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Hydrological Sciences Journal Volume 63, 2018 - Issue 3
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Original Articles

Real-time assimilation of streamflow observations into a hydrological routing model: effects of model structures and updating methods

Maurizio MazzoleniDepartment of Integrated Water Systems and Governance, IHE-Delft, Institute for Water Education, Delft, The NetherlandsView further author information
,
Seong Jin NohDepartment of Civil Engineering, University of Texas at Arlington, Arlington, TX, USACorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0002-2683-7269View further author information
ORCID Icon,
Haksu LeeLEN Technologies, Oak Hill, VA, USAView further author information
,
Yuqiong LiuLEN Technologies, Oak Hill, VA, USAView further author information
,
Dong-Jun SeoDepartment of Civil Engineering, University of Texas at Arlington, Arlington, TX, USAView further author information
,
Alessandro AmarantoDepartment of Integrated Water Systems and Governance, IHE-Delft, Institute for Water Education, Delft, The Netherlands;Biological System Engineering Department, University of Nebraska-Lincoln, Lincoln, NE, USAView further author information
,
Leonardo AlfonsoDepartment of Integrated Water Systems and Governance, IHE-Delft, Institute for Water Education, Delft, The NetherlandsView further author information
&
Dimitri P. SolomatineDepartment of Integrated Water Systems and Governance, IHE-Delft, Institute for Water Education, Delft, The Netherlands;Water Resources Section, Delft University of Technology, Delft, The NetherlandsView further author information
 show all
Pages 386-407 | Received 24 Apr 2017, Accepted 20 Dec 2017, Published online: 15 Feb 2018

Citations (22)

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Read on this site (2)

Sadegh Vanda & Mohammad Javad Abedini. (2022) Identifying potential systemic changes in a regulated river: a diagnostic methodology based on whiteness property of innovation sequences. Hydrological Sciences Journal 67:13, pages 1954-1970.
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Maria Clara Fava, Maurizio Mazzoleni, Narumi Abe, Eduardo Mario Mendiondo & Dimitri P. Solomatine. (2020) Improving flood forecasting using an input correction method in urban models in poorly gauged areas. Hydrological Sciences Journal 65:7, pages 1096-1111.
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Articles from other publishers (20)

