@article{MTMT:32600491,
	title = {The time of concentration application in studies around the world: a review},
	url = {https://m2.mtmt.hu/api/publication/32600491},
	author = {Almeida, Aleska Kaufmann and de Almeida, Isabel Kaufmann and Guarienti, José Antonio and Gabas, Sandra Garcia},
	doi = {10.1007/s11356-021-16790-2},
	journal-iso = {ENVIRON SCI POLLUT R},
	journal = {ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH},
	volume = {29},
	unique-id = {32600491},
	issn = {0944-1344},
	year = {2022},
	eissn = {1614-7499},
	pages = {8126-8172},
	orcid-numbers = {de Almeida, Isabel Kaufmann/0000-0002-8609-2991}
}

@article{MTMT:33727630,
	title = {Performance analysis by pressure-driven model to increase reliability of water services in pressurized irrigation systems},
	url = {https://m2.mtmt.hu/api/publication/33727630},
	author = {Alobid, Mohannad},
	doi = {10.2139/ssrn.4040076},
	journal-iso = {SOC SCI RES NETW (SSRN)},
	journal = {SOCIAL SCIENCE RESEARCH NETWORK: SSRN},
	volume = {2},
	unique-id = {33727630},
	year = {2022},
	eissn = {1556-5068},
	pages = {59}
}

@article{MTMT:32600545,
	title = {Comparison of Rainfall-Runoff Simulation between Support Vector Regression and HEC-HMS for a Rural Watershed in Taiwan},
	url = {https://m2.mtmt.hu/api/publication/32600545},
	author = {Chiang, Shen and Chang, Chih-Hsin and Chen, Wei-Bo},
	doi = {10.3390/w14020191},
	journal-iso = {WATER-SUI},
	journal = {WATER},
	volume = {14},
	unique-id = {32600545},
	year = {2022},
	eissn = {2073-4441},
	pages = {191},
	orcid-numbers = {Chen, Wei-Bo/0000-0001-8551-6185}
}

@article{MTMT:33678553,
	title = {Effectiveness of Strategically Located Green Stormwater Infrastructure Networks for Adaptive Flood Mitigation in a Context of Climate Change},
	url = {https://m2.mtmt.hu/api/publication/33678553},
	author = {Muangsri, Suphicha and McWilliam, Wendy and Davies, Tim and Lawson, Gillian},
	doi = {10.3390/land11112078},
	journal-iso = {LAND-BASEL},
	journal = {LAND (BASEL)},
	volume = {11},
	unique-id = {33678553},
	abstract = {Studies indicate Green Stormwater Infrastructure (GSI) on industrial land can provide substantial adaptive flood mitigation within urban catchments under climate change. To identify a cost-effective adaptive GSI network, planners need to evaluate flood mitigation capabilities of industrial properties through time and understand key characteristics informing when, where, and how GSI should be implemented for maximum effect. We applied the Hydrology-based Land Capability Assessment and Classification (HLCA+C) methodology to a catchment in Christchurch, New Zealand, to evaluate the capabilities of industrial properties clustered into Storm Water Management (SWM) zones under different climate change scenarios. SWM zone potentials and limitations were assessed to develop the most capable adaptive flood mitigation network with climate change. We prioritised six of twenty SWM zones for inclusion in the network based on their substantial flood mitigation capabilities. To maximise their capabilities through time, we orchestrated, and implemented GSI in zones incrementally, using different implementation approaches based on key characteristics determining their capability. The results indicated that the most capable zone could mitigate climate change-induced flooding, by itself, up to the end of this century under the moderate climate change scenario. However, if its capability was combined with that of five others, together they could mitigate flooding just shy of that associated with the major climate change scenario up to the end of this century. The resulting adaptive industrial GSI network not only provides substantial flood protection for communities but allows costly investments in flood mitigation structures, such as barriers and levees, to be safely delayed until their cost-effectiveness has been confirmed under increased climate certainty.},
	year = {2022},
	eissn = {2073-445X},
	pages = {2078},
	orcid-numbers = {Muangsri, Suphicha/0000-0002-1116-4911; McWilliam, Wendy/0000-0003-4889-9716; Lawson, Gillian/0000-0002-7699-5812}
}

