探索阳离子交换容量与磁感应强度之间的联系

IF 5.8 2区 农林科学 Q1 SOIL SCIENCE
Soil Pub Date : 2024-11-05 DOI:10.5194/egusphere-2024-3306
Gaston Matias Mendoza Veirana, Hana Grison, Jeroen Verhegge, Wim Cornelis, Philippe De Smedt
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引用次数: 0

摘要

摘要本研究探讨了欧洲不同土壤的土壤磁感应强度(𝜅)与阳离子交换容量(𝐶𝐸𝐶)之间的关系,旨在利用近地表电磁地球物理学增强土壤𝐶𝐸𝐶的植被转移函数(PTFs)。我们假设,土壤𝜅可以通过反映土壤的矿物成分(尤其是砂质土壤)来改进𝐶𝐸𝐶的预测。我们从比利时、荷兰和塞尔维亚的 49 个垂直剖面土壤样本中收集了数据,包括现场条件下的𝜅(𝜅∗)、实验室中的低频和高频𝜅、现场电导率(𝜎)、铁含量、土壤质地、腐殖质含量、容重、含水量、水 pH 值和𝐶𝐸𝐶。我们以这些特性为特征,建立了单变量和多变量(成对)多项式回归,以预测砂质土和粘质土的𝐶𝐸𝐶。结果表明,𝜅∗ 能显著改善沙质土壤中的𝐶𝐸𝐶 预测结果,与粘土含量无关,其中组合𝜅∗ - 𝜎 模型的预测性能最高(R2 = 0.94)。相比之下,实验室测量的𝜅效果较差,这可能是由于样本干扰造成的。本研究提出了一种基于𝜎和𝜅∗的新型𝐶𝐸𝐶 PTF,为在野外条件下估算𝐶𝐸𝐶提供了一种快速、经济有效的方法。虽然我们的研究结果强调了将地球物理测量与土壤特征描述相结合的价值,但还需要进一步的研究来完善𝜅- 𝐶𝐸𝐶的关系,并开发出适用范围更广的模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the link between cation exchange capacity and magnetic susceptibility
Abstract. This study explores the relationship between soil magnetic susceptibility (𝜅) and cation exchange capacity (𝐶𝐸𝐶) across diverse European soils, aiming to enhance pedotransfer functions (PTFs) for soil 𝐶𝐸𝐶 using near-surface electromagnetic geophysics. We hypothesize that soil 𝜅, can improve the prediction of 𝐶𝐸𝐶 by reflecting the soil’s mineralogical composition, particularly in sandy soils. We collected data from 49 soil samples in vertical profiles across Belgium, the Netherlands, and Serbia, including 𝜅 in field conditions (𝜅), low and high frequency 𝜅 in the laboratory, in-site electrical conductivity (𝜎), iron content, soil texture, humus content, bulk density, water content, water pH, and 𝐶𝐸𝐶. We used these properties as features to develop univariable and multivariable (in pairs) polynomial regressions to predict 𝐶𝐸𝐶 for sandy and clayey soils. Results indicate that 𝜅 significantly improves 𝐶𝐸𝐶 predictions in sandy soils, independent of clay content, with a combined 𝜅- 𝜎 model achieving the highest predictive performance (R2 = 0.94). In contrast, laboratory-measured 𝜅 was less effective, likely due to sample disturbance. This study presents a novel 𝐶𝐸𝐶 PTF based on 𝜎 and 𝜅, offering a rapid, cost-effective method for estimating 𝐶𝐸𝐶 in field conditions. While our findings underscore the value of integrating geophysical measurements into soil characterization, further research is needed to refine the 𝜅- 𝐶𝐸𝐶 relationship and develop a more widely applicable model.
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来源期刊
Soil
Soil Agricultural and Biological Sciences-Soil Science
CiteScore
10.80
自引率
2.90%
发文量
44
审稿时长
30 weeks
期刊介绍: SOIL is an international scientific journal dedicated to the publication and discussion of high-quality research in the field of soil system sciences. SOIL is at the interface between the atmosphere, lithosphere, hydrosphere, and biosphere. SOIL publishes scientific research that contributes to understanding the soil system and its interaction with humans and the entire Earth system. The scope of the journal includes all topics that fall within the study of soil science as a discipline, with an emphasis on studies that integrate soil science with other sciences (hydrology, agronomy, socio-economics, health sciences, atmospheric sciences, etc.).
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