TY - JOUR AU - Halasi-Kovácsné Benkhard, Borbála Rita AU - Kiss, Emőke AU - Csorba, Péter AU - Balla, Dániel AU - Szabó, György Emőd AU - Mester, Tamás AU - Vass, Róbert AU - Fazekas, István AU - Babka, Beáta AU - Balázs, Dávid Norbert AU - Vasvári, Mária TI - Recreational and Landscape Preferences of Anglers in the Case of Lake Tisza JF - LAND (BASEL) J2 - LAND-BASEL VL - 14 PY - 2025 IS - 3 SN - 2073-445X DO - 10.3390/land14030600 UR - https://m2.mtmt.hu/api/publication/35895563 ID - 35895563 AB - Angling tourism is becoming increasingly important at Central Europe’s largest lowland reservoir, Lake Tisza. The lake, created in the 1970s, covers 127 km2 and has been increasingly used for recreational and nature conservation purposes recently. This study seeks to identify anglers’ site selection preferences at Lake Tisza, considering hydrological and ecological aspects, in support of sustainable site management. In order to achieve this, an in-person questionnaire survey was carried out covering the whole area during springtime 2024. During the survey period, a total of 224 anglers provided answers about their preferred location and recreational characteristics. Data processing was carried out using SPSS 26 and ESRI ArcGIS version 10.4.1. Based on the created catchment area map, it was found that a significant proportion (74%) of anglers arrive from within a 50 km radius, but the lake also has appeal outside the country. A total of 53.1% of respondents visit the lake several times per month, typically for fishing purposes. In addition, cycling, walking and picnicking are popular recreational activities among anglers. The respondents considering different landscapes (pictures showed by the interviewers) for angling prefer shaded areas with vegetation and a narrow view of the wide expanse of water (62%). The results of the open-ended questions indicate that site selection is primarily based on the existence of a shadow (49.5%), and suitability for fishing is only the second aspect (40.6%). Our study also highlighted the international trend that anglers are more interested in leisure activities in a green environment. In addition, the results have practical significance for more successful recreation planning and sustainable site management. LA - English DB - MTMT ER - TY - JOUR AU - Mester, Tamás AU - Szabó, György Emőd AU - Kiss, Emőke AU - Balla, Dániel TI - Towards Environmental Sustainability: Wastewater Management and Sewer Networks for Protecting Groundwater in Rural Settlements JF - URBAN SCIENCE J2 - URBAN SCI VL - 9 PY - 2025 IS - 3 PG - 17 SN - 2413-8851 DO - 10.3390/urbansci9030080 UR - https://m2.mtmt.hu/api/publication/35930815 ID - 35930815 AB - Sewer networks are essential in supporting the sustainable development of rural settlements. However, many municipalities face difficulties due to inadequate or missing sanitation systems. Thus, the contamination of municipal water supplies has become a pressing issue. In the present study, the process of the sewer network establishment and its impacts on groundwater was assessed in the case of a Hungarian settlement. It was found that, following the realization of wastewater agglomeration in 2015, 85% of households in the municipality were connected by 2023. Results indicate that uninsulated septic tanks used before the sewer system resulted in a high rate of sewage leakage. 3D models using RockWorks software show a groundwater dome of more than 1 m in the vicinity of the septic tank. The discharge had a significant impact on groundwater quality; high NH4+ concentrations (>90 mg/L) within the vicinity of the tank and above the limit value (0.5 mg/L) in the total area were detected. Na+ and NO3− concentrations above the contamination limit also reflect the severe impact of wastewater discharge. Significant positive changes in groundwater quality have been detected following sewerage. Our results highlight the importance of similar investments and draw attention to the positive changes that can be achieved. However, a very significant decrease in water levels