@article{MTMT:33077114,
	title = {Estimation of catchment response time using a new automated event-based approach},
	url = {https://m2.mtmt.hu/api/publication/33077114},
	author = {Nagy, Eszter Dóra and Szilágyi, József and Torma, Péter},
	doi = {10.1016/j.jhydrol.2022.128355},
	journal-iso = {J HYDROL},
	journal = {JOURNAL OF HYDROLOGY},
	volume = {613},
	unique-id = {33077114},
	issn = {0022-1694},
	abstract = {The estimation of catchment response time (Tr) plays an important role in several hydrological and civil engineering design problems. The non-linear relationship between Tr and rainfall intensity necessitates the estimation of an event-based set of Tr values instead of a characteristic constant value. However, there is no generally accepted method to define individual rainfall-runoff events from time-series. Here we propose a new, automated method which results in the selection of rainfall-runoff events and the corresponding Tr values. The proposed method yields an event-based set of Tr values more efficiently than other existing methods and has only two parameters. The results of the new method were compared to those of a statistical and a semi-manual event selection approach. The latter calculates eight different Tr values, including the time of concentration, lag time, time to peak, and time to equilibrium. The median Tr value of the proposed method yields the strongest agreement with the median of the time elapsed between the maxima of the total rainfall and runoff with a root-mean-square error of 4.94 h. It is also demonstrated that a median time of concentration value can be estimated as the maximum of the event based Tr values by the current method. A sensitivity analysis explores the robustness of the proposed method, and also yields the optima of its two parameters. Once calibrated, the present automated methodology dispenses with any event selection procedure.},
	year = {2022},
	eissn = {1879-2707},
	orcid-numbers = {Nagy, Eszter Dóra/0000-0002-6235-3499; Szilágyi, József/0000-0003-4449-0470; Torma, Péter/0000-0001-9282-6931}
}

@mastersthesis{MTMT:33829758,
	title = {Response time estimation in small- and medium-sized catchments of Hungary},
	url = {https://m2.mtmt.hu/api/publication/33829758},
	author = {Nagy, Eszter Dóra},
	publisher = {Budapest University of Technology and Economics},
	unique-id = {33829758},
	year = {2022},
	orcid-numbers = {Nagy, Eszter Dóra/0000-0002-6235-3499}
}

@article{MTMT:32600520,
	title = {Numerical approximation of the hydrological time of concentration},
	url = {https://m2.mtmt.hu/api/publication/32600520},
	author = {BARRÓN FERNÁNDEZ, Juan Ramón and CALVO-JURADO, Carmen},
	doi = {10.30521/jes.823017},
	journal-iso = {Journal of Energy Sysrems},
	journal = {Journal of Energy Sysrems},
	volume = {5},
	unique-id = {32600520},
	issn = {2602-2052},
	year = {2021},
	pages = {121-136}
}

@article{MTMT:32331641,
	title = {A dynamic prediction model for time-to-peak},
	url = {https://m2.mtmt.hu/api/publication/32331641},
	author = {Langridge, Mistaya and McBean, Ed and Bonakdari, Hossein and Gharabaghi, Bahram},
	doi = {10.1002/hyp.14032},
	journal-iso = {HYDROL PROCESS},
	journal = {HYDROLOGICAL PROCESSES},
	volume = {35},
	unique-id = {32331641},
	issn = {0885-6087},
	abstract = {A simplified empirical equation is developed for widespread prediction of dynamic catchment response time. This model allows for time-to-peak prediction to evolve from static, lumped models, thereby providing a single value for any storm within a given catchment, using a single set of input parameters, that can be applied to a dynamic model, thus accounting for the variability between storm sizes and catchment moisture conditions. These dynamic prediction methods are translated to North America for the first time. This allows the concepts and prediction methods for catchment response time prediction previously established for the United Kingdom (UK), to be translated to a simple empirical equation for use in North America, through the use of selected study areas in Canada and the United States. This reconfigured model is statistically successful in both the UK and North America and allows for a straightforward implementation of dynamic time-to-peak prediction. Further, the reconfigured model introduces the use of a runoff coefficient (R-c) to encompass historical catchment wetness, increasing the ease of incorporating antecedent moisture condition into predictions.},
	keywords = {PEAK; Soil moisture; Water resources; Runoff coefficient; Catchment response time; Peak flow; Time–; to‐},
	year = {2021},
	eissn = {1099-1085},
	orcid-numbers = {Bonakdari, Hossein/0000-0001-6169-3654; Gharabaghi, Bahram/0000-0003-0454-2811}
}

