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首页> 外文期刊>Journal of prosthetics and orthotics: JPO >Spectral characteristics and sources of rainstorms dissolved organic matter in Zhoucun Reservoir during flood season
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Spectral characteristics and sources of rainstorms dissolved organic matter in Zhoucun Reservoir during flood season

机译：汛期周村水库中溶解有机质的光谱特征及源

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? 2019 by Journal of Lake Sciences. ? 2019 by Journal of Lake Sciences. Based on the three dimensional fluorescence spectra (EEMs) technology combined with the parallel factor analysis (PARAFAC), the spectral characteristics and sources analysis of dissolved organic matter of two rainstorms were investigated for different rainfall duration and molecular weight organic carbon in Zhoucun Reservoir. Two humic-like substances (C1, C2), one fulvic-like substance (C3) and two protein-like substance (C4, C5) were identified by PARAFAC model, and there exhibited significantly correlation coefficient in C1 & C2/C3/C4/C5, C2 & C3 and C3 & C4/C5, respectively. For the same molecular weight organic carbon, total dissolved organic matter (DOM) fluorescence intensity and the fluorescence intensity of each component showed a decreasing trend with the increase of rainfall duration and exhibited significantly differences distribution in two rainstorms. For the same rainfall duration, the total fluorescence intensity of the first rainstorm increased with the decrease of molecular weight organic carbon, while the total fluorescence intensity of the second rainstorm decreased with the decrease of molecular weight. The two rainstorms water both exhibited strong autochthonous component characteristics and first rainstorm exhibited strong terrestrial input characteristic; C1 and C3 exhibited significantly correlation coefficient with nitrate, ammonia, total nitrogen and organic carbon. From all the results, the study could supply a strong support for the managers of Zhoucun Reservoir to explore the DOM characteristic of rainstorm in the future. Based on the three dimensional fluorescence spectra (EEMs) technology combined with the parallel factor analysis (PARAFAC), the spectral characteristics and sources analysis of dissolved organic matter of two rainstorms were investigated for different rainfall duration and molecular weight organic carbon in Zhoucun Reservoir. Two humic-like substances (C1, C2), one fulvic-like substance (C3) and two protein-like substance (C4, C5) were identified by PARAFAC model, and there exhibited significantly correlation coefficient in C1 & C2/C3/C4/C5, C2 & C3 and C3 & C4/C5, respectively. For the same molecular weight organic carbon, total dissolved organic matter (DOM) fluorescence intensity and the fluorescence intensity of each component showed a decreasing trend with the increase of rainfall duration and exhibited significantly differences distribution in two rainstorms. For the same rainfall duration, the total fluorescence intensity of the first rainstorm increased with the decrease of molecular weight organic carbon, while the total fluorescence intensity of the second rainstorm decreased with the decrease of molecular weight. The two rainstorms water both exhibited strong autochthonous component characteristics and first rainstorm exhibited strong terrestrial input characteristic; C1 and C3 exhibited significantly correlation coefficient with nitrate, ammonia, total nitrogen and organic carbon. From all the results, the study could supply a strong support for the managers of Zhoucun Reservoir to explore the DOM characteristic of rainstorm in the future.
机译：还2019年湖泊科学杂志。还2019年湖泊科学杂志。基于三维荧光光谱（EEMS）技术与平行因子分析（PARAFAC）相结合，研究了两次暴雨溶解有机物的光谱特性和源分析，在周胞储层中的不同降雨持续时间和分子量有机碳研究。通过PARAFAC模型鉴定了两种腐殖质的物质（C1，C2），一种富含物质（C3）和两种蛋白质样物质（C4，C5），并且在C1＆amp中表现出显着的相关系数; C2 / C3 / C4 / C5，C2＆amp; C3和C3＆amp; C4 / C5分别。对于相同的分子量有机碳，总溶解的有机物质（DOM）荧光强度和每个组分的荧光强度随着降雨持续时间的增加而下降的趋势下降，两次暴雨中的分布显着差异。对于相同的降雨持续时间，第一次暴雨的总荧光强度随着分子量有机碳的降低而增加，而第二暴雨的总荧光强度随着分子量的降低而降低。两次暴雨水都表现出强大的自动加载成分特征，第一次暴雨表现出强大的地面投入特征; C1和C3表现出与硝酸盐，氨，总氮和有机碳的显着相关系数。从所有结果中，该研究可以为周道水库管理人员提供强大的支持，以探索未来暴雨的DOM特征。基于三维荧光光谱（EEMS）技术与平行因子分析（PARAFAC）相结合，研究了两次暴雨溶解有机物的光谱特性和源分析，在周胞储层中的不同降雨持续时间和分子量有机碳研究。通过PARAFAC模型鉴定了两个腐殖质的物质（C1，C2），一种富含物质（C3）和两种蛋白质样物质（C4，C5），并且在C1和C2 / C3 / C4中表现出显着的相关系数/ C5，C2＆C3和C3＆C4 / C5分别。对于相同的分子量有机碳，总溶解的有机物质（DOM）荧光强度和每个组分的荧光强度随着降雨持续时间的增加而下降的趋势下降，两次暴雨中的分布显着差异。对于相同的降雨持续时间，第一次暴雨的总荧光强度随着分子量有机碳的降低而增加，而第二暴雨的总荧光强度随着分子量的降低而降低。两次暴雨水都表现出强大的自动加载成分特征，第一次暴雨表现出强大的地面投入特征; C1和C3表现出与硝酸盐，氨，总氮和有机碳的显着相关系数。从所有结果中，该研究可以为周道水库管理人员提供强大的支持，以探索未来暴雨的DOM特征。

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