Risk-based imprecise post-remediation soil quality objectives.

While risk-based contaminated land management is an essential component of sustainable remediation, uncertainty is an unavoidable aspect of risk assessment, since most of the parameters that influence risk are typically affected by uncertainty. Uncertainty may be of different origins; i.e.

Prospective analysis of the flows of certain rare earths in Europe at the 2020 horizon.

This paper proposes a forecast of certain rare earth flows in Europe at the 2020 horizon, based on an analysis of trends influencing various actors of the rare earth industry along the value chain. While 2020 is indicated as the forecast horizon, the analysis should be considered as more representative of the next decade. The rare earths considered here are used in applications that are important for a low-carbon energy transition and/or have a significant recycling potential: NdFeB magnets (Pr, Nd, Dy), NiMH batteries (Pr, Nd) and fluorescent lamp phosphors (Eu, Tb, Y).

Quantifying uncertainty in LCA-modelling of waste management systems.

Uncertainty analysis in LCA studies has been subject to major progress over the last years. In the context of waste management, various methods have been implemented but a systematic method for uncertainty analysis of waste-LCA studies is lacking. The objective of this paper is (1) to present the sources of uncertainty specifically inherent to waste-LCA studies, (2) to select and apply several methods for uncertainty analysis and (3) to develop a general framework for quantitative uncertainty assessment of LCA of waste management systems.

Investigations of natural attenuation in groundwater near a landfill and implications for landfill post-closure.

The controlled landfill technology is now adopting passive attenuation techniques as an increasing number of landfill sites reach the post-closure phase. During the post-closure phase, landfill operators need to convince environmental authorities that landfills no longer pose a threat to health or the environment. The demonstration of acceptable risk should rely in particular on data collected during environmental monitoring in addition to modelling of possible future evolutions of environmental concentrations.

Comparison of percolation to batch and sequential leaching tests: theory and data.

This article constitutes a brief discussion of the article by Grathwohl and Susset (2009) on the interpretation of column and batch leaching tests. The objective of the discussion is to contribute to certain issues raised by the original article, with particular reference to data presented by Guyonnet et al. (2008) in this journal and cited by the authors.

Joint propagation of variability and imprecision in assessing the risk of groundwater contamination.

Estimating risks of groundwater contamination often require schemes for representing and propagating uncertainties relative to model input parameters. The most popular method is the Monte Carlo method whereby cumulative probability distributions are randomly sampled in an iterative fashion. The shortcoming of the approach, however, arises when probability distributions are arbitrarily selected in situations where available information is incomplete or imprecise.

Reactivity of waste generated during lead recycling: an integrated study.

Lead consumption in Europe is 2.054 M tonnes/year, more than 70% of which is produced by recycling and, more specifically, the recycling of car batteries. This industry is jeopardised by the method employed so far, recycling by alkaline fusion, because the treatment produces 200,000 tonnes of toxic and unstable slag.

Dimensionless analysis of two analytical solutions for 3-D solute transport in groundwater.

Analytical solutions are widely used as screening tools for estimating the potential for contaminant transport in groundwater, or for interpreting tracer tests or groundwater quality data. A solution for three-dimensional solute migration from a plane-source source that is frequently used in practice is the approximate solution of Domenico [J. Hydrol.