@CONFERENCE{MTMT:34804501,
	title = {Application of natural radionuclides in the hydrogeological characterization of karst system supplying the Lake Hévíz},
	url = {https://m2.mtmt.hu/api/publication/34804501},
	author = {Saeed, Bidar Kahnamuei and Hegedűs-Csondor, Katalin and Baják, Petra and Horváth, Ákos and Szieberth, Dénes and Czuppon, György and Vargha, Márta and Izsák, Bálint and Németh, György and Tóth, György and Erőss, Anita},
	booktitle = {54. Ifjú Szakemberek Ankétja Absztraktkötet - LIV. Meeting of Young Geoscientists Book of Abstracts},
	unique-id = {34804501},
	year = {2024},
	pages = {50-51},
	orcid-numbers = {Hegedűs-Csondor, Katalin/0000-0002-3368-9620; Horváth, Ákos/0000-0003-2611-4287; Czuppon, György/0000-0002-7231-6042; Erőss, Anita/0000-0002-2395-3934}
}

@CONFERENCE{MTMT:34804470,
	title = {Spatial and temporal variabiliy in drinking water quality in a riverbank filtered drinking water supply system},
	url = {https://m2.mtmt.hu/api/publication/34804470},
	author = {Erőss, Anita and Baják, Petra and Mezei, Máté Márk and Csiszár, E and Hegedűs-Csondor, Katalin and Izsák, Bálint and Vargha, Márta and Czuppon, György and Horváth, Ákos},
	booktitle = {EGU General Assembly 2024 : abstracts},
	doi = {10.5194/egusphere-egu24-13213},
	unique-id = {34804470},
	year = {2024},
	orcid-numbers = {Erőss, Anita/0000-0002-2395-3934; Hegedűs-Csondor, Katalin/0000-0002-3368-9620; Czuppon, György/0000-0002-7231-6042; Horváth, Ákos/0000-0003-2611-4287}
}

@CONFERENCE{MTMT:34804459,
	title = {Identifying Mixing Components by Natural Tracers in the Lake Hévíz System},
	url = {https://m2.mtmt.hu/api/publication/34804459},
	author = {Saeed, BK and Hegedűs-Csondor, Katalin and Baják, Petra and Horváth, Ákos and Szieberth, Dénes and Czuppon, György and Vargha, Márta and Izsák, Bálint and Erőss, Anita},
	booktitle = {EGU General Assembly 2024 : abstracts},
	doi = {10.5194/egusphere-egu24-888},
	unique-id = {34804459},
	year = {2024},
	orcid-numbers = {Hegedűs-Csondor, Katalin/0000-0002-3368-9620; Horváth, Ákos/0000-0003-2611-4287; Czuppon, György/0000-0002-7231-6042; Erőss, Anita/0000-0002-2395-3934}
}

@CONFERENCE{MTMT:34804442,
	title = {Regional groundwater flow mapping in NE Hungary – a tool to understand drinking water quality and quantity problems for sustainable resource management},
	url = {https://m2.mtmt.hu/api/publication/34804442},
	author = {Hegedűs-Csondor, Katalin and Jávorcsik, Réka and Reyana, Dawn Garcia and Baják, Petra and Kohuth-Ötvös, Viktória and Erőss, Anita},
	booktitle = {EGU General Assembly 2024 : abstracts},
	unique-id = {34804442},
	year = {2024},
	pages = {EGU24-12831},
	orcid-numbers = {Hegedűs-Csondor, Katalin/0000-0002-3368-9620; Erőss, Anita/0000-0002-2395-3934}
}

@CONFERENCE{MTMT:34804431,
	title = {Preliminary results of two-dimensional multicomponent reactive transport modelling to understand the controlling factors on uranium mobility in a siliciclastic aquifer in Hungary},
	url = {https://m2.mtmt.hu/api/publication/34804431},
	author = {Baják, Petra and Daniele, Pedretti and Csepregi, András and Muhammad, Muniruzzaman and Hegedűs-Csondor, Katalin and Erőss, Anita},
	booktitle = {EGU General Assembly 2024 : abstracts},
	unique-id = {34804431},
	year = {2024},
	pages = {EGU24-12663},
	orcid-numbers = {Hegedűs-Csondor, Katalin/0000-0002-3368-9620; Erőss, Anita/0000-0002-2395-3934}
}

