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1.
Changes in emissions of NOx and PM2.5 as a result of the implementation of measures in sectors close to the population : energy efficiency in residential buildings, and passenger cars substitution
Ana R. Gamarra, Marta G. Vivanco, Mark R. Theobald, Coralina Hernández, Yolanda Lechón, 2025, izvirni znanstveni članek

Opis: This paper examines different strategies for reducing air pollution through measures implemented in key sectors. Current environmental and energy policies at the European and Spanish levels are focused on increasing energy efficiency and the penetration of renewable energy sources. In this study, changes in emissions of two major pollutants affecting human health — nitrogen oxides (NOx) and fine particulate matter (PM2.5) — are quantified as a result of implementing a set of planned measures, considering Spain’s 2030 policy targets and using 2021 as the reference year. The measures target sectors that are directly connected to the population: residential buildings and passenger cars. The results indicate that the greatest benefits in terms of emission reductions are achieved through the replacement of combustion-based passenger road transport with electric vehicles, as well as through improvements to building envelopes, particularly once the electricity mix reaches the 2030 renewable energy penetration target.
Ključne besede: air quality, emissions, mitigation measures, atmospheric pollutants
Objavljeno v DKUM: 28.10.2025; Ogledov: 0; Prenosov: 2
.pdf Celotno besedilo (543,21 KB)
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2.
Micro-location temperature prediction leveraging deep learning approaches
Amadej Krepek, Iztok Fister, Iztok Fister, 2025, izvirni znanstveni članek

Opis: Nowadays, technological progress has promoted the integration of artificial intelligence into modern human lives rapidly. On the other hand, extreme weather events in recent years have started to influence human well-being. As a result, these events have been addressed by artificial intelligence methods more and more frequently. In line with this, the paper focuses on searching for predicting the air temperature in a particular Slovenian micro-location by using a weather prediction model Maximus based on a longshort term memory neural network learned by the long-term, lower-resolution dataset CERRA. During this huge experimental study, the Maximus prediction model was tested with the ICON-D2 general-purpose weather prediction model and validated with real data from the mobile weather station positioned at a specific micro-location. The weather station employs Internet of Things sensors for measuring temperature, humidity, wind speed and direction, and rain, while it is powered by solar cells. The results of comparing the Maximus proposed prediction model for predicting the air temperature in micro-locations with the general-purpose weather prediction model ICON-D2 has encouraged the authors to continue searching for an air temperature prediction model at the micro-location in the future.
Ključne besede: long short-term memory neural networks, air temperature, micro-location, prediction, weather, Internet of Things
Objavljeno v DKUM: 25.09.2025; Ogledov: 0; Prenosov: 10
.pdf Celotno besedilo (8,81 MB)

3.
Evaluating middle-distance passenger transportation : a comparison of the time efficiency, sustainability, and break-even distances between high-speed-rail and air travel in Sweden
Martin Fale, Tomaž Kramberger, Bojan Rupnik, Shen Lixin, Tea Vizinger, 2025, izvirni znanstveni članek

Opis: Debate regarding the use of airplanes or high-speed trains in middle-distance passenger transportation has evolved into a strong field of research. With the aim to mitigate the environmental footprint of air travel, the European Union’s initiatives are focused on redirecting passengers from airplanes to high-speed trains. This shift is hampered by significant variations in train accessibility across Europe. Using Sweden as an example, we tested the break-even distance and evaluated the findings from both a time-efficiency perspective and a sustainability perspective. Airplanes hold the upper hand on high-speed trains in middle-distance passenger transportation from the time perspective. This perspective provides us with a clear answer, but if we consider the sustainability perspective, it may affect the results. The results indicate that the presented proof of concept makes sense and can be easily adapted to any decision-making process regarding the choice of the preferable transportation mode, although the procedure is extremely time consuming. For policymakers, this proof of concept can represent a priceless tool because the resulting figures carry valuable information about (under)developed and (less-)integrated transportation modes in commuting and transportation systems.
Ključne besede: time efficiency, sustainability, breakeven distance, high-speed-rail (HSR) travel, air travel
Objavljeno v DKUM: 01.07.2025; Ogledov: 0; Prenosov: 3
.pdf Celotno besedilo (2,04 MB)
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4.
Spatiotemporal analysis and physicochemical profiling of ▫$PM_10$▫ and ▫$PM_2.5$ ▫ in Slovenia
Maja Ivanovski, Ivan Anžel, Darko Goričanec, Danijela Urbancl, 2025, izvirni znanstveni članek

