Sensitivity analysis with a 3D mixed-dimensional code for DC geoelectrical investigations of landfills: synthetic tests

Lorenzo Panzeri, Alessio Fumagalli, Laura Longoni, Monica Papini, Diego Arosio
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Abstract

Electrical resistivity tomography is a suitable technique for non-invasive monitoring of municipal solid waste landfills, but accurate sensitivity analysis is necessary to evaluate the effectiveness and reliability of geoelectrical investigations and to properly design data acquisition. Commonly, a thin high-resistivity membrane in placed underneath the waste to prevent leachate leakage. In the construction of a numerical framework for sensitivity computation, taking into account the actual dimensions of the electrodes and, in particular, of the membrane, can lead to extremely high computational costs. In this work, we present a novel approach for numerically computing sensitivity effectively by adopting a mixed-dimensional framework, where the membrane is approximated as a 2D object and the electrodes as 1D objects. The code is first validated against analytical expressions for simple 4-electrode arrays and a homogeneous medium. It is then tested in simplified landfill models, where a 2D box-shaped liner separates the landfill body from the surrounding media, and 48 electrodes are used. The results show that electrodes arranged linearly along both sides of the perimeter edges of the box-shaped liner are promising for detecting liner damage, with sensitivity increasing by 2-3 orders of magnitude, even for damage as small as one-sixth of the electrode spacing in diameter. Good results are also obtained when simulating an electrical connection between the landfill and the surrounding media that is not due to liner damage. The next steps involve evaluating the minimum number of configurations needed to achieve suitable sensitivity with a manageable field effort and validating the modeling results with downscaled laboratory tests.
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垃圾填埋场直流地质电学调查三维混合维度代码的灵敏度分析:合成试验
电阻率层析成像技术是一种适用于对城市固体废物填埋场进行非侵入式监测的技术,但要评估电学调查的有效性和可靠性并正确设计数据采集,就必须进行精确的灵敏度分析。通常情况下,在垃圾下方放置一层薄薄的高电阻率膜,以防止渗滤液泄漏。在构建灵敏度计算的数值框架时,如果考虑到电极的实际尺寸,特别是膜的实际尺寸,会导致极高的计算成本。在这项工作中,我们提出了一种有效计算灵敏度的新方法,即采用混合维框架,将膜近似为二维对象,将电极近似为一维对象。首先根据简单的 4 个电极阵列和均质介质的分析表达式对代码进行了验证。然后在简化的垃圾填埋场模型中进行了测试,在该模型中,一个二维箱形衬垫将垃圾填埋场主体与周围介质隔开,并使用了 48 个电极。结果表明,沿着箱形衬垫周边边缘两侧线性排列的电极对检测衬垫损坏很有帮助,灵敏度提高了 2-3 个数量级,即使是直径仅为电极间距六分之一的损坏也是如此。下一步工作包括评估在可控的现场工作条件下实现适当灵敏度所需的最小配置数量,并通过缩小比例的实验室测试来验证建模结果。
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