中文关键词
溶解性有机碳(DOC)类腐质型组分紫外-可见吸收光谱天然水体平行因子分析(PARAFAC) 英文关键词dissolved organic carbon(DOC)humus-like componentsUV-Vis spectralnatural watersPARAFAC |
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中文摘要 |
研究有色溶解有机物(CDOM)组成、光谱特征与影响因素,对了解水体溶解性有机物(DOM)来源、水生态及碳循环过程具有重要意义.2019年夏季在太白山自然保护区山顶湖泊以及霸王河、黑河、石头河与湑水河等5个水体中共采集了71个水样,采用紫外-可见吸收光谱与三维荧光光谱,结合平行因子分析模型与冗余分析进行CDOM光学特性、组成及来源解析.结果表明,保护区湖泊中溶解性有机物含量较少,DOC与CDOM浓度均显著低于4条河流(P<0.05);水体中CDOM包含2类4种荧光组分,其中类腐殖质组分C1与C2是水体中CDOM主要组成部分,4条河流中类腐殖质组分相对贡献率高达82%~96%,远大于湖泊;所有水体荧光指数FI均大于1.8,自生源指数BIX与新鲜度指数β:α,均为0.6左右;河流水体腐殖化指数HIX显著大于湖泊(P<0.01);河流DOM主要由保护区林地土壤输入,较少受人类活动影响,而湖泊水体水质受人类活动影响相对较多.冗余分析表明EC对高山湖泊水体CDOM光谱特征参数影响较大(P<0.05),EC、DTN和DOC对4条河流水体CDOM光谱特征参数影响较大(P<0.01). |
英文摘要 |
It is very important to understand water ecology and the carbon cycle process by studying the composition, source, spectral characteristics, and influence factors of chromophoric dissolved organic matter (CDOM). The optical characteristics, composition, and source of CDOM in 71 water samples were collected from the lakes and four rivers of the Taibaishan Nature Reserve in the summer of 2019. The rivers included the Bawang, Heihe, Shitou, and Xushui Rivers. They were analyzed by UV-Vis spectral and three-dimensional fluorescence spectroscopy, combined with a parallel factor analysis model and redundant analysis. The results showed that CDOM in the water of the Taibaishan Nature Reserve contained two types of four fluorescent components, in which the humus-like components C1 and C2 were the main components of CDOM. The relative contribution of C1 and C2 to the rivers was 82%-96%, which was significantly larger than the lakes. All fluorescence indexes (FI) were larger than 1.8, the index of recent autochthonous contribution (BIX), and the index of freshness (β:α) were all approximately 0.6. The humification indexes (HIX) of the rivers were significantly larger than those of the lakes (P<0.01). The DOM in the rivers was mainly from the forest soil of the Nature Reserve, and the water quality of the lakes was affected by tourists to some extent. The results of the redundant analysis show that the CDOM spectral characteristic parameters were significantly influenced by EC for the lakes (P<0.05) and by EC, DTN, and DOC for the rivers (P<0.01). |
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