Developing decision support tools for the selection of "gentle" remediation approaches
Onwubuya, Kene | Cundy, Andrew | Puschenreiter, Markus | Kumpiene, Jurate | Bone, Brian | Greaves, Jon | Teasdale, Phillip | Mench, Michel | Tlustos, Pavel | Mikhalovsky, Sergey | Waite, Steve | Friesl-Hanl, Wolfgang | Marschner, Bernd | Muller, Ingo | University of Brighton | Universität für Bodenkultur Wien = University of Natural Resources and Life Sciences [Vienne, Autriche] (BOKU) | Luleå University of Technology = Luleå Tekniska Universitet (LUT) | Environment Agency | Biodiversité, Gènes & Communautés (BioGeCo) ; Institut National de la Recherche Agronomique (INRA)-Université de Bordeaux (UB) | Czech Technical University in Prague (CTU) | Austrian Institute of Technology (AIT) | Ruhr University Bochum = Ruhr-Universität Bochum (RUB) | Saxon State Office for Environment, Agriculture and Geology
Complément de : "European Union ERANET SNOWMAN project SUMATECS (Sustainable Management of Trace Element Contaminated Sites)"
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Показать больше [+] Меньше [-]Английский. A range of tools have been proposed to support decision making in contaminated land remediation. From a European perspective it is clear, however, that there are considerable national differences in the decision support process, and more generally in the extent to which this process supports the selection of less invasive, alternative remediation options such as phytoremediation, in situ immobilisation etc. (referred to here as “gentle” remediation technologies). In this paper we present results from the recently completed European Union ERANET SNOWMAN project SUMATECS (Sustainable Management of Trace Element Contaminated Sites), and critically review available decision support tools in terms of their fitness for purpose for the application of gentle remediation technologies. Stakeholder feedback indicates a lack of knowledge amongst stakeholders of currently available decision support tools. We propose that decision support which focuses on gentle remediation is more strongly incorporated into existing, well-established (national) decision support tools / decision-frameworks, to promote more widespread use and uptake.
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