1. Research Center of Environmental Technology in Water 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. Suzhou G-Seeker Technology Co., Ltd., Suzhou 215011, China
Abstract：The analysis of pollution source composition of composite polluted water bodies is currently a challenge in water pollution source identification. The aqueous fluorescence fingerprint technology based on the fluorescence excitation-emission matrix is the key method to solve this problem. This study applied aqueous fluorescence fingerprint technology to perform the pollution source identification analysis of Y River in southern Jiangsu region. The fluorescence signal of textile printing and dyeing wastewater in the Y River derived from allochthonous upstream inputs, which was effectively identified by parallel factor analysis and aqueous fluorescence fingerprint comparison.Heavily contaminated regions were divided by ammonia nitrogen concentration. 109 outlets in the Y River Basin were screened by aqueous fluorescence fingerprint. 35 main responsible units were accurately located through the pollution path tracking method. After implementing the rectification requirements, the water quality of Y River was rapidly improved from below Class Ⅴ to Class Ⅲ and steadily met the standards. The Y River regulation project was cancelled, significantly reducing costs and improving efficiency. In this work, a new model of precise pollution source identification and minimally invasive control was proposed for composite polluted rivers based on aqueous fluorescence fingerprint technology, which is of great significance for realizing pollution control in a precise, science-based, and lawful way.
[1] Shen J, Song Y M, Cheng C, et al. Water Research, 2023, 229: 119408.
[2] Khan M F S, Akbar M, Wu J, et al. Methods and Applications in Fluorescence, 2022, 10(1): 012001.
[3] Shen J, Liu B, Wu J, et al. Chemosphere, 2020, 239: 124703.
[4] Shen J, Deng S B, Wu J. Journal of Chemical Education，2022, 99(2): 932.
[5] Murphy K R, Stedmon C A, Graeber D, et al. Analytical Methods，2013, 5(23): 6557.
[6] Bieroza M, Baker A, Bridgeman J. Education for Chemical Engineers, 2012, 7(1): e22.
[7] WANG Ying-jun, SHEN Jian, WANG Wen-xia, et al(王英俊，沈 鉴，王文霞，等). Environmental Monitoring and Forewarning(环境监控与预警), 2023, 15(2): 1.
[8] XU Jin-gou, WANG Zun-ben(许金钩，王尊本). Fluorescence Analysis Method(荧光分析法). Bejing: Science Press(北京：科学出版社), 2006.
[9] National Environmental Protection Standard of the People's Republic of China(中华人民共和国国家环境保护标准). HJ 535-2009. Water Quality—Determination of Ammonia Nitrogen—Nessler's Reagent Spectrophotometry(水质 氨氮的测定纳氏试剂分光光度法). Issued by Ministry of Environmental Protection of the People's Republic of China(中华人民共和国环境保护部发布), 2009.
[10] Ohno T. Environmental Science & Technology，2002, 36(4): 742.
[11] Murphy K R, Stedmon C A, Wenig P, et al. Analytical Methods，2014, 6(3): 658.
[12] Lorenzo-Seva U, ten Berge J M F. Methodology-European Journal of Research Methods for the Behavioral and Social Sciences, 2006, 2(2): 57.
[13] Shen J, Liu B, Chai Y D, et al. Environmental Research，2021, 194: 110713.
[14] A Feature Extraction and Matching Method for Two-Dimensional Single-Mapped Surface Data(一种二维单射曲面数据的特征提取与匹配方法). Chinese Patent(中国专利)：ZL 201010500552.0, 2012.
[15] A Water Pollution Discharge Source Database and Its Establishment Method(一种水污染排放源数据库及其建立方法). Chinese Patent(中国专利)：ZL 201910197655.5, 2021.
[16] Carstea E M, Bridgeman J, Baker A, et al. Water Research，2016, 95: 205.
[17] 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.
[18] Shen J, Liu C Y, Lv Q, et al. Water Research，2021, 193: 116873.
[19] Mukaka M M. Malawi Medical Journal, 2012, 24(3): 69.
[20] Cheng C, Wu J, You L D, et al. Chemical Engineering Journal，2018, 335: 13.
