I siti industriali abbandonati sono generalmente caratterizzati da contaminazione del suolo e del sottosuolo. Il paradigma attualmente impiegato per il loro risanamento è quello della “tabula rasa”, ovvero il risanamento dell’intero sito prima della sua riconversione. Tuttavia, questo metodo non è sostenibile dal punto di vista economico, sociale o tecnologico: ritarda il riutilizzo di vaste aree, spesso ben collegate alle infrastrutture, il cui riutilizzo potrebbe impedire un ulteriore consumo di suolo. Una possibile soluzione a questo problema è l’applicazione dei principi del riutilizzo adattivo.
Abandoned industrial sites are generally characterized by soil and subsoil contamination. The paradigm currently employed for their remediation is “tabula rasa”, i.e., remediation of the entire site before its repurpose. However, this method is not economically, socially, or technologically sustainable: it delays the reuse of large areas, often well-connected to infrastructures, whose reuse may prevent further soil consumption. A possible solution to this problem is the application of adaptive reuse principles. This study, conducted at FULL (Future Urban Legacy Lab) in Politecnico di Torino, presents an interdisciplinary approach to spatialize, visualize, and manage interactions between reclamation and urban design for the transformation of contaminated urban areas. The core is based on a decision support parametric toolkit, named AdRem, developed to compare available remediation techniques and schematic urban design solutions. AdRem uses a 3D modeling inter- face and VPL scripting. Required input data are a geometric description of the site, data on the contamination status, viable remediation techniques, and associated features, and schematic urban design recommendations. A filtering process selects the techniques compatible with the site use foreseen. The output is an optimized remediation and reuse plan that can support an interdisciplinary discussion on possible site regeneration options.
