TY - JOUR AU - Szalai, Sándor AU - Szűcs, Péter AU - Lemperger, István AU - Zubair, M AU - Metwaly, M AU - Gribovszki, Katalin Eszter AU - Baracza, Mátyás Krisztián TI - Fracture system characterization by Pressure Probe JF - PERIODICA POLYTECHNICA-CIVIL ENGINEERING J2 - PERIOD POLYTECH CIV ENG VL - 68 PY - 2024 IS - 2 SP - 358 EP - 363 PG - 6 SN - 0553-6626 DO - 10.3311/PPci.19916 UR - https://m2.mtmt.hu/api/publication/34399693 ID - 34399693 AB - Pressure Probe (PreP) is in effect a simplified penetrometer: it measures the mechanical resistivity of the soil at shallow depths dropping the probe always from the same height. The resolution of this technique is very good. It is able to detect e.g., fractures due to their decreased mechanical resistance if they are covered, but in a shallow depth with a reasonable sampling distance. An example will be demonstrated where fracture system of a slowly-moving landslide was characterized enabling also its delineation. In spite of that its maximal penetration is only about 0.5 m it may also give information from remarkable depths in case if fractures reach close to the surface indicating the borders of geological structures in larger depth. An example from India will be shown to present such results. All results have been verified by geoelectric measurements. PreP may also indicate any kind of hidden holes indirectly. LA - English DB - MTMT ER - TY - GEN AU - Győri, Erzsébet AU - Czecze, Barbara AU - Timkó, Máté AU - Bondár, István AU - Czanik, Csenge AU - Czifra, Tibor AU - Fodor, Csilla AU - Gráczer, Zoltán AU - Gribovszki, Katalin Eszter AU - Gyarmati, Anett AU - Kalmár, Dániel AU - Marótiné Kiszely, Márta AU - Kovács, István János AU - Mónus, Péter AU - Süle, Bálint AU - Szanyi, Gyöngyvér AU - Tóth, László AU - Varga, Péter AU - Zsíros, Tibor AU - Wéber, Zoltán TI - Seismicity map of the Circum-Pannonian region (456–2020) (M>2) PY - 2023 SP - 297 DO - 10.23928/foldt.kozl.2023.153.4.mapA UR - https://m2.mtmt.hu/api/publication/34570407 ID - 34570407 LA - English DB - MTMT ER - TY - BOOK AU - Czanik, Csenge AU - Czecze, Barbara AU - Czifra, Tibor AU - Fodor, Csilla AU - Gribovszki, Katalin Eszter AU - Gyarmati, Anett AU - Győri, Erzsébet AU - Kalmár, Dániel AU - Marótiné Kiszely, Márta AU - Kovács, István János ED - Süle, Bálint AU - Timkó, Máté AU - Varga, Péter AU - Wéber, Zoltán TI - Hungarian National Seismological Bulletin 2022 T3 - Hungarian National Seismological Bulletin, ISSN 2063-8558 PB - ELKH FI Kövesligethy Radó Szeizmológiai Obszervatórium CY - Budapest PY - 2023 SP - 1147 UR - https://m2.mtmt.hu/api/publication/34542660 ID - 34542660 LA - English DB - MTMT ER - TY - JOUR AU - Győri, Erzsébet AU - Gribovszki, Katalin Eszter AU - Kovács, István János AU - Wéber, Zoltán TI - Földrengések Répcelak környékén – 2021. szeptember JF - EPICENTRUM - A KÖVESLIGETHY RADÓ SZEIZMOLÓGIAI OBSZERVATÓRIUM ÉVKÖNYVE J2 - EPICENTRUM VL - 2021 PY - 2023 SP - 37 EP - 43 PG - 7 SN - 2939-6085 UR - https://m2.mtmt.hu/api/publication/34216089 ID - 34216089 LA - Hungarian DB - MTMT ER - TY - CHAP AU - Gribovszki, Zoltán AU - Gribovszki, Katalin Eszter ED - Czimber, Kornél TI - UTÁNPÓTLÓDÁS ÉS A NAPI TALAJVÍZSZINTINGADOZÁS T2 - Az Erdőmérnöki Kar Tudományos Kiadványa PB - Soproni Egyetem Kiadó CY - Sopron SN - 9789633344965 PY - 2023 SP - 106 EP - 110 PG - 5 UR - https://m2.mtmt.hu/api/publication/34103098 ID - 34103098 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Marcin, Jaworski AU - Gribovszki, Katalin Eszter AU - Zbigniew, Zembaty AU - Piotr, Bonkowski AU - Piotr, Bobra TI - 3D finite element analysis of seismic response of a slender stalagmite JF - BULLETIN OF THE GEOLOGICAL SOCIETY OF GREECE J2 - BULL GEOL