Mary Benjamin, Sottani Andrea, Boaga Jacopo, Camerin Italo, Deiana Rita, Cassiani Giorgio
Department of Geosciences, University of Padova, Padova, Italy.
Sinergeo s.r.l., Vicenza, Italy.
Sci Total Environ. 2023 Dec 20;905:167083. doi: 10.1016/j.scitotenv.2023.167083. Epub 2023 Sep 18.
The monitoring of existing landfills is a pending environmental issue for the years to come. This monitoring is particularly challenging in the more and more common case of closed landfills, where direct investigation is difficult or impossible, calling for non-invasive methods, which in turn are stretched to maximizing their imaging capabilities in front of difficult logistical constraints, requiring novel and well-conceived scientific approaches. In this study we present a non-invasive approach designed and calibrated to identify the state of the subsoil underlying a closed urban waste landfill. In the presented case, two main questions had to be addressed: (a) whether large karstic cavities are present under the landfill, and (b) if any leachate leakage is present. A 3D Electrical Resistivity Tomography (ERT) configuration was used to solve the problem. The survey design has made use of forward model simulations, in order to verify whether the proposed approach was capable of imaging the possible large karstic cavities. This preliminary study showed the importance of choosing a suitable measurement protocol to recover the true position of the cavities. The analysis of the real field data did not show any anomaly compatible with the presence of large cavities, and thus, in comparison with the previous simulations, led to the conclusion that such cavities are not present. However, the results showed the presence of an electrically conductive anomaly, potentially be linked to leachate release. Direct investigations (drilling and sampling) confirmed the presence of fresh water in a silty sediment environment, both contributing towards the observed larger electrical conductivity, larger than the surrounding drier limestone bedrock. The presented general approach proved to be a valuable, generalizable, tool towards for the characterization and monitoring of closed landfills.
对现有垃圾填埋场进行监测是未来几年悬而未决的环境问题。在越来越多的封闭垃圾填埋场这种情况下,这种监测尤其具有挑战性,因为直接调查困难或不可能进行,这就需要采用非侵入性方法,而这些方法又要在困难的后勤限制面前充分发挥其成像能力,这就需要新颖且构思周全的科学方法。在本研究中,我们提出了一种经过设计和校准的非侵入性方法,用于识别封闭城市垃圾填埋场下方的底土状况。在给出的案例中,必须解决两个主要问题:(a)垃圾填埋场下方是否存在大型岩溶洞穴,以及(b)是否存在渗滤液泄漏。采用了三维电阻层析成像(ERT)配置来解决该问题。调查设计利用了正演模型模拟,以验证所提出的方法是否能够对可能存在的大型岩溶洞穴进行成像。这项初步研究表明选择合适的测量方案以恢复洞穴真实位置的重要性。对实际现场数据的分析未显示与大型洞穴存在相符的任何异常,因此,与之前的模拟相比,得出不存在此类洞穴的结论。然而,结果显示存在一个导电异常,可能与渗滤液排放有关。直接调查(钻探和采样)证实了粉质沉积物环境中存在淡水,这两者都导致了观测到的电导率高于周围较干燥的石灰岩基岩,从而使得电导率更大。所提出的通用方法被证明是一种用于封闭垃圾填埋场特征描述和监测的有价值、可推广的工具。