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Comparing optical versus chromatographic descriptors of dissolved organic matter (DOM) for tracking the non-point sources in rural watersheds

机译:比较光学与色谱描述符的溶解有机物(DOM)以跟踪农村流域中的非点源

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摘要

Identification of the major dissolved organic matter (DOM) sources in watersheds is critical for an efficient management to control the non-point sources associated with DOM and for an understanding of the local carbon cycle. In this study, several DOM indicators, which are derived from fluorescence spectroscopy and size exclusion chromatography, were compared for their applicability to track DOM sources in three forested-agricultural watersheds. Several potential source end-members were collected from upper catchments, which included fallen leaves, riparian reeds, riparian weeds, paddy soils, field soil, riverside soil, cow manure, swine manure, and poultry manure, and the values of their representative DOM descriptors were estimated along with those of the stream samples during high flow periods. The relative source contributions to streams were estimated via an end member mixing analysis using the paired descriptors that were selected based on the criteria in terms of the value ranges and the significant differences in stream samples between the high and low flow periods. Biological index (BIX) and the ratio of the terrestrial humic-like to the humic-like component were found to be optimum optical tracers, while the aromaticity and the C/N ratio of humic substance fraction were an applicable pair of chromatographic tracers. The optical tracers were superior to the latter because of more consistent and less variability in the assigned sources between the different streams in the same watersheds. The optical tracer-based estimations revealed that the major DOM sources to the high flow stream samples were soil (22.3%-58.5%) and manures (12.9%-51.3%). This comparative study provides new insights into the practical feasibility and the overlooked limitations of the common DOM descriptors for source discrimination.
机译:水流域的主要溶解有机物质(DOM)鉴定对于有效的管理至关重要,以控制与DOM相关的非点源以及理解当地碳循环。在该研究中,比较了源自荧光光谱和尺寸排阻色谱的几种DOM指标,以适用于追踪三个森林农业分水岭中的DOM来源。从上层集水区收集了几个潜在的源最终成员,其中包括倒下的叶子,河岸芦苇,河岸杂草,水稻土,田间土壤,河边土壤,牛粪,猪粪和家禽粪便,以及他们代表性的DOM描述符的价值观在高流量期间估计和流样本的那些。通过基于值范围的标准选择的配对描述符和高流量周期之间的流样本的具有显着差异,通过结束成员混合分析来估计对流的相对源对流的贡献。发现生物指数(BIX)和陆地腐殖质的比例对腐殖质状组分的比例是最佳光学示踪剂,而蜂窝物质馏分的芳香性和C / N比是适用的色谱示踪器。由于在相同流域中不同流之间的分配源之间的分配源中的比较且较低的可变异,光示踪剂优于后者。基于光学示踪剂的估计表明,主要的DOM源与高流量流样品是土壤(22.3%-58.5%)和粪肥(12.9%-51.3%)。该比较研究提供了新的见解,以实现实际可行性和普通DOM描述符的忽略局限性歧视。

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