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Real Time Flow Forecasting in a Mountain River Catchment Using Conceptual Models with Simple Error Correction Scheme

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Real Time Flow Forecasting in a Mountain River Catchment Using Conceptual Models with Simple Error Correction Scheme

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Montes, N.; Aranda Domingo, JÁ.; García-Bartual, R. (2020). Real Time Flow Forecasting in a Mountain River Catchment Using Conceptual Models with Simple Error Correction Scheme. Water. 12(5):1-18. https://doi.org/10.3390/w12051484

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Título: Real Time Flow Forecasting in a Mountain River Catchment Using Conceptual Models with Simple Error Correction Scheme
Autor: Montes, Nicolás Aranda Domingo, José Ángel García-Bartual, Rafael
Entidad UPV: Universitat Politècnica de València. Departamento de Ingeniería Gráfica - Departament d'Enginyeria Gràfica
Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient
Fecha difusión:
Resumen:
[EN] Methods in operational hydrology for real-time flash-flood forecasting need to be simple enough to match requirements of real-time system management. For this reason, hydrologic routing methods are widely used in river ...[+]
Palabras clave: Flash-flood forecasting , Error correction scheme , River engineering , Real-time systems management
Derechos de uso: Reconocimiento (by)
Fuente:
Water. (issn: 2073-4441 )
DOI: 10.3390/w12051484
Editorial:
MDPI AG
Versión del editor: https://doi.org/10.3390/w12051484
Agradecimientos:
The authors wish to acknowledge support from Confederacion Hidrografica del Ebro.
Tipo: Artículo

References

MORAMARCO, T., BARBETTA, S., MELONE, F., & SINGH, V. P. (2006). A real-time stage Muskingum forecasting model for a site without rating curve. Hydrological Sciences Journal, 51(1), 66-82. doi:10.1623/hysj.51.1.66

Perumal, M., Moramarco, T., Barbetta, S., Melone, F., & Sahoo, B. (2011). Real-time flood stage forecasting by Variable Parameter Muskingum Stage hydrograph routing method. Hydrology Research, 42(2-3), 150-161. doi:10.2166/nh.2011.063

Clark, C. O. (1945). Storage and the Unit Hydrograph. Transactions of the American Society of Civil Engineers, 110(1), 1419-1446. doi:10.1061/taceat.0005800 [+]
MORAMARCO, T., BARBETTA, S., MELONE, F., & SINGH, V. P. (2006). A real-time stage Muskingum forecasting model for a site without rating curve. Hydrological Sciences Journal, 51(1), 66-82. doi:10.1623/hysj.51.1.66

Perumal, M., Moramarco, T., Barbetta, S., Melone, F., & Sahoo, B. (2011). Real-time flood stage forecasting by Variable Parameter Muskingum Stage hydrograph routing method. Hydrology Research, 42(2-3), 150-161. doi:10.2166/nh.2011.063

Clark, C. O. (1945). Storage and the Unit Hydrograph. Transactions of the American Society of Civil Engineers, 110(1), 1419-1446. doi:10.1061/taceat.0005800

Cunge, J. A. (1969). On The Subject Of A Flood Propagation Computation Method (Musklngum Method). Journal of Hydraulic Research, 7(2), 205-230. doi:10.1080/00221686909500264

Dooge, J. C. I., Strupczewski, W. G., & Napiórkowski, J. J. (1982). Hydrodynamic derivation of storage parameters of the Muskingum model. Journal of Hydrology, 54(4), 371-387. doi:10.1016/0022-1694(82)90163-9

Ponce, V. M., & Changanti, P. V. (1994). Variable-parameter Muskingum-Cunge method revisited. Journal of Hydrology, 162(3-4), 433-439. doi:10.1016/0022-1694(94)90241-0

Ponce, V. M., & Theurer, F. D. (1983). Closure to « Accuracy Criteria in Diffusion Routing » by Victor Miguel Ponce and Fred D. Theurer (June, 1982). Journal of Hydraulic Engineering, 109(5), 806-807. doi:10.1061/(asce)0733-9429(1983)109:5(806)

KUNDZEWICZ, Z. W. (1986). Physically based hydrological flood routing methods. Hydrological Sciences Journal, 31(2), 237-261. doi:10.1080/02626668609491042

Singh, V. P., & Scarlatos, P. D. (1987). Analysis of Nonlinear Muskingum Flood Routing. Journal of Hydraulic Engineering, 113(1), 61-79. doi:10.1061/(asce)0733-9429(1987)113:1(61)

Perumal, M. (1992). Multilinear muskingum flood routing method. Journal of Hydrology, 133(3-4), 259-272. doi:10.1016/0022-1694(92)90258-w

Tang, X., Knight, D. W., & Samuels, P. G. (1999). Variable parameter Muskingum-Cunge method for flood routing in a compound channel. Journal of Hydraulic Research, 37(5), 591-614. doi:10.1080/00221689909498519

