Contaminated sites are complex systems posing challenges for their characterization as both contaminant distribution and hydrogeological properties vary markedly at the metric scale, yet may extend over broad areas, with serious issues of spatial under-sampling in the space. Characterization with sufficient spatial resolution is thus, one of the main concerns and still open areas of research. To this end, the joint use of direct and indirect (i.e., geophysical) investigation methods is a very promising approach. This paper presents a case study aspiring to demonstrate the benefit of a multidisciplinary approach in the characterization of a hydrocarbon-contaminated site. Detailed multi-source data, collected via stratigraphic boreholes, laser-induced fluorescence (LIF) surveys, electrical resistivity tomography (ERT) prospecting, groundwater hydrochemical monitoring, and gas chromatography–mass spectrometry (GC–MS) analyses were compiled into an interactive big-data package for modeling activities. The final product is a comprehensive conceptual hydro-geophysical model overlapping multi-modality data and capturing hydrogeological and geophysical structures, as well as contamination distribution in space and dynamics in time. The convergence of knowledge in the joint model verifies the possibility of discriminating geophysical findings based on lithological features and contamination effects, unmasking the real characteristics of the pollutant, the contamination mechanisms, and the residual phase hydrocarbon sequestration linked to the hydrogeological dynamics and adopted remediation actions. The emerging conceptual site model (CSM), emphasizing the necessity of a large amount of multi-source data for its reliable, high-resolution reconstruction, appears as the necessary tool for the design of remedial actions, as well as for the monitoring of remediation performance.

污染场地是复杂的系统，对其表征提出了挑战，因为污染物分布和水文地质特性在公制尺度上变化很大，但可能会延伸到广阔的区域，空间中的空间采样不足的严重问题。因此，具有足够空间分辨率的表征是主要关注点之一，并且仍然是开放的研究领域。为此，联合使用直接和间接（即地球物理）调查方法是一种非常有前途的方法。本文介绍了一个案例研究，旨在证明多学科方法在表征碳氢化合物污染场地的好处。详细的多源数据，通过地层钻孔、激光诱导荧光 (LIF) 调查、电阻率断层扫描 (ERT) 勘探、地下水水化学监测和气相色谱-质谱 (GC-MS) 分析被编译成用于建模活动的交互式大数据包。最终产品是一个综合性的水文地球物理概念模型，涵盖多模态数据并捕捉水文地质和地球物理结构，以及空间中的污染分布和时间动态。联合模型中的知识融合验证了基于岩性特征和污染效应区分地球物理发现的可能性，揭示污染物的真实特征、污染机制以及与水文地质动力学相关的残余相烃封存和采取的补救措施. 新兴的概念场地模型（CSM），