TY - JOUR AU - Almeida, Aleska Kaufmann AU - de Almeida, Isabel Kaufmann AU - Guarienti, José Antonio AU - Gabas, Sandra Garcia TI - The time of concentration application in studies around the world: a review JF - ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH J2 - ENVIRON SCI POLLUT R VL - 29 PY - 2022 IS - 6 SP - 8126 EP - 8172 PG - 47 SN - 0944-1344 DO - 10.1007/s11356-021-16790-2 UR - https://m2.mtmt.hu/api/publication/32600491 ID - 32600491 LA - English DB - MTMT ER - TY - JOUR AU - Alobid, Mohannad TI - Performance analysis by pressure-driven model to increase reliability of water services in pressurized irrigation systems JF - SOCIAL SCIENCE RESEARCH NETWORK: SSRN J2 - SOC SCI RES NETW (SSRN) VL - 2 PY - 2022 SP - 59 SN - 1556-5068 DO - 10.2139/ssrn.4040076 UR - https://m2.mtmt.hu/api/publication/33727630 ID - 33727630 LA - English DB - MTMT ER - TY - JOUR AU - Chiang, Shen AU - Chang, Chih-Hsin AU - Chen, Wei-Bo TI - Comparison of Rainfall-Runoff Simulation between Support Vector Regression and HEC-HMS for a Rural Watershed in Taiwan JF - WATER J2 - WATER-SUI VL - 14 PY - 2022 IS - 2 SP - 191 SN - 2073-4441 DO - 10.3390/w14020191 UR - https://m2.mtmt.hu/api/publication/32600545 ID - 32600545 LA - English DB - MTMT ER - TY - JOUR AU - Muangsri, Suphicha AU - McWilliam, Wendy AU - Davies, Tim AU - Lawson, Gillian TI - Effectiveness of Strategically Located Green Stormwater Infrastructure Networks for Adaptive Flood Mitigation in a Context of Climate Change JF - LAND (BASEL) J2 - LAND-BASEL VL - 11 PY - 2022 IS - 11 SP - 2078 SN - 2073-445X DO - 10.3390/land11112078 UR - https://m2.mtmt.hu/api/publication/33678553 ID - 33678553 AB - 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. LA - English DB - MTMT ER - TY - JOUR AU - Nagy, Eszter Dóra AU - Szilágyi, József AU - Torma, Péter TI - Estimation of catchment response time using a new automated event-based approach JF - JOURNAL OF HYDROLOGY J2 - J HYDROL VL - 613 PY - 2022 PG - 16 SN - 0022-1694 DO - 10.1016/j.jhydrol.2022.128355 UR - https://m2.mtmt.hu/api/publication/33077114 ID - 33077114 N1 - Department of Hydraulic and Water Resources Engineering, Faculty of Civil Engineering, Budapest University of Technology and Economics, Műegyetem rkp. 3., Budapest, H-1111, Hungary Conservation and Survey Division, School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE, United States Export Date: 22 September 2022 CODEN: JHYDA Correspondence Address: Nagy, E.D.; Department of Hydraulic and Water Resources Engineering, Műegyetem rkp. 3., Hungary; email: nagy.eszter@emk.bme.hu AB - 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. LA - English DB - MTMT ER - TY - THES AU - Nagy, Eszter Dóra TI - Response time estimation in small- and medium-sized catchments of Hungary PB - Budapesti Műszaki és Gazdaságtudományi Egyetem PY - 2022 SP - 112 UR - https://m2.mtmt.hu/api/publication/33829758 ID - 33829758 LA - English DB - MTMT ER - TY - JOUR AU - BARRÓN FERNÁNDEZ, Juan Ramón AU - CALVO-JURADO, Carmen TI - Numerical approximation of the hydrological time of concentration JF - Journal of Energy Sysrems J2 - Journal of Energy Sysrems VL - 5 PY - 2021 IS - 2 SP - 121 EP - 136 PG - 16 SN - 2602-2052 DO - 10.30521/jes.823017 UR - https://m2.mtmt.hu/api/publication/32600520 ID - 32600520 LA - English DB - MTMT ER - TY - JOUR AU - Langridge, Mistaya AU - McBean, Ed AU - Bonakdari, Hossein AU - Gharabaghi, Bahram TI - A dynamic prediction model for time-to-peak JF - HYDROLOGICAL PROCESSES J2 - HYDROL PROCESS VL - 35 PY - 2021 IS - 1 PG - 7 SN - 0885-6087 