Flood inundation mapping in small and ungauged basins: sensitivity analysis using the EBA4SUB and HEC-RAS modeling approach

Vojtek, Matej; Petroselli, Andrea; Vojteková, Jana; Asgharinia, Shahla

doi:10.2166/nh.2019.163

Cited by 59 publications

(24 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, because of a strongly interconnected rainfall-runoff process, as well as a rapid advancement of computational technology and the availability of high-resolution topographic data [3], pluvial floods are now simulated using integrated hydrological-hydraulic methods consisting of time-dependent 2D models and so-called rain-on-grid approaches [2,[4][5][6][7]. However, a reliable flood prediction in small ungauged catchments remains difficult because of the lack of field observations needed to calibrate models [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

“…The event based methods are more widely adopted and applied in engineering practice because of their simplicity, the availability of rainfall event data, and less computational time needed to perform the simulations. However, in event based approaches, one of the main sources of uncertainty is the hydrological data [10,12,14]. In particular, the rainfall input data, usually defined as a hyetograph-a temporal distribution of rainfall intensities-directly affects the runoff and corresponding water depths, water velocities, and flow rates [15,16].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of Design Storms and Critical Rainfall Durations for Flood Prediction in Partially Urbanized Catchments

Krvavica

Rubinić

2020

Water

View full text Add to dashboard Cite

This study investigates and compares several design storms for flood estimation in partially urbanized catchments. Six different design storms were considered: Euler II, alternating block method, average variability method, Huff’s curves, and uniform rainfall. Additionally, two extreme historical storms were included for comparison. A small, ungauged, partially urbanized catchment in Novigrad (Croatia) was chosen as a study area to account for the infiltration impact on the rainfall-runoff process. The performance of each design storm was assessed based on the flood modeling results, namely the water depth, water velocity, flow rate, and overall flood extent. Furthermore, several rainfall durations were considered to identify a critical scenario. The excess rainfall was computed using the Soil Conservation Service’s Curve Number method, and two-dimensional flooding simulations were performed by the HEC-RAS model. The results confirmed that the choice of the design storm and the rainfall duration has a significant impact on the flood modeling results. Overall, design storms constructed only from IDF curves overestimated flooding in comparison to historical events, whereas design storms derived from the analysis of observed temporal patterns matched or slightly underestimated the flooding results. Of the six considered design storms, the average variability method showed the closest agreement with historical storms.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation of Design Storms and Critical Rainfall Durations for Flood Prediction in Partially Urbanized Catchments

Krvavica

Rubinić

2020

Water

View full text Add to dashboard Cite

show abstract

“…Determination coefficient of this equation is found as R 2 = 0.57, which is smaller than the Manning's n relation. As mentioned above, this difference occurs because of roughness generalisation in the HEC-RAS model, difficulties of micro patches modelling [28] and also irregularities present in the river [13].…”

Section: Resultsmentioning

confidence: 99%

“…Therefore, several aspects related to inertia, diffusive and kinematic waves are neglected in Manning's equation [11]. Hydraulic models like HEC-RAS provide access to quickly modify the critical parameters, such as Manning's n, by also performing sensitivity analysis, thus assessing the importance of each parameter and providing water surface elevations close to the observed one [12,13]. The understanding of the river's hydraulic behaviour has been significantly enhanced in recent years thanks to computer programs that simulate the hydraulic behaviour and other river's related processes as well.…”

Section: Introductionmentioning

confidence: 99%

Calibration of channel roughness in intermittent rivers using HEC-RAS model: case of Sarimsakli creek, Turkey

Ardıçlıoğlu¹,

Kuriqi

2019

SN Appl. Sci.

