Automating HEC-RAS and Linking with Particle Swarm Optimizer to Calibrate Manning’s Roughness Coefficient

Shahverdi, Kazem; Talebmorad, Hossein

doi:10.1007/s11269-022-03422-8

Cited by 5 publications

(1 citation statement)

References 21 publications

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“…A similar method was used to calibrate the Manning's roughness coefficient in the Thiba main canal reach in the Mwea irrigation scheme in Kenya [20]. Shahverdi and Talebmorad [21] automated the HEC-RAS using the HECRAS controller and linked it with the particle swarm optimizer to calibrate the Manning's roughness coefficient in the Asad-Abad plain of Hamedan province in Iran.…”

Section: Introductionmentioning

confidence: 99%

Developing Internal and External Proportional Integral Derivative Water Surface Controller in HEC-RAS

Shahverdi,

Noorali,

Ghodousi

et al. 2024

Water

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Controlling the water level in irrigation channels is important for the efficient management of irrigation and water delivery. In this study, the proportional–integral–derivative (PID) controller was implemented in both the HEC-RAS boundary condition, as an internal model, and MATLAB, as an external model. In the latter, the Hydrologic Engineering Center’s (HEC) River Analysis System (HEC-RAS) model was automated for irrigation canals by coding in the MATLAB script. To test the new models, E1R1 (first right bank branch of the first eastern canal in the Dez irrigation network, Khuzestan Province, Iran) irrigation canal data were prepared in HEC-RAS. A flow pattern was provided to simulate the canal water levels. The results showed efficient control of the water level for both models. The maximum and average water depth deviations from the target value were 13% and 4%, respectively, which fall in the good agreement range. The fewer these indicators, the better the performance is. The efficiency and adequacy were close to the ideal value and in the good agreement classes. The equity indicator was 0.013, which is very close to its ideal value of zero, showing efficient water distribution in the tested system. According to the literature for the equity indicator, a range of 0–0.10 is good, a range of 0.11–0.25 is fair, and a range of greater than 0.25 is poor. The results showed that simple and fast implementation is the main advantage of the internal model; however, it is not suitable for implementing complex controllers. Conversely, the external model can be implemented for complicated algorithms without any limitations.

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Section: Introductionmentioning

confidence: 99%

Developing Internal and External Proportional Integral Derivative Water Surface Controller in HEC-RAS

Shahverdi,

Noorali,

Ghodousi

et al. 2024

Water

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Modeling flood hazard impacts using GIS-based HEC-RAS technique towards climate risk in Şanlıurfa, Türkiye

Guven,

Yenigun,

Isinkaralar

et al. 2024

Nat Hazards

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Analysing the Impact of Land Subsidence on the Flooding Risk: Evaluation Through InSAR and Modelling

Navarro-Hernández

Valdés-Abellán

Tomás

et al. 2023

Water Resour Manage

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Floods greatly impact human settlements in flood risk areas, such as floodplains and coastal lowlands, following heavy rainfall. The Alto Guadalentin valley, an orogenic tectonic depression, experiences extreme flash floods and land subsidence due to groundwater withdrawal, rendering it one of Europe's fastest subsiding regions. In this study, we compared two 2D flood event models representing different land subsidence scenarios for 1992 and 2016. To determine the flooded area and water depth variations due to land subsidence, the Hydrologic Engineering Centre River Analysis System 2D (HEC-RAS 2D) model was used to simulate flood inundation by the Alto Guadalentin River and its tributaries. Synthetic aperture radar (SAR) satellite (ERS, ENVISAT, and Cosmo-SkyMED) images were employed, along with the interferometric SAR (InSAR) technique, to calculate the magnitude and spatial distribution of land subsidence. By analysing the accumulated subsidence distributions obtained from InSAR, the original topography of the valley in 1992 and 2016 was reconstructed. These digital surface models (DSMs) were then used to generate 2D hydraulic models, simulating flood scenarios in the unsteady mode. The results demonstrated significant changes in the water surface elevation over the 14-year period, with a 2.04 km2 increase in areas with water depths exceeding 0.7 m. These findings were utilized to create a flood risk map and assess the economic flood risk. The data highlight the crucial role of land subsidence in determining the inundation risk in the Alto Guadalentin valley, providing valuable insights for emergency management and civil protection against future potential flooding events.

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Automating HEC-RAS and Linking with Particle Swarm Optimizer to Calibrate Manning’s Roughness Coefficient

Cited by 5 publications

References 21 publications

Developing Internal and External Proportional Integral Derivative Water Surface Controller in HEC-RAS

Developing Internal and External Proportional Integral Derivative Water Surface Controller in HEC-RAS

Modeling flood hazard impacts using GIS-based HEC-RAS technique towards climate risk in Şanlıurfa, Türkiye

Analysing the Impact of Land Subsidence on the Flooding Risk: Evaluation Through InSAR and Modelling

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