DO - 10.1002/hyp.14032 UR - https://m2.mtmt.hu/api/publication/32331641 ID - 32331641 AB - 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. LA - English DB - MTMT ER - TY - JOUR AU - Nagy, Eszter Dóra AU - Szilágyi, József AU - Torma, Péter TI - Assessment of dimension-reduction and grouping methods for catchment response time estimation in Hungary JF - JOURNAL OF HYDROLOGY: REGIONAL STUDIES J2 - J HYDROL-REG STUD VL - 38 PY - 2021 SN - 2214-5818 DO - 10.1016/j.ejrh.2021.100971 UR - https://m2.mtmt.hu/api/publication/32508825 ID - 32508825 LA - English DB - MTMT ER - TY - JOUR AU - Langridge, Mistaya AU - Gharabaghi, Bahram AU - McBean, Ed AU - Bonakdari, Hossein AU - Walton, Rachel TI - Understanding the dynamic nature of Time-to-Peak in UK streams JF - JOURNAL OF HYDROLOGY J2 - J HYDROL VL - 583 PY - 2020 PG - 10 SN - 0022-1694 DO - 10.1016/j.jhydrol.2020.124630 UR - https://m2.mtmt.hu/api/publication/31486996 ID - 31486996 AB - 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. LA - English DB - MTMT ER - TY - CHAP AU - Mudashiru, Rofiat Bunmi AU - Abustan, Ismail AU - Baharudin, Fauzi ED - Mohamed Nazri, Fadzli TI - Methods of Estimating Time of Concentration: A Case Study of Urban Catchment of Sungai Kerayong, Kuala Lumpur T2 - Proceedings of AICCE'19 PB - Springer Netherlands CY - Cham SN - 9783030328153 T3 - ; 53. PY - 2020 SP - 119 EP - 161 PG - 43 DO - 10.1007/978-3-030-32816-0_8 UR - https://m2.mtmt.hu/api/publication/31143412 ID - 31143412 LA - English DB - MTMT ER - TY - JOUR AU - Nagy, Eszter Dóra TI - Tározóvízállás előrejelezhetőségének vizsgálata a Kebele-patak vízgyűjtőjén JF - HIDROLÓGIAI KÖZLÖNY J2 - HIDROL KOZL VL - 100 PY - 2020 IS - 2 SP - 70 EP - 75 PG - 6 SN - 0018-1323 UR - https://m2.mtmt.hu/api/publication/31337312 ID - 31337312 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Camyla, Innocente AU - Alondra, Beatriz Alvarez Perez AU - João, Henrique Macedo Sá AU - Pedro, Ferreira Arienti AU - Pedro, Luiz Borges Chaffe TI - COMBINANDO GEOMORFOLOGIA E PADRÕES HIDRODINÂMICOS DO ESCOAMENTO DE BASE PARA MELHORAR A ESTIMATIVA DO TEMPO DE CONCENTRAÇÃO JF - XXIII. Simposio Brasileiro de Recursos Hidricos VL - 1 PY - 2019 SP - 1 EP - 10 PG - 10 SN - 2318-0358 UR - https://m2.mtmt.hu/api/publication/31190043 ID - 31190043 LA - Portuguese DB - MTMT ER - TY - JOUR AU - Hlavčová, K. AU - Danáčová, M. AU - Kohnová, S. AU - Szolgay, J. AU - Valent, P. AU - Výleta, R. TI - Estimating the effectiveness of crop management on reducing flood risk and sediment transport on hilly agricultural land – A Myjava case study, Slovakia JF - CATENA J2 - CATENA VL - 172 PY - 2019 SP - 678 EP - 690 PG - 13 SN - 0341-8162 DO - 10.1016/j.catena.2018.09.027 UR - https://m2.mtmt.hu/api/publication/30412995 ID - 30412995 LA - English DB - MTMT ER - TY - CONF AU - Mistaya, Langridge AU - Bahram, Gharabaghi AU - Hossein, Bonakdari AU - Rachel, Walton TI - Understanding the Dynamic Nature of Catchment Response Time through Machine Learning Analysis T2 - Fall Meeting abstracts PY - 2019 UR - https://m2.mtmt.hu/api/publication/31190091 ID - 31190091 LA - English DB - MTMT ER - TY - JOUR AU - Mátyás, Kevin AU - Bene, Katalin TI - Using numerical modeling error analysis methods to indicate changes in a watershed JF - POLLACK PERIODICA: AN INTERNATIONAL JOURNAL FOR ENGINEERING AND INFORMATION SCIENCES J2 - POLLACK PERIODICA VL - 13 PY - 2018 IS - 3 SP - 175 EP - 186 PG - 12 SN - 1788-1994 DO - 10.1556/606.2018.13.3.17 UR - https://m2.mtmt.hu/api/publication/30318379 ID - 30318379 LA - English DB - MTMT ER -