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Multi-scale analysis of electrical conductivity of peatlands for the assessment of peat properties

机译:泥炭地电导率的多尺度分析,用于评估泥炭特性

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Peatlands store large amounts of carbon. This storage function has been reduced through intensive drainage, which leads to the decomposition of peat, resulting in a loss of carbon. Measurements of the real (sigma) and imaginary part (sigma) of electrical conductivity can deliver information on peat properties, such as the pore fluid conductivity (sigma(w)), cation exchange capacity (CEC), bulk density ((b)), water content (WC) and soil organic matter (SOM) content. These properties change with the peat's degree of decomposition (DD). To explore the relationships between the peat properties, sigma, sigma and DD, we focused on three different types of survey and scales. First, point measurements were made with a conductivity probe at various locations over a large area of northeast Germany to determine the degree of correlation between sigma and DD. Second, nine of these locations were selected for sampling to determine which of the properties sigma(w), CEC, (b), WC and SOM predominantly influence sigma and sigma. This multisite dataset includes the entire range of DD and was analysed in the laboratory. Third, one site was selected for a survey of sigma including sampling, to identify which properties mainly control sigma in a single-site approach. Statistical analysis revealed that for the multisite laboratory dataset, sigma(w) has the strongest effect on sigma, followed by CEC, whereas sigma is mainly determined by CEC. In a single-site approach, WC followed by CEC had a dominant effect on sigma. No clear correlation could be observed between (i) DD and peat properties and (ii) DD and sigma or sigma. This is because of the complex changes in properties with increasing DD.
机译:泥炭地储存大量碳。通过大量排水减少了这种存储功能,导致泥炭分解,导致碳损失。电导率的实数(sigma)和虚数部分(sigma)的测量可以提供有关泥炭特性的信息,例如孔隙流体的电导率(sigma(w)),阳离子交换容量(CEC),堆积密度((b))。 ,水分(WC)和土壤有机质(SOM)含量。这些特性随泥炭的分解度(DD)的变化而变化。为了探索泥炭特性,sigma,sigma和DD之间的关系,我们集中于三种不同类型的调查和量表。首先,使用电导率探针在德国东北大片地区的各个位置进行点测量,以确定sigma和DD之间的相关程度。其次,从这些位置中的九个位置进行采样以确定sigma(w),CEC,(b),WC和SOM中的哪一个主要影响sigma和sigma。该多站点数据集包括DD的整个范围,并在实验室中进行了分析。第三,选择一个站点进行sigma的调查(包括抽样),以确定哪些属性主要通过单站点方法控制sigma。统计分析表明,对于多站点实验室数据集,sigma(w)对sigma的影响最大,其次是CEC,而sigma主要由CEC确定。在单站点方法中,WC和CEC在sigma中起主要作用。在(i)DD与泥炭特性之间以及(ii)DD与sigma或sigma之间没有观察到明显的相关性。这是因为随着DD的增加,特性发生了复杂的变化。

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