TY - JOUR AU - Kiss, Emőke AU - Mester, Tamás AU - Balla, Dániel TI - A klímaaggodalmak és környezetbarát viselkedés kapcsolatának és jellemzőinek feltárása Debrecenben JF - TERÜLETI STATISZTIKA J2 - TERÜLETI STATISZTIKA PY - 2024 SN - 0018-7828 UR - https://m2.mtmt.hu/api/publication/34801314 ID - 34801314 AB - A klímaváltozás kihívásainak és alkalmazkodási lehetőségeinek elemzésekor a klímaaggodalmak és a környezetbarát viselkedés kapcsolatának kérdésköre is gyakran felvetődik. A 2020-ban kitört COVID-19 világjárvány elterelte az emberek figyelmét a klímaváltozásról, így a lakosság klímaaggodalmainak feltárása nagyon fontossá vált ebben az időszakban. Kutatásunkban mintaterületként egy kelet-közép-európai várost, Magyarország második legnépesebb települését, Debrecent, Hajdú-Bihar vármegyeszékhelyét választottuk. Munkánk során kérdőíves felmérést végeztünk 2020-ban a lakosok körében (N=200). Tanulmányunk fő célja a klímaaggodalmak és a környezetbarát viselkedés kapcsolatának vizsgálata és feltárása volt. A klímaaggodalom, a környezetbarát viselkedés és a kiválasztott prediktorok közötti kapcsolat szorosságát, erősségét és intenzitását korrelációelemzéssel vizsgáltuk, a regresszióelemzés a kiválasztott változók hatását és kapcsolatát vizsgálta. Kimutattuk, hogy a lakosok Klímaaggodalom Indexe (KAI) és Környezetbarát Viselkedés Indexe (KVI) magas. Kutatásunkban a korrelációelemzés egyik legfontosabb eredménye, hogy a KAI és KVI között egyáltalán nem találtunk szignifikáns kapcsolatot, tehát a kettő nem függött össze mintánkban. Másik fontos eredményük, hogy a KVI és a Kockázatérzékelés Indexek (KI) között sem mutatható ki szignifikáns kapcsolat, ugyanakkor a KAI és a KI között szignifikánsan pozitív irányú, közepes erősségű kapcsolatot fedeztünk fel. A többváltozós lineáris regresszióelemzésekben a demográfiai faktorok csak enyhén mérsékelték a változók hatását a KAI-ra és KVI-re. Eredményeink alátámasztják azokat a tanulmányokat, amelyek szerint az egyének klímaaggodalma nem vezet következetesen környezetbarát magatartáshoz. LA - Hungarian DB - MTMT ER - TY - CONF AU - Bertalan, László AU - Négyesi, Gábor AU - Szabó, Gergely AU - Túri, Zoltán AU - Szabó, Szilárd TI - Evaluating the efficacy of multitemporal TLS and UAS surveys for quantifying wind erosion magnitudes of sand dune topography T2 - EGU General Assembly 2024 : abstracts PB - European Geosciences Union (EGU) C1 - Wien PY - 2024 UR - https://m2.mtmt.hu/api/publication/34799801 ID - 34799801 LA - English DB - MTMT ER - TY - JOUR AU - Koutecký, V. AU - Mysliveček, J. AU - Rapprich, V. AU - Laufek, F. AU - Benkó, Zsolt AU - Sakala, J. TI - First evidence of Pinaceae and Fagaceae in the fossil wood record of the České středohoří Mts. (Czech Republic): A comprehensive study of fossiliferous sites in pyroclastic rocks surrounding the late Oligocene Milá stratovolcano JF - REVIEW OF PALAEOBOTANY AND PALYNOLOGY J2 - REV PALAEOBOT PALYNO VL - 325 PY - 2024 SN - 0034-6667 DO - 10.1016/j.revpalbo.2024.105097 UR - https://m2.mtmt.hu/api/publication/34794412 ID - 34794412 N1 - Export Date: 17 April 2024 CODEN: RPPYA Correspondence Address: Koutecký, V.; Institute of Geology and Palaeontology, Albertov 6, Czech Republic; email: koudasml@post.cz LA - English DB - MTMT ER - TY - JOUR AU - Borowska-Stefańska, Marta AU - Goniewicz, Krzysztof AU - Grama, Vasile AU - Horňák, Marcel AU - Masierek, Edyta AU - Morar, Cezar AU - Pénzes, János AU - Rochovská, Alena AU - Turoboś, Filip AU - Wiśniewski, Szymon TI - Spatial mobility of the inhabitants of the countries of NATO’s eastern flank in the event of a military conflict JF - MORAVIAN GEOGRAPHICAL REPORTS J2 - MORAV GEOGR REP VL - 32 PY - 2024 IS - 1 SP - 51 EP - 65 PG - 15 SN - 1210-8812 DO - 10.2478/mgr-2024-0005 UR - https://m2.mtmt.hu/api/publication/34773007 ID - 34773007 AB - In this article, we identify the spatial mobility of the populations of selected urban centres in Poland, Romania, Slovakia and