Understanding Suitability of MIKE 21 and HEC-RAS for 2D Floodplain Modeling

Shrestha, Alen; Bhattacharjee, Linkon; Baral, Sudip; Thakur, Balbhadra; Joshi, Neekita; Kalra, Ajay; Gupta, Ritu

doi:10.1061/9780784482971.024

Cited by 32 publications

(16 citation statements)

References 29 publications

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“…Climate variability exhibits strong signals, mainly resulting from Sea Surface Temperature (SST) variability in hydroclimatic variables, including precipitation, temperature, groundwater, Terrestrial Water Storage (TWS), snow water equivalent, and streamflow. Hydroclimatic variables are essential elements of climate-related studies, natural disasters [1], and play a key role in the hydrological cycle [2,3]. These are documented to have a close association with low-frequency climate variability-the El Niño Southern Oscillation (ENSO) that occurs in the equatorial Pacific Ocean [4][5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Land–Ocean–Atmosphere Influences on Groundwater Variability in the South Atlantic–Gulf Region

2020

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Climate association between Groundwater Storage (GWS) and sea level changes have been missing from the Intergovernmental Panel on Climate Change, demanding a requisite study of their linkage and responses. Variability in the Hydrologic Unit Code—03 region, i.e., one of the major U.S. watersheds in the southeast caused by Sea Surface Temperature (SST) variability in the Pacific and Atlantic Ocean, was identified. Furthermore, the SST regions were identified to assess its relationship with GWS, sea level, precipitation, and terrestrial water storage. Temporal and spatial variability were obtained utilizing the singular value decomposition statistical method. A gridded GWS anomaly from the Gravity Recovery and Climate Experiment (GRACE) was used to understand the relationship with sea level and SST. The negative pockets of SST were negatively linked with GWS. The identification of teleconnections with groundwater may substantiate temporal patterns of groundwater variability. The results confirmed that the SST regions exhibited El Niño Southern Oscillation patterns, resulting in GWS changes. Moreover, a positive correlation between GWS and sea level was observed on the east coast in contrast to the southwestern United States. The findings highlight the importance of climate-driven changes in groundwater attributing changes in sea level. Therefore, SST could be a good predictor, possibly utilized for prior assessment of variabilities plus groundwater forecasting.

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Section: Introductionmentioning

confidence: 99%

Land–Ocean–Atmosphere Influences on Groundwater Variability in the South Atlantic–Gulf Region

2020

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“…MIKE 21 is a professional engineering software that contains a comprehensive modeling system for computer programs for 2D free-surface flow that uses the basic Navier-Stokes Equation. This application can model hydraulic simulations and related phenomena in rivers, lakes, bays, beaches, and seas (Shrestha et al, 2020;Symonds et al, 2017). In this case, we simulated the hydrodynamic flow model first.…”

Section: Governing Equationmentioning

confidence: 99%

Particle Tracking Model Approach for Analyzing Crude Oil Spill (Palm Fatty Acid Distillate) in Bayur Bay Based on Navier Stokes Discrete

2021

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Oil spilled in the marine ecosystem may be induced by some sources which alter over time and location. Oil leakage from offshore oil drilling, underwater oil pipeline leakage, etc., are the possible source of oil spill pollution. Marine pollution generated by oil spilling occurred in Padang City in 2017. Palm Fatty Acid Distillate (PFAD) spilled within Bayur Bay Harbor due to a leaking storage tank. As much as 50 tons of PFAD overflowed and commenced to pollute Bayur coastal bay. This study aimed to determine the distribution pattern of oil spills throughout the Bayur Bay based on a hydrodynamical model. We employed some oceanographic data and PFAD characteristics obtained directly from survey results. We simulated the particle tracking model for 30 days since the PFAD spilled within the port. The model developed applied the Least Square method to analyze tidal data and a flexible mesh as a model basis, while the governing equation used is Navier Stoke discrete. During a month of simulation, the dominant particles' distribution is still spinning around the Bayur Bay due to the weak current characteristics with the magnitude ranging from 0.02-0.06 m/s. The lighter PFAD particle mass tended to move faster throughout the bay and settled in the coastal area. It will pollute the coastal system even though it is going to be decomposed chemically in the sediment.

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“…While, the hydrodynamic models and in particular 2D models were the most used tools to simulate flood hydrodynamics, flood extent, flood forecasting and scenario analysis (Teng et al, 2017) because they simulate features in x and y directions at every mesh point interval, and take fewer computation times as compared to 3D model (X. Liu & Lim, 2017;Shrestha et al, 2020;Yu, 2017). Further, flood hydrodynamic modelling has significantly improved with the advanced approaches including digital elevation models (DEMs).…”

Section: Introductionmentioning

confidence: 99%

“…For instance, Karim and Mimura (2008) studied the influences of sea-level rise (SLR) on storm surge flooding in Western Bangladesh and hydrodynamic model simulation showed that for a storm surge under 0.3m SLR, the flooded area would enlarge by 15.3% of the current flooded area. Similarly, studies showed that higher resolution DEMs represents more exact terrain features which leads to more precise floodplain assessment and coarser-resolution DEMs over-predicted the extents of flood and caused substantial precision loss (Shrestha et al, 2020). However, there is no systematic framework for considering all the relevant flooding modelling parameters for effective flood assessment.…”

Section: Introductionmentioning

confidence: 99%

Modelling the compound flood hydrodynamics under mesh convergence and future storm surge events in Brisbane River Estuary, Australia

Khalil

Yang

Sivakumar

et al. 2022

Preprint

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Abstract. Floods are the most common and destructive disasters around the globe, which becomes more challenging in coastal areas due to higher population density and catchment areas relative to floods in an inland area. For effective coastal flood management to reduce flood adverse impacts it is necessary to investigate the flooding processes and their joint interaction in a coastal area. This paper selected the Brisbane River Estuary, Australia as an example, and the MIKE 21 model is applied to investigate the effects of mesh resolution on the flood discharge and to explores compound flooding by computing variances in coastal flood assessments resulting from a separation of tidal and riverine processes. The statistical results showed that the Nash-Sutcliffe coefficient, E of water level are varied from 0.84 to 0.95 and the model simulated the 2011 flood extent results agreed with 90 % accuracy with the observed flood extent. Five mesh resolutions cases were analyzed and the result found that the finer mesh resolution Case 5 was more appropriate for calculating the peak discharge with 2.7 % with estimated discharge. Compound flood event simulation results emphasized that not considering the interaction of various flooding drivers caused 0.62 m and 0.12 m reduction in the flood levels at Jindalee and Brisbane city gauges, and uncertainties in flood extent. Simulated results of flood at Brisbane city gauge, showed that 2011 and 2013 floods with storm surge scenario 4 demonstrate, the increase in flood level to be 12 % and 34 % respectively. The results recommend flooding assessment by using mesh convergence with joint probability of compound flood under future storm surge for planning and management of coastal projects.

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Understanding Suitability of MIKE 21 and HEC-RAS for 2D Floodplain Modeling

Cited by 32 publications

References 29 publications

Land–Ocean–Atmosphere Influences on Groundwater Variability in the South Atlantic–Gulf Region

Land–Ocean–Atmosphere Influences on Groundwater Variability in the South Atlantic–Gulf Region

Particle Tracking Model Approach for Analyzing Crude Oil Spill (Palm Fatty Acid Distillate) in Bayur Bay Based on Navier Stokes Discrete

Modelling the compound flood hydrodynamics under mesh convergence and future storm surge events in Brisbane River Estuary, Australia

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