View full text Add to dashboard Cite

Natural channel's roughness determination constitutes one the most challenging procedure towards the development of hydraulic models for flood prediction and flood hazard mapping. Therefore, it is essential to calibrate and validate the channel's Manning's n roughness coefficient using simulation models. In this study, we calibrated and validated Manning's n roughness coefficient using HEC-RAS for Sarimsakli creek that is tributary of the Kizilirmak river in central Anatolia, Turkey. For calibration of Manning's n-values, six different flow regimes were considered based on mean daily flow records between 2005 and 2010. We found that calculated water surface profiles for different Manning's n are slightly lower than the measured one, that indicates a continuous underestimation of the roughness coefficient n by the model. Therefore, our results suggest that higher values of Manning's n should be considered in case of the intermittent rivers. A polynomial relationship was proposed between roughness values and Froude numbers. Finally, a linear relation was established between calculated and measured Manning's n roughness coefficient. Nevertheless, results showed that careful attention should be given to higher n-values because the differences between HEC-RAS and Manning's n becomes larger. Solution-oriented results obtained and the methodology applied to the Sarimsakli creek may serve as a practical reference for HEC-RAS modelling and flood prediction in intermittent rivers. Keywords Ecohydraulics • Flood risk • Flooding • Hydraulic model • Riparian vegetation • River restoration List of symbols HEC-RAS River Analysis System (RAS) developed by Hydrologic Engineering Center (HEC) of U.S. Army Corps of Engineers 1D/2D One dimensional/two dimensional n Manning's roughness coefficient (s/m 1/3) Q Flow discharge (m 3 s −1) V Flow velocity (m s −1) A Submerged cross-section's area (m 2) R Hydraulic radius (m) P Wetted perimeter (m) S ws Water surface slope (m/m) Fr Froude number (−) g Gravitational acceleration (ms −2) S Friction slope (m/m) ε Average difference (%) h meas Measured depth (m) h calc Calculated depth (m) S o Channel bottom slope (m/m) S f Friction slope (m/m) t Time (s) q l Lateral inflow (m 3 s −1) x Longitudinal coordinate (m)

show abstract

“…land use, land cover, DEM, soil, river network, and slop). Mostly, coupling GIS and hydraulic models (Haidu, 2016) have been recommended for studying flood analysis and flood prediction (Győri et al, 2016;Haidu et al, 2017;Vojtek et al, 2019). A combination of GIS (Geographic Information System) and HEC-RAS (Hydrologic Engineering Center-River Analysis System) has a great capability in the simulation of flood hazard maps.…”

Section: Introductionmentioning

confidence: 99%

Gis-Based Flood Hazard Mapping Using Hec-Ras Model: A Case Study of Lower Mekong River, Cambodia

Kim¹,

Tantanee²,

Suparta³

2020

View full text Add to dashboard Cite

Rivers are the main water sources for human and animals' lives. Unfortunately, they have been frequently damaged by flooding. Flooding has affected and threatened not only human's lives and infrastructures but also the environmental capital. This study aims to determine the application of flood frequency analysis integrated with the GIS and HEC-RAS models to prepare a multi-return period flood hazard map in the Lower Mekong River of Cambodia. A 30-year peak discharge (Kampong Cham gauging station) with a multireturn period of 10, 20, 50, and 100-years was estimated by using four distributions analysis. An EasyFit software is used to test the best distribution for the input of the HEC-RAS model to prepare the estimation of the corresponding floodplain areas. The results showed that Log-Pearson III distribution analysis of the return period of 10, 20, 50, 100 years is the best fits with the 52,208 m 3 /s, 54,990 m 3 /s, 59,381 m 3 /s, and 62,194 m 3 /s, respectively. The HEC-RAS calibration indicated a good agreement with observed data discharge 2011 and 2013. While the simulation model shows the return period of floods 10 and 20 years for the predicted depth of flooding is stable compared to the flood peaks of 2011 and 2013 discharges, but the conditions of other flood return periods are not stable. Overall, HEC-RAS with its flood hazard map is a model that can estimate the level of flood depth in the Lower Mekong River, Cambodia and is useful in providing information about the depth and characteristics of floods for river communities.

show abstract

Flood inundation mapping in small and ungauged basins: sensitivity analysis using the EBA4SUB and HEC-RAS modeling approach

Cited by 59 publications

References 39 publications

Evaluation of Design Storms and Critical Rainfall Durations for Flood Prediction in Partially Urbanized Catchments

Evaluation of Design Storms and Critical Rainfall Durations for Flood Prediction in Partially Urbanized Catchments

Calibration of channel roughness in intermittent rivers using HEC-RAS model: case of Sarimsakli creek, Turkey

Gis-Based Flood Hazard Mapping Using Hec-Ras Model: A Case Study of Lower Mekong River, Cambodia

Contact Info

Product

Resources

About