IRSTEA, Hydrosystems and Bioprocesses Antony, HBAN, 1 rue Pierre Gilles de Gennes, 10030Cedex, 92761, Antony, CS, France.
Environ Sci Pollut Res Int. 2018 Aug;25(24):23502-23514. doi: 10.1007/s11356-016-7366-x. Epub 2016 Aug 26.
In France, 10 % of total arable land is equipped with subsurface drainage systems, to control winter and spring waterlogging due to a temporary perched water table. Most of these systems were installed in the1980s and have aged since then and may now need maintenance. Sometimes, the location of the systems is known, but the standard situation in France is that the original as-built master sketches are no longer available. Performance assessment of drainage systems and curative actions are complicated since drain location is unknown. In this article, the authors test the application of a non-destructive drain detection method which consists in water injection at the outfall of the drainage network combined with time-lapse electrical resistivity tomography (ERT) monitoring. To assess the performance of this methodology, which consists in measuring electrical resistivity from electrodes placed at the nodes of a 1.2-m regular mesh, the authors interpreted the signal using a two-step approach. The first step is based on 3D ERT numerical modelling during a scenario of surface infiltration processes (forward modelling followed by geophysical inversion); this step optimizes the ERT method for locating the infiltration at depths below 1 m. The second step is the validation of the results obtained by numerical modelling with an experimental data set, using water injection into the drainage network combined with time-lapse ERT monitoring on an experimental field site. The results showed the relevance of time-lapse ERT monitoring on a small agricultural plot for locating the drainage network. The numerical results also showed several limitations of the combined methodology: (i) it is necessary to use an electrode spacing unit less than 1.20 m, which does not facilitate investigation on large agriculture plots, (ii) measurements must be taken when resistivity contrast is the strongest between the infiltration area and the soil and (iii) the volume of water needed for injection can limit the extension of the method.
在法国,有 10%的耕地配备了地下排水系统,以控制冬季和春季因临时积水而产生的涝渍。这些系统大多建于 20 世纪 80 年代,此后已经老化,现在可能需要维护。有时,系统的位置是已知的,但法国的标准情况是,原始的竣工草图不再可用。由于排水位置未知,因此对排水系统的性能评估和治疗措施变得复杂。在本文中,作者测试了一种非破坏性排水检测方法的应用,该方法包括在排水网络的出水口注水,并结合时间推移电阻率层析成像(ERT)监测。为了评估该方法的性能,该方法包括从放置在 1.2 米规则网格节点上的电极测量电阻率,作者使用两步法解释信号。第一步是基于表面渗透过程的 3D ERT 数值模拟(正向模拟,然后进行地球物理反演);这一步优化了用于定位 1 米以下渗透的 ERT 方法。第二步是使用实验数据集验证数值模拟结果,在实验现场将水注入排水网络并进行时间推移 ERT 监测。结果表明,在小农田上进行时间推移 ERT 监测对于定位排水网络具有重要意义。数值结果还显示了联合方法的几个局限性:(i)需要使用小于 1.20 米的电极间距单元,这不利于对大型农田进行调查,(ii)必须在渗透区和土壤之间的电阻率对比度最强时进行测量,以及(iii)需要注入的水量可能会限制该方法的扩展。