返回
Enhancing geochemical background estimation using rock weathering
DOI:10.1016/j.oregeorev.2024.106063.png)
摘要
En 中文
The chemical composition of stream sediments is heavily influenced by weathering processes occurring in upstream lithological units. Despite their importance, these processes are frequently ignored in the examination of stream sediment geochemical data when identifying mineralized zones. Instead, existing geochemical background estimation procedures rely on the area size of upstream rocks as an indicator of their contribution to elemental concentrations of sediments. To address this limitation, a stream sediment geochemical survey was conducted in a pilot area in central Iran, and the physico-mechanical properties of upstream rock types, including elastic velocities, porosity, and Schmidt hammer rebound values, were evaluated. A new weathering index, Wij, ij , was developed, utilizing proxies of rock weathering to estimate the geochemical background attributed to lithology at sediment sampling sites. The regression model was constructed by combining weathering proxies (Wij) ij ) with other independent variables, including the presence or absence of rocks in catchments, area size (Xij), ij ), and the weathering-corrected contributing factor (XijWij). ij W ij ). The results suggested the significant capability of weathering proxies in explaining the geochemical variability of major elements such as Al, K, Fe, Ca, and Na. However, the regression model using weathering-corrected contributing factors delivered better overall accuracy than other independent variables. Nevertheless, our results also identified some limitations of the application of regression model in stream sediment data analysis.
Keyword:
Stream sediment
Weathering proxy
Area size
Geochemical background
Feshark
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.6
论文数:
6.6K
被引数:
2.2W
机构
引用论文
Defective Representation of Knowledge in Parkinson's Disease: Evidence from a Script-Production Task帕金森氏病知识的缺陷表示: 来自脚本制作任务的证据

