Spatial Data Management and Numerical Modelling: Demonstrating the Application of the QGIS-Integrated FREEWAT Platform at 13 Case Studies for Tackling Groundwater Resource Management

Because of the spatial nature of groundwater-related data and their time component, effective groundwater management requires the application of methods pertaining to the Information and Communication Technologies sector, such as spatial data management and distributed numerical modelling. The objective of this paper is to demonstrate the effectiveness of the QGIS-integrated FREEWAT platform and an approach combining spatial data management and numerical models to target groundwater management issues. FREEWAT is a free and open source platform integrated in a Geographic Information System environment and embedding tools for pre- and post-processing of spatial data and integrating numerical codes for the simulation of the hydrological cycle, with a main focus on groundwater. To this aim, this paper briefly presents the FREEWAT platform, introduces the FREEWAT approach, and showcases 13 case studies in European and non-European countries where the FREEWAT platform was applied. Application of the FREEWAT platform to real-world case studies is presented for targeting management of coastal aquifers, ground- and surface-water interaction, climate change impacts, management of transboundary aquifers, rural water management and protection of groundwater-dependent ecosystems. In this sense, compared to other existing software suites, FREEWAT allows data analysis and visualization to accomplish each step of the modelling workflow, i.e., from data analytics, to conceptual model definition, to numerical modelling and reporting of results. The presented experiences demonstrate that improved access to data and the portability of models and models’ results can help to promote water sustainability from the local- to the basin-scale. Furthermore, FREEWAT may represent a valuable tool to target the objective of increasing the capabilities of public authorities and private companies to manage groundwater resources by means of up-to-date, robust, well-documented and reliable software, without entailing the need of costly licensing, nowadays seldom affordable by public water authorities. Based on the strengths highlighted, the FREEWAT platform is a powerful tool for groundwater resources management, and for data collection, sharing, implementation and comparison of scenarios, for supporting planning and decision-making

Predlog za obravnavo bolnika z astmo na primarni in pulmološki specialistični ravni v Sloveniji

Z dokumentom želimo smernice, ki jih predlaga GINA, vključiti v slovenski prostor. Želimo, da bi dokument služil enotnemu in dogovorjenemu pristopu k obravnavi bolnikov z astmo na primarni in specialistični pulmološki ravni

Slovenian test case Vrbanski Plato aquifer in the EU HORIZON 2020 FREEWAT project

The Slovenian case study in the EU HORIZON 2020 FREEWAT project was Vrbanski Plato aquifer. Slovenia is divided into two river basin districts: the Danube and the North Adriatic. The Vrbanski Plato aquifer, which he presents both natural and artificial bank filtration from the river Drava, is a part of the Danube river basin district and is the most important water source for 14 municipalities in the northeastern part of Slovenia. We investigated the groundwatersurface water interaction between river Drava and the porous aquifer in the geological old riverbed and possible reduction of city impact. This site is the oldest managed artificial groundwater recharge with riverbank filtration and has more than thirty years of successful operation. It is something special, very abundant in a small space, independent of drought and climate changes, but vulnerable due to the impact of the city. Under the city there is watershed dividing, which is shifting with different water management condition and we would like to have the least possible impact of the city. For optimal water management we decided to use FREEWAT plug-in within QGIS platform. With new developed FREEWAT plug-in in project FREEWAT, we made steady-state and transient groundwater model for presenting this shift of the watershed dividing under the city and optimal water management for this area. The model was designed in a way that it identifies and describes all major aspects of the physical hydrogeological system and water management. During the running of a project, there was an accident with heating oil spillage in city area, right on the watershed dividing. So we oriented with the transient groundwater model as well on heating oil spillage and pumping with additional wells at the place of the accident to present successful rehabilitation and the importance of the managed groundwater recharge. Our experience with FREEWAT platform during the Vrbanski Plato aquifer case study was very positive. The connection data of the GIS tool, open license and the database monitoring and model approaches functioned as the right tool for a professional approach and communicating with stakeholders. With groundwater models in FREEWAT platform, we defined optimal condition, with as less as possible the impact of groundwater below the city, for pumping water on the Vrbanski Plato, managed by Water Supply Maribor company and needed optimal level in river Drava managed by Drava Power Plants Company. Quantities of pumping for water supply and level of Drava River are the dominant components of water management in this area. Due to the time and financial constraints, we took into account the period from July 2014 to June 2017