was detected both in the vicinity of the septic tank and at the municipal level, which, in addition to precipitation patterns, is mainly attributable to the cessation of sewage outflow. Between 2013 and 2022, the average groundwater level declined by 3.8 m in the settlement. Therefore, long-term monitoring of the investment is essential. LA - English DB - MTMT ER - TY - CHAP AU - Mester, Tamás AU - Szabó, György Emőd AU - Kiss, Emőke AU - Balla, Dániel ED - Weng, Chih-Huang TI - Establishment of an Automatized Groundwater Monitoring Network for Assessing the Impacts of Human Activity and Meteorological Factors on Municipal Environment in the Great Hungarian Plain T2 - Proceedings of the 10th International Conference on Water Resource and Environment PB - Springer Nature Singapore CY - Singapore SN - 9789819650958 T3 - Lecture Notes in Civil Engineering, ISSN 2366-2557 ; 634. PY - 2025 SP - 136 EP - 146 PG - 11 DO - 10.1007/978-981-96-5095-8_12 UR - https://m2.mtmt.hu/api/publication/36111672 ID - 36111672 LA - English DB - MTMT ER - TY - CHAP AU - Balla, Dániel AU - Levente, Tari AU - Kiss, Emőke AU - Zichar, Marianna AU - Mester, Tamás ED - Abriha-Molnár, Vanda Éva TI - Application of time series monitoring data spatiotemporal analysis using data visualization tool T2 - Az elmélet és a gyakorlat találkozása a térinformatikában XVI. PB - Debreceni Egyetemi Kiadó CY - Debrecen SN - 9789634907114 PY - 2025 SP - 17 EP - 17 PG - 1 UR - https://m2.mtmt.hu/api/publication/36161918 ID - 36161918 LA - English DB - MTMT ER - TY - CHAP AU - Ahmed, Magraby AU - Kiss, Emőke ED - Abriha-Molnár, Vanda Éva TI - Spatial Analysis of Solar Panel Adoption in Hungarian Dwellings: Implications for Localized Energy Transition and Alignment with EU Climate Policy Goals T2 - Az elmélet és a gyakorlat találkozása a térinformatikában XVI. PB - Debreceni Egyetemi Kiadó CY - Debrecen SN - 9789634907114 PY - 2025 SP - 137 EP - 143 PG - 7 UR - https://m2.mtmt.hu/api/publication/36167492 ID - 36167492 LA - English DB - MTMT ER - TY - JOUR AU - Balla, Dániel AU - Tari, Levente AU - Hajdu, András AU - Kiss, Emőke AU - Zichar, Marianna AU - Mester, Tamás TI - Integrated Assessment of Groundwater Quality Using Water Quality Indices, Geospatial Analysis, and Neural Networks in a Rural Hungarian Settlement JF - WATER J2 - WATER-SUI VL - 17 PY - 2025 IS - 16 SP - 2371 SN - 2073-4441 DO - 10.3390/w17162371 UR - https://m2.mtmt.hu/api/publication/36285931 ID - 36285931 AB - In the present study, the changes in the groundwater quality in a Hungarian settlement, Báránd, were examined, nine years after the construction of a sewerage network. The sewerage network in the study area was completed in 2014, with a household connection rate exceeding 97% in 2023. In the summer of 2023, water samples were taken from 37 dug groundwater wells. Changes in the water quality were assessed using three water quality indicators (the Water Quality Index (WQI), Contamination degree (Cd), and Canadian Council of Ministers of the Environment Water Quality Index (CCME WQI)) and geographic information (GIS), data visualization systems, and artificial intelligence (AI). During the evaluation of the quality of the groundwater, eight water chemical parameters were used (pH, EC, NH4+, NO2−, NO3−, PO43−, COD, Na+). Based on interpolated maps and water quality indices, it was established that while an increasing portion of the area exhibits adequate or good water quality compared to the pre-sewerage period, a deterioration has occurred relative to recent years. Even nine years after the sewerage network construction, elevated concentrations of inorganic nitrogen forms and organic matter persist, indicating the continued presence of accumulated pollutants, as confirmed by all three water quality indicators to varying degrees and spatial patterns. The interactive data visualization and cloud-based sharing of the data of the water quality geodatabase were made freely available with the help of Tableau Public. A Feed-Forward Neural Network (FFNN) was developed to predict the groundwater