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河北省夏季降雨溶解性有机物光谱特征的空间分布、来源解析及氮素响应
摘要点击 2196  全文点击 786  投稿时间:2021-02-17  修订日期:2021-05-08
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中文关键词  河北省  降雨  溶解性有机物(DOM)  平行因子分析  荧光区域积分  回归分析
英文关键词  Hebei province  rainwater  dissolved organic matter(DOM)  parallel factor analysis  fluorescence regional integration  regression analysis
作者单位E-mail
张紫薇 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 hbkjzw@163.com 
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 
陈召莹 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  
张甜娜 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  
董宛佳 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  
甄瑀晗 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  
张馨童 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  
姚波 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  
崔建升 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
      溶解性有机物(DOM)是大气环境有机物的重要组成部分,为了探究大气环境中DOM的演变特征,结合紫外-可见吸收光谱和三维荧光光谱对河北省夏季降雨雨水DOM的组分和光谱特征进行解析和研究.结果表明,该时期雨水DOM的分子量存在显著差异,北部地区要显著低于中部和南部地区(P<0.05);平行因子法解析出2种类腐殖质组分(C1和C4),1种类蛋白组分(C2)和1种富里酸组分(C3),组分C2与组分C3和C4呈现显著正相关(P<0.001),可能具有相似的来源;平行因子法中类蛋白组分(C2)占主体、其均值达到40.59%,与此同时各组分的荧光强度和相对丰度空间差异不显著(P>0.05)、城乡间差异显著(P<0.05);荧光区域积分得到的各组分呈现出空间差异不显著(P>0.05),城乡差异显著的特征(P<0.05);荧光区域积分得到的DOM类蛋白物质占主体(61.59%~89.01%),与平行因子法的结果相一致.与此同时,冗余分析(RDA)显示雨水中总氮、硝氮和氨氮是影响雨水DOM组成分布的主要水质参数;三维荧光光谱指数分布呈现出显著的城乡差异,高FI和BIX值以及低HIX显示夏季雨水呈现强自生源、低腐殖化的特征,并且乡村相比于城市自生源特征更强;基于雨水DOM组分的回归分析显示,城市地区的雨水水质参数预测精确度更高.综上可知,河北地区夏季雨水DOM空间差异不显著、城乡差异显著,整体呈现出较强自生源特征,还可以在一定程度上基于雨水DOM组分为雨水氮素预测提供技术支撑.
英文摘要
      Dissolved organic matter(DOM) is an important component of the organic matter in the environment. This study explored the characteristics of DOM. The components and spectral characteristics of rainwater DOM were measured using Ultraviolet-visible absorption spectrum(UV-vis) and three-dimensional fluorescence spectrum in the Hebei province. The results showed significant differences for DOM molecular weight in the northern, central, and southern region; the DOM of the northern region exhibited the lowest molecular weight. Two humic-like(C1 and C4), one protein-like(C2) and one fulvic-like(C3) components were identified by parallel factor(PARAFAC) analysis. Component C2 had a significant positive correlation with components C3 and C4(P<0.001), which may have similar sources. The C2(protein-like substances) accounted for the major proportion of DOM with the average abundance 40.59%. The DOM components based on PARAFAC exhibited significantly difference between city and country regions without spatial difference, which was consistent with the result of fluorescence regional integration(FRI). The protein-like substances based on FRI were the main components, which accounted for 61.59%-89.01%. Redundancy analysis(RDA) showed that total nitrogen, nitrate, and ammonia were the main environmental factors determining the distribution of DOM. Spectral indices presented a significant difference between city and country regions. High fluorescence(FI) and biological(BIX) and low humification(HIX) values showed that summer rain exhibited the strong autochthonous and low humification characteristics, and country region have stronger autochthonous characteristics than city region. The regression analysis demonstrates that the prediction accuracy of rainwater quality parameters in city region is high. From all the results, rainwater DOM, showing strong autogenous characteristics, exhibited significant differences between city and country regions without spatial difference in Hebei. Meanwhile, it can also provide technical support for rainwater nitrogen concentration prediction based on DOM components.

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