Opis: Particulate matter (PM10 and PM2.5) is a key contributor to urban air pollution and poses significant health risks, particularly in densely populated areas. While conventional air quality monitoring focuses on particle size and concentration, this study emphasizes the importance of understanding chemical composition and emission sources for effective air pollution management. PM samples were collected between 2019 and 2022 at two locations in the Republic of Slovenia: a traffic-dominated urban site and an industrial area. Annual average PM10 concentrations ranged from 14 to 34 μg/m3, and those of PM2.5 ranged from 9 to 22 μg/m3. In addition to decreasing annual concentrations, a notable reduction in exceedance days was observed between 2019 and 2022, indicating the effectiveness of recent air quality improvement measures. Meteorological data and statistical models were used to assess environmental influences on PM variability. Advanced SEM-EDS analysis revealed substantial seasonal and spatial differences in particle composition, with key elements such as silicon (4.3–28.4%), carbon (13.1–61.7%), and trace amounts of lead and zinc varying across sites and particle types. Mineral dust (Si, Al, Ca, Fe, Mg), originating from soil resuspension, construction, and Saharan dust, was dominant. Combustion-related particles containing C, Pb, Zn, and Fe oxides were associated with vehicle emissions, industrial processes, and biomass burning. Secondary aerosols, such as sulphates and nitrates, showed seasonal trends, with higher concentrations in summer and winter, respectively. The results confirm that PM levels are driven by complex interactions between local emissions, weather conditions, and seasonal dynamics. The study supports targeted policy measures, particularly regarding residential heating and traffic emissions, to improve air quality.
Ključne besede: air pollution, air quality, PM particles, SEM-EDS, Slovenia
Objavljeno v DKUM: 30.05.2025; Ogledov: 0; Prenosov: 5
.pdf Celotno besedilo (4,02 MB)

5.
The analysis of nostalgia in George Orwell’s novel Coming up for air from the perspective of discourse and philosophy : master's thesis
Gaber Bobek, 2025, magistrsko delo

Opis: The thesis explores the theme of nostalgia in George Orwell’s novel Coming Up for Air from various analytical perspectives. The research is made possible by the novel’s detailed story, which captures the tensions between the individual and a rapidly modernising world in pre-World War II Britain. The work is structured into three main sections. First, the theoretical framework provides an overview of different definitions and interpretations of nostalgia from literature, history, and cultural studies. Second, various philosophical perspectives examine the relationship between nostalgia, personal identity, and the individuals’ ways of approaching the memory. From the standpoint of existentialism and the self, the thesis investigates how the protagonist, George Bowling, experiences nostalgia as a mechanism for self-definition. The thesis argues that nostalgia distorts the temporal order, merging past and present into a seamless but fictional continuum. The political philosophy and modernity perspectives place the main character’s nostalgia within the broader socio-political status of 20th century Britain. Orwell employs nostalgia to critique the oppressive forces of industrialisation, totalitarian governance, and capitalist consumerism. Third, the linguistic analysis applies Systemic Functional Linguistics (SFL), using the discourse system framework developed by authors Martin and Rose (2007), to examine how Orwell’s language constructs the protagonist’s nostalgic experience. The analysis looks at how Orwell’s linguistic features show Bowling’s emotional attachment to the past and his disappointment with the present. Engagement is analysed to reveal how the protagonist’s reflections position the reader within his subjective perspective.
Ključne besede: Nostalgia, George Orwell, Coming Up for Air, Existentialism, Memory, Self-Identity, Political Philosophy, Systemic Functional Linguistics, Time, History.
Objavljeno v DKUM: 29.05.2025; Ogledov: 0; Prenosov: 35
.pdf Celotno besedilo (2,45 MB)

6.
How the volume of traffic affected air quality during the extreme event of COVID-19 lockdown in a small city
Branka Trček, Rok Kamnik, 2022, izvirni znanstveni članek

