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1.
Hidravlična analiza odseka reke Voglajne z računalniškim programom Aquaveo SMS (modul Tuflow)
Jernej Preložnik, 2021, diplomsko delo

Opis: Zaključno delo vsebuje hidrološko analizo odseka reke Voglajne s pomočjo računalniškega programa Aquaveo SMS (modul Tuflow). Obravnavan odsek reke se začne pri stacionaži km 10.4 + 45.31 (P86) in konča pri stacionaži km 11.1 + 17.51 (P98). V povprečju je reka globine 4 m in širine 10 m in skozi obravnavan odsek rahlo varira. Pred hidrološko analizo pa bo najprej opisano nekaj splošnega o hidrologiji ter predstavitev programa, s katerim bo izdelana hidrološka analiza. Za hidrološko analizo se je izvedla primerjava pridobljenih rezultatov z rezultati diplomskega dela z naslovom »Hidrološka analiza odseka reke Voglajne z računalniškim programom HEC-RAS« avtorja Cirila Obreze.
Ključne besede: poplave, obvladovanje tveganj, poplavne karte, rečna hidravlika
Objavljeno: 30.09.2021; Ogledov: 46; Prenosov: 5
.pdf Celotno besedilo (41,79 MB)

2.
Hidravlična analiza odseka reke Voglajne z računalniškim programom HEC-RAS
Ciril Obreza, 2021, diplomsko delo

Opis: Diplomsko delo obravnava 650 m dolg odsek reke Voglajne med Šentjurjem in Štorami. Z računalniškim programom HEC-RAS smo izdelali hidrološko hidravlično analizo omenjenega odseka. Med izdelavo diplomskega dela smo se srečali tudi z računalniškim programom Aquaveo SMS in ugotovili, da se zaradi različnega principa delovanja programov rezultati razlikujejo.
Ključne besede: poplave, obvladovanje tveganj, poplavne karte, rečna hidravlika
Objavljeno: 02.09.2021; Ogledov: 80; Prenosov: 29
.pdf Celotno besedilo (28,62 MB)

3.
Uporaba BIM-pristopa za vzdrževanje in upravljanje kanalizacijskega sistema
Bojana Mastnak, 2021, magistrsko delo

Opis: Cilj magistrske naloge je bil izdelati BIM-model za konkretni primer komunalne infrastrukture (kanalizacije) za potrebe lažjega vzdrževanja in upravljanja kanalizacijskega sistema, analizirati prednosti in slabosti proceduralnega modeliranja v kontekstu izdelave BIM-modela, analizirati uporabnost BIM-modela komunalne infrastrukture za različne namene uporabe (boljši pregled in hitrejše reševanje napak oz. sanacijo le-tega). V magistrski nalogi je prikazano, kako lahko BIM-pristop pripomore k boljšemu reševanju težav na terenu. Uporaba takšnega pristopa bi bila smiselna že v fazi projektiranja, saj tako izdelan model omogoča izpis različnih količin, boljšo preglednost in vrsto podatkov, ki jih potrebujemo za vzdrževanje objekta. Prvi del naloge zajema pripravo popisov in proučitev ustreznih programov za dosego želenega cilja. Drugi del naloge prikazuje izdelavo modela s programskim orodjem Grasshopper in Archicad, sledi prikaz uporabe izdelanega modela z aplikacijo Dalux. V zadnjem delu naloge pa so opisane vse prednosti in slabosti, ki smo jih spoznali tekom izdelave BIM-modela za namene boljšega vzdrževanja in upravljanja kanalizacijskega sistema. 
Ključne besede: gradbeništvo, Bim-model
Objavljeno: 02.06.2021; Ogledov: 185; Prenosov: 16
.pdf Celotno besedilo (5,57 MB)

4.
Analiza hidrantnega omrežja v občini Grad
Sara Sukič, 2021, diplomsko delo

Opis: Diplomsko delo obravnava analizo ustreznosti in zmogljivosti hidrantnega omrežja v občini Grad. V začetku diplomskega dela je opisano Javno podjetje Vodovod sistema B, d. o. o., poleg tega pa so predstavljene še zakonodaja v Republiki Sloveniji, požarna ogroženost naravnega okolja in oskrba s pitno vodo. V nadaljevanju sledi opis hidrantnih omrežij in primerjava slovenskih hidrantnih omrežij z omrežji v drugih državah. Merjene podatke s terena smo primerjali z izračunanimi količinami iz matematičnega modela. Analiza je izvedena z uporabo odprtokodne programske opreme EPANET za izdelavo hidravličnega modela in s pomočjo programa QGIS za izdelavo geografskih informacijskih sistemov (GIS). Prav tako je izvedena spletna anketa in predstavljena primerjava uporabnosti hidrantnega omrežja s strani gasilskih društev oz. profesionalnih enot.
Ključne besede: hidrantno omrežje, GIS, hidrant, vodovodni sistem
Objavljeno: 10.03.2021; Ogledov: 315; Prenosov: 85
.pdf Celotno besedilo (11,03 MB)

