Sustainable Remediation: Challenges for an Interdisciplinary Approachto Contaminated Site Management
Notice bibliographique
Résumé
The remediation of contaminated sites is generally considered beneficial to the environment because it removes or reduces, immobilises, and/or shields the contamination to acceptable risks for the current and future use of the site.However, the remediation activities themselves can also negatively impact the environment, affect local communities, and involve high costs that are disproportionate to the benefits of remediation.Sustainability is increasingly being included as an objective of a remediation project, considering the overall environmental, social and economic impact of the entire site remediation project when determining the appropriate remediation methods.The aim of this study is to assess how 'sustainable remediation', as well as the tools that are being developed to evaluate the sustainability of remediation projects, have evolved over the last five years.Special attention will also go to the inclusion of social aspects in the sustainability assessment of site remediation, since because previous research has regularly indicated that this remains a concern in remediation projects [1].Many studies focus on life cycle assessment (LCA) to compare the environmental impacts of different options for site remediation.However, these LCA studies are more and more integrated in an overall assessment, in which also economic and social issues are also considered.The SuRF-UK indicator framework [2] has been used in several cases as a basis for a sustainability evaluation, and often the SuRF-UK indicator categories are further refined to allow to address case-specific issues.There is an increasing attention for 'gentle' or 'green' remediation options, and a growing number a remediation case studies also put emphasis on recourse recovery and circular economy.Stakeholder involvement is considered, in the development of the tools and as part of the sustainability assessment itself.It can be concluded that considerable progress has been made over the past five years regarding the application of the principles of 'sustainable remediation', at least in remediation projects that are described in literature, and where sustainability evaluation is an explicit goal.However, a number of aspects are still only rarely addressed.Among these, green/sustainable finance in relation to remediation projects, and sustainable remediation in developing countries are topics that need more attention in the near future.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».