磁标和X射线光用于绘制土壤中微量元素的地图,这些微量元素来源于玄武岩和砂岩
João de Deus Ferreira E Silva1, José Marques Júnior1, Luis Fernando Vieira da Silva2
1School of Agricultural and Veterinary Sciences, São Paulo State University (FCAV-UNESP), Via de Acesso Prof. Paulo Donato Castellane, s/n, 14884-900, Jaboticabal, São Paulo, Brazil.
Chemosphere
|September 3, 2023
概括
土壤磁性特征 (χ) 和X射线光 (XRF) 有效地绘制了,和铜等微量元素的地图. 石学背景对于准确地解释土壤微量元素和环境监测至关重要.
科学领域:
- 环境科学 环境科学
- 土壤科学 土壤科学
- 地质化学 地质化学
背景情况:
- 解释土壤微量元素度需要了解岩石学的背景.
- 土壤磁性签名 (χ) 和X射线光 (XRF) 为研究微量元素空间变异性和土壤质量监测提供了有前途的方法.
研究的目的:
- 评估 χ 和 XRF 传感器在砂岩 - 玄武岩过渡环境中的土壤中对 (Zn), (Mn) 和铜 (Cu) 的空间特征的效率.
- 利用机器学习建模,根据土壤磁性特性预测微量元素含量.
主要方法:
- 从圣保罗西部高原 (WPSP) 收集了253个土壤样本,深度为0.0-0.2米.
- 根据颗粒大小,有机物 (OM),阴离子交换能力 (CEC) 和各种氧化铁形式 (Feo,Fed,Fet,Hm,Gt,Mt,Mh) 的特征土壤.
- 采用机器学习 (随机森林) 来进行微量元素预测和用于空间插值的普通 kriging,以及描述性分析和相关性测试.
主要成果:
- 景观剖析影响了氧化铁含量,在经过较少剖析的地区,度更高.
- 微量元素含量没有受到景观剖析的显著影响,这突显了石质学的重要性.
- 机器学习模型表明,土壤磁性特征 (χ) 可以有效地描述微量元素.
- 在XRF和 χ测量之间类似的空间模式证实了这些传感器用于绘制微量元素的适用性.
结论:
- 石化学知识对于准确地描述土壤中的微量元素至关重要.
- 土壤磁性签名 (χ) 和XRF是绘制过渡环境中微量元素的宝贵工具.
- 这些方法支持可持续的土地利用规划,提供有关土壤质量和微量元素分布的见解.
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