quality, estimating the water quality statuses of three water quality indicators based on water chemistry parameters. The results showed that the applied training algorithms and activation functions proved to be the most effective in the case of different network structures. The most accurate prediction of the WQI and CCME WQI indicators was provided by the Bayesian control algorithm (trainbr), which achieved the lowest mean-squared error (RMSEWQI = 0.1205, RMSECCME WQI = 0.1305) and the highest determination coefficient (R2WQI = 0.9916, R2CCME WQI = 0.9838). For the Cd index, the accuracy of the model was lower (RMSE = 0.1621, R2 = 0.9714), suggesting that this indicator is more difficult to predict. With regard to our study, it should be emphasized that data visualization is a particularly practical tool for the post-processing of spatial monitoring data, as it is suitable for displaying information in an intuitive, visual form, for discovering spatial patterns and relationships, and for performing real-time analyses. AI is expected to further increase visualization efficiency in the future, enabling the rapid processing of large amounts of data and spatial databases, as well as the identification of complex patterns. LA - English DB - MTMT ER - TY - JOUR AU - Balla, Dániel AU - Tari, Levente AU - Hajdu, András AU - Kiss, Emőke AU - Zichar, Marianna AU - Mester, Tamás TI - Talajvízkutak vízminőségének értékelése vízminőségi indexek, mesterséges intelligencia és adatvizualizáció segítségével egy alföldi település példáján JF - GEODÉZIA ÉS KARTOGRÁFIA J2 - GEODÉZIA ÉS KARTOGRÁFIA VL - 77 PY - 2025 IS - 2 SP - 10 EP - 21 PG - 12 SN - 0016-7118 DO - 10.30921/GK.77.2025.2.2 UR - https://m2.mtmt.hu/api/publication/36331360 ID - 36331360 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Kiss, Emőke AU - Mester, Tamás AU - Balla, Dániel TI - What predicts climate concern and pro-environmental behavior? Case study on Eastern Hungarian settlement JF - BULLETIN OF GEOGRAPHY SOCIO-ECONOMIC SERIES J2 - BULL GEOGR SOC ECON SER VL - 71 PY - 2025 IS - 71 SP - 25 EP - 43 PG - 19 SN - 1732-4254 DO - 10.12775/bgss-2026-0002 UR - https://m2.mtmt.hu/api/publication/36508881 ID - 36508881 AB - The study examined climate concern (CC) and pro-environmental behaviour (PEB) regarding climate change. In our research, we chose the second largest city in Hungary, Debrecen. We conducted a questionnaire survey among residents in 2020 (N = 200). The closeness, strength and intensity of the relationship between the predictors, Total Climate Concern Index (TCCI) and PEB Index (PEBI), were examined by correlational analyses. Regression analysis investigated selected variables' relative impacts on and relationships to TCCI and PEBI. We revealed that the TCCI of inhabitants is very high, but PEBI is much lower. In correlational analyses, TCCI and PEBI were each separately found to correlate positively and significantly with AI (Attitude Index, which comprises risk perception and confident willingness to change lifestyle). ... LA - English DB - MTMT ER - TY - JOUR AU - Balla, Dániel AU - Kiss, Emőke AU - Zichar, Marianna AU - Mester, Tamás TI - Evaluation of groundwater quality in the rural environment using geostatistical analysis and WebGIS methods in a Hungarian settlement, Báránd JF - ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH J2 - ENVIRON SCI POLLUT R VL - 31 PY - 2024 SP - 57177 EP - 57195 PG - 19 SN - 0944-1344 DO - 10.1007/s11356-023-28627-1 UR - https://m2.mtmt.hu/api/publication/34049318 ID - 34049318 LA - English DB - MTMT ER - TY - JOUR AU - Kovács, András Donát AU - Farkas, Jenő Zsolt AU - Vasárus, Gábor László AU - Balla, Dániel AU - Kiss, Emőke TI - Climate policy contradictions in light of the policy paradigms - the case of the Visegrád Countries JF - ENVIRONMENTAL SCIENCE & POLICY J2 - ENVIRON SCI POLICY VL - 154 PY - 2024 PG - 10 SN - 1462-9011 DO - 10.1016/j.envsci.2024.103689 UR - https://m2.mtmt.hu/api/publication/34566196 ID - 34566196 N1 - First online Feb 8. Published: April 2024 LA - English DB - MTMT ER -