SOC GR VL - Spec. Publ. 11 PY - 2023 SP - 144 EP - 147 PG - 4 SN - 0438-9557 UR - https://m2.mtmt.hu/api/publication/34102866 ID - 34102866 LA - English DB - MTMT ER - TY - CONF AU - Czirok, Lili AU - Kuslits, Lukács AU - Gribovszki, Katalin Eszter AU - Bozsó, István TI - Testing a “fully – automated” clustering algorithm for stress inversions (CluStress) T2 - XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023) PY - 2023 SP - IUGG23-4514 DO - 10.57757/IUGG23-4514 UR - https://m2.mtmt.hu/api/publication/34102853 ID - 34102853 AB - The goal of this contribution is to present the “fully-automated” clustering algorithm developed by the authors. This is augmented by a case study where the authors carried out various cluster analyses of the focal mechanism solutions (FMS) estimated from local and teleseismic measurements and then performed stress inversions using the resulting clusters. This algorithm does not call for the setting of hyper-parameters by the users, thus greatly reducing the level of subjectivity introduced by user choice; the time required to finish the clustering can also be decreased. There is, however, an optional hyper-parameter which can be used for outlier detection, i.e. identify the data points considered to be noise in the input dataset, increasing the performance of the stress estimations. For probing the efficiency of their algorithm, systematic series of tests were executed on synthetic FMS data featuring clusters of various characteristics. During these tests, CluStress has been compared to other established clustering methods, namely, hierarchical density-based clustering for applications with noise (HDBSCAN) and agglomerative hierarchical analysis. Quantitative metrics, mainly the characteristic curves produced using the so-called silhouette-coefficient indicate that CluStress generates the most robust clusters for the stress inversions on synthetic data. A similar conclusion could be drawn from the same test performed using real FMS data of the investigated study area. As for this latter case, the resulting stress tensors show good agreement with the earlier published results with the notable exception of traces of extension, identified in some parts of the region after FMS clustering. LA - English DB - MTMT ER - TY - JOUR AU - Orbán, Aladár AU - Kalmár, János AU - Gribovszki, Katalin Eszter TI - A FORGÓLÉZERES SZINTKITŰZŐK VIZSGÁLATÁRÓL JF - GEOMATIKAI KÖZLEMÉNYEK / PUBLICATIONS IN GEOMATICS J2 - GEOMAT KÖZL VL - 26 PY - 2023 SN - 1419-6492 UR - https://m2.mtmt.hu/api/publication/34101728 ID - 34101728 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Bányai, László AU - Bozsó, István AU - Szűcs, Eszter AU - Gribovszki, Katalin Eszter AU - Wesztergom, Viktor TI - Monitoring Strategy of Geological Hazards Using Integrated Three-dimensional InSAR and GNSS Technologies with Case Study JF - PERIODICA POLYTECHNICA-CIVIL ENGINEERING J2 - PERIOD POLYTECH CIV ENG VL - 67 PY - 2023 IS - 4 SP - 992 EP - 1000 PG - 9 SN - 0553-6626 DO - 10.3311/PPci.20009 UR - https://m2.mtmt.hu/api/publication/34049353 ID - 34049353 AB - Geodetic/geodynamic benchmarks, equipped with both ascending and descending radar corner reflectors, and a method for integrated InSAR and GNSS/GPS network observation were developed and applied as the continuation of the former geodetic monitoring at the Dunaszekcső landslide, Hungary. The attempts to apply InSAR technologies using archive and Sentinel-1 data practically failed on the most intensive landside areas (“Vár” and “Szent János” hills), where proper persistent or distributed scatterers were not found. Our concept solved this problem, where the Simple Look Complex (SLC) images are used to interpolate