New soil weathering index based on compositional data analyses of silt to sand sized parent mineral assemblages of terra rossa soils

IF 3.4 2区 地球科学 Q1 GEOCHEMISTRY & GEOPHYSICS
Ivan Razum , Snježana Mikulčić Pavlaković , Vedran Rubinić , Goran Durn
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引用次数: 0

Abstract

Weathering indices are widely used in soil science and some other environmental disciplines for a variety of purposes (e. g. for soil classification, in soil formation studies, or in wider palaeoclimatic research). Two main categories of weathering indices have been developed: geochemical and mineralogical. In both cases, an approach is developed that takes into account the compositional nature of the geochemical data. To date, however, the most commonly used weathering indices are geochemical indices that do not consider the geochemical data as compositional. Although the compositional approach minimises possible statistical errors, the weathering indices developed in both approaches, i.e., compositional and classical, axiomatically assume two things that are inaccurate in some cases. First, that soil composition is invariant with respect to the preferential translocation of clay-sized particles, i.e. lessivage, and second, that the selective sorting of minerals during transport does not affect the values of weathering indices. As a result, in some cases bulk analyses of mineralogical and geochemical content are an unreliable tool for determining weathering rates of soil. To overcome these difficulties, this study proposes a new weathering index (Wp-min) based on the orthonormal log ratio (olr) transformation of quantitative mineral data derived from silt- to sand-sized allochthonous mineral assemblages. The size fraction used ensures that only the parent mineral assemblages, which are not prone to translocation, are analysed. In this paper, olr transformation is done using the concept of balances. This enabled the construction of variables, which essentially are various mineral log ratios, with the desired properties, i.e. transport invariance and sensitivity to selective dissolution. In this way, undesirable effects, i.e. selective sorting and lessivage, which ultimately affect bulk analyses, are avoided, allowing a more accurate estimation of weathering in the soil profiles studied. The new index was validated by comparison with the geochemical W index, which was modified by consulting the standardized variation matrix prior to element selection. Ultimately, compared to the geochemical index, the new index was better able to characterise weathering in soils where intense lessivage was detected. The study was conducted on terra rossa soils, which have common source, mostly of aeolian origin.

基于粉土至砂土母质矿物组合成分数据分析的新土壤风化指数
风化指数广泛应用于土壤科学和其他一些环境学科,目的多种多样(如土壤分类、土壤形成研究或更广泛的古气候研究)。目前已开发出两大类风化指数:地球化学指数和矿物学指数。在这两种情况下,开发的方法都考虑到了地球化学数据的组成性质。但迄今为止,最常用的风化指数都是地球化学指数,不考虑地球化学数据的成分性。虽然成分方法可将可能出现的统计误差降至最低,但这两种方法(即成分方法和经典方法)所开发的风化指数都公理地假定了两点,而这两点在某些情况下是不准确的。首先,土壤成分在粘土大小的颗粒优先转移(即少风化)方面是不变的;其次,矿物在迁移过程中的选择性分选不会影响风化指数的值。因此,在某些情况下,矿物学和地球化学含量的批量分析是确定土壤风化率的不可靠工具。为了克服这些困难,本研究提出了一种新的风化指数(Wp-min),该指数基于从淤泥到沙粒大小的同生矿物集合体中提取的定量矿物数据的正交对数比(olr)变换。所使用的粒度分段可确保只分析不易发生易位的母体矿物组合。在本文中,olr 转换是利用平衡概念完成的。这使得变量的构建成为可能,这些变量本质上是各种矿物的对数比率,具有所需的特性,即迁移不变性和对选择性溶解的敏感性。这样就避免了最终影响批量分析的不良影响,即选择性分选和少溶,从而可以更准确地估计所研究土壤剖面的风化情况。新指数与地球化学 W 指数进行了比较验证,后者在元素选择前参考了标准化变化矩阵进行了修改。最终,与地球化学指数相比,新指数能更好地描述检测到强烈少风化的土壤的风化特征。这项研究是在赤红壤上进行的,赤红壤有共同的来源,大多来自风化。
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来源期刊
Journal of Geochemical Exploration
Journal of Geochemical Exploration 地学-地球化学与地球物理
CiteScore
7.40
自引率
7.70%
发文量
148
审稿时长
8.1 months
期刊介绍: Journal of Geochemical Exploration is mostly dedicated to publication of original studies in exploration and environmental geochemistry and related topics. Contributions considered of prevalent interest for the journal include researches based on the application of innovative methods to: define the genesis and the evolution of mineral deposits including transfer of elements in large-scale mineralized areas. analyze complex systems at the boundaries between bio-geochemistry, metal transport and mineral accumulation. evaluate effects of historical mining activities on the surface environment. trace pollutant sources and define their fate and transport models in the near-surface and surface environments involving solid, fluid and aerial matrices. assess and quantify natural and technogenic radioactivity in the environment. determine geochemical anomalies and set baseline reference values using compositional data analysis, multivariate statistics and geo-spatial analysis. assess the impacts of anthropogenic contamination on ecosystems and human health at local and regional scale to prioritize and classify risks through deterministic and stochastic approaches. Papers dedicated to the presentation of newly developed methods in analytical geochemistry to be applied in the field or in laboratory are also within the topics of interest for the journal.
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