Real-time environmental monitoring for cloud-based hydrogeological modeling with hydrogeosphere

Andrei Lapin, Eryk Schiller, Peter G. Kropf, O. S. Schilling, Philip Andreas Brunner, Almerima J. Jamakovic-Kapic, Torsten Ingo Braun, Sergio Maffioletti

Research output: Contribution to conferencePaper

7 Citations (Scopus)

Abstract

This paper describes an architecture for real-time environmental modeling. It consists of a wireless mesh network equipped with sensors and a cloud-based infrastructure to perform real-time environmental simulations using a physics-based model combined with an Ensemble Kalman Filter. The purpose of the system is to optimize groundwater abstraction close to a river. These initial studies demonstrate that the cloud infrastructure can simultaneously compute a large number of simulations, thus allowing for the implementation of Ensemble Kalman Filters in real-time.

Conference

Conference16th IEEE International Conference on High Performance Computing and Communications, HPCC 2014, 11th IEEE International Conference on Embedded Software and Systems, ICESS 2014 and 6th Int Symposium on Cyberspace Safety and Security
Period20/08/14 → …

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  • Cite this

    Lapin, A., Schiller, E., Kropf, P. G., Schilling, O. S., Brunner, P. A., Jamakovic-Kapic, A. J., Braun, T. I., & Maffioletti, S. (2014). Real-time environmental monitoring for cloud-based hydrogeological modeling with hydrogeosphere. 959-965. Paper presented at 16th IEEE International Conference on High Performance Computing and Communications, HPCC 2014, 11th IEEE International Conference on Embedded Software and Systems, ICESS 2014 and 6th Int Symposium on Cyberspace Safety and Security, . https://doi.org/10.1109/HPCC.2014.154