@article{MTMT:35895563,
	title = {Recreational and Landscape Preferences of Anglers in the Case of Lake Tisza},
	url = {https://m2.mtmt.hu/api/publication/35895563},
	author = {Halasi-Kovácsné Benkhard, Borbála Rita and Kiss, Emőke and Csorba, Péter and Balla, Dániel and Szabó, György Emőd and Mester, Tamás and Vass, Róbert and Fazekas, István and Babka, Beáta and Balázs, Dávid Norbert and Vasvári, Mária},
	doi = {10.3390/land14030600},
	journal-iso = {LAND-BASEL},
	journal = {LAND (BASEL)},
	volume = {14},
	unique-id = {35895563},
	abstract = {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.},
	year = {2025},
	eissn = {2073-445X},
	orcid-numbers = {Balla, Dániel/0000-0002-8051-1518; Fazekas, István/0000-0001-7973-9454; Babka, Beáta/0000-0002-7275-2581}
}

@article{MTMT:35930815,
	title = {Towards Environmental Sustainability: Wastewater Management and Sewer Networks for Protecting Groundwater in Rural Settlements},
	url = {https://m2.mtmt.hu/api/publication/35930815},
	author = {Mester, Tamás and Szabó, György Emőd and Kiss, Emőke and Balla, Dániel},
	doi = {10.3390/urbansci9030080},
	journal-iso = {URBAN SCI},
	journal = {URBAN SCIENCE},
	volume = {9},
	unique-id = {35930815},
	abstract = {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.},
	year = {2025},
	eissn = {2413-8851},
	orcid-numbers = {Mester, Tamás/0000-0001-7484-7560; Balla, Dániel/0000-0002-8051-1518}
}

@inproceedings{MTMT:36111672,
	title = {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},
	url = {https://m2.mtmt.hu/api/publication/36111672},
	author = {Mester, Tamás and Szabó, György Emőd and Kiss, Emőke and Balla, Dániel},
	booktitle = {Proceedings of the 10th International Conference on Water Resource and Environment},
	doi = {10.1007/978-981-96-5095-8_12},
	unique-id = {36111672},
	year = {2025},
	pages = {136-146},
	orcid-numbers = {Mester, Tamás/0000-0001-7484-7560; Balla, Dániel/0000-0002-8051-1518}
}

@{MTMT:36161918,
	title = {Application of time series monitoring data spatiotemporal analysis using data visualization tool},
	url = {https://m2.mtmt.hu/api/publication/36161918},
	author = {Balla, Dániel and Levente, Tari and Kiss, Emőke and Zichar, Marianna and Mester, Tamás},
	booktitle = {Az elmélet és a gyakorlat találkozása a térinformatikában XVI.},
	unique-id = {36161918},
	year = {2025},
	pages = {17-17},
	orcid-numbers = {Balla, Dániel/0000-0002-8051-1518; Zichar, Marianna/0000-0002-1943-6053}
}

@inproceedings{MTMT:36167492,
	title = {Spatial Analysis of Solar Panel Adoption in Hungarian Dwellings: Implications for Localized Energy Transition and Alignment with EU Climate Policy Goals},
	url = {https://m2.mtmt.hu/api/publication/36167492},
	author = {Ahmed, Magraby and Kiss, Emőke},
	booktitle = {Az elmélet és a gyakorlat találkozása a térinformatikában XVI.},
	unique-id = {36167492},
	year = {2025},
	pages = {137-143}
}

@article{MTMT:36285931,
	title = {Integrated Assessment of Groundwater Quality Using Water Quality Indices, Geospatial Analysis, and Neural Networks in a Rural Hungarian Settlement},
	url = {https://m2.mtmt.hu/api/publication/36285931},
	author = {Balla, Dániel and Tari, Levente and Hajdu, András and Kiss, Emőke and Zichar, Marianna and Mester, Tamás},
	doi = {10.3390/w17162371},
	journal-iso = {WATER-SUI},
	journal = {WATER},
	volume = {17},
	unique-id = {36285931},
	abstract = {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.},
	year = {2025},
	eissn = {2073-4441},
	pages = {2371},
	orcid-numbers = {Balla, Dániel/0000-0002-8051-1518; Zichar, Marianna/0000-0002-1943-6053}
}

@article{MTMT:36331360,
	title = {Talajvízkutak vízminőségének értékelése vízminőségi indexek, mesterséges intelligencia és adatvizualizáció segítségével egy alföldi település példáján},
	url = {https://m2.mtmt.hu/api/publication/36331360},
	author = {Balla, Dániel and Tari, Levente and Hajdu, András and Kiss, Emőke and Zichar, Marianna and Mester, Tamás},
	doi = {10.30921/GK.77.2025.2.2},
	journal-iso = {GEODÉZIA ÉS KARTOGRÁFIA},
	journal = {GEODÉZIA ÉS KARTOGRÁFIA},
	volume = {77},
	unique-id = {36331360},
	issn = {0016-7118},
	year = {2025},
	eissn = {1588-0532},
	pages = {10-21},
	orcid-numbers = {Balla, Dániel/0000-0002-8051-1518; Zichar, Marianna/0000-0002-1943-6053}
}

@article{MTMT:36508881,
	title = {What predicts climate concern and pro-environmental behavior? Case study on Eastern Hungarian settlement},
	url = {https://m2.mtmt.hu/api/publication/36508881},
	author = {Kiss, Emőke and Mester, Tamás and Balla, Dániel},
	doi = {10.12775/bgss-2026-0002},
	journal-iso = {BULL GEOGR SOC ECON SER},
	journal = {BULLETIN OF GEOGRAPHY SOCIO-ECONOMIC SERIES},
	volume = {71},
	unique-id = {36508881},
	issn = {1732-4254},
	abstract = {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). ...},
	year = {2025},
	eissn = {2083-8298},
	pages = {25-43},
	orcid-numbers = {Balla, Dániel/0000-0002-8051-1518}
}

@article{MTMT:34049318,
	title = {Evaluation of groundwater quality in the rural environment using geostatistical analysis and WebGIS methods in a Hungarian settlement, Báránd},
	url = {https://m2.mtmt.hu/api/publication/34049318},
	author = {Balla, Dániel and Kiss, Emőke and Zichar, Marianna and Mester, Tamás},
	doi = {10.1007/s11356-023-28627-1},
	journal-iso = {ENVIRON SCI POLLUT R},
	journal = {ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH},
	volume = {31},
	unique-id = {34049318},
	issn = {0944-1344},
	year = {2024},
	eissn = {1614-7499},
	pages = {57177-57195},
	orcid-numbers = {Balla, Dániel/0000-0002-8051-1518; Zichar, Marianna/0000-0002-1943-6053}
}

@article{MTMT:34566196,
	title = {Climate policy contradictions in light of the policy paradigms - the case of the Visegrád Countries},
	url = {https://m2.mtmt.hu/api/publication/34566196},
	author = {Kovács, András Donát and Farkas, Jenő Zsolt and Vasárus, Gábor László and Balla, Dániel and Kiss, Emőke},
	doi = {10.1016/j.envsci.2024.103689},
	journal-iso = {ENVIRON SCI POLICY},
	journal = {ENVIRONMENTAL SCIENCE & POLICY},
	volume = {154},
	unique-id = {34566196},
	issn = {1462-9011},
	year = {2024},
	eissn = {1873-6416},
	orcid-numbers = {Kovács, András Donát/0000-0002-7748-5945; Farkas, Jenő Zsolt/0000-0002-4245-2908; Vasárus, Gábor László/0000-0001-5375-9107; Balla, Dániel/0000-0002-8051-1518}
}