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白洋淀入淀河流溶解有机物沿程变化特征及来源解析

岳龙飞 李洪波 梁淑轩 李平 姜甜甜 刘晶 赵建国

岳龙飞,李洪波,梁淑轩,等.白洋淀入淀河流溶解有机物沿程变化特征及来源解析[J].环境工程技术学报,2023,13(3):1050-1060 doi: 10.12153/j.issn.1674-991X.20220425
引用本文: 岳龙飞,李洪波,梁淑轩,等.白洋淀入淀河流溶解有机物沿程变化特征及来源解析[J].环境工程技术学报,2023,13(3):1050-1060 doi: 10.12153/j.issn.1674-991X.20220425
YUE L F,LI H B,LIANG S X,et al.Variation characteristics and source analysis of dissolved organic matter along the river into Baiyangdian Lake[J].Journal of Environmental Engineering Technology,2023,13(3):1050-1060 doi: 10.12153/j.issn.1674-991X.20220425
Citation: YUE L F,LI H B,LIANG S X,et al.Variation characteristics and source analysis of dissolved organic matter along the river into Baiyangdian Lake[J].Journal of Environmental Engineering Technology,2023,13(3):1050-1060 doi: 10.12153/j.issn.1674-991X.20220425

白洋淀入淀河流溶解有机物沿程变化特征及来源解析

doi: 10.12153/j.issn.1674-991X.20220425
基金项目: 河北省省级科技计划资源与环境创新专项项目(21374203D);白洋淀水生态环境质量综合评价技术规范项目(ST202205)
详细信息
    作者简介:

    岳龙飞(1996—),男,硕士研究生,主要从事水环境研究,15951003982@163.com

    通讯作者:

    李洪波(1969—),男,正高级工程师,研究方向为水生态修复,lhbhky@163.com

    梁淑轩(1967—),女,教授,主要从事环境污染监测及溯源分析研究,liangsx168@126.com

  • 中图分类号: X522

Variation characteristics and source analysis of dissolved organic matter along the river into Baiyangdian Lake

  • 摘要:

    采用紫外-可见吸收光谱、三维荧光光谱,结合平行因子分析、主成分分析等方法,分析了白洋淀3条入淀河流(府河、孝义河、白沟引河)中发色团溶解有机物(CDOM)的光谱特征,阐释了CDOM组成、来源及对水质的影响机制。结果发现:河流CDOM平均浓度顺序为府河>孝义河>白沟引河,其中,府河CDOM的芳香性与分子量高于其他河流,白沟引河腐殖化程度高于其他河流,孝义河CDOM中内源性物质占比高于其他河流;3条河流均检出类腐殖质组分C1、C2、C3和类蛋白质组分C4,其中C1、C2、C3来源相近,且与C4异源;3条河流各组分最大荧光强度和总荧光强度的沿程变化表明,府河CDOM为点源、面源混合来源,孝义河CDOM以点源输入为主,白沟引河CDOM来自水源本身。

     

  • 图  1  研究区采样点分布

    Figure  1.  Distribution of sampling points in the study area

    图  2  3条河流不同河段的DOC浓度和光谱特征参数箱线图

    Figure  2.  Boxplots of DOC concentration and spectral characteristic parameters at different river sections of three rivers

    图  3  3条河流不同河段的荧光参数箱线图

    Figure  3.  Boxplots of fluorescence parameters at different river sections of three rivers

    图  4  PARAFAC模型分离的4种荧光组分及其激发/发射载荷

    Figure  4.  Four fluorescence components separated by PARAFAC model and their excitation/emission loads

    图  5  3条河流各采样点PARAFAC组分的沿程变化

    Figure  5.  Variation of PARAFAC components along the river at sampling points of three rivers

    图  6  光学参数和水质指标的主成分分析结果

    注:椭圆表示各组采样点 95% 的置信椭圆。右轴和上轴表示图中各参数与PC1和PC2的相关性,轴上数字为相关性系数。

    Figure  6.  Results of principal component analysis of optical parameters and water quality indexes