Al-Humoud, J. M., & Esen, I. I. (2006). Approximate Methods for the Estimation of Muskingum Flood Routing Parameters. Water Resources Management, 20(6), 979-990. doi:10.1007/s11269-006-9018-2

Todini, E. (2007). A mass conservative and water storage consistent variable parameter Muskingum-Cunge approach. Hydrology and Earth System Sciences, 11(5), 1645-1659. doi:10.5194/hess-11-1645-2007

Brakensiek, D. L. (1963). Estimating coefficients for storage flood routing. Journal of Geophysical Research, 68(24), 6471-6474. doi:10.1029/jz068i024p06471

Birkhead, A. L., & James, C. S. (2002). Muskingum river routing with dynamic bank storage. Journal of Hydrology, 264(1-4), 113-132. doi:10.1016/s0022-1694(02)00068-9

Perumal, M., & Price, R. K. (2013). A fully mass conservative variable parameter McCarthy–Muskingum method: Theory and verification. Journal of Hydrology, 502, 89-102. doi:10.1016/j.jhydrol.2013.08.023

O’DONNELL, T. (1985). A direct three-parameter Muskingum procedure incorporating lateral inflow. Hydrological Sciences Journal, 30(4), 479-496. doi:10.1080/02626668509491013

Kshirsagar, M. M., Rajagopalan, B., & Lal, U. (1995). Optimal parameter estimation for Muskingum routing with ungauged lateral inflow. Journal of Hydrology, 169(1-4), 25-35. doi:10.1016/0022-1694(94)02670-7

Yadav, B., Perumal, M., & Bardossy, A. (2015). Variable parameter McCarthy–Muskingum routing method considering lateral flow. Journal of Hydrology, 523, 489-499. doi:10.1016/j.jhydrol.2015.01.068

PERUMAL, M. (1994). Hydrodynamic derivation of a variable parameter Muskingum method: 1. Theory and solution procedure. Hydrological Sciences Journal, 39(5), 431-442. doi:10.1080/02626669409492766

Perumal, M., E., O., & Raju, K. G. R. (2001). Field Applications of a Variable-Parameter Muskingum Method. Journal of Hydrologic Engineering, 6(3), 196-207. doi:10.1061/(asce)1084-0699(2001)6:3(196)

Perumal, M., & Sahoo, B. (2007). Applicability criteria of the variable parameter Muskingum stage and discharge routing methods. Water Resources Research, 43(5). doi:10.1029/2006wr004909

Gill, M. A. (1978). Flood routing by the Muskingum method. Journal of Hydrology, 36(3-4), 353-363. doi:10.1016/0022-1694(78)90153-1

Tung, Y. (1985). River Flood Routing by Nonlinear Muskingum Method. Journal of Hydraulic Engineering, 111(12), 1447-1460. doi:10.1061/(asce)0733-9429(1985)111:12(1447)

Yoon, J., & Padmanabhan, G. (1993). Parameter Estimation of Linear and Nonlinear Muskingum Models. Journal of Water Resources Planning and Management, 119(5), 600-610. doi:10.1061/(asce)0733-9496(1993)119:5(600)

Mohan, S. (1997). Parameter Estimation of Nonlinear Muskingum Models Using Genetic Algorithm. Journal of Hydraulic Engineering, 123(2), 137-142. doi:10.1061/(asce)0733-9429(1997)123:2(137)

Luo, J., & Xie, J. (2010). Parameter Estimation for Nonlinear Muskingum Model Based on Immune Clonal Selection Algorithm. Journal of Hydrologic Engineering, 15(10), 844-851. doi:10.1061/(asce)he.1943-5584.0000244

Kang, L., & Zhang, S. (2016). Application of the Elitist-Mutated PSO and an Improved GSA to Estimate Parameters of Linear and Nonlinear Muskingum Flood Routing Models. PLOS ONE, 11(1), e0147338. doi:10.1371/journal.pone.0147338

Geem, Z. W. (2006). Parameter Estimation for the Nonlinear Muskingum Model Using the BFGS Technique. Journal of Irrigation and Drainage Engineering, 132(5), 474-478. doi:10.1061/(asce)0733-9437(2006)132:5(474)

Chu, H.-J., & Chang, L.-C. (2009). Applying Particle Swarm Optimization to Parameter Estimation of the Nonlinear Muskingum Model. Journal of Hydrologic Engineering, 14(9), 1024-1027. doi:10.1061/(asce)he.1943-5584.0000070

Barati, R. (2011). Parameter Estimation of Nonlinear Muskingum Models Using Nelder-Mead Simplex Algorithm. Journal of Hydrologic Engineering, 16(11), 946-954. doi:10.1061/(asce)he.1943-5584.0000379

