Harmonised Principles for Public Participation in Quality Assurance of Integrated Water Resources Modelling

The main purpose of public participation in integrated water resources modelling is to improve decision-making by ensuring that decisions are soundly based on shared knowledge, experience and scientific evidence. The present paper describes stakeholder involvement in the modelling process. The point of departure is the guidelines for quality assurance for `scientific` water resources modelling developed under the EU research project HarmoniQuA, which has developed a computer based Modelling Support Tool (MoST) to provide a user-friendly guidance and a quality assurance framework that aim for enhancing the credibility of river basin modelling. MoST prescribes interaction, which is a form of participation above consultation but below engagement of stakeholders and the public in the early phases of the modelling cycle and under review tasks throughout the process. MoST is a flexible tool which supports different types of users and facilitates interaction between modeller, manager and stakeholders. The perspective of using MoST for engagement of stakeholders e.g. higher level participation throughout the modelling process as part of integrated water resource management is evaluate

Kan rekrutteringsudfordringerne på velfærdsområderne håndteres?

Udfordringerne med at rekruttere og fastholde arbejdskraft på de store velfærdsområder er til at få øje på. I de kommende år kommer der fx flere små børn og mange flere ældre over 80 år. Samtidig bliver borgernes forventninger til den offentlige service bestemt ikke mindre, og regeringen holder sig ikke tilbage med krav om fx minimumsnormeringer. Men hvor skal arbejdskraften komme fra, hvor er udfordringerne egentligt størst, og hvordan kan vi håndtere udfordringerne i praksis? Det er nogle af de spørgsmål, som denne artikel kommer ind på

Uncertainty in geological and hydrogeological data

Uncertainty in conceptual model structure and in environmental data is of essential interest when dealing with uncertainty in water resources management. To make quantification of uncertainty possible is it necessary to identify and characterise the uncertainty in geological and hydrogeological data. This paper discusses a range of available techniques to describe the uncertainty related to geological model structure and scale of support. Literature examples on uncertainty in hydrogeological variables such as saturated hydraulic conductivity, specific yield, specific storage, effective porosity and dispersivity are given. Field data usually have a spatial and temporal scale of support that is different from the one on which numerical models for water resources management operate. Uncertainty in hydrogeological data variables is characterised and assessed within the methodological framework of the HarmoniRiB classification

Teaching In Student-Centred Active Learning Spaces: How Relational, Pedagogical, Spatial, And Technological Aspects Intertwine And Affect The Learning Environment

Higher educational institutions internationally have shown a growing interest in developing learning spaces that support student-centred learning approaches. For engineering education, this development aligns well with an increased emphasis on cross-disciplinarity and a system-thinking approach. However, research and our own experiences as teachers and evaluators of such learning spaces suggest that teachers who enter these learning spaces need support, as the complexity of the teaching situation becomes more apparent, compared to the traditional lecture hall. In this workshop, we will investigate this complexity together with the participants. Participants can expect to leave the workshop with a better understanding of: a conceptual framework that will assist the participants in navigating through the complexity of teaching in student-centred learning spaces. how to plan, implement and evaluate one’s own teaching in such learning spaces (Do’s and Dont’s). The take-home message from this workshop is an appreciation for how the relational, pedagogical, spatial, and technological aspects intertwine and affect the learning environment in spaces designed for student activity

Flow measurement at the aortic root:impact of location of through-plane phase contrast velocity mapping

BACKGROUND: Cardiovascular magnetic resonance (CMR) is considered the gold standard of cardiac volumetric measurements. Flow in the aortic root is often measured at the sinotubular junction, even though placing the slice just above valve level may be more precise. It is unknown how much flow measurements vary at different levels in the aortic root and which level corresponds best to left ventricle volumetry. METHODS: All patients were older than 70 years presenting with at least one of the following diagnoses: diabetes, hypertension, prior stroke and/or heart failure. Patients with arrhythmias during CMR and aortic stenosis were excluded from the analyses. Stroke volumes were measured volumetrically (SV(ref)) from steady-state free precision short axis images covering the entire left ventricle, excluding the papillary muscles and including the left ventricular outflow tract. Flow sequences (through-plane phase contrast velocity mapping) were obtained at valve level (SV(V)) and at the sinotubular junction (SV(ST)). Firstly, SV(V) and SV(ST) were compared to each other and secondly, after excluding patients with mitral regurgitations to ensure that stroke volumes measured volumetrically would theoretically be equal to flow measurements, SV(V) and SV(ST) were compared to SV(ref). RESULTS: Initially, 152 patients were included. 22 were excluded because of arrhythmias during scans and 9 were excluded for aortic stenosis. Accordingly, data from 121 patients were analysed and of these 63 had visually evident mitral regurgitation on cine images. On average, stroke volumes measured with flow at the sinotubular junction was 13–16 % lower than when measured at valve level (70.0 mL ±13.8 vs. 81.8 mL ±15.5). This was in excess of the expected difference caused by the outflow to the coronary arteries. In the 58 patients with no valvulopathy, stroke volumes measured at valve level (79.0 mL ±12.4) was closest to the volumetric measurement (85.4 mL ±12.0) but still significantly lower (p < 0.001). Flow measured at the ST-junction (68.1 mL ±11.6) was significantly lower than at valve level and the volumetric measurements. The mean difference between SV(ref)–SV(V) (6.4 mL) and SV(ref)-SV(ST) (18.2 mL) showed similar variances (SD 7.4 vs. 8.1 respectively) and hence equal accuracy. CONCLUSIONS: Aortic flow measured at valve level corresponded best with volumetric measurements and on average flow measured at the sinotubular junction underestimated flow approximately 15 % compared to valve level. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT02036450. Registered 08/01/2014