Zhao Ying
Key Research Institute of Yellow River Civilization and Sustainable Development, Henan University, Kaifeng 475001, China; College of Geography and Environmental Science, Henan University, Kaifeng 475004, China.
Sci Total Environ. 2024 Mar 1;914:169828. doi: 10.1016/j.scitotenv.2023.169828. Epub 2024 Jan 7.
Dissolved organic matter (DOM), usually measured as concentrations of dissolved organic carbon (DOC) and nitrogen (DON) and chromophoric dissolved organic matter (CDOM), plays a crucial role in the global carbon and nitrogen cycles in inland waters. The aim of this study is to characterize spatial variations of DOC, DON, and C:N molar ratios and CDOM using absorption spectroscopy and further determine their relationships using pearson correlations (r) for urban waters along trophic gradients in the lower reaches of the Yellow River (YR) of China. A dataset of 122 urban water samples were collected from four typical cities during 2021-2022. Principal component analysis (PCA) was performed to assess the relative distribution of these urban water samples. These urban waters can be grouped into two categories: mesotrophic waters (n = 57) and eutrophic waters (n = 65) based on trophic state index (TSI) threshold value of 50. Results revealed that there were significantly higher DOC, CDOM absorption and SUVA along with lower S and M (t-test, p < 0.01) in eutrophic waters compared with mesotrophic waters. DOC was significantly higher than DON (p < 0.01). DOC was highly related to DON (R = 0.649) and COD (R = 0.840) suggesting they were derived from a common source. CDOM absorption a(254) was strongly correlated with DOC (R = 0.770) and COD (R = 0.800). DON can be calculated based on the strong correlations between DOC and DON and then C:N molar ratios can be further obtained for these urban waters. These results implied that CDOM optical absorption a(254) can be viewed as the best indicators of DOC and associated with water quality parameters. These findings can help us to better understand DOC, DON and CDOM of DOM coupled cycling processes for urban waters with similar climatic and hydrologic conditions on basin scale in China.
溶解有机物(DOM)通常以溶解有机碳(DOC)、溶解有机氮(DON)和发色溶解有机物(CDOM)的浓度来衡量,在内陆水体的全球碳和氮循环中起着至关重要的作用。本研究的目的是利用吸收光谱法表征DOC、DON和C:N摩尔比以及CDOM的空间变化,并进一步利用皮尔逊相关性(r)确定中国黄河下游沿营养梯度的城市水体之间的关系。2021年至2022年期间,从四个典型城市采集了122个城市水样数据集。进行主成分分析(PCA)以评估这些城市水样的相对分布。根据营养状态指数(TSI)阈值50,这些城市水体可分为两类:中营养水体(n = 57)和富营养水体(n = 65)。结果显示,与中营养水体相比,富营养水体中的DOC、CDOM吸收和SUVA显著更高,而S和M更低(t检验,p < 0.01)。DOC显著高于DON(p < 0.01)。DOC与DON(R = 0.649)和化学需氧量(COD)(R = 0.840)高度相关,表明它们来自共同来源。CDOM吸收a(254)与DOC(R = 0.770)和COD(R = 0.800)密切相关。基于DOC和DON之间的强相关性可以计算出DON,进而可以获得这些城市水体的C:N摩尔比。这些结果表明,CDOM光学吸收a(254)可被视为DOC的最佳指标,并与水质参数相关。这些发现有助于我们更好地理解中国流域尺度上具有相似气候和水文条件的城市水体中DOM的DOC、DON和CDOM耦合循环过程。