Karahan, H., Gurarslan, G., & Geem, Z. W. (2013). Parameter Estimation of the Nonlinear Muskingum Flood-Routing Model Using a Hybrid Harmony Search Algorithm. Journal of Hydrologic Engineering, 18(3), 352-360. doi:10.1061/(asce)he.1943-5584.0000608

Chen, X. Y., Chau, K. W., & Busari, A. O. (2015). A comparative study of population-based optimization algorithms for downstream river flow forecasting by a hybrid neural network model. Engineering Applications of Artificial Intelligence, 46, 258-268. doi:10.1016/j.engappai.2015.09.010

Latt, Z. Z. (2015). Application of Feedforward Artificial Neural Network in Muskingum Flood Routing: a Black-Box Forecasting Approach for a Natural River System. Water Resources Management, 29(14), 4995-5014. doi:10.1007/s11269-015-1100-1

Niazkar, M., & Afzali, S. H. (2016). Application of New Hybrid Optimization Technique for Parameter Estimation of New Improved Version of Muskingum Model. Water Resources Management, 30(13), 4713-4730. doi:10.1007/s11269-016-1449-9

Kucukkoc, I., & Zhang, D. Z. (2015). Integrating ant colony and genetic algorithms in the balancing and scheduling of complex assembly lines. The International Journal of Advanced Manufacturing Technology, 82(1-4), 265-285. doi:10.1007/s00170-015-7320-y

Bazargan, J., & Norouzi, H. (2018). Investigation the Effect of Using Variable Values for the Parameters of the Linear Muskingum Method Using the Particle Swarm Algorithm (PSO). Water Resources Management, 32(14), 4763-4777. doi:10.1007/s11269-018-2082-6

Ehteram, M., Mousavi, S. F., Karami, H., Farzin, S., Singh, V. P., Chau, K., & El-Shafie, A. (2018). Reservoir operation based on evolutionary algorithms and multi-criteria decision-making under climate change and uncertainty. Journal of Hydroinformatics, 20(2), 332-355. doi:10.2166/hydro.2018.094

Pei, J., Su, Y., & Zhang, D. (2016). Fuzzy energy management strategy for parallel HEV based on pigeon-inspired optimization algorithm. Science China Technological Sciences, 60(3), 425-433. doi:10.1007/s11431-016-0485-8

SCHUMM, S. A. (1956). EVOLUTION OF DRAINAGE SYSTEMS AND SLOPES IN BADLANDS AT PERTH AMBOY, NEW JERSEY. Geological Society of America Bulletin, 67(5), 597. doi:10.1130/0016-7606(1956)67[597:eodsas]2.0.co;2

Baláž, M., Danáčová, M., & Szolgay, J. (2010). On the use of the Muskingum method for the simulation of flood wave movements. Slovak Journal of Civil Engineering, 18(3), 14-20. doi:10.2478/v10189-010-0012-6

Franchini, M., & Lamberti, P. (1994). A flood routing Muskingum type simulation and forecasting model based on level data alone. Water Resources Research, 30(7), 2183-2196. doi:10.1029/94wr00536

Yadav, O. P., Singh, N., Goel, P. S., & Itabashi-Campbell, R. (2003). A Framework for Reliability Prediction During Product Development Process Incorporating Engineering Judgments. Quality Engineering, 15(4), 649-662. doi:10.1081/qen-120018396

Weinmann, P. E., & Laurenson, E. M. (1979). Approximate Flood Routing Methods: A Review. Journal of the Hydraulics Division, 105(12), 1521-1536. doi:10.1061/jyceaj.0005329

Nash, J. E., & Sutcliffe, J. V. (1970). River flow forecasting through conceptual models part I — A discussion of principles. Journal of Hydrology, 10(3), 282-290. doi:10.1016/0022-1694(70)90255-6

Kitanidis, P. K., & Bras, R. L. (1980). Real-time forecasting with a conceptual hydrologic model: 2. Applications and results. Water Resources Research, 16(6), 1034-1044. doi:10.1029/wr016i006p01034

Franchini, M., Bernini, A., Barbetta, S., & Moramarco, T. (2011). Forecasting discharges at the downstream end of a river reach through two simple Muskingum based procedures. Journal of Hydrology, 399(3-4), 335-352. doi:10.1016/j.jhydrol.2011.01.009

Alhumoud, J., & Almashan, N. (2019). Muskingum Method with Variable Parameter Estimation. Mathematical Modelling of Engineering Problems, 6(3), 355-362. doi:10.18280/mmep.060306

Yang, R., Hou, B., Xiao, W., Liang, C., Zhang, X., Li, B., & Yu, H. (2019). The applicability of real-time flood forecasting correction techniques coupled with the Muskingum method. Hydrology Research, 51(1), 17-29. doi:10.2166/nh.2019.128

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