@CONFERENCE{MTMT:34804353,
	title = {Investigating the groundwater contribution to the lakes and streams by environmental tracers in the catchment area of Lake Velence (Hungary)},
	url = {https://m2.mtmt.hu/api/publication/34804353},
	author = {Pénzes, V and Erőss, Anita and Hegedűs-Csondor, Katalin and Baják, Petra and Horváth, Ákos and Czuppon, György},
	booktitle = {EGU General Assembly 2024 : abstracts},
	doi = {10.5194/egusphere-egu24-941},
	unique-id = {34804353},
	year = {2024},
	orcid-numbers = {Erőss, Anita/0000-0002-2395-3934; Hegedűs-Csondor, Katalin/0000-0002-3368-9620; Horváth, Ákos/0000-0003-2611-4287; Czuppon, György/0000-0002-7231-6042}
}

@CONFERENCE{MTMT:34804345,
	title = {Rapid field measurement of uranium in water samples},
	url = {https://m2.mtmt.hu/api/publication/34804345},
	author = {Hegedűs-Csondor, Katalin and Heinz, Surbeck and Baják, Petra and Mádlné Szőnyi, Judit},
	booktitle = {EGU General Assembly 2024 : abstracts},
	unique-id = {34804345},
	year = {2024},
	pages = {EGU24-12506},
	orcid-numbers = {Hegedűs-Csondor, Katalin/0000-0002-3368-9620; Mádlné Szőnyi, Judit/0000-0002-5628-4386}
}

@CONFERENCE{MTMT:34802132,
	title = {Understanding near-surface hydrogeological processes around Lake Velence (Hungary) – using mesh graph neural networks on multidimensional remote sensing data},
	url = {https://m2.mtmt.hu/api/publication/34802132},
	author = {Rapai, Tibor and Baják, Petra and Lukács, András and Székely, Balázs and Erőss, Anita},
	booktitle = {EGU General Assembly 2024 : abstracts},
	doi = {10.5194/egusphere-egu24-5561},
	unique-id = {34802132},
	abstract = {Lake Velence is a shallow soda lake in Hungary whose water budget is mainly driven by precipitation and evaporation. The lake has shown a deteriorating tendency recently, including extremely low lake levels and poor water quality, which indicates its vulnerability against changing climatic conditions. At the same time several water usage conflicts appeared in the catchment area. Until recently, the groundwater component in the lake's water budget and the hydrogeological processes in the catchment area have not been taken into consideration. Recent hydrogeological studies, however, show groundwater discharge into the lake.  Thus, further investigating this question is of high importance, hence groundwater could reduce climatic vulnerability.
		Our ongoing work aims at developing a model-based evaluation technique, utilizing all map-based geophysical information and time series of different satellite data products, having sufficient spatial resolution and providing information about parameters strongly connected to subsurface processes, showing up on the surface. The basic DEM raster layer is imported from Copernicus GLO-30 dataset, having vertical precision <4 m. The Region Of Interest is a rectangular part of the catchment area: 47.1–47.4N, 18.4–18.8E. The first segmentation of the ROI is done using elevation data combined with lithographic and soil type information, resulting in almost uniform Voronoi-like polygon tessellation, with cells classified by geostructure. Further refinement by land cover type is done using Sentinel-1 SAR data. Other fixed data of point and polygon layers are important terrain features, points of surface inflows, (known) water takeouts and monitoring wells.
		The machine learning regression model has time series of measured data at all its layers, daily input from Agárd meteorological station, like precipitation, average temperature, wind speed and relative humidity. Another important input data comes from Sentinel-2 (GREEN-NIR)/(GREEN+NIR)=NDWI spectral index, available in about weekly time steps, varying between 2 days-2 weeks. A crucial feature of all remote sensing data used here is the spatial resolution being better (10 m) or similar to the resolution of the basic DEM model. During training a graph neural network is generated dynamically from the Voronoi tessellation, where cells are nodes and physical processes between neighbouring cells give edge attributes for the graph. We use rectilinear approximations for water runoff/subsurface water exchange between cells, vertical infiltration/discharge under cells and estimated evapotranspiration from them. Learnable parameters governing the intensity of these flows are connected to geostructure and land cover classes. Parameters are optimized with time interval cross validation, with one part of the time series data being left out from optimization in each epoch and used for evaluation against target water level data.
		Automatic detection of spatio-temporal patterns, connected to near-surface hydrogeological processes helped visualizing and quantifying estimated physical flows. Comparison with field measurements confirmed theoretic results from MODFLOW basin modelling, proving topography as a driving factor for subsurface flows. Our model is also suitable to handle isotope tracers, and extension to deep learning model promises predictive functionality for water table level.
		The research is part of a project which was funded by the National Multidisciplinary Laboratory for Climate Change, (Hungary) RRF-2.3.1-21-2022-00014.},
	year = {2024},
	orcid-numbers = {Lukács, András/0000-0003-3955-9824; Székely, Balázs/0000-0002-6552-4329; Erőss, Anita/0000-0002-2395-3934}
}

