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Evolution of RMA in Slovenia
Primož Petek, Tjaša Baloh, Vanda Baloh, 2024, samostojni znanstveni sestavek ali poglavje v monografski publikaciji

Povzetek: This chapter outlines the research management and administration (RMA) as a profession and work field in Slovenia. Thus, we present an overview of the Slovenian research system, describing how this system has evolved over time. In addition, we explain the emerging need for RMA skills, including its self-organisation component and the challenges that lie ahead. A section is dedicated to Slovenian RMA demographics using RAAAP-2 and RAAAP-3 surveys. The conclusions of the chapter focus on a forecast for the future of RMA in Slovenia and several possible paths to follow for its community.
Ključne besede: Slovenia, research management and administration, professionalisation, KOsRIS II, RAAAP, research ecosystem
Objavljeno v DiRROS: 30.04.2024; Ogledov: 174; Prenosov: 70
.pdf Celotno besedilo (734,17 KB)
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Contaminant trends in urban groundwater: case study from Ljubljana (central Slovenia)
Janja Svetina, Joerg Prestor, Brigita Jamnik, Primož Auersperger, Mihael Brenčič, 2024, izvirni znanstveni članek

Povzetek: Urban areas can significantly alter the quality status of aquifers if appropriate strategies to prevent and detect groundwater contamination are not implemented in time. The prevention of groundwater contamination should be a priority due to its potential long-term impact on the environment and the high cost of remediation. For effective and sustainable groundwater management, it is crucial to proactively monitor a wide range of compounds to prevent their spread, progression and increasing concentrations. This study is one of the few to analyse the trends of various urban groundwater contaminants (nitrate, sulphate, hexavalent chromium, pesticides, PCE and TCE) from a groundwater management perspective. Characteristic trends are assessed using linear regression and the Mann–Kendall method, while significant changes in trends are determined using the Darken and Pettitt tests. The time span of the analysed trends covers the transition period before and after the implementation of the Water Framework Directive (2000/60/EC) and the Groundwater Directive (2000/60/EC). This study confirms the effectiveness of enforcement measures to protect groundwater quality, as evidenced by several statistically significant decreasing trends. On the other hand, this study emphasises the importance of intervention-targeted sampling campaigns and the reporting of raw analytical values according to the ISO 11843 series of standards. This approach is essential to detect upward trends in emerging contaminants at an early stage and prevent them from reaching levels that could negatively impact the economy or even jeopardise the safety of drinking water supplies.
Ključne besede: groundwater contamination, contaminant trends, groundwater management, urban aquifer, Ljubljansko polje
Objavljeno v DiRROS: 25.03.2024; Ogledov: 173; Prenosov: 49
.pdf Celotno besedilo (7,36 MB)

Real-time monitoring and analyses of sensory data integrated into the bim platform
Stanislav Lenart, Veljko Janjić, Uros Jovanovic, Rok Vezočnik, 2021, objavljeni znanstveni prispevek na konferenci

Povzetek: Bridges and tunnels, crucial elements of the railway infrastructure, are exposed to various types of deterioration processes. Their condition is a subject of monitoring, as it is important to collect as much as possible information in every life cycle phase to reliably predict their future performance. An enormous quantity of monitoring data is generated during the whole life cycle of these assets. EU funded Shift2Rail research project Assets4Rail which is focusing on measuring, monitoring, and data handling for railway assets, as data management is as important as their generation. This paper presents the major outcomes of the Assets4Rail project and its application to infrastructure projects.
Ključne besede: monitoring, information management, BIM, information management, bridge, tunnel, Assets4Rail
Objavljeno v DiRROS: 23.02.2024; Ogledov: 218; Prenosov: 128
.pdf Celotno besedilo (553,89 KB)
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Transnational strategy on the sustainable management and responsible use of non-native trees in the Alpine Space
Katharina Lapin, Anja M. Bindewald, Giuseppe Brundu, Aleksander Marinšek, Debojyoti Chakraborty, Janine Oettel, Janine Oettel, Konrad Heino, Nicola La Porta, Ajša Alagić, 2023, pregledni znanstveni članek