Hungary. In total, 1,616 interviews were conducted. Additionally also interviews with the employees responsible for crisis management were conducted. Based on the analyses, five different clusters were identified, with different patterns of inhabitants in terms of their spatial mobility in the event of war. The most significant factors influencing their mobility in crisis situations are country of residence, age, number of people in the household and sex. This research can help develop evacuation strategies at different levels of governance. LA - English DB - MTMT ER - TY - JOUR AU - Oravecz, Éva AU - Benkó, Zsolt AU - Arató, Róbert AU - Dunkl, István AU - Héja, G AU - Kövér, Szilvia AU - Németh, Tibor AU - Fodor, László TI - Age, Kinematic and Thermal Constraints of Syn‐Orogenic Low‐Temperature Deformation Events: Insights From Thermochronology and Structural Data of the Nekézseny Thrust (Alpine‐Carpathian‐Dinaric Area) JF - TECTONICS J2 - TECTONICS VL - 43 PY - 2024 IS - 4 PG - 28 SN - 0278-7407 DO - 10.1029/2023TC008189 UR - https://m2.mtmt.hu/api/publication/34764189 ID - 34764189 N1 - Department of Physical and Applied Geology, Institute of Geography and Earth Sciences, Eötvös Loránd University, Budapest, Hungary Institute of Nuclear Research of the Hungarian Academy of Sciences, Debrecen, Hungary Department of Mineralogy and Geology, Institute of Earth Sciences, University of Debrecen, Debrecen, Hungary Department of Sedimentology and Environmental Geology, Geoscience Center, University of Göttingen, Göttingen, Germany Supervisory Authority of Regulatory Affairs, Budapest, Hungary Hungarian Research Network, Institute of Earth Physics and Space Science, Sopron, Hungary Department of Geology and Meteorology, Institute of Geography and Earth Sciences, University of Pécs, Pécs, Hungary Export Date: 9 April 2024 Correspondence Address: Oravecz, É.; Department of Physical and Applied Geology, Hungary; email: orav.eva@gmail.com AB - Unraveling the age and kinematics of low temperature deformation events is crucial in understanding the late‐stage evolution of orogens. However, accurate age constraints can often be challenging to obtain due to unideal outcrop conditions, large sedimentary hiatuses or the lack of well‐defined thermal events. In this study, we show on the example of the Nekézseny Thrust, a poorly exposed late orogenic thrust in the southern Western Carpathians, that a combined approach of structural analysis and multi‐method thermochronology can provide the necessary temporal, kinematic and thermal constraints for a detailed reconstruction of the deformation history. While structural mapping revealed that the Late Cretaceous Uppony Gosau Basin in the footwall of the Nekézseny Thrust underwent a significant post‐Campanian and pre‐Miocene shortening, K/Ar dating of fault gouge samples from the main fault zone constrained the primary thrusting event to the Maastrichtian. Based on the acquired apatite fission‐track and (U‐Th)/He ages, subsequent heating of the Upper Cretaceous sediments due to tectonic burial was limited to 75–100°C, followed by deformation‐related and gradual cooling between the Eocene and Early Miocene. Considering the reconstructed deformation history, as well as the large‐scale tectonic affinity of the displaced units in its footwall and hanging wall, the Nekézseny Thrust is a far‐traveled (ca. 600 km) segment of the Late Cretaceous Alps‐Dinarides contact zone, whose development was linked to the switch from lower plate to upper plate position with respect to the Sava Zone and Alpine Tethys sutures, respectively. LA - English DB - MTMT ER - TY - JOUR AU - Sági, Tamás AU - Józsa, Sándor AU - Janka, Péter AU - Káposztás, Viktória AU - Oelberg-Pánczél, Emese AU - Szendrei, Zsolt AU - Szücs, Levente Csaba AU - Virág, Attila TI - Csiszolt kőeszközök nyersanyagtípusainak csoportosítása mágneses szuszceptibilitás, tömeg, térfogat, sűrűség és magasság alapján : Esettanulmány