analysis to online monitoring wavelengths. Water Research 54: 159-169.   DOI
32 Yamashita, Y., C.G. Fichot, Y. Shen, R. Jaffe and R. Benner. 2015. Linkages among fluorescent dissolved organic matter, dissolved amino acids and ligninderived phenols in a river-influenced ocean margin. Frontiers in Marine Science 2: 92.
33 Kim, W. 2017. Ecological monitoring for the management of sand-bed stream. Ecology and Resilient Infrastructure 4(1): 001-002.   DOI
34 Lee, C.J., S.J. Chung and S.Y. Hwang. 2013. Study on the monitoring of the changes in landform and riparian vegetation of sand-bed stream before the dam construction: In the case of Naesung Stream before the dam construction. Water for Future 46(5): 120-127.
35 Han, D.H. and J.Y. Choi. 2011. Selection of the optimum organic matter index for surface water quality management. Journal of Environmental Policy 10(4): 61-80.   DOI
36 Liu, D., Y. Du, S. Yu, J. Luo and H. Duan. 2020. Human activities determine quantity and composition of dissolved organic matter in lakes along the Yangtze River. Water Research 168: 115132.   DOI
37 Brandao, L.P., P.A. Staehr and J.F. Bezerra-Neto. 2016. Seasonal changes in optical properties of two contrasting tropical freshwater systems. Journal of Limnology 75(3): 508-519.
38 Fukuzaki, K., I. Imai, K. Fukushima, K.I. Ishii, S. Sawayama and T. Yoshioka. 2014. Fluorescent characteristics of dissolved organic matter produced by bloom-forming coastal phytoplankton. Journal of Plankton Research 36: 685-694.   DOI
39 Hosen, J.D., G.H. Allen, G. Amatuli, S. Breitmeyer, M.J. Cohen, B.C. Crump, Y.H. Lu, J.P. Payet, B.A. Poulin, A. Stubbins, B. Yoon and P.A. Raymond. 2021. River network travel time is correlated with dissolved organic matter composition in rivers of the contiguous United States. Hydrological Processes 35(5): e14124.
40 Hur, J., J.K. Shin and S.W. Park. 2006. Characterizing fluorescence properties of dissolved organic matter for water quality management of rivers and lakes. Journal of Korean Society of Environmental Engineers 28(9): 940-948.
41 Murphy, K.R., A. Hambly, S. Singh, R.K. Henderson, A. Baker, R. Stuetz and S.J. Khan. 2011. Organic matter fluorescence in municipal water recycling schemes: toward a unified PARAFAC model. Environmental Science & Technology 45(7): 2909-2916.   DOI