Elemental inheritance evaluation for geochemical elements in soil of the Daliangshan area, China

Author:

Zhang Zhen-Jie12ORCID,Liu Hong3,Ouyang Yuan3

Affiliation:

1. School of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China

2. State Key Lab of Geological Processes and Mineral Resources, China University of Geosciences, Beijing 100083, China

3. Chengdu Geological Survey Center of China Geological Survey, Chengdu 610081, China

Abstract

The inheritance and migration characters of different elements in the soil profile can serve agriculture, environmental protection, mineral exploration and other related research fields. These characters are mainly determined by the various geochemical behaviours of different elements. However, the elemental behaviours for the same element might vary wildly due to various local physical, chemical and biological environments, because the transformation of rock to soil includes rock-weathering and pedogenic processes. Here, we propose a framework for evaluating the elemental inheritance and migration characters from the underlying rocks or C horizons during local rock-weathering and pedogenic processes. In this framework, random forest regression was used to evaluate the importance of controlling factors, i.e. parent material or rock, climate, vegetation and topography, for individual elements during both processes. Further hierarchical clustering analysis was used to group elements into three inheritance categories according to their controlling factors. The framework was then applied in the Daliangshan area. Finally, we give some suggestions on the assessment of mineral resources, environment and agriculture according to the elemental inheritance categories in the Daliangshan area. This methodological approach can be applied to other localalities. Thematic collection: This article is part of the Applications of Innovations in Geochemical Data Analysis collection available at: https://www.lyellcollection.org/topic/collections/applications-of-innovations-in-geochemical-data-analysis Supplementary material: The original data and average feature importance for 5000 simulations are available at https://doi.org/10.6084/m9.figshare.c.6274315

Funder

Key Technologies Research and Development Program

National Natural Science Foundation of China

Chinese Geological Survey project

Fundamental Research Funds for the Central Universities

Publisher

Geological Society of London

Subject

General Earth and Planetary Sciences,Geochemistry and Petrology,General Environmental Science,General Chemistry

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