Bátaszék-Alsónyékről JF - ARCHEOMETRIAI MŰHELY J2 - ARCHEOMETRIAI MŰHELY VL - 21 PY - 2024 IS - 2 SP - 89 EP - 100 PG - 12 SN - 1786-271X DO - 10.55023/issn.1786-271X.2024-009 UR - https://m2.mtmt.hu/api/publication/34751077 ID - 34751077 AB - A csiszolt kőeszközök nyersanyagának pontos meghatározására az egyszerű makroszkópos kőzethatározástól kezdve a legkorszerűbb műszeres vizsgálatokig számos módszert alkalmaznak. A gyakran nagyszámú kőeszközből álló leletegyüttesek egyes nyersanyagtípusainak reprezentatív, nagyműszeres vizsgálatra szánt példányainak kiválasztása jelentős kihívás a geológusok számára. Jelen kutatás célja, hogy kísérletet tegyünk csiszolt kőeszközök nyersanyagtípusai közötti különbségek meghatározására egyszerűen mérhető jellemzőik (tömeg, térfogat, sűrűség, mágneses szuszceptibilitás és vastagság) standardizált főkomponens elemzése alapján. LA - Hungarian DB - MTMT ER - TY - JOUR AU - Phinzi, Kwanele AU - Szabó, Szilárd TI - Predictive machine learning for gully susceptibility modeling with geo-environmental covariates: main drivers, model performance, and computational efficiency JF - NATURAL HAZARDS J2 - NAT HAZARDS PY - 2024 SN - 0921-030X DO - 10.1007/s11069-024-06481-9 UR - https://m2.mtmt.hu/api/publication/34742919 ID - 34742919 AB - Currently, machine learning (ML) based gully susceptibility prediction is a rapidly expanding research area. However, when assessing the predictive performance of ML models, previous research frequently overlooked the critical component of computational efficiency in favor of accuracy. This study aimed to evaluate and compare the predictive performance of six commonly used algorithms in gully susceptibility modeling. Artificial neural networks (ANN), partial least squares, regularized discriminant analysis, random forest (RF), stochastic gradient boosting, and support vector machine (SVM) were applied. The comparison was conducted under three scenarios of input feature set sizes: small (six features), medium (twelve features), and large (sixteen features). Results indicated that SVM was the most efficient algorithm with a medium-sized feature set, outperforming other algorithms across all overall accuracy (OA) metrics (OA = 0.898, F 1-score = 0.897) and required a relatively short computation time (< 1 min). Conversely, ensemble-based algorithms, mainly RF, required a larger feature set to reach optimal accuracy and were computationally demanding, taking about 15 min to compute. ANN also showed sensitivity to the number of input features, but unlike RF, its accuracy consistently decreased with larger feature sets. Among geo-environmental covariates, NDVI, followed by elevation, TWI, population density, SPI, and LULC, were critical for gully susceptibility modeling. Therefore, using SVM and involving these covariates in gully susceptibility modeling in similar environmental settings is strongly suggested to ensure higher accuracy and minimal computation time. LA - English DB - MTMT ER - TY - JOUR AU - Szabó, Szilárd AU - Holb, Imre AU - Abriha-Molnár, Vanda Éva AU - Szatmári, Gábor AU - Singh, Sudhir Kumar AU - Abriha, Dávid TI - Classification Assessment Tool: A program to measure the uncertainty of classification models in terms of class-level metrics JF - APPLIED SOFT COMPUTING J2 - APPL SOFT COMPUT VL - 155 PY - 2024 PG - 15 SN - 1568-4946 DO - 10.1016/j.asoc.2024.111468 UR - https://m2.mtmt.hu/api/publication/34741333 ID - 34741333 AB - Accuracy assessments are important steps of classifications and get higher relevance with the soar of machine and deep learning techniques. We provided a method for quick model evaluations with several options: calculate the class level accuracy metrics for as many models and classes as needed; calculate model stability using random subsets of the testing data. The outputs are single calculations, summaries of the repetitions, and/or all accuracy results per repetitions. Using the application, we demonstrated the