Optimizing the Performance of Coupled 1D/2D Hydrodynamic Models for Early Warning of Flash Floods

We pose the following research question, what are (i) the minimum required computation grid and (ii) the required form of hydrodynamic equations, i.e., shallow water equations (SWE) or diffusion wave equations (DWE), in 2D modeling to minimize the computational time while maintaining an acceptable level of error in the prediction of water depths and the extent of flood inundated areas?. To answer this question, we apply the HEC-RAS 1D/2D model to simulate a disastrous flash flood in the town of Mandra, in Attica, Greece, in November 2017. HEC-RAS 1D/2D combines 1D modeling in the cross-sections of the two main streams of Mandra with 2D modeling in the rest of the potentially flooded area of the computational domain which has an area equal to 18.36 km(2). We perform calculations for 8 scenarios that combined various grid sizes (with approximately 44,000-95,000 control volumes) with the use of the SWE or DWE. We derive the following conclusions: (i) calculated maximum water depths using DWE were equal to 60-65% of the corresponding water depths using SWE, i.e., the DWE significantly underestimated water depths; (ii) calculated total inundation areas using the SWE were approximately 4.9-7.9% larger than the corresponding inundation areas using the DWE; these differences can be considered as acceptable; and (iii) the total computation times using SWE, which ranged from 67 to 127 min, were 60-70% longer than the computation times using DWE.

Automated summary

This study uses the HEC-RAS 1D/2D model to simulate a flood event in the town of Mandra, Greece, and investigates the minimum required computation grid and the required form of hydrodynamic equations in 2D modeling to minimize computational time. The results show that the diffusion wave equations underestimate water depths, while the shallow water equations result in slightly larger inundation areas, but these differences are within an acceptable range.