5.
Supplementary material for paper Early spread of COVID-19 in Romania: imported cases from Italy and human-to-human transmission networks
Marian-Gabriel Hâncean, Matjaž Perc, Jürgen Lerner, 2020, izvirni znanstveni članek

Opis: This individual-level dataset describes (a) the early spread of the novel coronavirus (COVID-19) and (b) the first human-to-human transmission networks, in Romania. Specifically, in the first set of data (a), we profile the first 147 cases referring to: whether an individual is an index case, place of residence, sex, age, probable citizenship, probable country and place of infection, arrival date to a Romanian county, COVID-19 confirmation date as well as the sources of information. Also, the second set of data (b) contains the first observed human-to-human COVID-19 transmission networks (attributes of the nodes and the direction of COVID-19 transmission, i.e. who infects whom). Networks embed 159 nodes and 203 transmission ties. Indirect identifiers are masked / de-identified.
Ključne besede: coronavirus, COVID-19, transmission networks, human mobility, migration, nosocomial infections
Objavljeno: 16.12.2020; Ogledov: 223; Prenosov: 39
.zip Raziskovalni podatki (82,26 KB)
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6.
Early spread of COVID-19 in Romania: imported cases from Italy and human-to-human transmission networks
Marian-Gabriel Hâncean, Matjaž Perc, Jürgen Lerner, 2020, izvirni znanstveni članek

Opis: We describe the early spread of the novel coronavirus (COVID-19) and the first human-to-human transmission networks, in Romania. We profiled the first 147 cases referring to sex, age, place of residence, probable country of infection, return day to Romania, COVID-19 confirmation date and the probable modes of COVID-19 transmissions. Also, we analysed human-to-human transmission networks and explored their structural features and time dynamics. In Romania, local cycles of transmission were preceded by imported cases, predominantly from Italy. We observed an average of 4.8 days (s.d. = 4.0) between the arrival to a Romanian county and COVID-19 confirmation. Furthermore, among the first 147 COVID-19 patients, 88 were imported cases (64 carriers from Italy), 54 were domestic cases, while for five cases the source of infection was unknown. The early human-to-human transmission networks illustrated a limited geographical dispersion, the presence of super-spreaders and the risk of COVID-19 nosocomial infections. COVID-19 occurred in Romania through case importation from Italy. The largest share of the Romanian diaspora is concentrated especially in the northern parts of Italy, heavily affected by COVID-19. Human mobility (including migration) accounts for the COVID-19 transmission and it should be given consideration while tailoring prevention measures.
Ključne besede: coronavirus, COVID-19, transmission networks, human mobility, migration, nosocomial infections
Objavljeno: 16.12.2020; Ogledov: 206; Prenosov: 65
.pdf Celotno besedilo (668,62 KB)
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7.
Supplementary material for paper City size and the spreading of COVID-19 in Brazil
Haroldo V. Ribeiro, Andre S. Sunahara, Jack Sutton, Matjaž Perc, Quentin S. Hanley, 2020, izvirni znanstveni članek

Opis: The current outbreak of the coronavirus disease 2019 (COVID-19) is an unprecedented example of how fast an infectious disease can spread around the globe (especially in urban areas) and the enormous impact it causes on public health and socio-economic activities. Despite the recent surge of investigations about different aspects of the COVID-19 pandemic, we still know little about the effects of city size on the propagation of this disease in urban areas. Here we investigate how the number of cases and deaths by COVID-19 scale with the population of Brazilian cities. Our results indicate small towns are proportionally more affected by COVID-19 during the initial spread of the disease, such that the cumulative numbers of cases and deaths per capita initially decrease with population size. However, during the long-term course of the pandemic, this urban advantage vanishes and large cities start to exhibit higher incidence of cases and deaths, such that every 1% rise in population is associated with a 0.14% increase in the number of fatalities per capita after about four months since the first two daily deaths. We argue that these patterns may be related to the existence of proportionally more health infrastructure in the largest cities and a lower proportion of older adults in large urban areas. We also find the initial growth rate of cases and deaths to be higher in large cities; however, these growth rates tend to decrease in large cities and to increase in small ones over time.
Ključne besede: COVID-19, coronavirus, scaling, city size, epidemic, prediction
Objavljeno: 19.11.2020; Ogledov: 312; Prenosov: 70
.pdf Raziskovalni podatki (6,89 MB)
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8.
All together to fight COVID-19
Sara Momtazmanesh, Hans D. Ochs, Lucina Q. Uddin, Matjaž Perc, John M. Routes, Duarte Nuno Vieira, Waleed Al-Herz, Safa Baris, Carolina Prando, Laszlo Rosivall, Amir Hamzah Abdul Latiff, Timo Ulrichs, Vasili Roudenok, Juan Carlos Aldave Becerra, Deepak B. Salunke, Ekaterini Goudouris, Antonio Condino-Neto, Anzhela Stashchak, Oleksandr Kryvenko, Mykola Stashchak, Anastasia Bondarenko, Nima Rezaei, 2020, polemika, diskusijski prispevek, komentar