Opis: The extreme traffic measures during the COVID-19 lockdown provided a unique opportunity to gain better insight into the relationship between traffic characteris-tics and NO2 concentrations in Maribor, a small Slove-nian city. NO2, traffic and meteorological data were sta-tistically processed in detail for March and April 2018, 2019 and 2020 to get a historical insight and to exclude the specifics of the lockdown period. The extreme event resulted in an average reduction of road traffic of 42%. The decrease in the number of passenger cars ranged from 33.9 to 60.3% per day with the largest decrease on the motorway. Daily averages of heavy goods traffic de-clined on the motorway and the expressway by 24.6% and 7%, respectively. Traffic characteristics were reflect-ed in a 24–27% decrease in NO2 concentrations at the urban station. The change is smaller than the change in traffic volume, which could be explained by the change in the composition of the vehicle fleet due to the increase in NO2-dominant traffic sources, e.g. diesel heavy goods vehicles. The presented results are relevant for improv-ing air quality and sustainable mobility management in small cities. They highlight the important role of reor-ganisation of heavy goods traffic in urban logistics.
Ključne besede: road traffic, extreme event, COVID-19 lockdown, NO2 emissions, meteorological conditions, air pollution
Objavljeno v DKUM: 13.03.2025; Ogledov: 0; Prenosov: 1
.pdf Celotno besedilo (4,07 MB)
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7.
The role of environmental PM2.5 in admission acute heart failure in ST-elevation myocardial infarction patients : an observational retrospective study
Andreja Sinkovič, Andrej Markota, Manja Kraševec, David Šuran, Martin Marinšek, 2021, izvirni znanstveni članek

Opis: Background: Air pollution with increased concentrations of fine (< 2.5 μm) particulate matter (PM2.5) increases the risk of cardiovascular morbidity and mortality. Even short-term increase of PM2.5 may help trigger ST-elevation myocardial infarction (STEMI) and heart failure (HF) in susceptible individuals, even in areas with good air quality. Purpose: To evaluate the role of PM2.5 levels ≥ 20 μg/m3 in admission acute HF in STEMI patients. Materials and Methods: In 290 STEMI patients with the leading reperfusion strategy primary percutaneous coronary intervention (PPCI), we retrospectively studied independent predictors of admission acute HF and included admission demographic and clinical data as well as ambient PM2.5 levels ≥ 20 μg/m3. We defined admission acute HF in STEMI patients as classes II–IV by Killip Kimball classification. Results: Acute admission HF was observed in 34.5% of STEMI patients. PPCI was performed in 87.1% of acute admission HF patients and in 94.7% non-HF patients (p= 0.037). Significant independent predictors of acute admission HF were prior diabetes (OR 2.440, 95% CI 1.100 to 5.400, p=0.028), admission LBBB (OR 10.190, 95% CI 1.160 to 89.360, p=0.036), prior resuscitation (OR 2.530, 95% CI 1.010 to 6.340, p=0.048), admission troponin I≥ 5μg/l (OR 3.390, 95% CI 1.740 to 6.620, p< 0.001), admission eGFR levels (0.61, 95% CI 0.52 to 0.72, p < 0.001), and levels of PM2.5 ≥ 20 μg/m3 (OR 2.140, 95% CI 1.005 to 4.560, p=0.049) one day before admission. Conclusion: Temporary short-term increase in PM2.5 levels (≥ 20 μg/m3) one day prior to admission in an area with mainly good air quality was among significant independent predictors of acute admission HF in STEMI patients.
Ključne besede: admission acute heart failure, ST-elevation myocardial infarction, air pollution, PM2.5
Objavljeno v DKUM: 14.10.2024; Ogledov: 0; Prenosov: 3
.pdf Celotno besedilo (304,12 KB)
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8.
Control model for ground crew scheduling problem at small airports : case of Serbia
Lena Đorđević Milutinović, Dragana Makajić-Nikolić, Slobodan Antić, Marija Živić, Andrej Lisec, 2021, izvirni znanstveni članek

