Coupled Hydrogeophysical Modeling to Constrain Unsaturated Soil Parameters for a Slow-Moving Landslide

IF 4.6 1区 地球科学 Q2 ENVIRONMENTAL SCIENCES
J. P. Boyd, J. E. Chambers, P. B. Wilkinson, P. I. Meldrum, E. Bruce, A. Binley
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引用次数: 0

Abstract

Geophysical methods have proven to be useful for investigating unstable slopes as they are both non-invasive and sensitive to the spatial distribution of physical properties in the subsurface. Of particular interest are the links between electrical resistivity and near-surface moisture content; recent work has demonstrated that it is possible to calibrate hydrological models using geophysical measurements. In this study we explore the use of in-field electrical resistivity data for calibrating unsaturated soil retention parameters and saturated hydraulic conductivity used for modeling unsaturated fluid flow. We study a synthetic case study, and a well-characterized site in the northeast of England and develop an approach to calibrate retention parameters for a mudstone and a sandstone formation, the former being an actively failing unit. Petrophysical relationships between electrical resistivity and moisture content (or saturation) are established for both formations. 2D hydrological models are driven by effective rainfall estimations; subsequently these models are coupled with a geophysical forward model via a Markov chain Monte Carlo approach. For the synthetic case, we show that our modeling approach is sensitive to the moisture retention parameters, while less so to saturated hydraulic conductivity. We observe the same characteristics and sensitivities for the field case, albeit with a greater data misfit. Further hydrological simulations suggest that the slope retained high moisture contents in the months preceding a rotational failure. Therefore, we propose that coupled hydrological and geophysical modeling approaches could aid in enhancing landslide monitoring, modeling, and early warning efforts.
通过水文地质物理耦合建模来限制缓慢移动滑坡的非饱和土壤参数
事实证明,地球物理方法对调查不稳定斜坡非常有用,因为它们既非侵入性,又对地下物理特性的空间分布非常敏感。电阻率与近地表含水量之间的联系尤其引人关注;最近的研究表明,利用地球物理测量方法校准水文模型是可行的。在本研究中,我们探讨了如何利用现场电阻率数据来校准用于非饱和流体流动建模的非饱和土壤滞留参数和饱和导水性。我们研究了一个合成案例研究和英格兰东北部一个特征明显的地点,并开发了一种方法来校准泥岩和砂岩地层的保留参数,前者是一个活跃的衰竭单元。为这两种地层建立了电阻率与含水量(或饱和度)之间的岩石物理关系。二维水文模型由有效降雨估算驱动;随后,这些模型通过马尔科夫链蒙特卡罗方法与地球物理前向模型耦合。在合成情况下,我们发现我们的建模方法对水分保持参数很敏感,而对饱和导流系数则不太敏感。我们在实地案例中观察到了相同的特征和敏感性,尽管数据误差更大。进一步的水文模拟结果表明,斜坡在发生旋转崩塌之前的几个月中保持了较高的含水量。因此,我们认为水文和地球物理耦合建模方法有助于加强滑坡监测、建模和预警工作。
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来源期刊
Water Resources Research
Water Resources Research 环境科学-湖沼学
CiteScore
8.80
自引率
13.00%
发文量
599
审稿时长
3.5 months
期刊介绍: Water Resources Research (WRR) is an interdisciplinary journal that focuses on hydrology and water resources. It publishes original research in the natural and social sciences of water. It emphasizes the role of water in the Earth system, including physical, chemical, biological, and ecological processes in water resources research and management, including social, policy, and public health implications. It encompasses observational, experimental, theoretical, analytical, numerical, and data-driven approaches that advance the science of water and its management. Submissions are evaluated for their novelty, accuracy, significance, and broader implications of the findings.
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