Opis: Novel coronavirus disease (COVID-19), named a pandemic by the WHO, is the current global health crisis. National and international collaboration are indispensable for combating COVID-19 and other similar potential outbreaks. International efforts to tackle this complex problem have led to remarkable scientific advances. Yet, as a global society, we can and must take additional measures to fight this pandemic. Undoubtedly, our approach toward COVID-19 was not perfect, and testing has not been deployed fast enough to arrest the epidemic early on. It is critical that we revise our approaches to be more prepared for pandemics as a united body by promoting global cooperation and commitment.
Ključne besede: COVID-19, coronavirus, pandemic, disease dynamics, exponential growth, virality
Objavljeno: 12.11.2020; Ogledov: 269; Prenosov: 57
.pdf Celotno besedilo (59,27 KB)
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9.
City size and the spreading of COVID-19 in Brazil
Haroldo V. Ribeiro, Andre S. Sunahara, Jack Sutton, Matjaž Perc, Quentin S. Hanley, 2020, izvirni znanstveni članek

Opis: The current outbreak of the coronavirus disease 2019 (COVID-19) is an unprecedented example of how fast an infectious disease can spread around the globe (especially in urban areas) and the enormous impact it causes on public health and socio-economic activities. Despite the recent surge of investigations about different aspects of the COVID-19 pandemic, we still know little about the effects of city size on the propagation of this disease in urban areas. Here we investigate how the number of cases and deaths by COVID-19 scale with the population of Brazilian cities. Our results indicate small towns are proportionally more affected by COVID-19 during the initial spread of the disease, such that the cumulative numbers of cases and deaths per capita initially decrease with population size. However, during the long-term course of the pandemic, this urban advantage vanishes and large cities start to exhibit higher incidence of cases and deaths, such that every 1% rise in population is associated with a 0.14% increase in the number of fatalities per capita after about four months since the first two daily deaths. We argue that these patterns may be related to the existence of proportionally more health infrastructure in the largest cities and a lower proportion of older adults in large urban areas. We also find the initial growth rate of cases and deaths to be higher in large cities; however, these growth rates tend to decrease in large cities and to increase in small ones over time.
Ključne besede: COVID-19, coronavirus, scaling, city size, epidemic, prediction
Objavljeno: 12.11.2020; Ogledov: 249; Prenosov: 118
.pdf Celotno besedilo (1,23 MB)
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10.
Research data and software for paper Forecasting COVID-19
Matjaž Perc, Nina Gorišek Miksić, Mitja Slavinec, Andraž Stožer, 2020, izvirni znanstveni članek

Opis: The World Health Organization declared the coronavirus disease 2019 a pandemic on March 11th, pointing to the over 118,000 cases in over 110 countries and territories around the world at that time. At the time of writing this manuscript, the number of confirmed cases has been surging rapidly past the half-million mark, emphasizing the sustained risk of further global spread. Governments around the world are imposing various containment measures while the healthcare system is bracing itself for tsunamis of infected individuals that will seek treatment. It is therefore important to know what to expect in terms of the growth of the number of cases, and to understand what is needed to arrest the very worrying trends. To that effect, we here show forecasts obtained with a simple iteration method that needs only the daily values of confirmed cases as input. The method takes into account expected recoveries and deaths, and it determines maximally allowed daily growth rates that lead away from exponential increase toward stable and declining numbers. Forecasts show that daily growth rates should be kept at least below 5% if we wish to see plateaus any time soon - unfortunately far from reality in most countries to date. We provide an executable as well as the source code for a straightforward application of the method on data from other countries.
Ključne besede: COVID-19, pandemic, disease dynamics, exponential growth, virality
Objavljeno: 06.11.2020; Ogledov: 417; Prenosov: 135
.pdf Celotno besedilo (639,28 KB)
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