Talajfelszíni és digitális téradatokkal bővített lefolyásmodell összehasonlítása hagyományos lefolyásmodellekkel

András Dobai; Tibor Bíró; Tamás Deák; Endre  Dobos

doi:10.59258/hk.20916

András Dobai University of Miskolc, Faculties Faculty of Earth and Environmental Sciences and Engineering https://orcid.org/0000-0002-5268-0728
Tibor Bíró National University of Public Service, Institute of Environmental Sustainability https://orcid.org/0000-0002-5553-9850
Tamás Deák Univesity of Miskolc, Faculty of Earth and Environmental Sciences and Engineering, Institute of Geography and Geoinformatics https://orcid.org/0009-0001-1360-4159
Endre Dobos Univesity of Miskolc, Faculty of Earth and Environmental Sciences and Engineering, Institute of Geography and Geoinformatics https://orcid.org/0000-0002-9798-6376

DOI: https://doi.org/10.59258/hk.20916

Keywords: Flash-flood, HEC-HMS, GIS, digital soil mapping (DSM), runoff modelling

Abstract

Flash floods are among the most pressing contemporary challenges in water management, particularly in small catchment areas where short but intense rainfall events are associated with significant impact on the environment. Their occurrence is closely linked to topography, soil hydrological properties, and land cover, making their prediction a complex, interdisciplinary task. Due to climate change, extreme precipitation events are becoming more frequent and intense, necessitating modelling approaches that not only account for the physical characteristics of catchments but also incorporate spatial sensitivity. Although local hydraulic engineering practice relies on a wide range of hydrological models and empirical methods, accurate forecasting requires the mapping of flash flood-prone areas, the assessment of affected catchments, and the optimization of expected runoff volumes. In this study, the Cseres Valley catchment is presented, which has been classified as high-risk based on both actual flood events and risk assessment results. Expected runoff volumes are determined, and a runoff model developed at the University of Miskolc—based on geographic information systems (GIS) and remote sensing data—is tested. The model is intended to serve as an easily interpretable and parameterizable tool for supporting flood risk management and decision-making.

Author Biographies

András Dobai, University of Miskolc, Faculties Faculty of Earth and Environmental Sciences and Engineering

ANDRÁS DOBAI was born in Miskolc in 1988 and graduated in 2012 with a degree (MSc) in geospatial information from the Faculty of Earth and Environmental Sciences and Engineering of the University of Miskolc. Between 2019 and 2021, he served as a regional supervisor at the Miskolc Section Engineering Department of the Northern Hungary Water Management Directorate. He is currently participating in the doctoral training at the Mikoviny Sámuel Doctoral School of Earth Sciences, and his research area is the investigation of flash floods in mountainous and hilly areas. He is a member of the Hungarian Hydrological Society.

Tibor Bíró , National University of Public Service, Institute of Environmental Sustainability

TIBOR BÍRÓ Graduated in agricultural engineering, environmental engineer. He began his higher education career at the University of Debrecen, then held the positions of Dean and Vice-Rector of Károly Róbert College, and Dean of Szent István University. Later, he was Dean of the Faculty of Water Sciences of the Hungarian University of Economics. Vice-President of the Hungarian Water Resources and Energy Agency. His areas of expertise are inland water management, irrigation, floodplain condition assessment and remote sensing applications for water management. He is the recipient of numerous awards, including the Ferenc Schafarzik Memorial Medal, the Golden Degree of the Order of Merit for Public Service, the Sword of the Barrier, and the Environmental Protection Award. He is the author of more than 230 publications.

Tamás Deák , Univesity of Miskolc, Faculty of Earth and Environmental Sciences and Engineering, Institute of Geography and Geoinformatics

TAMÁS DEÁK was born in 1993, and received his MSc (2016) and MSc (2018) degrees as a geographer from the Faculty of Technical Geosciences of the University of Miskolc. Since 2020, he has worked at the Track Maintenance Department of the Miskolc Railway Regional Directorate of MÁV Zrt. Since September 2021, he has been a PhD student and research assistant at the Institute of Geography and Geoinformatics of the University of Miskolc. The focus of his doctoral research is developing a soil and GIS-based decision support system for the needs of precision agriculture, for the purpose of arable field irrigation. He is the founder of the precision agriculture service provider TalajGuru software.

Endre Dobos , Univesity of Miskolc, Faculty of Earth and Environmental Sciences and Engineering, Institute of Geography and Geoinformatics

DOBOS ENDRE was born in Miskolc in 1968. He graduated in agricultural engineering from the Gödöllő University of Agricultural Sciences in 1993, and in 1996 he graduated in geoinformatics and environmental surveying from the Faculty of Civil Engineering of the Budapest University of Technology. He received his PhD in 1998 from Purdue University in the United States of America in the field of digital soil mapping and small-scale soil database analysis, which is still his research area, supplemented by digital soil mapping procedures. He habilitated at the University of Miskolc in 2021. University professor, head of department, Department of Geography-Geoinformatics, Faculty of Earth and Environmental Sciences, University of Miskolc. Since 2022, he has been the president of the Hungarian Soil Science Society. Member of the Scientific Committee of the Hungarian Hydrological Society.

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Comparison of a runoff model enhanced with soil and digital spatial data to conventional runoff models

Abstract

Author Biographies

References