Escuela Técnica Superior de Ingenieros Agrónomos de Ciudad Real, Universidad de Castilla-La Mancha, 13071, Ciudad Real, Spain.
Instituto Geología Aplicada, Universidad de Castilla-La Mancha, 13400 Almadén, Ciudad Real, Spain.
Environ Sci Pollut Res Int. 2019 Feb;26(4):3100-3114. doi: 10.1007/s11356-017-0010-6. Epub 2017 Sep 7.
Castilla-La Mancha (central Spain) is a region characterized by significant agricultural production aimed at high-quality food products such as wine and olive oil. The quality of agricultural products depends directly on the soil quality. Soil geochemistry, including dispersion maps and the recognition of baselines and anomalies of various origins, is the most important tool to assess soil quality. With this objective, 200 soil samples were taken from agricultural areas distributed among the different geological domains present in the region. Analysis of these samples included evaluation of edaphological parameters (reactivity, electrical conductivity, organic matter content) and the geochemistry of major and trace elements by X-ray fluorescence. The dataset obtained was statistically analyzed for major elements and, in the case of trace elements, was normalized with respect to Al and analyzed using the relative cumulative frequency (RCF) distribution method. Furthermore, the geographic distribution of analytical data was characterized and analyzed using the kriging technique, with a correspondence found between major and trace elements in the different geologic domains of the region as well as with the most important mining areas. The results show an influence of the clay fraction present in the soil, which acts as a repository for trace elements. On the basis of the results, of the possible elements related with clay that could be used for normalization, Al was selected as the most suitable, followed by Fe, Mn, and Ti. Reference values estimated using this methodology were lower than those estimated in previous studies.
卡斯蒂利亚-拉曼恰(西班牙中部)是一个以生产高品质食品(如葡萄酒和橄榄油)为特色的农业产区。农产品的质量直接取决于土壤质量。土壤地球化学,包括分散图以及各种来源的基线和异常的识别,是评估土壤质量的最重要工具。为此,从分布在该地区不同地质区域的农业区采集了 200 个土壤样本。对这些样本的分析包括评估土壤参数(反应性、电导率、有机质含量)和 X 射线荧光法分析主要和微量元素的地球化学。对主要元素的数据集进行了统计分析,对于微量元素,则相对于 Al 进行了归一化,并使用相对累积频率(RCF)分布方法进行了分析。此外,还使用克立格技术对分析数据的地理分布进行了描述和分析,在该地区的不同地质区域以及最重要的矿区发现了主要和微量元素之间的对应关系。结果表明,土壤中存在的粘土矿物对微量元素有影响,粘土矿物是微量元素的储存库。基于结果,在可能与粘土有关的可用于归一化的元素中,选择了 Al 作为最适合的元素,其次是 Fe、Mn 和 Ti。使用该方法估计的参考值低于以前研究中估计的值。