Probing water partitioning in unsaturated weathered rock using nuclear magnetic resonance

基岩 包气带 大孔隙 饱和(图论) 风化作用 含水量 地质学 土壤科学 土壤水分 矿物学 水分 地貌学 化学 岩土工程 介孔材料 组合数学 生物化学 数学 催化作用 有机化学
作者
Fan Zhang,Chi Zhang
出处
期刊:Geophysics [Society of Exploration Geophysicists]
卷期号:86 (5): WB131-WB147 被引量:8
标识
DOI:10.1190/geo2020-0591.1
摘要

”Rock moisture” (exchangeable water stored in weathered bedrock beneath the soil) is a key and yet overlooked component in hydrologic cycles. It can be partitioned to free water and capillary-bound water. Determining dynamic partitioning of rock moisture is crucial for conceptualizing critical zone functions and climate and hydrologic modeling. However, the quantification of rock moisture partitioning is challenging, especially in rocks with complex pore structures and weathering patterns. Laboratory nuclear magnetic resonance (NMR) measurements are performed on heterogeneous bedrock samples from a merokarst vadose zone to quantify the dynamics of rock moisture partitioning during the drying process. By fitting a multi-Gaussian function, NMR [Formula: see text] distributions are autodecomposed into multiple [Formula: see text] peaks representing different pore sizes and environments. This spectral analysis enables us to track the change of position, width, and area of peaks at any given saturation stage, shedding light on water depletion rates and patterns, water residence time, and partitioning and redistribution of the water in drying rocks. The changes in [Formula: see text] peaks associated with drying among our samples show strong correspondence with mineralogy, and [Formula: see text]-[Formula: see text] measurements indicate that rock moisture depletion and redistribution are closely related to the pore structures. Limestone with well-connected macropores shows a sequential water loss from large to small pores, whereas limestone with poorly connected macropores simultaneously loses water from all pore sizes. The [Formula: see text] peak decomposition analysis can be extended to the field scale to track rock moisture partitioning in the pore network. This capability has implications for documenting critical zone processes, including quantifying water storage dynamics, estimating plant available water, and monitoring weathering processes.
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