| 光谱学与光谱分析 |
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| Pollution Source Identification of Water Body Based on Aqueous Fingerprint-Case Study |
| Lü Qing1, XU Shi-qin1, GU Jun-qiang1, WANG Shi-feng2, WU Jing2*, CHENG Cheng2, TANG Jiu-kai2 |
| 1. Suzhou Environmental Monitoring Center, Suzhou 215004, China2. Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China |
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Abstract Three-dimensional fluorescence spectroscopy is an emerging sensitive technology to detect organic pollution in water bodies. Based on this technique, a research group from Tsinghua University developed a novel instrument as a tool of pollution early-warning and pollution source identification，it has been put into use in A city in South China, for aqueous fingerprint monitoring and pollution sources identification under abnormal conditions. As a new monitoring method, it broke the limitation that traditional water quality monitoring technology could not provide directivity information of pollution source, and could detect abnormity of water quality quickly and identify pollution source accurately. In this paper, the process to identify pollution source during an abnormity incident of water quality in S River captured by the instrument was studied. When the instrument captured unidentified aqueous fingerprints during on-line monitoring, pollution intrusion process was inferred based on the variation of aqueous fingerprint figure and peak intensity. Then the pollution source identification was achieved by comparing the fingerprints between the polluted water body and possible pollution sources by the instrument. The source identification was verified with the changes of other water quality parameters such as pH, aniline, TOC and TN. The results showed that this early-warning and pollution source identification technique can quickly detect and release warning of abnormity of water quality and identify pollution sources accurately via monitoring aqueous fingerprints. The abnormity incident studied in this paper might be caused by dumping raw materials by a chemical plant located in upstream of the river.
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Received: 2015-06-29
Accepted: 2015-09-15
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Corresponding Authors:
WU Jing
E-mail: wu_jing@mail.tsinghua.edu.cn
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[1] Carstea E M, Baker A, Bieroza M, et al. Water Research, 2010, 44(18): 5356.
[2] YAN Yun, DU Shu-xin, WU Yuan-qing(严 赟, 杜树新, 吴元清). Chinese Journal of Environmental Engineering(环境工程学报), 2011, 5(3): 519.
[3] Liu X, Zhang Y, Shi K, et al. Environmental Science & Pollution Research, 2014, 21(24): 14078.
[4] HE Xiao-song, XI Bei-dou, ZHANG Peng, et al(何小松, 席北斗, 张 鹏, 等). China Environmental Science(中国环境科学), 2015, (3): 862.
[5] LU Song, JIANG Tao, ZHANG Jin-zhong, et al(卢 松, 江 韬, 张进忠, 等). China Environmental Science(中国环境科学), 2015, 35(2): 516.
[6] CHEN Shi-yu, LI Yan, LI Ai-min(陈诗雨, 李 燕, 李爱民). Environmental Science & Technology(环境科学与技术), 2015, (5)：64.
[7] ZHU Da-wei, WU Dao-ji, SUN Cui-zhen, et al(朱大伟, 武道吉, 孙翠珍, 等). Water Purification Technology(净水技术), 2015, (1): 14.
[8] Niu C, Zhang Y, Zhou Y, et al. Sensors, 2014, 14(7): 11580.
[9] XIAO Long-geng, CHEN Wen-song, CHEN Guo-feng, et al(肖隆庚, 陈文松, 陈国丰, 等). Acta Scientiae Circumstantiae(环境科学学报), 2014, 34(1): 160.
[11] 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.
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