Hydrodynamic modelling of historical flood event using one dimensional HEC-RAS in Kelantan basin, Malaysia

Abstract Hydraulic simulation models are critical tools for analysing the hydraulic properties of a river’s system flow. The work focuses on the simulation of a river flow in a Kelantan basin using the one-dimensional (1D) Hydrologic Engineering Center - River Analysis System (HECRAS). In the present study, cross-sections from survey data were utilised into the RAS Mapper provided in HEC-RAS 5.0 to simulate the river flow in the region. This study highlights the modelling methodology with a focus on data collection and its importance during the calibration and validation process. The model was used to discover the expected peak flood levels based on historical flood events. Simulated flows were utilised to examine the potential of the model during the model development procedure. The simulation outcomes reveal that the simulated flows are in excellent agreement during the model development as the obtained R2 value was between 0.95 to 1.0 during both model calibration and validation. This demonstrates the applicability of the HEC-RAS 1D model in simulating precise river flow, especially for flood events.

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Minimisation of Overestimation of River Flows in 1D- Hydrodynamic Modeling

10.21203/rs.3.rs-654833/v1 ◽

2021 ◽

Author(s):

Komal Vashist ◽

K. K. Singh

Keyword(s):

Cross Section ◽

Cross Sections ◽

River Flow ◽

Model Performance ◽

Mean Square ◽

Hydrodynamic Models ◽

One Dimensional ◽

Index Of Agreement ◽

Error Index ◽

River Cross Section

Abstract One-dimensional hydrodynamic models overestimate river cross-section derived from freely available SRTM DEMs. The present study aims to minimize the overestimation of river flow. DEM-extracted cross-sections obtained from 30 m and 90 m resolutions show higher elevation values than the actual river cross sections of Krishna and Bhima rivers, India. To minimize the overestimation of the river flow, DEM-extracted cross-sections are modified using known cross-section of the river. The corrections for cross sections extracted from DEM, are obtained by subtracting the DEM-derived cross-sections from a known cross-section of the river. Monsoons flows that occurred in years 2006 and 2009 in Krishna and Bhimariver have been used for modeling. The MIKE HYDRO River model performance with modified DEM-extracted cross-sections of river improves as the correlation coefficient, root mean square error, index of agreement, Nash Sutcliffe efficiency & Percentage deviation in peak (%) values are improved.

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One Dimensional Hydrodynamic Modeling of River Flow Using DEM Extracted River Cross-sections

Water Resources Management ◽

10.1007/s11269-009-9474-6 ◽

2009 ◽

Vol 24 (5) ◽

pp. 835-852 ◽

Cited By ~ 46

Author(s):

Niranjan Pramanik ◽

Rabindra Kumar Panda ◽

Dhrubajyoti Sen

Keyword(s):

Cross Sections ◽

River Flow ◽

Hydrodynamic Modeling ◽

One Dimensional

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Laboratory study and computer model development related to gross solids' movement in combined sewers

Water Science & Technology ◽

10.2166/wst.1996.0172 ◽

1996 ◽

Vol 33 (9) ◽

pp. 39-47 ◽

Cited By ~ 2

Author(s):

John W. Davies ◽

Yanli Xu ◽

David Butler

Keyword(s):

Computer Simulation ◽

Pipe Flow ◽

Model Development ◽

Simulation Models ◽

Laboratory Studies ◽

Pilot Model ◽

Sewer Systems ◽

Flow Quality ◽

Computer Simulation Models ◽

Theoretical Considerations

Significant problems in sewer systems are caused by gross solids, and there is a strong case for their inclusion in computer simulation models of sewer flow quality. The paper describes a project which considered methods of modelling the movement of gross solids in combined sewers. Laboratory studies provided information on advection and deposition of typical gross solids in part-full pipe flow. Theoretical considerations identified aspects of models for gross solids that should differ from those for dissolved and fine suspended pollutants. The proposed methods for gross solids were incorporated in a pilot model, and their effects on simple simulations were considered.