I. I. Omran, M. A. A. Kadim & N. H. Al-Saati. (2023) Estimation of Muskingum's equation parameters using various numerical approaches: flood routing by Muskingum's equation. International Journal of Environmental Science and Technology 21:1, pages 857-866.
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Harold Llauca, Miguel Arestegui & Waldo Lavado-Casimiro. (2023) Constraining Flood Forecasting Uncertainties through Streamflow Data Assimilation in the Tropical Andes of Peru: Case of the Vilcanota River Basin. Water 15:22, pages 3944.
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Behmard Sabzipour, Richard Arsenault, Magali Troin, Jean-Luc Martel & François Brissette. (2023) Sensitivity analysis of the hyperparameters of an ensemble Kalman filter application on a semi-distributed hydrological model for streamflow forecasting. Journal of Hydrology 626, pages 130251.
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Y. Oğulcan DoğanA. Arda ŞormanAynur Şensoy. (2023) Multi-criteria evaluation for parameter uncertainty assessment and ensemble runoff forecasting in a snow-dominated basin. Journal of Hydrology and Hydromechanics 71:3, pages 231-247.
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Aryan Salvati, Alireza Moghaddam Nia, Ali Salajegheh, Parham Moradi, Yazdan Batmani, Shahabeddin Najafi, Ataollah Shirzadi, Himan Shahabi, Akbar Sheikh-Akbari, Changhyun Jun & John J. Clague. (2023) Performance improvement of the linear muskingum flood routing model using optimization algorithms and data assimilation approaches. Natural Hazards 118:3, pages 2657-2690.
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Okan Mert Katipoğlu & Metin Sarıgöl. (2023) Coupling machine learning with signal process techniques and particle swarm optimization for forecasting flood routing calculations in the Eastern Black Sea Basin, Türkiye. Environmental Science and Pollution Research 30:16, pages 46074-46091.
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Sharannya Thalli Mani, Venkatesh Kolluru, Mahesha Amai & Tri Dev Acharya. (2022) Enhanced streamflow simulations using nudging based optimization coupled with data-driven and hydrological models. Journal of Hydrology: Regional Studies 43, pages 101190.
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Francesco Avanzi, Simone Gabellani, Fabio Delogu, Francesco Silvestro, Edoardo Cremonese, Umberto Morra di Cella, Sara Ratto & Hervé Stevenin. (2022) Snow Multidata Mapping and Modeling (S3M) 5.1: a distributed cryospheric model with dry and wet snow, data assimilation, glacier mass balance, and debris-driven melt. Geoscientific Model Development 15:12, pages 4853-4879.
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Yixin Huang, Zhongmin Liang, Vijay P. Singh, Yiming Hu, Binquan Li & Jun Wang. (2022) A Coupled Dynamic System Inversion Model for Higher Accuracy in Flood Forecasting. Water Resources Research 58:2.
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M A Kadhim, N K Al-Bedyry & I I Omran. (2022) Evaluation of Flood Routing Models and Their Relationship to The Hydraulic Properties of The Diyala River Bed. IOP Conference Series: Earth and Environmental Science 961:1, pages 012058.
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Sunghee Kim, Haojing Shen, Seongjin Noh, Dong-Jun Seo, Edwin Welles, Erik Pelgrim, Albrecht Weerts, Eric Lyons & Brenda Philips. (2021) High-resolution modeling and prediction of urban floods using WRF-Hydro and data assimilation. Journal of Hydrology 598, pages 126236.
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Behzad Nazari & Dong-Jun Seo. (2021) Analytical solution for nonlinear hydrologic routing with general power-law storage function. Journal of Hydrology 598, pages 126203.
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Mehdi Khaki & Joseph Awange. (2021) The 2019–2020 Rise in Lake Victoria Monitored from Space: Exploiting the State-of-the-Art GRACE-FO and the Newly Released ERA-5 Reanalysis Products. Sensors 21:13, pages 4304.
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Guoli Song, Shun Su, Yingli Li, Xingang Zhao, Huibin Du, Jianda Han & Yiwen Zhao. (2020) A Closed-Loop Framework for the Inverse Kinematics of the 7 Degrees of Freedom Manipulator. Robotica 39:4, pages 572-581.
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Joseph AwangeJoseph Awange. 2021. The Nile Waters. The Nile Waters 211 230 .
Mehdi Khaki & Joseph Awange. (2020) Altimetry-derived surface water data assimilation over the Nile Basin. Science of The Total Environment 735, pages 139008.
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Alexandre M.J.-C. Wadoux, Gerard B.M. Heuvelink, Remko Uijlenhoet & Sytze de Bruin. (2020) Optimization of rain gauge sampling density for river discharge prediction using Bayesian calibration. PeerJ 8, pages e9558.
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Ruixiang Yang, Baodeng Hou, Weihua Xiao, Chuan Liang, Xuelei Zhang, Baoqi Li & Haiying Yu. (2020) The applicability of real-time flood forecasting correction techniques coupled with the Muskingum method. Hydrology Research 51:1, pages 17-29.
Crossref
M. Mazzoleni, Leonardo Alfonso & D. P. Solomatine. 2021. ICT for Smart Water Systems: Measurements and Data Science. ICT for Smart Water Systems: Measurements and Data Science 209 234 .
Mohammad Ehteram, Faridah Binti Othman, Zaher Mundher Yaseen, Haitham Abdulmohsin Afan, Mohammed Falah Allawi, Marlinda Bt. Abdul Malek, Ali Najah Ahmed, Shamsuddin Shahid, Vijay P. Singh & Ahmed El-Shafie. (2018) Improving the Muskingum Flood Routing Method Using a Hybrid of Particle Swarm Optimization and Bat Algorithm. Water 10:6, pages 807.
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