possibilities of the function and analyzed the accuracies of three experiments. We found that some popular metrics, the binary Overall Accuracy, Sensitivity, Precision, and Specificity, as well as ROC curve, can provide false results when the true negative cases dominate. F1-score, Intersection over Union and the Matthews correlation coefficient were reliable in all experiments. Medians and interquartile ranges (IQR) of the repeated sampling from the testing dataset showed that IQR were small when a model was almost perfect or completely unacceptable; thus, IQR reflected the model stability, reproducibility. We found that there were no general, statistically justified relationship with the median and IQR, furthermore, correlations of accuracy metrics varied by experiments, too. Accordingly, a multi-metric evaluation is suggested instead of a single metric. LA - English DB - MTMT ER - TY - JOUR AU - Román, Zsófia AU - Segesdi, Martin AU - Sebe, Krisztina AU - Földes, Tamás AU - Bakrač, Koraljka AU - Virág, Attila AU - Botfalvai, Gábor TI - Palaeontological and taphonomical investigations of the exceptionally rich concentration of Miocene vertebrate coprolites from Pécs-Danitzpuszta (Hungary, Mecsek Mts.) JF - HISTORICAL BIOLOGY J2 - HIST BIOL PY - 2024 PG - 16 SN - 0891-2963 DO - 10.1080/08912963.2024.2324435 UR - https://m2.mtmt.hu/api/publication/34728890 ID - 34728890 N1 - Institute of Geography and Earth Sciences, Department of Paleontology, Eötvös Loránd University (ELTE), Budapest, Hungary Department of Zoology, Hungarian Natural History Museum, Budapest, Hungary Department of Paleontology and Geology, Hungarian Natural History Museum, Budapest, Hungary HUN-REN-MTM-ELTE Research Group for Paleontology, Budapest, Hungary TOMOGEO Kft, Szolnok, Hungary Department of Geology, Croatian Geological Survey, Zagreb, Croatia Institute of Geography and Earth Sciences, Department of Petrology and Geochemistry, Eötvös Loránd University (ELTE), Budapest, Hungary Institute of Earth Sciences, Department of Mineralogy & Geology, University of Debrecen, Debrecen, Hungary Export Date: 18 March 2024 Correspondence Address: Román, Z.; Institute of Geography and Earth Sciences, Pázmány Péter sétány 1/c, Hungary; email: zsofia.m.roman@gmail.com AB - Thousands of coprolites have been collected from the Upper Miocene (Tortonian/Pannonian) sands of the Pécs-Danitzpuszta sand pit, one of the most important mixed Neogene vertebrate localities in Hungary. Although, the locality has been known for centuries, the coprolites have not been investigated in detail. We describe these fossils and explore their palaeoecological significance. Coprolites were examined with thin sections, X-ray powder diffraction and computed tomography. Their surface is mostly smooth, desiccation cracks were not observed. All coprolites mainly consist of apatite, indicating most probably a carnivorous diet. No evidence of herbivory has been found so far. The coprolites contain remains belonging to several groups: ostracod carapaces, bivalve shells, vertebrae from bony fishes, fish scales, as well as teeth. The CT scans show inhomogeneities in the matrix; however, in most cases they do not reliably indicate inclusions. The taphonomical features suggest rapid burial and most likely an aquatic origin. The spiral morphotype could be attributed to fishes with spiral intestinal valves. Teeth of reef-associated fish taxa indicate Badenian age for some specimens, though the coprolite assemblage might include older and younger specimens as well. LA - English DB - MTMT ER - TY - JOUR AU - Madi, Heba AU - Kozma, Gábor AU - Szabó, György Emőd TI - Green concrete materials selection for achieving circular economy in residential buildings using system dynamics JF - CLEANER MATERIALS J2 - CLEANER MATERIALS VL - 11 PY - 2024 PG - 19 SN - 2772-3976 DO - 10.1016/j.clema.2024.100221 UR - https://m2.mtmt.hu/api/publication/34657898 ID - 34657898 LA - English DB - MTMT ER -