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Performance Modeling of Desiccant Wheels: 1 — Model Development

ASME 2008 2nd International Conference on Energy Sustainability, Volume 2 ◽

10.1115/es2008-54185 ◽

2008 ◽

Cited By ~ 6

Author(s):

Chaoqin Zhai ◽

David H. Archer ◽

John C. Fischer

Keyword(s):

Model Development ◽

Axial Direction ◽

Performance Model ◽

Design Parameters ◽

Residual Water ◽

One Dimensional ◽

Operating Variables ◽

Steady State Operation ◽

Rotary Speed ◽

The Impact

This paper presents the development of an equation based model to simulate the combined heat and mass transfer in the desiccant wheels. The performance model is one dimensional in the axial direction. It applies a lumped formulation in the thickness direction of the desiccant and the substrate. The boundary conditions of this problem represent the inlet outside/process and building exhaust/regeneration air conditions as well as the adiabatic condition of the two ends of the desiccant composite. The solutions of this model are iterated until the wheel reaches periodic steady state operation. The modeling results are obtained as the changes of the outside/process and building exhaust/regeneration air conditions along the wheel depth and the wheel rotation. This performance model relates the wheel’s design parameters, such as the wheel dimension, the channel size and the desiccant properties, and the wheel’s operating variables, such as the rotary speed and the regeneration air flowrate, to its operating performance. The impact of some practical issues, such as wheel purge, residual water in the desiccant and the wheel supporting structure, on the wheel performance has also been investigated.

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A one-dimensional moving grid solution for the coupled non-linear equations governing multiphase flow in porous media. 1: Model development

International Journal for Numerical Methods in Fluids ◽

10.1002/fld.1650140104 ◽

1992 ◽

Vol 14 (1) ◽

pp. 25-45 ◽

Cited By ~ 5

Author(s):

Amir Gamliel ◽

Linda M. Abriola

Keyword(s):

Porous Media ◽

Multiphase Flow ◽

Linear Equations ◽

Model Development ◽

Flow In Porous Media ◽

Moving Grid ◽

One Dimensional ◽

Non Linear ◽

Grid Solution ◽

Non Linear Equations

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A Synoptic Weather Typing Approach to Simulate Daily Rainfall and Extremes in Ontario, Canada: Potential for Climate Change Projections

Journal of Applied Meteorology and Climatology ◽

10.1175/2010jamc2016.1 ◽

2010 ◽

Vol 49 (5) ◽

pp. 845-866 ◽

Cited By ~ 19

Author(s):

Chad Shouquan Cheng ◽

Guilong Li ◽

Qian Li ◽

Heather Auld

Keyword(s):

Model Development ◽

Daily Rainfall ◽

Simulation Models ◽

Rainfall Simulation ◽

Rainfall Events ◽

Logit Regression ◽

Synoptic Weather ◽

Weather Typing ◽

Synoptic Weather Typing ◽

Cumulative Logit

Abstract An automated synoptic weather typing and stepwise cumulative logit/nonlinear regression analyses were employed to simulate the occurrence and quantity of daily rainfall events. The synoptic weather typing was developed using principal component analysis, an average linkage clustering procedure, and discriminant function analysis to identify the weather types most likely to be associated with daily rainfall events for the four selected river basins in Ontario. Within-weather-type daily rainfall simulation models comprise a two-step process: (i) cumulative logit regression to predict the occurrence of daily rainfall events, and (ii) using probability of the logit regression, a nonlinear regression procedure to simulate daily rainfall quantities. The rainfall simulation models were validated using an independent dataset, and the results showed that the models were successful at replicating the occurrence and quantity of daily rainfall events. For example, the relative operating characteristics score is greater than 0.97 for rainfall events with daily rainfall ≥10 or ≥25 mm, for both model development and validation. For evaluation of daily rainfall quantity simulation models, four correctness classifications of excellent, good, fair, and poor were defined, based on the difference between daily rainfall observations and model simulations. Across four selected river basins, the percentage of excellent and good simulations for model development ranged from 62% to 84% (of 20 individuals, 16 cases ≥ 70%, 7 cases ≥ 80%); the corresponding percentage for model validation ranged from 50% to 76% (of 20 individuals, 15 cases ≥ 60%, 6 cases ≥ 70%).