@article{MTMT:34608098,
	title = {The Pannon LitH2Oscope magnetotelluric array in the Pannonian Basin},
	url = {https://m2.mtmt.hu/api/publication/34608098},
	author = {Rubóczki, Tibor and Novák, Attila and Liptai, Nóra and Porkoláb, Kristóf and Molnár, Csaba and Galsa, Attila and Molnár, Gábor and Wesztergom, Viktor and Kovács, István János},
	doi = {10.1007/s40328-024-00434-1},
	journal-iso = {ACTA GEOD GEOPHYS},
	journal = {ACTA GEODAETICA ET GEOPHYSICA},
	unique-id = {34608098},
	issn = {2213-5812},
	abstract = {The Pannonian Basin is one of the best natural laboratories in the world to study the lithospheric response to continental extension and subsequent tectonic inversion. Here we address the topic of lithospheric structure by a combined geochemical and magnetotelluric analysis, which has been carried out in the framework of the Pannon LitH2Oscope project. The main objective was to detect the resistivity distribution over the entire lithosphere by magnetotelluric measurements, considering the lithological resistivity properties and relate the results to the structure and evolution of the Pannonian Basin. The Pannon LitH 2 Oscope MT array was used to estimate the depth of the Lithosphere-Asthenosphere Boundary (LAB), considering the legacy MT data and compared to previous estimates for the region. Using the MT and geomagnetic response functions, major structural zones of the Pannonian basin, such as the Mid-Hungarian Shear Zone or fault systems like the Makó Trough and the Békés Basin, were also imaged. In addition, we used the apparent resistivity soundings to compare 1D resistivity models computed from geochemistry and obtained from field MT measurements. This comparison provided new constrains for the composition, fluid and melt content variations at the local lithosphere-asthenosphere boundary. The Pannon LitH 2 Oscope MT dataset and the results presented in this paper provide input for more complex 3D inversions and further investigations of the lithospheric structure in the Carpathian-Pannonian region.},
	year = {2024},
	eissn = {2213-5820},
	orcid-numbers = {Rubóczki, Tibor/0009-0008-1937-2580; Liptai, Nóra/0000-0002-2464-2468; Porkoláb, Kristóf/0000-0001-7470-8296; Galsa, Attila/0000-0002-7198-4524; Molnár, Gábor/0000-0001-9309-3418; Kovács, István János/0000-0002-3488-3716}
}

@article{MTMT:34499100,
	title = {Irradiation induced mineral changes of NWA10580 meteorite determined by infrared analysis},
	url = {https://m2.mtmt.hu/api/publication/34499100},
	author = {Gyollai, Ildikó and Biri, Sándor and Juhász, Zoltán and Király, Csilla and Pal, B.D. and Rácz, Richárd Péter and Rezes, Dániel and Sulik, Béla and Szabó, Máté Zoltán and Szalai, Zoltán and Szavai, P. and Szklenár, Tamás and Kereszturi, Ákos},
	doi = {10.1051/0004-6361/202347467},
	journal-iso = {ASTRON ASTROPHYS},
	journal = {ASTRONOMY & ASTROPHYSICS},
	volume = {683},
	unique-id = {34499100},
	issn = {0004-6361},
	abstract = {Identifying minerals on asteroid surfaces is difficult as space weathering modifies the minerals' infrared spectra. This should be better understood for proper interpretation. We simulated the space weathering effects on a meteorite and recorded the alterations of the crystalline structure, such as the change in peak positions and full width at half maximum values. We used proton irradiation to simulate the effects of solar wind on a sample of NWA 10580 CO3 chondrite meteorites. After irradiation in three gradually increased steps with 1 keV ion energy, we used infrared microscopic reflectance and diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) to identify and understand the consequences of irradiation. We find negative peak shifts after the first and second irradiations at pyroxene and feldspar minerals, similarly to the literature, and this shift was attributed to Mg loss. However, after the third irradiation a positive change in values in wavenumber emerged for silicates, which could come from the distortion of SiO tetrahedra, resembling shock deformation. The full width at half maximum values of major bands show a positive (increasing) trend after irradiations in the case of feldspars, using IR reflection measurements. Comparing DRIFTS and reflection infrared data, the peak positions of major mineral bands were at similar wavenumbers, but differences can be observed in minor bands . We measured the spectral changes of meteorite minerals after high doses of proton irradiation for several minerals. We show the first of these measurements for feldspars; previous works only presented pyroxene, olivine, and phyllosilicates.},
	year = {2024},
	eissn = {1432-0746},
	orcid-numbers = {Gyollai, Ildikó/0000-0001-8576-0196; Rezes, Dániel/0000-0003-0730-2418; Szalai, Zoltán/0000-0001-5267-411X}
}