Opis: Present-day airline industry is quite a competitive field and crew scheduling represents one of the crucial problems due to significant impact on the airline's cost. The crew scheduling problem is based on the assignment of crew members to operate different tasks of route. The main goal of this paper is to provide an analysis and a solution to one of the biggest problems detected on a small airport in the Serbia - the problem of ground crew scheduling. The paper presents the main characteristics, goals and limitations of a real-life problem identified at this small airport. In order to solve the problem, we developed a dynamic discrete simulation model. The model is developed in a spreadsheet environment of Microsoft Excel. Some of the main limitations found in the development of the model are strong constraints and multiple goals. The model presented in the paper is designed as a useful management tool for smaller airports and is aimed at the improvement of operative processes.
Ključne besede: crew scheduling problem, modelling, air transport, small airport, management, spreadsheets
Objavljeno v DKUM: 01.10.2024; Ogledov: 0; Prenosov: 13
.pdf Celotno besedilo (1,01 MB)
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9.
Environmental attitude of drivers in Alimosho local government area, Lagos, Nigeria
Chinenye Lilian Okafor, Onipede Wusu, 2021, izvirni znanstveni članek

Opis: This study examined the environmental attitude of drivers towards vehicle emission. The survey design that employed a five point Likert scale questionnaire and administered to 402 respondents (drivers) generated the data analysed. Data analysis involved descriptive and regression statistical tools. The results suggest that there was significant association between respondents’ sex, occupation, education and their environmental attitudes. A greater percentage (87. 3%) of the respondents was slightly more likely to agree that emissions from cars and trucks have serious impact on air quality. Majority (57.5%) of the respondents who were civil servants appeared to possess positive (favourable) attitudes towards the influence of emissions on the environment. Logistic regression suggest that respondents’ sex, occupation, education and vehicle’s purpose, income, age and social group significantly predicted their environmental attitudes. The study concludes that most of the sample possessed positive (favourable) environmental attitude towards vehicle emissions. This suggests that the environmental attitude of drivers towards emissions is not responsible for poor air quality. The policy implications of the findings include the need for the adoption of the polluter-pay-principle to reduce the volume of vehicles on our road, the necessity of promoting mass public transportation (such as the BRT and LAGBUS) as a way of reducing vehicle emission. Finally, sensitization program through social groups and schools is imperative.
Ključne besede: air quality, environmental attitude, drivers, vehicle emissions
Objavljeno v DKUM: 23.08.2024; Ogledov: 56; Prenosov: 8
.pdf Celotno besedilo (1,23 MB)
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10.
Traffic density-related black carbon distribution : impact of wind in a basin town
Borut Jereb, Brigita Gajšek, Gregor Šipek, Špela Kovše, Matevž Obrecht, 2021, izvirni znanstveni članek

Opis: Black carbon is one of the riskiest particle matter pollutants that is harmful to human health. Although it has been increasingly investigated, factors that depend on black carbon distribution and concentration are still insufficiently researched. Variables, such as traffic density, wind speeds, and ground levels can lead to substantial variations of black carbon concentrations and potential exposure, which is even riskier for people living in less-airy sites. Therefore, this paper "fills the gaps" by studying black carbon distribution variations, concentrations, and oscillations, with special emphasis on traffic density and road segments, at multiple locations, in a small city located in a basin, with frequent temperature inversions and infrequent low wind speeds. As wind speed has a significant impact on black carbon concentration trends, it is critical to present how low wind speeds influence black carbon dispersion in a basin city, and how black carbon is dependent on traffic density. Our results revealed that when the wind reached speeds of 1 ms-1 , black carbon concentrations actually increased. In lengthy wind periods, when wind speeds reached 2 or 3 ms-1 , black carbon concentrations decreased during rush hour and in the time of severe winter biomass burning. By observing the results, it could be concluded that black carbon persists longer in higher altitudes than near ground level. Black carbon concentration oscillations were also seen as more pronounced on main roads with higher traffic density. The more the traffic decreases and becomes steady, the more black carbon concentrations oscillate.
Ključne besede: black carbon, black carbon concentration, traffic pollution, air pollution, wind, traffic density, logistics, basin city
Objavljeno v DKUM: 20.08.2024; Ogledov: 44; Prenosov: 10
.pdf Celotno besedilo (2,71 MB)
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