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岗南水库沉积物间隙水有色溶解有机物的时空分布特征及差异分析
摘要点击 2846  全文点击 735  投稿时间:2019-11-29  修订日期:2019-12-29
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中文关键词  有色溶解有机质(CDOM)  岗南水库  间隙水  紫外-可见光谱  三维荧光光谱(EEMs)
英文关键词  chromophoric dissolved organic matter (CDOM)  Gangnan Reservoir  interstitial water  UV-vis spectrum  excitation emission matrix spectroscopy (EEMs)
作者单位E-mail
周石磊 河北科技大学环境科学与工程学院, 河北省污染防治生物技术实验室, 石家庄 050018 ZSLZhouShilei@126.com 
孙悦 河北科技大学环境科学与工程学院, 河北省污染防治生物技术实验室, 石家庄 050018  
苑世超 河北科技大学环境科学与工程学院, 河北省污染防治生物技术实验室, 石家庄 050018  
彭瑞哲 河北科技大学环境科学与工程学院, 河北省污染防治生物技术实验室, 石家庄 050018  
刘世崇 河北科技大学环境科学与工程学院, 河北省污染防治生物技术实验室, 石家庄 050018  
岳哿丞 河北科技大学环境科学与工程学院, 河北省污染防治生物技术实验室, 石家庄 050018  
张航 河北科技大学环境科学与工程学院, 河北省污染防治生物技术实验室, 石家庄 050018  
王周强 河北科技大学环境科学与工程学院, 河北省污染防治生物技术实验室, 石家庄 050018  
李再兴 河北科技大学环境科学与工程学院, 河北省污染防治生物技术实验室, 石家庄 050018  
罗晓 河北科技大学环境科学与工程学院, 河北省污染防治生物技术实验室, 石家庄 050018  
中文摘要
      有色可溶性有机物(CDOM)作为溶解性有机物的重要组分,影响着水体中污染物质的形态特征和迁移转化过程.本研究运用紫外-可见光谱技术(UV-vis)以及三维荧光光谱(EEMs)技术结合平行因子分析法(PARAFAC),对岗南水库自入库河口到坝前主库区四季演变过程中沉积物间隙水CDOM的分布、光谱特征以及来源进行解析.结果表明,岗南水库沉积物间隙水CDOM的相对浓度a254a260a280a355存在显著的季节差异,并且相对浓度大小为夏季 > 春季 > 秋季 > 冬季;沉积物间隙水CDOM的E2/E3、E3/E4、E4/E6以及SR存在显著的季节差异,呈现冬季高夏季低的特征;秋冬季的E2/E3以及E3/E4明显高于春夏季,并且秋冬季的E3/E4大部分均大于3.5,表明秋冬季沉积物间隙水CDOM具有更小的分子量和更低的腐殖化程度;三维荧光光谱通过PARAFAC解析出3种组分,分别为类酪氨酸(C1)、短波类富里酸(C2)和降解的腐殖类物质(C3),并且3种荧光组分间具有显著的正相关性(P<0.001);岗南水库沉积物间隙水的CDOM总荧光强度和各荧光组分荧光强度呈现显著的季节差异,总荧光强度以及各组分的荧光强度呈现春季的最高、秋冬季次之、夏季最低的分布特征;秋冬季各个荧光组分占比不存在显著差异,春夏季各个荧光组分占比不存在显著差异,秋冬季与春夏季各个荧光组分占比存在显著差异;秋冬季沉积物间隙水CDOM生物源指数(BIX)和荧光指数(FI)均高于春夏季,表明秋冬季CDOM的自生源强于春夏季,与腐殖程度指标(HIX)的结果相吻合;PCA结合Adonis分析显示沉积物间隙水CDOM的光谱特征呈现显著的季节差异(P<0.001);并且组分C1、C2、C3以及水质参数[氨氮、硝氮、亚硝氮、溶解性总氮以及溶解性总磷]均有很好的线性回归方程.综上,通过对岗南水库沉积物间隙水CDOM光谱特征进行研究,可以为分析岗南水库有机物污染特征和水质管理提供技术支持.
英文摘要
      The chromophoric dissolved organic matter (CDOM), the main component of dissolved organic matter, affects the morphological characteristics, migration, and conversion of pollutants in water. Based on UV-vis spectra and excitation emission matrix spectroscopy (EEMs) combined with the parallel factor analysis (PARAFAC), the spatial distribution and spectral characteristics were investigated and source analysis of CDOM was performed. Thus, the spatiotemporal differences in the CDOM in Gangnan Reservoir were analyzed. Results showed that a254, a260, a280, and a355 exhibited significant seasonal differences in Gangnan Reservoir, and the order of CDOM concentrations was summer > spring > autumn > winter. There are significant seasonal differences in the E2/E3, E3/E4, E4/E6, and SR of interstitial water CDOM. The concentrations of E2/E3, E3/E4, E4/E6, and SR were high in winter and low in summer. E2/E3 and E3/E4 in autumn and winter were significantly higher than those in spring and summer, and the E3/E4 in autumn and winter was greater than 3.5, which indicates that the CDOM of the autumn and winter sediments has a smaller molecular weight and a lower degree of humification. Protein-like substances (C1), short-wave fulvic acid (C2), and degraded humic substances (C3) were identified by the PARAFAC model, and there was a significant positive correlation among the three fluorescent components (P<0.001). The total fluorescence intensity of CDOM and the fluorescence intensity of each fluorescent component show significant seasonal differences. The total fluorescence intensity and the fluorescence intensity of each component show the highest levels in spring, followed by autumn and winter, and the lowest levels in summer. The proportion of each fluorescent component in autumn and winter and that of each fluorescent component in spring and summer showed no significant difference. There was a significant difference in the proportion of each fluorescent component between autumn/winter and spring/summer. The BIX and FI of CDOM for autumn and winter were higher than those for spring and summer, indicating that the autogenous source of CDOM in autumn and winter is stronger than that in spring and summer, which was consistent with the result of HIX. PCA and Adonis analysis showed that the spectral characteristics of CDOM exhibited obvious seasonal differences (P<0.001). Moreover, the C1, C2, and C3 and water quality parameters (NH4+, NO3-, NO2-, TDN, and TDP) exhibited significant correlation based on linear regression. The results could provide technical support for the control of organic carbon pollution sources and water quality management in Gangnan Reservoir.

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