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Principal component analysis and ordinal multicriteria methods to study organosols and related soils.

机译:主成分分析和序数多准则方法研究有机溶胶和相关土壤。

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摘要

One important property of Organosols (Histosols) (and soils with high content of organic carbon) to predict use potential and degradation risks is the degree of subsidence (loss of mass and volume). In Organosols, the subsidence risks vary according to the soil attributes, mainly the nature of organic matter and deposition environment. In this paper, 19 soil profiles from different parts of Brazil were studied, collected and described according to procedures recommended by the SBCS (Brazilian Soil Science Society); the analytical methods proposed by EMBRAPA-Solos were used to characterize the soils. The principal component analysis was used to cluster the profiles based on morphological, physical, chemical and environmental attributes and proved adequate to group the soils under study based on the profile attributes and the grouping was well related to their taxonomy. The soil profiles were ranked by the ordinal multicriteria methods of Border, Condorcet and Copeland based on the subsidence risk. Results indicated a correlation between the methods (with exception of the Condorcet approach, unsuitable to rank the alternatives) and the minimum residue, which is the classical parameter for the evaluation of subsidence, indicating efficacy to rank/classify the soil profiles in relation to subsidence risk. The quantitative approaches used are promising as evaluation tools in soil science studies.
机译:有机溶胶(Histosols)(和有机碳含量高的土壤)预测使用潜力和降解风险的一项重要属性是沉降程度(质量和体积的损失)。在有机溶胶中,下沉风险根据土壤属性(主要是有机物的性质和沉积环境)而变化。本文根据巴西土壤科学学会(SBCS)推荐的程序研究,收集和描述了巴西不同地区的19种土壤剖面; EMBRAPA-Solos提出的分析方法用于表征土壤。主成分分析用于根据形态,物理,化学和环境属性对剖面进行聚类,并证明足以根据剖面属性对正在研究的土壤进行分组,并且分组与它们的分类法密切相关。根据下陷风险,通过边界,孔多塞和谷轮的序数多准则方法对土壤剖面进行排序。结果表明方法之间的相关性(除Condorcet方法外,不适合对替代方案进行排名)和最小残留量(这是评估沉降的经典参数),表明与沉降相关的对土壤剖面进行分类/分类的功效风险。使用的定量方法有望作为土壤科学研究中的评估工具。

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