Comparison of mudflow simulation models in an ephemeral mountainous stream in Western Greece using HEC-RAS and FLO-2D

Dimas, Panagiotis; Pouliasis, George; Dimitriadis, Panayiotis; Papanicolaou, Panos; Lazaridou, Serafeina; Michas, Spyridon

doi:10.1007/s41207-023-00409-8

Cited by 2 publications

(2 citation statements)

References 35 publications

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“…(1) The mean z j and the standard deviation S j of assessment metrics will affect the magnitude of variation coefficients simultaneously. Therefore, it is needed to calculate z j and S j firstly, as shown in formula (5).…”

Section: Variation Coefficient Methods (Vcm)mentioning

confidence: 99%

“…The widely used multi-factor superposition methods mainly include entropy weight method (EWM) [3], gray correlation method [4], etc. And the widely used numerical simulation methods mainly include FLO-2D [5], Mass-Flow [6], etc. Combining the multifactor superposition method with numerical simulation methods can obtain more comprehensive assessment results [7].…”

Section: Introductionmentioning

confidence: 99%

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A combination weighting method for debris flow risk assessment based on t-distribution and linear programming optimization algorithm

Li,

Lin,

Qiang

et al. 2024

PLoS ONE

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Debris flow risk assessment can provide some reference for debris flow prevention and control projects. In risk assessment, researchers often only focus on the impact of objective or subjective indicators. For this purpose, this paper proposed a weight calculation method based on t-distribution and linear programming optimization algorithm (LPOA). Taking 72 mudslides in Beichuan County as an example, this paper used analytic hierarchy process (AHP), entropy weight method (EWM) and variation coefficient method (VCM) to obtain the initial weights. Based on the initial weights, weight intervals with different confidence levels were obtained by t-distribution. Subsequently, the final weights were obtained by LOPA in the 90% confidence interval. Finally, the final weights were used to calculate the risk score for each debris flow, thus delineating the level of risk for each debris flow. The results showed that this paper’s method can avoid overemphasizing the importance of a particular indicator compared to EWM and VCM. In contrast, EWM and VCM ignored the effect of debris flow frequency on debris flow risk. The assessment results showed that the 72 debris flows in Beichuan County were mainly dominated by moderate and light risks. Of these, there were 8 high risk debris flows, 24 medium risk debris flows, and 40 light risk debris flows. The excellent triggering conditions provide favorable conditions for the formation of high-risk debris flows. Slightly and moderate risk debris flows are mainly located on both sides of highways and rivers, still posing a minor threat to Beichuan County. The proposed fusion weighting method effectively avoids the limitations of single weight calculating method. Through comparison and data analysis, the rationality of the proposed method is verified, which can provide some reference for combination weighting method and debris flow risk assessment.

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Section: Variation Coefficient Methods (Vcm)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A combination weighting method for debris flow risk assessment based on t-distribution and linear programming optimization algorithm

Li,

Lin,

Qiang

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

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Comparison of FLUMEN and HEC-RAS 2D Models for Flash Flood Inundation in Urban Landscape

Chanjin Jeong,

Sun-Dong Chegal,

Dong-Hyun Kim

et al. 2024

Proc. eng. technol. innov.

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Flood inundation maps play a crucial role in preventing flood damage. Among various numerical models used to generate these maps, the fluvial modeling engine (FLUMEN) and the hydrologic engineering center’s river analysis system (HEC-RAS 2D) are particularly effective for simulating urban floods, which are influenced by complex factors such as buildings and landscapes. This study aims to examine the differences in flood analysis results that may arise from using different numerical models. This study compares the performance of FLUMEN and HEC-RAS 2D in modeling urban flash floods, characterized by local velocity variations and complex geometries. The analysis focuses on their numerical characteristics and simulation accuracy. The simulation results show that HEC-RAS 2D outperforms FLUMEN in handling turbulence, numerical stability, and peak water level predictions. These findings provide insights into the strengths and limitations of each model for urban flood management.

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Comparison of mudflow simulation models in an ephemeral mountainous stream in Western Greece using HEC-RAS and FLO-2D

Cited by 2 publications

References 35 publications

A combination weighting method for debris flow risk assessment based on t-distribution and linear programming optimization algorithm

A combination weighting method for debris flow risk assessment based on t-distribution and linear programming optimization algorithm

Comparison of FLUMEN and HEC-RAS 2D Models for Flash Flood Inundation in Urban Landscape

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