3D laser modelling of the Onkalo geological repository

Finland is constructing an underground rock characterisation facility, known as Onkalo at Olkiluoto, Eurajoki. This is the initial phase towards the first geological repository for final disposal of spent nuclear fuel. Underground construction work started in 2004. In July 2007, the length of the access tunnel was 2194m, reaching a depth of 207m. Geological repositories introduce major technical challenges for nuclear safeguards. Both the IAEA and DG-TREN are looking into new methodologies and technologies to assist them in future Safeguards. Within the framework of collaboration between the JRC, European Commission's Research Centre and STUK, Finnish Radiation and Nuclear Safety Authority, it was decided to make a field trial of JRC's 3D Reconstruction and Verification laser technologies to accurately model the Onkalo tunnel. The exercise aimed at sharing information and practices concerning measurement equipment and methodologies including data processing and visualisation software. The 3D model documentation provides an accurate 3D verification of the underground facility. The documentation can be relevant to detect future changes indicating the presence of undeclared rock spaces. The paper presents the details from this field modelling exercise. The exercise showed that (a) 3D laser technologies can be easily deployed to create accurate models of sites "as-is" and (b) it is possible to perform design verification of large underground facilities.JRC.G.8-Nuclear safeguard

Monitoring suspended solids and total phosphorus in Finnish rivers

Abstract Monitoring of water quality should not be solely based on laboratory samples. Such activity, although producing reliable results, cannot provide an accurate enough temporal coverage for water quality monitoring. The Finnish Environment Institute, SYKE, has therefore established numerous online water monitoring stations that continuously monitor water quality. The problem with the automatic monitoring, however, is that the recorded values are not reliable as such and need to be subject to quality control and uncertainty estimation. Here, as the main contribution, we present a computational service that we have implemented to automate and integrate the water quality monitoring process. We also present a case study regarding the river Väänteenjoki and discuss the obtained uncertainty results and their implication

Norm Optimal Cross-Coupled Iterative Learning Control

Abstract-In this paper, we focus on improving contour tracking in precision motion control (PMC