the movements between two GNSS network observations using the integrated benchmarks and the method of Kalman-filtering. Since the InSAR line-of-sight (LOS) changes are barely sensitive to the north movements, this information is essentially provided by GNSS measurement alone, moreover, the GNSS measurements are used to: a) identify the benchmarks, b) detect the unwrapping errors and missing cycles and c) provide the boundary values of Kalman-filtering.After the installation of benchmarks three GPS observations were carried out and 69 ascending and 61 descending Sentinel-1 A and B images were processed. The data processing properly indicated the general movement history, which fit the curves of former geodetic observations, as well. The dense data points of the East and Up (vertical) components made possible more detailed geomorphologic interpretations of the ongoing process between two GPS observations. During the investigated periods the deceleration of movements was experienced, however, the deceleration of the dormant state needs the continuation of the monitoring. LA - English DB - MTMT ER - TY - JOUR AU - Szalai, Sándor AU - Baracza, Mátyás Krisztián AU - Kárpi, Marcell AU - Szűcs, Péter AU - Metwaly, M. AU - Turai, Endre AU - Facskó, Gábor István AU - Zubair, M. AU - Szarka, László Csaba AU - Gribovszki, Katalin Eszter TI - Improving ERT Imaging of Small-Size 2D Targets Using Different Strategies JF - PURE AND APPLIED GEOPHYSICS J2 - PURE APPL GEOPHYS VL - 180 PY - 2023 SP - 157 EP - 185 PG - 29 SN - 0033-4553 DO - 10.1007/s00024-022-03204-8 UR - https://m2.mtmt.hu/api/publication/33532115 ID - 33532115 N1 - Institute of Earth Physics and Space Science (ELKH-EPSS), Sopron, Hungary Department of Geophysics, University of Miskolc, Miskolc-Egyetemváros, 3515, Hungary Research Institute of Applied Earth Sciences, University of Miskolc, Miskolc, Hungary Institute of Environmental Management, University of Miskolc, Miskolc, Hungary MTA-ME Geoengineering Research Group, Miskolc-Egyetemváros, Hungary Archaeology Department, College of Tourism and Archaeology, King Saud University, Riyadh, Saudi Arabia National Research Institute of Astronomy and Geophysics (NRIAG), Helwan, Cairo, Egypt Wigner Research Centre for Physics, Budapest, Hungary Department of Earth Science, IIT, Roorkee, 247667, India Export Date: 24 April 2023 Correspondence Address: Szalai, S.; Institute of Earth Physics and Space Science (ELKH-EPSS)Hungary; email: szalai@ggki.hu Funding details: European Commission, EC, EU, GI-2.3.2-15-2016-00010 Funding details: King Saud University, KSU Funding details: Excellent Young Talents Fund Program of Higher Education Institutions of Anhui Province Funding details: Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, NKFIH; hu:NKFI, K-138969, RSP-2021/89 Funding text 1: This work was supported by the National Research, Development and Innovation Office, Hungary‐NKFIH, K-138969. S. Szalai is profoundly grateful for the support provided by topic “Optimizing natural resources based on state-of-the-art technologies” of the project of the Excellence Program for Higher Education Institutions. The authors would like to thank the Research Supporting Project number (RSP-2021/89), King Saud University, Riyadh, Saudi Arabia for funding this work. Support was received from the GINOP-2.3.2-15-2016-00010 “Development of enhanced engineering methods with the aim at utilization of subterranean energy resources” project of the Research Institute of Applied Earth Sciences of the University of Miskolc in the framework of the Széchenyi 2020 Plan, funded by the European Union, co-financed by the European Structural and Investment Funds. LA - English DB - MTMT ER -