Comparison of different interpolation methods and sequential Gaussian simulation to estimate volumes of soil contaminated by As, Cr, Cu, PCP and dioxins/furans.

摘要: Understanding the spatial distribution of organic and/or inorganic contaminants is crucial to facilitate decision-making rehabilitation strategies in order ensure most appropriate management contaminated sites terms contaminant removals efficiencies and operating costs. For these reasons, various interpolation methods [Thiessen Polygon (TP) method, inverse distance (IDW) ordinary kriging (OK), as well sequential Gaussian simulations (SGS)] were used better understand As, Cr, Cu, pentachlorophenol (PCP) dioxins furans (PCDD/F) found onto a specific industrial site. These do not only vary complexity efficiency but also lead different results when using values coming from same characterization campaign. Therefore, it often necessary evaluate their relevance by performing comparative analysis. The showed that (OK) was estimator mean more advanced compared two other (TP IDW). However, appeared SGS has power than OK permitted calculate reliable value probabilities exceeding regulatory cut-offs contamination.