@article{MTMT:32508825,
	title = {Assessment of dimension-reduction and grouping methods for catchment response time estimation in Hungary},
	url = {https://m2.mtmt.hu/api/publication/32508825},
	author = {Nagy, Eszter Dóra and Szilágyi, József and Torma, Péter},
	doi = {10.1016/j.ejrh.2021.100971},
	journal-iso = {J HYDROL-REG STUD},
	journal = {JOURNAL OF HYDROLOGY: REGIONAL STUDIES},
	volume = {38},
	unique-id = {32508825},
	year = {2021},
	eissn = {2214-5818},
	orcid-numbers = {Nagy, Eszter Dóra/0000-0002-6235-3499; Szilágyi, József/0000-0003-4449-0470; Torma, Péter/0000-0001-9282-6931}
}

@article{MTMT:31486996,
	title = {Understanding the dynamic nature of Time-to-Peak in UK streams},
	url = {https://m2.mtmt.hu/api/publication/31486996},
	author = {Langridge, Mistaya and Gharabaghi, Bahram and McBean, Ed and Bonakdari, Hossein and Walton, Rachel},
	doi = {10.1016/j.jhydrol.2020.124630},
	journal-iso = {J HYDROL},
	journal = {JOURNAL OF HYDROLOGY},
	volume = {583},
	unique-id = {31486996},
	issn = {0022-1694},
	abstract = {In flood forecasting and design for peak flows, understanding and characterizing the hydrologic response to rainfall events is vitally important. One of the key parameters utilized to characterize the catchment response time is the Time-to-Peak (T-p), which represents the net rise time of a storm hydrograph, or the time from when a precipitation event begins to contribute to stream discharge, to the time that peak flow (Q(p)) is reached. Previously, influencing factors on T-p have been static in nature with no consideration of the variability in T-p due to size of the storm event and the antecedent moisture conditions of the watershed (seasonal effects). Using similar to 1400 storm event observations and the corresponding catchment characteristics of 153 stream gauges across the United Kingdom (UK), the importance of different factors on estimating T-p are evaluated. These data points span three decades, and this breadth of temporal data allowed meaningful annual trends to be observed, and seasonal variations in soil moisture to be identified and applied. A new "wetness coefficient" is applied herein, to reflect the antecedent conditions within a catchment. The Q(p) is selected as a dynamic variable, utilized to represent the magnitude of a given storm, due to the demonstrated correlation with T-p. An explicit equation based on gene expression programming is designed, which accounts for the dynamic nature of T-p through Q(p) and seasonal moisture effects. The results of the proposed model are compared to the results of the existing equation for T-p prediction in the UK, outlined by the Flood Estimation Handbook (FEH). The proposed equation (with Nash-Sutcliffe Coefficient, R-2 and RMSE values equal to 0.60, 0.66 and 3.64, respectively), has improved characteristics compared with the traditional FEH equation (Nash = 0.42, R-2 = 0.54, and RMSE = 4.37). A forensic analysis of the contributing factors for T-p involves development of an empirical model with improved prediction accuracy, by accounting for the dynamic inputs, improving previous models both statistically, as well as in the hydrologic understanding of the catchment response.},
	keywords = {Soil moisture; GEP; Time-to-peak; Catchment response time; Peak flow},
	year = {2020},
	eissn = {1879-2707},
	orcid-numbers = {Gharabaghi, Bahram/0000-0003-0454-2811}
}

