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Spectroscopy and Spectral Analysis, Volume. 41, Issue 7, 2142(2021)

Aqueous Fluorescence Fingerprint Characteristics and Discharge Source Identification of a River in Southern China

Chuan-yang LIU1、*, Yi-di CHAI1、1; 2;, Xian-gen XU3、3;, Jun ZHOU3、3;, Sen-sen LU3、3;, Jian SHEN1、1; 2;, Miao HE1、1;, and Jing WU1、1; 2; *;
Author Affiliations
  • 11. Research Center of Environmental Technology in Pollution Source Identification and Precise Supervision, School of Environment, Tsinghua University, Beijing 100084, China
  • 33. Changzhou Research Academy of Environmental Sciences, Changzhou 213022, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (6)
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    References (5)
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    Figures & Tables(6)
    Schematic diagram of the studied river system and sampling points with aqueous fluorescence fingerprints

    Fig. 1. Schematic diagram of the studied river system and sampling points with aqueous fluorescence fingerprints

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    Aqueous fluorescence fingerprint of River A(a): Typical aqueous fluorescence fingerprint; (b): Variation of fluorescent peak intensity along River A

    Fig. 2. Aqueous fluorescence fingerprint of River A
    (a): Typical aqueous fluorescence fingerprint; (b): Variation of fluorescent peak intensity along River A

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    Aqueous fluorescence fingerprint of River J (in city C)(a): Typical aqueous fluorescence fingerprint; (b): Variation of fluorescent peak intensity along River J

    Fig. 3. Aqueous fluorescence fingerprint of River J (in city C)
    (a): Typical aqueous fluorescence fingerprint; (b): Variation of fluorescent peak intensity along River J

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    Typical aqueous fluorescence fingerprint of textile wastewater treatment plant M(a): Raw textile wastewater (M-raw); (b): Effluent water after treatment (M-eff)

    Fig. 4. Typical aqueous fluorescence fingerprint of textile wastewater treatment plant M
    (a): Raw textile wastewater (M-raw); (b): Effluent water after treatment (M-eff)

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    • Table 1. Similarities between aqueous fluorescence fingerprints

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      Table 1. Similarities between aqueous fluorescence fingerprints

      A1A2A3J1J2J3M-rawM-eff
      水质荧光
      指纹比对
      算法      		A1100%>99%>99%<60%<60%<60%95%87%
      A2100%>99%<60%<60%<60%95%86%
      A3100%<60%<60%<60%94%87%
      J1100%<60%<60%--
      J2100%98%--
      J3100%--
      M-raw100%87%
      M-eff100%
      区域百分比
      相似度
      算法      		A1100%98.7%98.2%69.9%75.7%77.1%87.1%83.3%
      A2100%98.5%69.6%75.0%76.7%87.0%83.1%
      A3100%70.7%75.8%77.8%86.3%82.6%
      J1100%92.2%91.9%--
      J2100%96.3%--
      J3100%--
      M-raw100%86.3%
      M-eff100%

    • Table 2. Conventional monitoring indexes of River A and J

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      Table 2. Conventional monitoring indexes of River A and J

      No.CODMn/
      (mg·L-1)      		NH3-N/
      (mg·L-1)      		TP/
      (mg·L-1)
      A13.50.5420.202
      A24.20.4300.266
      A34.40.5820.246
      J12.30.1190.147
      J22.70.0910.125
      J32.31.1800.261
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    Chuan-yang LIU, Yi-di CHAI, Xian-gen XU, Jun ZHOU, Sen-sen LU, Jian SHEN, Miao HE, Jing WU. Aqueous Fluorescence Fingerprint Characteristics and Discharge Source Identification of a River in Southern China[J]. Spectroscopy and Spectral Analysis, 2021, 41(7): 2142

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    Paper Information

    Category: Research Articles

    Received: Jun. 6, 2020

    Accepted: --

    Published Online: Sep. 8, 2021

    The Author Email: LIU Chuan-yang (lcy18@mails.tsinghua.edu.cn)

    DOI:10.3964/j.issn.1000-0593(2021)07-2142-06

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology