TRIM4Post-Mining: Transition Information Modelling for attractive Post-Mining Landscapes – A Conceptual Framework
Zusammenfassung
TRIM4Post-Mining brings together a consortium of European experts from industry and academia to develop an integrated information modelling system. This is designed to support decision-making and planning during the transition from coal exploitation to a revitalized postmining landscape enabling infrastructure development for agricultural and industrial utilization and contributing to recover energy and materials from coal mining dumps. The smart system will be founded up on a high-resolution spatiotemporal database utilizing state-of-the-art multi-scale and multi-sensor monitoring technologies that characterize dynamical processes in coal waste dumps related to timely dependent deformation and geochemical processes. It will develop efficient methods for comprehensive spatiotemporal data analytics, feature extraction, and predictive modelling that allow for the identification of potential contamination areas and forecasting the waste dump dynamics. For the interactive exploration of alternative land-use planning scenarios in terms of residual risks, technical feasibility, environmental and social impact, and also affordability, up-to-date data and models will be embedded in an interactive planning system based on Virtual Reality and Augmented Reality technology forming a TRIM – Transition Information Modelling System.
- Vollständige Referenz
- BibTeX
Benndorf, J., Restrepo, D. A., Merkel, N., Knobloch, A., Kressner, M., Guatame-Garcia, A., Nolte, H., Möllerherm, S. & Dalm, M.,
(2021).
TRIM4Post-Mining: Transition Information Modelling for attractive Post-Mining Landscapes – A Conceptual Framework.
In:
, .
(Hrsg.),
INFORMATIK 2021.
Gesellschaft für Informatik, Bonn.
(S. 705-708).
DOI: 10.18420/informatik2021-058
@inproceedings{mci/Benndorf2021,
author = {Benndorf, Jörg AND Restrepo, Diego Alejandro AND Merkel, Natalie AND Knobloch, Andreas AND Kressner, Martin AND Guatame-Garcia, Adriana AND Nolte, Harm AND Möllerherm, Stefan AND Dalm, Marinus},
title = {TRIM4Post-Mining: Transition Information Modelling for attractive Post-Mining Landscapes – A Conceptual Framework},
booktitle = {INFORMATIK 2021},
year = {2021},
editor = {} ,
pages = { 705-708 } ,
doi = { 10.18420/informatik2021-058 },
publisher = {Gesellschaft für Informatik, Bonn},
address = {}
}
author = {Benndorf, Jörg AND Restrepo, Diego Alejandro AND Merkel, Natalie AND Knobloch, Andreas AND Kressner, Martin AND Guatame-Garcia, Adriana AND Nolte, Harm AND Möllerherm, Stefan AND Dalm, Marinus},
title = {TRIM4Post-Mining: Transition Information Modelling for attractive Post-Mining Landscapes – A Conceptual Framework},
booktitle = {INFORMATIK 2021},
year = {2021},
editor = {} ,
pages = { 705-708 } ,
doi = { 10.18420/informatik2021-058 },
publisher = {Gesellschaft für Informatik, Bonn},
address = {}
}
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Mehr Information
ISBN: 978-3-88579-708-1
ISSN: 1617-5468
Datum: 2021
Sprache:
(en)
(en)