Povzetek: Non-native tree species – defined as those species intentionally or unintentionally introduced by humans – have long been a part of the Alpine Space, providing numerous benefits, but also posing a potential threat to native biodiversity and related ecosystem services. Compared to the urban space where non-native trees comprise most tree species, the number of non-native trees in forests and plantations is relatively low. To evaluate potential risks and benefits of non-native trees in the Alpine Space, a transnational strategy for the responsible use and management of non-native trees is needed. The goals of the strategy are to tailor management practices for a sustainable and responsible use or admixture of non-native trees, to reduce the risks connected with the invasive potential of some non-native tree species, to help forests and urban areas to adapt to climate change, and to improve coordination and cooperation regarding best practices between different regions of the Alpine Space. A proposal was developed in a four-step process including expert-based assessment, stakeholder mapping, an extensive data review, and a public consultation. For implementing the strategy fully, strong collaboration among diverse stakeholders is anticipated and robust governance and an adequate long-term and fair funding scheme is needed.
Ključne besede: adaptive forest management, non-native tree species, Alpine Space, biosecurity, green infrastructure
Objavljeno v DiRROS: 19.01.2024; Ogledov: 265; Prenosov: 143
.pdf Celotno besedilo (1,98 MB)
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Effects of governmental data governance on urban fire risk : a city-wide analysis in China
Zhao-Ge Liu, Xiang-Yang Li, Grunde Jomaas, 2022, izvirni znanstveni članek

Povzetek: The effects of data governance (as a means to maximize big data value creation in fire risk management) performance on fire risk was analyzed based on multi-source statistical data of 105 cities in China from 2016 to 2018. Specifically, data governance was first quantified with ten detailed indicators, which were then selected for explaining urban fire risk through correlation analysis. Next, the sample cities were clustered in terms of major socio-economic characteristics, and then the effects of data governance were examined by constructing multivariate regression models for each city cluster with ordinary least squares (OLS). The results showed that the constructed regression models produced good interpretation of fire risk in different types of cities, with coefficient of determination (R2) in each model exceeding 0.65. Among the indicators, the development of infrastructures (e.g. data collection devices and data analysis platforms), the level of data use, and the updating of fire risk related data were proved to produce significant effects on the reduction of fire frequency and fire consequence. Moreover, the organizational maturity of data governance was proved to be helpful in reducing fire frequency. For the cities with large population, the cross-department sharing of high-value data was found to be another important determinant of urban fire frequency. In comparison with existing statistical models which interpreted fire risk with general social factors (with the highest R2 = 0.60), these new regression models presented a better statistical performance (with the average R2 = 0.72). These findings are expected to provide decision support for the local governments of China and other jurisdictions to facilitate big data projects in improving fire risk management.
Ključne besede: urban fire risk, fire risk management, big data technologies, data governance, socio-economic factors, city-wide analysis
Objavljeno v DiRROS: 09.01.2024; Ogledov: 217; Prenosov: 45
.pdf Celotno besedilo (1,20 MB)
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Enhancing circular business model implementation in pulp and paper industry (PPI) : a phase-based implementation guide to waste valorisation strategiesa
Amaia Sopelana, Asier Oleaga, Juan José Cepriá, Karmen Fifer Bizjak, Helena Paiva, Francisco-Javier Rios-Davila, Adriana H. Martinez, Antonio Cañas, 2023, izvirni znanstveni članek

