|
|
|
|
|
|
| Analysis of Fluorescence Fingerprint Characteristics of Water Quality in the Estuary of the Yangtze River |
| ZHANG Yi1, 3, LIU Chuan-yang2, 3, CHENG Cheng2, 3, SHEN Jian2, 3, CHAI Yi-di2, 3, LI Fang2, 3, CHEN Chong-jun1, MEI Juan1*, WU Jing2, 3* |
1. School of Environmental Science and Engineering，Suzhou University of Science and Technology，Suzhou 215009，China
2. Research Center of Environmental Technology in Pollution Source Identification and Precise Supervision, School of Environment, Tsinghua University, Beijing 100084, China
3. Research and Development Center of Advanced Environmental Supervision Technology and Instrument, Research Institute for Environmental Innovation (Suzhou), Tsinghua, Suzhou 215163, China
|
|
|
|
|
Abstract The technique of aqueous fluorescence fingerprint is an emerging technology in water pollution detection in recent years, which can reveal the composition information of the water organic matter and make up for the shortcomings of conventional water quality parameters. The coastwise area of Yangtze River Estuary is an industry-intensive belt in China with high regional urbanization and developed industry. In this basin, water quality change would directly affect economic development and human health. Therefore, it is of great significance to study the water quality change in the Yangtze River Estuary. Different variation trends appeared among pH, conductivity, NH3-N, CODMn, TP, TN and TOC in the study area. However, the four indicators of conductivity, TN, CODMn and TOC, still reflected that there was a certain pollution accumulation from upstream to downstream along the estuary section of the Yangtze River, especially at the downstream sampling points CJ-11 and CJ-12, which may be greatly affected by pollution sources. The results of conventional indicators and TOC could not directly reflect the pollution information, but could only reflect the increase of total pollution from upstream to downstream. Aqueous fluorescence fingerprint in the estuary of the Yangtze River mainly contained three fluorescence peaks, which were recorded as peak A, peak B and peak C. The [excitation wavelength and emission wavelength] were [275, 335] nm, [230, 345] nm and [250, 450] nm respectively. The synchronous variation trend of fluorescence intensity was between peak A and peak B with a high correlation, and the correlation coefficient reached 0.994 8, indicating that the two peaks were likely to come from the same pollution source. Through the similarity comparison algorithm of aqueous fluorescence fingerprints, the similarity of aqueous fluorescence fingerprints between the sampling points of the Yangtze River estuary (CJ-11 and CJ-12) and tributary of the estuary (HPJ-1) were 86% and 88%, respectively. Meanwhile, the similarity to CJ-10 was all less than 60%. It indicated that the change of aqueous fluorescence fingerprints (CJ-11 and CJ-12) in the lower reaches of the Yangtze River Estuary might be caused by the tributary HPJ, which flows into the Yangtze River Estuary. The similarity between the aqueous fluorescence fingerprint of tributary HPJ and the fluorescence fingerprint database of the printing and dyeing industry was approximately 90%, illustrating that the aqueous fluorescence fingerprint of tributary HPJ might be related to the discharge of local printing and dyeing wastewater. Based on the terrific linear positive correlation between the peak intensity, including peak A and peak B, and the concentration of NH3-N in the estuary of the Yangtze River (the correlation coefficient is 0. 8855), the aqueous fluorescence fingerprint technique could have the potential to indicate the concentration of NH3-N in the estuary of the Yangtze River. Aqueous fluorescence fingerprint technology could reveal the composition and source of organic matter in water and have important application value in pollution identification and water quality evaluation.
|
|
Received: 2021-11-11
Accepted: 2022-03-24
|
|
|
|
Corresponding Authors:
MEI Juan, WU Jing
E-mail: susie_mei@163.com; wu_jing@tsinghua.edu.cn
|
|
[1] CHEN Shan-rong, HE Li-huan, LIN Lan-yu, et al(陈善荣, 何立环, 林兰钰, 等). Research of Environmental Sciences(环境科学研究), 2020, 33(5): 1119.
[2] LI Qian, ZHANG Jian-hui(李 茜, 张建辉). Environment and Ecology in the Three Gorges(三峡环境与生态), 2011, 33(6): 5.
[3] ZHU Ai-ju, SUN Dong-yao, TAN Ji, et al(朱爱菊, 孙东耀, 谭 季, 等). Environmental Science(环境科学), 2019, 40(1): 164.
[4] LIU Chuan-yang, CHAI Yi-di, XU Xian-gen, et al(刘传旸, 柴一荻, 徐宪根, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2021, 41(7): 2142.
[5] Liu B, Wu J, Cheng C, et al. Chemosphere, 2019, 216: 617.
[6] FENG Wei-ying, ZHU Yuan-rong, WU Feng-chang, et al(冯伟莹, 朱元荣, 吴丰昌, 等) Acta Scientiae Circumstantiae(环境科学学报), 2016, 36(2): 475.
[7] Shen J, Liu C Y, Lv Q, et al. Water Research, 2021, 193: 116873.
[8] KONG Yun, ZHU Liang, LÜ Mei-le, et al(孔 赟, 朱 亮, 吕梅乐, 等). Ecology and Environmental Sciences(生态环境学报), 2012, 21(9): 1647.
[9] Lawaetz A J, Stedmon C A. Applied Spectroscopy, 2009, 63(8): 936.
[10] Carstea E M, Bridgeman J, Baker A, et al. Water Research, 2016, 95: 205.
[11] Cheng C, Wu J, You L D, et al. Chemical Engineering Journal, 2018, 335: 13.