@inproceedings{MTMT:31143412,
	title = {Methods of Estimating Time of Concentration: A Case Study of Urban Catchment of Sungai Kerayong, Kuala Lumpur},
	url = {https://m2.mtmt.hu/api/publication/31143412},
	author = {Mudashiru, Rofiat Bunmi and Abustan, Ismail and Baharudin, Fauzi},
	booktitle = {Proceedings of AICCE'19},
	doi = {10.1007/978-3-030-32816-0_8},
	unique-id = {31143412},
	year = {2020},
	pages = {119-161}
}

@article{MTMT:31337312,
	title = {Tározóvízállás előrejelezhetőségének vizsgálata a Kebele-patak vízgyűjtőjén},
	url = {https://m2.mtmt.hu/api/publication/31337312},
	author = {Nagy, Eszter Dóra},
	journal-iso = {HIDROL KOZL},
	journal = {HIDROLÓGIAI KÖZLÖNY},
	volume = {100},
	unique-id = {31337312},
	issn = {0018-1323},
	year = {2020},
	eissn = {2939-8495},
	pages = {70-75},
	orcid-numbers = {Nagy, Eszter Dóra/0000-0002-6235-3499}
}

@article{MTMT:31190043,
	title = {COMBINANDO GEOMORFOLOGIA E PADRÕES HIDRODINÂMICOS DO ESCOAMENTO DE BASE PARA MELHORAR A ESTIMATIVA DO TEMPO DE CONCENTRAÇÃO},
	url = {https://m2.mtmt.hu/api/publication/31190043},
	author = {Camyla, Innocente and Alondra, Beatriz Alvarez Perez and João, Henrique Macedo Sá and Pedro, Ferreira Arienti and Pedro, Luiz Borges Chaffe},
	journal = {XXIII. Simposio Brasileiro de Recursos Hidricos},
	volume = {1},
	unique-id = {31190043},
	year = {2019},
	eissn = {2318-0358},
	pages = {1-10}
}

@article{MTMT:30412995,
	title = {Estimating the effectiveness of crop management on reducing flood risk and sediment transport on hilly agricultural land – A Myjava case study, Slovakia},
	url = {https://m2.mtmt.hu/api/publication/30412995},
	author = {Hlavčová, K. and Danáčová, M. and Kohnová, S. and Szolgay, J. and Valent, P. and Výleta, R.},
	doi = {10.1016/j.catena.2018.09.027},
	journal-iso = {CATENA},
	journal = {CATENA},
	volume = {172},
	unique-id = {30412995},
	issn = {0341-8162},
	year = {2019},
	eissn = {1872-6887},
	pages = {678-690}
}

@CONFERENCE{MTMT:31190091,
	title = {Understanding the Dynamic Nature of Catchment Response Time through Machine Learning Analysis},
	url = {https://m2.mtmt.hu/api/publication/31190091},
	author = {Mistaya, Langridge and Bahram, Gharabaghi and Hossein, Bonakdari and Rachel, Walton},
	booktitle = {Fall Meeting abstracts},
	unique-id = {31190091},
	year = {2019}
}

@article{MTMT:30318379,
	title = {Using numerical modeling error analysis methods to indicate changes in a watershed},
	url = {https://m2.mtmt.hu/api/publication/30318379},
	author = {Mátyás, Kevin and Bene, Katalin},
	doi = {10.1556/606.2018.13.3.17},
	journal-iso = {POLLACK PERIODICA},
	journal = {POLLACK PERIODICA: AN INTERNATIONAL JOURNAL FOR ENGINEERING AND INFORMATION SCIENCES},
	volume = {13},
	unique-id = {30318379},
	issn = {1788-1994},
	year = {2018},
	eissn = {1788-3911},
	pages = {175-186},
	orcid-numbers = {Bene, Katalin/0000-0001-9285-9477}
}