TY - CONF AU - Saeed, Bidar Kahnamuei AU - Hegedűs-Csondor, Katalin AU - Baják, Petra AU - Horváth, Ákos AU - Szieberth, Dénes AU - Czuppon, György AU - Vargha, Márta AU - Izsák, Bálint AU - Németh, György AU - Tóth, György AU - Erőss, Anita TI - Application of natural radionuclides in the hydrogeological characterization of karst system supplying the Lake Hévíz T2 - 54. Ifjú Szakemberek Ankétja Absztraktkötet - LIV. Meeting of Young Geoscientists Book of Abstracts PY - 2024 SP - 50 EP - 51 PG - 1 UR - https://m2.mtmt.hu/api/publication/34804501 ID - 34804501 LA - English DB - MTMT ER - TY - CONF AU - Erőss, Anita AU - Baják, Petra AU - Mezei, Máté Márk AU - Csiszár, E AU - Hegedűs-Csondor, Katalin AU - Izsák, Bálint AU - Vargha, Márta AU - Czuppon, György AU - Horváth, Ákos TI - Spatial and temporal variabiliy in drinking water quality in a riverbank filtered drinking water supply system T2 - EGU General Assembly 2024 : abstracts PB - European Geosciences Union (EGU) C1 - Wien PY - 2024 DO - 10.5194/egusphere-egu24-13213 UR - https://m2.mtmt.hu/api/publication/34804470 ID - 34804470 LA - English DB - MTMT ER - TY - CONF AU - Saeed, BK AU - Hegedűs-Csondor, Katalin AU - Baják, Petra AU - Horváth, Ákos AU - Szieberth, Dénes AU - Czuppon, György AU - Vargha, Márta AU - Izsák, Bálint AU - Erőss, Anita TI - Identifying Mixing Components by Natural Tracers in the Lake Hévíz System T2 - EGU General Assembly 2024 : abstracts PB - European Geosciences Union (EGU) C1 - Wien PY - 2024 DO - 10.5194/egusphere-egu24-888 UR - https://m2.mtmt.hu/api/publication/34804459 ID - 34804459 LA - English DB - MTMT ER - TY - CONF AU - Hegedűs-Csondor, Katalin AU - Jávorcsik, Réka AU - Reyana, Dawn Garcia AU - Baják, Petra AU - Kohuth-Ötvös, Viktória AU - Erőss, Anita TI - Regional groundwater flow mapping in NE Hungary – a tool to understand drinking water quality and quantity problems for sustainable resource management T2 - EGU General Assembly 2024 : abstracts PB - European Geosciences Union (EGU) C1 - Wien PY - 2024 SP - EGU24-12831 UR - https://m2.mtmt.hu/api/publication/34804442 ID - 34804442 LA - English DB - MTMT ER - TY - CONF AU - Baják, Petra AU - Daniele, Pedretti AU - Csepregi, András AU - Muhammad, Muniruzzaman AU - Hegedűs-Csondor, Katalin AU - Erőss, Anita TI - Preliminary results of two-dimensional multicomponent reactive transport modelling to understand the controlling factors on uranium mobility in a siliciclastic aquifer in Hungary T2 - EGU General Assembly 2024 : abstracts PB - European Geosciences Union (EGU) C1 - Wien PY - 2024 SP - EGU24-12663 UR - https://m2.mtmt.hu/api/publication/34804431 ID - 34804431 LA - English DB - MTMT ER - TY - CONF AU - Pénzes, V AU - Erőss, Anita AU - Hegedűs-Csondor, Katalin AU - Baják, Petra AU - Horváth, Ákos AU - Czuppon, György TI - Investigating the groundwater contribution to the lakes and streams by environmental tracers in the catchment area of Lake Velence (Hungary) T2 - EGU General Assembly 2024 : abstracts PB - European Geosciences Union (EGU) C1 - Wien PY - 2024 DO - 10.5194/egusphere-egu24-941 UR - https://m2.mtmt.hu/api/publication/34804353 ID - 34804353 LA - English DB - MTMT ER - TY - CONF AU - Rapai, Tibor AU - Baják, Petra AU - Lukács, András AU - Székely, Balázs AU - Erőss, Anita TI - Understanding near-surface hydrogeological processes around Lake Velence (Hungary) – using mesh graph neural networks on multidimensional remote sensing data T2 - EGU General Assembly 2024 : abstracts PB - European Geosciences Union (EGU) C1 - Wien PY - 2024 DO - 10.5194/egusphere-egu24-5561 UR - https://m2.mtmt.hu/api/publication/34802132 ID - 34802132 AB - 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. LA - English DB - MTMT ER - TY - CONF AU - Erőss, Anita AU - Baják, Petra AU - András, Csepregi AU - Szabó, Péter TI - Investigation of groundwater discharge and projection of future lake level changes of Lake Velence by using numerical simulation T2 - 19th World Lake Conference - Book of Abstracts PY - 2023 SP - 35 EP - 35 PG - 1 UR - https://m2.mtmt.hu/api/publication/34289554 ID - 34289554 LA - English DB - MTMT ER - TY - JOUR AU - Baják, Petra AU - Molnár, Bence AU - Hegedűs-Csondor, Katalin AU - Tiljander, M. AU - Jobbágy, V. AU - Kohuth-Ötvös, V. AU - Izsák, B. AU - Vargha, Márta AU - Horváth, Ákos AU - Csipa, E. AU - Óvári, Mihály AU - Tóbi, Csaba AU - Völgyesi, Péter AU - Pelczar, K. AU - Hult, M. AU - Erőss, Anita TI - Natural Radioactivity in Drinking Water in the Surroundings of a Metamorphic Outcrop in Hungary: The Hydrogeological Answer to Practical Problems JF - WATER J2 - WATER-SUI VL - 15 PY - 2023 IS - 9 PG - 20 SN - 2073-4441 DO - 10.3390/w15091637 UR - https://m2.mtmt.hu/api/publication/34189386 ID - 34189386 LA - English DB - MTMT ER - TY - JOUR AU - Erőss, Anita TI - Az esőcsepptől a forrásvízig – Szűcs Péter akadémikus székfoglaló előadása a Magyar Tudományos Akadémián JF - HIDROLÓGIAI KÖZLÖNY J2 - HIDROL KOZL VL - 103 PY - 2023 IS - 2 SP - 73 EP - 74 PG - 2 SN - 0018-1323 UR - https://m2.mtmt.hu/api/publication/34019535 ID - 34019535 LA - Hungarian DB - MTMT ER -