    表  1  紫外-可见吸收光谱参数与DOC的相关性

    Table  1.   Correlation between UV-vis absorption spectrum parameters and DOC

    项目a(350)SUVA254SUVA260E2/E3
    a(350)1
    SUVA2540.573**1
    SUVA2600.581**0.905**1
    E2/E3−0.549**−0.742**−0.692**1
      注:*表示在P<0.05水平显著相关;**表示在P<0.01水平极显著相关。
    下载: 导出CSV

    表  2  利用PARAFAC模型识别的4个组分的光谱特性

    Table  2.   Spectral characteristics of four components identified by PARAFAC model

    组分(Exmax/Emmax)/
    (nm/nm)
    传统峰描述分子特征匹配
    数量
    C1330/410M类腐殖质低分子量,微生物转化11
    C2360/445C类腐殖质芳香族,高分子量1
    C3390~400/
    400~500
    C类腐殖质高分子量,高芳香性4
    C4285~290/320T类色氨酸脂肪族,高分子量,
    亲水性好
    5
      注:ExmaxEmmax分别表示各组分的最大激发波长和发射波长的近似位置。
    下载: 导出CSV

    表  3  PARAFAC模型中CDOM吸收系数与组分荧光强度之间的关系

    Table  3.   Relationship between CDOM absorption coefficient and component fluorescence intensity in PARAFAC model

    河流参数a(350)DOCFmax(C1)Fmax(C2)Fmax(C3)Fmax(C4)
    府河 a(350) 1
    DOC 0.529** 1
    Fmax(C1) 0.310 0.697** 1
    Fmax(C2) 0.295 0.700** 0.972** 1
    Fmax(C3) 0.322* 0.733** 0.957** 0.988** 1
    Fmax(C4) 0.077 0.528* 0.779** 0.631** 0.603* 1
    孝义
    a(350) 1
    DOC 0.680** 1
    Fmax(C1) 0.550* 0.603* 1
    Fmax(C2) 0.463* 0.634** 0.985** 1
    Fmax(C3) 0.265 0.694** 0.966** 0.994** 1
    Fmax(C4) 0.434* 0.609* 0.451* 0.311 0.255 1
    白沟
    引河
    a(350) 1
    DOC 0.587** 1
    Fmax(C1) 0.146 0.798** 1
    Fmax(C2) 0.127 0.743** 0.988** 1
    Fmax(C3) 0.126 0.853** 0.944** 0.951** 1
    Fmax(C4) 0.142 0.566* 0.850** 0.807** 0.780** 1
      注:同表1
    下载: 导出CSV

    表  4  水质参数与荧光组分的回归分析

    Table  4.   Regression analysis of water quality parameters and fluorescence components

    河流回归方程决定系数(R2方差膨胀
    系数(VIF)
    府河[COD]=7.713+3.885×Fmax(C3)0.379**1.0
    [TN]=3.720+0.533×Fmax(C2)0.129*1.0
    孝义河[COD]=9.710+14.518×Fmax(C2)−
    25.333× F max(C3)
    0.950**1.25
    [NH4 +-N]=−0.049−0.045×F max(C1)+
    0.008×F max(C4)+0.215×F max(C3)
    0.949**1.0
    [TP]=0.008+0.007×F max(C4)0.861**1.0
    [TN]=−3.527+2.079× F max(C2)+
    2.864× F max(C3)− 0.084× F max(C4)
    0.995*1.07
    白沟引河[COD]=2.061+7.601×Fmax(C3)0.698**1.0
    [NH4 +-N]=0.171−0.006×Fmax(C4)0.190*1.0
    [TN]=6.376−2.086× F max(C4)0.223*1.0
    3条河流
    所有
    采样点
    [COD]=5.238+5.545×Fmax(C3)0.518**1.0
    [NH4 +-N]=0.185+0.050× F max(C1)0.063*1.0
    [TP]=0.098+0.130× F max(C2)−0.065×
    F max(C1)− 0.154× F max(C3)
    0.240*1.0
    [TN]=2.951+0.868× F max(C2)−
    0.154× F max(C4)
    0.211*1.0
      注:同表1
    下载: 导出CSV
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