Combining geoelectrical imaging and X-ray Computed Tomography (CT) for improved hydraulic characterisation of soils
Combining geoelectrical imaging and X-ray Computed Tomography (CT) for improved hydraulic characterisation of soils
批准号:
1799463
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2016
资助国家:
英国
项目状态:
已结题
起止时间:
2016 至 --
中文摘要
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英文摘要
Soils are the host for hydrological and biogeochemical processes in the unsaturated zone. However, variations in soil structure and hydraulic properties remain difficult to quantify, hence improved physical characterisation at multiple scales is vitally important if we want to truly understand fluid dynamics and the fate of nutrients and pollutants in soils.Current soil imaging methodologies operate at different spatial scales, are sensitive to different physical properties, and have distinctive strengths. Rapid advances have recently been made in two promising, but unconnected fields, namely geoelectrical imaging and X-ray Computed Tomography(CT). Modern geophysical techniques evaluate geophysical properties of soils to infer spatiotemporal models of hydrological properties or states. Novel instrumentation with permanent sensor arrays allows continuous geophysical monitoring of soil volumes in near-real time and with practical resolutions in the cm range on soil columns. Conversely, CT maps variations of spatial attenuation of EM radiation with material densities, which allows examination of the soil porous architecture at the microscopic level. State-of-the-art CT systems achieve much higher spatial resolution than geophysics (~10m voxels on 10mm samples), however accurate segmentation of soil images is non-trivial, a trade-off exists between sample size and resolution, and repeat measurements, e.g. to track moisture dynamics, are time-consuming.Integration of both methodologies has not been attempted so far, however their joint application to quantitative soil characterisation offers great potential for reducing uncertainty in the imaging of preferential flow and estimation of unsaturated hydraulic conductivity. This would benefit studies of agricultural and industrial leaching of contaminants in different soil scenarios.Project aims:Design and undertake pioneering laboratory experiments using concurrent CT and geophysical measurements on soil columns or core;Assess the potential of synergetic imaging by exploiting complementarity;Establish theoretical and quantitative modelling frameworks to explain observed results.Programme of research:The student will explore opportunities arising from typical experimental designs employed in (i)hydrogeophysical laboratory studies on soils undertaken at BGS, and (ii)CT imaging studies of soil pore structure undertaken at the School of Biosciences(UoN). Given practical constraints (scale, resolution, instrumental capability, laboratory space), soil columns/core of ~25cm diameter and ~1 m height will likely form a starting point for synergetic CT and geoelectrical imaging. It is expected that multi-sensor electrical resistivity tomography(ERT) or spectral induced polarisation (SIP)[3] will be the dominant geophysical techniques. The columns will be instrumented with galvanically[2] or capacitively[8] coupled sensor arrays. BGS will provide geoelectrical imaging equipment, & the CT imaging work will be undertaken with UoNs CT scanners.An experimental protocol and measurement strategy will be developed to overcome practical issues (e.g. imaging artefacts). The effect of variations in sample geometry will be assessed and soils of different geological provenance and contrasting texture (sand-dominated versus clay-dominated) and structure (lab-assembled versus field-structured) will be investigated to determine limiting factors of the experimental strategy. Changes in soil water (with and without solutes) distribution will be systematically imaged by both methodologies, in order to quantify their relative sensitivities to these changes. The impact of the synergetic approach on estimating unsaturated hydraulic properties will be assessed and a quantitative modelling framework established. Combined analysis of the data sets using image analysis & computer vision approaches will elucidate relationships between lower-resolution geophysical data and features extracted from CT.
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Hydrodynamic characterization of soil compaction using integrated electrical resistivity and X‐ray computed tomography
使用集成电阻率和 X 射线计算机断层扫描对土壤压实进行水动力表征
DOI:
--
发表时间:
2021
期刊:
Vadose Zone Journal
影响因子:
2.8
作者:
[M. Cimpoiasu, O. Kuras, P. Wilkinson, T. Pridmore, S. Mooney]
通讯作者:
S. Mooney
A quantitative link between undisturbed soil pore architecture and time-lapse electrical resistivity measurements of fluid flow
原状土壤孔隙结构与流体流动的延时电阻率测量之间的定量联系
DOI:
--
发表时间:
2020
期刊:
影响因子:
--
作者:
[Cimpoiasu MO]
通讯作者:
Cimpoiasu MO
DOI:
10.1016/j.geoderma.2020.114232
发表时间:
2020-04
期刊:
Geoderma
影响因子:
6.1
作者:
[M. Cimpoiasu;O. Kuras;T. Pridmore;S. Mooney]
通讯作者:
M. Cimpoiasu;O. Kuras;T. Pridmore;S. Mooney
Integrated analysis of multi-scale electrical signatures for characterizing soil water dynamics in century-old biochar enriched agroecosystems
多尺度电信号综合分析,用于表征百年生物炭丰富的农业生态系统中的土壤水动态
DOI:
10.5194/egusphere-egu2020-21978
发表时间:
2020
期刊:
影响因子:
--
作者:
[Placencia-Gomez E]
通讯作者:
Placencia-Gomez E
Enhancing Time-Lapse Geoelectrical Models of Soil Moisture Dynamics with a-priori X-Ray CT Derived Information
利用先验 X 射线 CT 导出信息增强土壤湿度动态的延时地电模型
DOI:
--
发表时间:
2019
期刊:
影响因子:
--
作者:
[Cimpoiasu MO]
通讯作者:
Cimpoiasu MO
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