Povzetek: Innovation in the circular economy (CE) and the deployment of effective circular business models (CBM) have attracted significant attention in times of growing natural resource scarcity. Despite this widespread interest, significant challenges remain between theoretical innovations and effective CBM implementation in any industrial sector where companies pursue cost-saving opportunities through waste valorisation strategies. Since current methods mislead in terms of the real limitations to designing feasible novel products and services under a circular economy, this study proposes exploring determinants underpinning the organisational resilience of CBMs under a resource efficiency strategy through three case studies. As a result of a co-creation process, the implementation of a CBM framework was built upon empirical data and, thence, a phase-based implementation guide was laid out to assist companies in designing and implementing innovative CBM dealing with the complexity of innovative waste valorisation strategies between the PPI and construction sectors. Relevant findings on managerial and policy recommendations encountered along the demo stage are provided in this paper favouring an effective implementation of CE strategies: the role of technological and non-technological aspects within the CBM, the perspective of the ecosystem and its value proposition, and specific guidelines for the different phases of CBM life cycle.
Ključne besede: circular business models (CBMs), resource recovery, waste valorisation, strategic management, pulp and paper industry (PPI), construction sector
Objavljeno v DiRROS: 13.12.2023; Ogledov: 244; Prenosov: 106
.pdf Celotno besedilo (1,06 MB)
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Vasja Leban, Anže Japelj, Lidija Zadnik Stirn, Špela Pezdevšek Malovrh, 2023, predgovor, uvodnik, spremna beseda

Ključne besede: forest management, economics, conferences, preface
Objavljeno v DiRROS: 14.11.2023; Ogledov: 556; Prenosov: 162
.pdf Celotno besedilo (90,49 KB)

The LANDSUPPORT geospatial decision support system (S-DSS) vision : operational tools to implement sustainability policies in land planning and management
Fabio Terribile, Marco Acutis, Antonella Agrillo, Erlisiana Anzalone, Sayed Azam-Ali, Marialaura Bancheri, Peter Baumann, Barbara Birli, Antonello Bonfante, Marco Botta, Mitja Ferlan, Jernej Jevšenak, Primož Simončič, Mitja Skudnik, 2023, izvirni znanstveni članek

Povzetek: Nowadays, there is contrasting evidence between the ongoing continuing and widespread environmental degradation and the many means to implement environmental sustainability actions starting from good policies (e.g. EU New Green Deal, CAP), powerful technologies (e.g. new satellites, drones, IoT sensors), large databases and large stakeholder engagement (e.g. EIP-AGRI, living labs). Here, we argue that to tackle the above contrasting issues dealing with land degradation, it is very much required to develop and use friendly and freely available web-based operational tools to support both the implementation of environmental and agriculture policies and enable to take positive environmental sustainability actions by all stakeholders. Our solution is the S-DSS LANDSUPPORT platform, consisting of a free web-based smart Geospatial CyberInfrastructure containing 15 macro-tools (and more than 100 elementary tools), co-designed with different types of stakeholders and their different needs, dealing with sustainability in agriculture, forestry and spatial planning. LANDSUPPORT condenses many features into one system, the main ones of which were (i) Web-GIS facilities, connection with (ii) satellite data, (iii) Earth Critical Zone data and (iv) climate datasets including climate change and weather forecast data, (v) data cube technology enabling us to read/write when dealing with very large datasets (e.g. daily climatic data obtained in real time for any region in Europe), (vi) a large set of static and dynamic modelling engines (e.g. crop growth, water balance, rural integrity, etc.) allowing uncertainty analysis and what if modelling and (vii) HPC (both CPU and GPU) to run simulation modelling ‘on-the-fly’ in real time. Two case studies (a third case is reported in the Supplementary materials), with their results and stats, covering different regions and spatial extents and using three distinct operational tools all connected to lower land degradation processes (Crop growth, Machine Learning Forest Simulator and GeOC), are featured in this paper to highlight the platform's functioning. Landsupport is used by a large community of stakeholders and will remain operational, open and free long after the project ends. This position is rooted in the evidence showing that we need to leave these tools as open as possible and engage as much as possible with a large community of users to protect soils and land.
Ključne besede: land degradation, land management, soil, spatial decision support system, sustainability
Objavljeno v DiRROS: 13.11.2023; Ogledov: 420; Prenosov: 188
.pdf Celotno besedilo (4,42 MB)
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The importance of forest owners’ understanding of European forest-related policies for their successful implementation
Kaja Plevnik, Anže Japelj, 2023, objavljeni povzetek znanstvenega prispevka na konferenci

Ključne besede: forest owners, opinions, ecosystem services, forest management, bioeconomy
Objavljeno v DiRROS: 06.10.2023; Ogledov: 474; Prenosov: 144
.pdf Celotno besedilo (71,71 KB)

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