Aqueous Fluorescence Fingerprint Characteristics and Discharge Source Identification of a River in Southern China
LIU Chuan-yang1, 2, CHAI Yi-di1, 2, XU Xian-gen3, ZHOU Jun3, LU Sen-sen3, SHEN Jian1, 2, HE Miao1, WU Jing1, 2*
1. Research Center of Environmental Technology in Pollution Source Identification and Precise Supervision, School of Environment, Tsinghua University, Beijing 100084, China
2. Research and Development Center of Advanced Environmental Supervision Technology and Instrument, Research Institute for Environmental Innovation (Suzhou), Tsinghua, Suzhou 215163, China
3. Changzhou Research Academy of Environmental Sciences, Changzhou 213022, China
Abstract：Based on the speciality of the corresponded relationship between three-dimensional fluorescence spectrum and water bodies or pollution discharge sources, which were relied on the variation of the species and concentrations of fluorescent organic matters, the technique of aqueous fluorescence fingerprint can be applied in pollution discharge identification by the three-dimensional fluorescent characteristic of the water body. In this study, a case was carried out mainlyin River A of City C, southern China, in which the technique of aqueous fluorescence fingerprint was applied to identify the characteristics of the aqueous fluorescence finger print and pollution discharge. The aqueous fluorescence fingerprint of River A showed a prominent characteristic of textile wastewater pollution with three typical fluorescent peaks on [excitation, emission] wavelength of [280, 320], [235, 345] and [255, 460] nm and the similarities among up-, mid- and down-stream of River A were all over 99%. River J diverts into River A from the source of River A. The similarity between River J and A was lower than 60%, and the fluorescent intensity of River J was not more than 40% of River A, which indicated that River J had little influence on the formation process of the aqueous fluorescent fingerprint of River A, and the fluorescence intensity of River A is mainly contributed by its upstream region. River A’s pollution might come from the textile wastewater of the printing and dyeing textile industrial park in upstream area, with the aqueous fluorescence fingerprint similarity index of 94%. The linear correlation indexes between the fluorescent peak intensity and the permanganate index of river water were 0.956 4, 0.937 5 and 0.985 4, respectively, and the aqueous fluorescence fingerprint method showed higher sensitivity in pollution perception. Compared with the results of other three-dimensional fluorescence spectral similarity algorithms, the technique of aqueous fluorescence fingerprint for water quality is a reliable water environment monitoring technology and provided a useful tool for the further achievement of pollution source control and precise environmental supervision.
[1] DU Juan, SONG Peng-cheng(杜 鹃, 宋鹏程). Environmental Science and Management(环境科学与管理), 2020, 45(2): 115.
[2] WANG Di, ZHANG Fei, ZHANG Zhao-yong, et al(王 迪, 张 飞, 张兆永, 等). Journal of Lake Sciences(湖泊科学), 2020, 32(2): 483.
[3] Cheng C, Wu J, You L D, et al. Chemical Engineering Journal, 2018, 335: 13.
[4] LI Ze, ZHANG Xiao-fei, WU Bai-chun, et al(栗 则, 张晓飞, 吴百春, 等). Chinese Journal of Analysis Laboratory(分析实验室), 2018, 37(7): 863.
[5] LÜ Qing, GU Jun-qiang, XU Shi-qin, et al(吕 清, 顾俊强, 徐诗琴, 等). Environmental Monitoring in China(中国环境监测), 2015, 31(1): 152.
[6] Suzhou GSeeker Technology Co. Ltd. (苏州国溯科技有限公司). Enterprise Standard(企业标准), 2018.
[7] WU Jing, LIU Yong-jin, LUO Xi(吴 静, 刘永进, 罗 曦). Chinese Patent(中国专利)：CN101957992A, 2011.
[8] Katharine G D, Colette M V S, Junko M M, et al. Environmental Science and Technology, 2013, 47: 649.
[9] Carstea E M, Bridgeman J, Baker A, et al. Water Reseach, 2016, 95: 205.
[10] Murphy K R, Ruiz G M, Dunsmuir W T M, et al. Environmental Science andTechnology, 2006, 40(7)：2357.
[11] Cheng C, Liu B, Liu C, et al. Chemosphere, 2020, 252: 126559.
