Characterization of the Sources and Composition of Dissolved Organic Matter in the High Occurrence Area of Algal Blooms in Northern Lake Taihu
HAN Zi-yi1, 2, ZHOU Yong-qiang2, GENG Chun-nü1*
1. School of Ecological Technology and Engineering, Shanghai Institute of Technology, Shanghai 201418, China
2. State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
Abstract:With the rapid socioeconomic development in the Lake Taihu basin, a large amount of industrial, agricultural, and domestic wastewater has been discharged into Lake Taihu, and nutrients have been enriched, especially in the northern lake regions of Lake Taihu, where algal blooms occur frequently. In the spring, summer, and fall of 2015, we conducted six field sampling campaigns at 24 sites in northern Lake Taihu's high-incidence area of algal blooms. Absorbance coupled with three-dimensional fluorescence and parallel factor analysis (3DEEMs-PARAFAC), together with water quality parameters, were used to investigate the spatial and temporal variability of DOM and water quality in Lake Taihu under the influence of algal bloom to provide scientific support for the management and restoration of the Lake Taihu ecosystem and ensure the safety of its water supply. During the sampling period (from May 12 to October 20), the three lake regions experienced significant algal bloom and degradation. The algal blooms were closely related to the input of exogenous nutrients. During the summer, the rapid growth of algal biomass significantly consumed NO-3-N generated NH+4-N and inhibited the denitrification process of microorganisms. Parallel factor analysis identified four fluorescent DOM components: two protein-like components (tryptophan-like C1 and tyrosine-like C3) and two humic substances (microbial humic-like C2 and terrestrial humic-like C4).Terrestrial inputs from the northwest significantly affected the composition and structure of DOM in northern Lake Taihu, showing a trend of decreasing abundance and terrestrial aromaticity from west to east. In addition, the large amount of terrestrial DOM also provided an important carbon source for the growth of planktonic algae, which further influenced the composition and structure of DOM and led to the increased participation of autochthonous DOM (C2 and C3) with strong microbial activity in the lake carbon cycling process. There were differences among the three northern algal areas, and the algal bloom management in these three lakes needs to be adapted to local conditions; exogenous inputs should be reduced in the northwestern part of the lake, algal bloom monitoring and ecological restoration should be strengthened in Meiliang Bay, and ecological diversity should be preserved and restored in the northeastern part of the lake to enhance the natural purification capacity.
韩子怡,周永强,耿春女. 太湖藻华高发区DOM的组成和时空分布特征[J]. 光谱学与光谱分析, 2024, 44(12): 3568-3575.
HAN Zi-yi, ZHOU Yong-qiang, GENG Chun-nü. Characterization of the Sources and Composition of Dissolved Organic Matter in the High Occurrence Area of Algal Blooms in Northern Lake Taihu. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(12): 3568-3575.
[1] Coward E K, Ohno T, Sparks D L. Environmental Science and Technology, 2019, 53(2): 642.
[2] Kellerman A M, Kothawala D N, Dittmar T, et al. Nature Geoscience, 2015, 8(6): 454.
[3] Zhou Y, Xiao Q, Yao X, et al. Environmental Science and Technology, 2018, 52(18): 10297.
[4] Zhou Y, Jeppesen E, Zhang Y, et al. Journal of Hazardous Materials, 2015, 299: 222.
[5] Qin B, Paerl H W, Brookes J D, et al. Science Bulletin, 2019, 64(6): 354.
[6] Ma J, Qin B, Paerl H W, et al. Limnology and Oceanography, 2016, 61(2): 711.
[7] Paerl H W, Xu H, McCarthy M J, et al. Water Research, 2011, 45(5): 1973.
[8] Zhu M, Zhu G, Li W, et al. Environmental Pollution, 2013, 173: 216.
[9] Zhou Y, Shi K, Zhang Y, et al. Science of the Total Environment, 2017, 574: 1588.
[10] ZHANG Liu-qing, PENG Kai, YANG Yan, et al(张柳青, 彭 凯, 杨 艳, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2020, 40(1): 85.
[11] Murphy K R, Stedmon C A, Graeber D, et al. Analytical Methods, 2013, 5(23): 6557.
[12] Chen Y, Yang G P, Wu G W, et al. Continental Shelf Research, 2013, 52: 97.
[13] YANG Liu-yan, YANG Xin-yan, REN Li-man, et al(杨柳燕, 杨欣妍, 任丽曼, 等). Journal of Lake Science(湖泊科学), 2019, 31(1): 18.
[14] ZHAO Feng, XU Hai, ZHAN Xu, et al(赵 锋, 许 海, 詹 旭, 等). Environmental Science(环境科学), 2021, 42(5): 2296.
[15] Zhang D, Li M, Yang Y, et al. Water Research, 2022, 220: 118637.
[16] JIANG Jun-wu, LI Shuai-dong, SHEN Yin-yin, et al(江俊武, 李帅东, 沈胤胤, 等). Research of Environmental Sciences(环境科学研究), 2017, 30(7): 1020.
[17] Shutova Y, Baker A, Bridgeman J, et al. Water Research, 2014, 54: 159.
[18] Murphy K R, Hambly A, Singh S, et al. Environmental Science and Technology, 2011, 45(7): 2909.
[19] LIU Xin, WANG You-quan, XU Hua-cheng, et al(刘 新, 王友权, 徐华成, 等). Ecology and Environmental Sciences(生态环境学报), 2017, 26(8): 1403.
[20] SHI Yu, ZHOU Yong-qiang, ZHANG Yun-lin, et al(石 玉, 周永强, 张运林, 等). Environmental Science(环境科学), 2018, 39(11): 4915.
[21] Song X, Zhao M, Chen A, et al. Journal of Hydrology, 2022, 609: 127792.
[22] QIAO Yu-qi, JIANG Hai-yang, LI Xing, et al(乔煜琦, 江海洋, 李 星, 等). Journal of Lake Science(湖泊科学), 2018, 30(4): 907.
[23] ZHAO Lin, LI Zheng-kui, ZHOU Tao, et al(赵 琳, 李正魁, 周 涛, 等). Environmental Science(环境科学), 2013, 34(8): 3057.