[12] WU Jing, LIU Yong-jin, LUO Xi(吴 静, 刘永进, 罗 曦). Chinese Patent(中国专利): CN101957992A, 2011.
|
| [1] |
XIA Ming-ming1, 2, LIU Jia3, WU Meng1, 2, FAN Jian-bo1, 2, LIU Xiao-li1, 2, CHEN Ling1, 2, MA Xin-ling1, 2, LI Zhong-pei1, 2, LIU Ming1, 2*. Three Dimensional Fluorescence Characteristics of Soluble Organic Matter From Different Straw Decomposition Products Treated With Calcium Containing Additives[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 118-124. |
| [2] |
SONG Yi-ming1, 2, SHEN Jian1, 2, LIU Chuan-yang1, 2, XIONG Qiu-ran1, 2, CHENG Cheng1, 2, CHAI Yi-di2, WANG Shi-feng2，WU Jing1, 2*. Fluorescence Quantum Yield and Fluorescence Lifetime of Indole, 3-Methylindole and L-Tryptophan[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3758-3762. |
| [3] |
JIANG Xin-tong1, 2, 3, XIAO Qi-tao3, LI Yi-min1, 2, LIAO Yuan-shan1, 2, LIU Dong3*, DUAN Hong-tao1, 2, 3*. Temporal and Spatial Effects of River Input on Dissolved Organic Matter Composition in Lake Bosten[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1636-1644. |
| [4] |
ZHANG Zhi-dong1, 2, XIE Pin-hua1, 2, 3*, LI Ang2, QIN Min2, FANG Wu2, DUAN Jun2, HU Zhao-kun2, TIAN Xin4LÜ Yin-sheng1, 2, REN Hong-mei2, REN Bo1, 2, HU Feng1, 2. Study of SO2 and NOx Distribution and Emission in Tangshan Based on Mobile DOAS Techniques[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1651-1660. |
| [5] |
LIU Xia-yan1, CAO Hao-xuan1, MIAO Chuang-he1, LI Li-jun2, ZHOU Hu1, LÜ Yi-zhong1*. Three-Dimensional Fluorescence Spectra of Dissolved Organic Matter in Fluvo-Aquic Soil Profile Under Long-Term Composting Treatment[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 674-684. |
| [6] |
JU Wei1, LU Chang-hua2, 3, ZHANG Yu-jun3, CHEN Xiao-jing1, JIANG Wei-wei2*. Research on Quantitative Regression Method of IR Spectra of Organic Compounds Based on Ensemble Learning With Wavelength Selection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 239-247. |
| [7] |
PAN Hong-wei, TONG Wen-bin, LEI Hong-jun*, YANG Guang, SHI Li-li. Spectral Analysis of the Effect of Organic Fertilizer Application on the
Evolution of Organic Matter and Nitrogen in Farmaland[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3116-3123. |
| [8] |
ZHU Zhao-zhou1*, YANG Xin-xin1, LI Jun1, HE Hui-jun2, ZHANG Zi-jing1, YAN Wen-rui1. Determination of Rare Earth Elements in High-Salt Water by ICP-MS
After Pre-Concentration Using a Chelating Resin[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1862-1866. |
| [9] |
WEI Si-ye1, 2, FAN Xing-cheng3, MAO Han1, 2, CAO Tao4, 5, CHENG Ao3, FAN Xing-jun3*, XIE Yue3. Abundance and Spectral Characteristics of Molecular Weight Separated Dissolved Organic Matter Released From Biochar at Different Pyrolysis Temperatures[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1809-1815. |
| [10] |
CHENG Cheng1,2,3, QIAN Yu-ting4, HUANG Zhen-rong4, JIANG Jing4, SHAO Li4, WANG Zhong-xi4, LÜ Wei-ming4, WU Jing1,2,3*. Fluorescence Excitation Emission Matrix Properties of the Effluents From the Wastewater Treatment Plants in Jiangyin City, Jiangsu Province[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(12): 3791-3796. |
| [11] |
LI Yu-yang1, 2, GUO Yan-ni2, ZHU Jun-yu2, ZHOU Lei2, 3, ZHOU Yong-qiang2, 3, HU Chun-hua1*. Characterizing Chromophoric Dissolved Organic Matter (CDOM) in Lake Chaohu in Different Hydrologic Seasons[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(10): 3286-3293. |
| [12] |
CHEN Geng-yin1, ZHANG Qi-hang1, LIU Yu-zhu1, 2*, ZHANGCHENG Yuan-zhe1, CHEN Yu1, CHEN Guo-qing1, HAN Bo-yuan1, ABULIMITI Bumaliya3*. Online Detection of VOCs Based on LIBS and Raman Spectra[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(09): 2729-2733. |
| [13] |
LIU Chuan-yang1, 2, CHAI Yi-di1, 2, XU Xian-gen3, ZHOU Jun3, LU Sen-sen3, SHEN Jian1, 2, HE Miao1, WU Jing1, 2*. Aqueous Fluorescence Fingerprint Characteristics and Discharge Source Identification of a River in Southern China[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(07): 2142-2147. |
| [14] |
JULDEZ Nurlan1，2，3, SHEN Jian1，2，3, LENG Xiao-ting3, CHAI Yi-di1，2，3, WANG Shi-feng3, HU Yuan3, CUI Hao-yue3, WU Jing1，2，3*. Study on Measurement of Mercury Ion in Water by Thiamine-Fluorescence Excitation-Emission Matrix[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(06): 1846-1851. |
| [15] |
YU Xu-fang1, ZHOU Jun1, 2, REN Lan-tian3, WANG Yan1, FAN Xing-jun1*, LI Xiao-liang1, LI Fei-yue1, WANG Xiang1. Compositional and Structural Evolutions of Dissolved Organic Compounds During Composting of Wheat Straw[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(04): 1199-1204. |
|
|
|
|