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Extraction of cross sections from digital elevation model for one‐dimensional dam‐break wave propagation in mountain valleys

Water Resources Research ◽

10.1002/2015wr017017 ◽

2016 ◽

Vol 52 (1) ◽

pp. 52-68 ◽

Cited By ~ 5

Author(s):

Marco Pilotti

Keyword(s):

Wave Propagation ◽

Digital Elevation Model ◽

Cross Sections ◽

Dam Break ◽

One Dimensional ◽

Digital Elevation ◽

Elevation Model

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Cannonsville Reservoir Watershed SWAT2000 model development, calibration and validation

Journal of Hydrology ◽

10.1016/j.jhydrol.2007.01.017 ◽

2007 ◽

Vol 337 (1-2) ◽

pp. 68-86 ◽

Cited By ~ 94

Author(s):

Bryan A. Tolson ◽

Christine A. Shoemaker

Keyword(s):

Model Development ◽

Calibration And Validation ◽

Reservoir Watershed

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Improvement of the SWAT model for event-based flood simulation on a sub-daily timescale

Hydrology and Earth System Sciences ◽

10.5194/hess-22-5001-2018 ◽

2018 ◽

Vol 22 (9) ◽

pp. 5001-5019 ◽

Cited By ~ 11

Author(s):

Dan Yu ◽

Ping Xie ◽

Xiaohua Dong ◽

Xiaonong Hu ◽

Ji Liu ◽

...

Keyword(s):

Swat Model ◽

Human Society ◽

Flood Events ◽

Flood Simulation ◽

Calibration And Validation ◽

Event Model ◽

Flood Period ◽

Simulation Results ◽

Event Based

Abstract. Flooding represents one of the most severe natural disasters threatening the development of human society. A model that is capable of predicting the hydrological responses in watershed with management practices during flood period would be a crucial tool for pre-assessment of flood reduction measures. The Soil and Water Assessment Tool (SWAT) is a semi-distributed hydrological model that is well capable of runoff and water quality modeling under changed scenarios. The original SWAT model is a long-term yield model. However, a daily simulation time step and a continuous time marching limit the application of the SWAT model for detailed, event-based flood simulation. In addition, SWAT uses a basin level parameter that is fixed for the whole catchment to parameterize the unit hydrograph (UH), thereby ignoring the spatial heterogeneity among the sub-basins when adjusting the shape of the UHs. This paper developed a method to perform event-based flood simulation on a sub-daily timescale based on SWAT2005 and simultaneously improved the UH method used in the original SWAT model. First, model programs for surface runoff and water routing were modified to a sub-daily timescale. Subsequently, the entire loop structure was broken into discrete flood events in order to obtain a SWAT-EVENT model in which antecedent soil moisture and antecedent reach storage could be obtained from daily simulations of the original SWAT model. Finally, the original lumped UH parameter was refined into a set of distributed ones to reflect the spatial variability of the studied area. The modified SWAT-EVENT model was used in the Wangjiaba catchment located in the upper reaches of the Huaihe River in China. Daily calibration and validation procedures were first performed for the SWAT model with long-term flow data from 1990 to 2010, after which sub-daily (Δt=2 h) calibration and validation in the SWAT-EVENT model were conducted with 24 flood events originating primarily during the flood seasons within the same time span. Daily simulation results demonstrated that the SWAT model could yield very good performances in reproducing streamflow for both whole year and flood period. Event-based flood simulation results simulated by the sub-daily SWAT-EVENT model indicated reliable performances, with ENS values varying from 0.67 to 0.95. The SWAT-EVENT model, compared to the SWAT model, particularly improved the simulation accuracies of the flood peaks. Furthermore, the SWAT-EVENT model results of the two UH parameterization methods indicated that the use of the distributed parameters resulted in a more reasonable UH characterization and better model fit compared to the lumped UH parameter.

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