Position on the follow-up of patients after a bout of COVID-19 pneumonia

Pljučnica je najpogostejši vzrok za težji potek okužbe z virusom SARS-CoV-2 in s hospitalizacijo. Potek covidne pljučnice je lahko različeninfiltrati, vidni na rentgenski sliki, se lahko resorbirajo spontano, včasih pa je potrebno zdravljenje s sistem-skimi glukokortikoidi. Ob odpustu iz bolnišnice zdravljenje običajno še ni končano, zato je Združenje pulmologov Slovenije v želji po enotnem obravnavanju bolnikov s covidno pljučnico izdelalo mnenje za obravnavo in sledenje bolnikov po od-pustu iz bolnišnice. Zavedamo se, da ob novi bolezni ne gre za dokončno priporočilo, saj bodo nova spoznanja o covidni pljučnici zanesljivo zahtevala obnavljanje priporočil.Pneumonia is the most common complication of SARS-CoV-2 infection. Covid 19 - pneumonia is a serious illness and can lead to respiratory failure. Pulmonary infiltrates often resorb spontaneouslyhowever, sometimes treatment with systemic glucocorticoids is required. Upon discharge from the hospital, treatment is usually not yet completed. The Slovenian Respiratory society made suggestions for the treatment and follow-up of patients with covid 19 pneumonia after discharge from hospital. We are aware that with new findings we will need to update these recommendations

Immunophenotypes of anti-SARS-CoV-2 responses associated with fatal COVID-19

Background The relationship between anti-SARS-CoV-2 humoral immune response, pathogenic inflammation, lymphocytes and fatal COVID-19 is poorly understood. Methods A longitudinal prospective cohort of hospitalised patients with COVID-19 (n=254) was followed up to 35 days after admission (median, 8 days). We measured early anti-SARS-CoV-2 S1 antibody IgG levels and dynamic (698 samples) of quantitative circulating T-, B- and natural killer lymphocyte subsets and serum interleukin-6 (IL-6) response. We used machine learning to identify patterns of the immune response and related these patterns to the primary outcome of 28-day mortality in analyses adjusted for clinical severity factors. Results Overall, 45 (18%) patients died within 28 days after hospitalisation. We identified six clusters representing discrete anti-SARS-CoV-2 immunophenotypes. Clusters differed considerably in COVID-19 survival. Two clusters, the anti-S1-IgGlowestTlowestBlowestNKmodIL-6mod, and the anti-S1-IgGhighTlowBmodNKmodIL-6highest had a high risk of fatal COVID-19 (HR 3.36–21.69; 95% CI 1.51–163.61 and HR 8.39–10.79; 95% CI 1.20–82.67; p≤0.03, respectively). The anti-S1-IgGhighestTlowestBmodNKmodIL-6mod and anti-S1-IgGlowThighestBhighestNKhighestIL-6low cluster were associated with moderate risk of mortality. In contrast, two clusters the anti-S1-IgGhighThighBmodNKmodIL-6low and anti-S1-IgGhighestThighestBhighNKhighIL-6lowest clusters were characterised by a very low risk of mortality. Conclusions By employing unsupervised machine learning we identified multiple anti-SARS-CoV-2 immune response clusters and observed major differences in COVID-19 mortality between these clusters. Two discrete immune pathways may lead to fatal COVID-19. One is driven by impaired or delayed antiviral humoral immunity, independently of hyper-inflammation, and the other may arise through excessive IL-6-mediated host inflammation response, independently of the protective humoral response. Those observations could be explored further for application in clinical practice