Hec ras 2d group
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The application of 2-D models is strongly required in built-up areas to reproduce the complex, multidirectional surface flow paths generated by urban configurations ( Apel et al., 2009 Mignot, Paquier & Haider, 2006 Pina et al., 2016 Yu & Lane, 2011). Pender & Néelz (2010) compared the performance of some of the most common 2-D software. (2017) reviewed several well-known software/models that are capable of modeling flood inundation. Recently, the application of two-dimensional (2D) shallow-water equation (SWE) models is encouraged by the increasing availability of unique user-oriented computational codes ( Pilotti et al., 2020). As a result, many research works applied the simplified so-called Diffusion Wave model for simulating urban flood events ( Costabile, Costanzo & Macchione, 2017 Dottori & Todini, 2013 Fewtrell et al., 2011 Hunter et al., 2008 Prestininzi, 2008 Yu & Lane, 2006). However, despite the availability of detailed, high-resolution topographic data, the lack of observed data prevents an adequate evaluation of the amount of data produced by any hydraulic model ( Hunter et al., 2007).
#Hec ras 2d group full#
The recommended one by the scholars is the Full Momentum model ( Abderrezzak, Paquier & Mignot, 2009 Cunge, 2003). In the literature, there are many studies dedicated to shallow-water equations (SWEs) for modeling flood inundation simulations in both Full Momentum and simplified models. The choice of the hydrodynamic model is one of the crucial elements of flood modeling. Although, as human beings, we cannot control or stop such kinds of events, the frequency of occurrence and the level of damage could be effectively reduced through flood risk mapping, spatial planning and flood modeling using different techniques. Recently, monitoring LULC changes using Remote Sensing (RS) has become an effective tool ( Ali, Bohloul & Hosein, 2010 Apollonio et al., 2016 Mustafa & Szydłowski, 2020 Sanyal, Densmore & Carbonneau, 2014 Sharif et al., 2016 Shrestha, 2003 Zope, Eldho & Jothiprakash, 2016), and the Geospatial Information System (GIS) and hydrological modeling packages are a popular approach among researchers to delineate flood hazards and for flood mapping. Moreover, rapid change in Land Use Land Cover (LULC) is considered to be a source of decreasing ground imperviousness, resulting in an increase in the amount of surface runoff. Many researchers from different continents have studied the characteristics, effects and consequences of extreme rainfall events which happened under different hydrological circumstances ( Arnbjerg-Nielsen, Leonardsen & Madsen, 2015 Ávila, Carvajal & Justino, 2015 Fu et al., 2013 Mustafa, Muhammed & Szydłowski, 2019 Rajeevan, Bhate & Jaswal, 2008 Ruin et al., 2014 Szpakowski & Szydłowski, 2018 Yilmaz, 2015). The Emergency Events Database EM-DAT of the Center for Research on the Epidemiology of Disasters (CRED) found that flooding caused the majority of disasters between 19, accounting for 43% of all reported events and affecting almost 2.5 billion people ( CRED, 2015). Moreover, the study aims to produce a deeper comprehension of numerical modeling and urban flooding.įloods and flood modeling are a hot topic in the research field of hydrology and hydrological modeling. Furthermore, this study confirms the importance of the BR technique, which should help researchers in using low-resolution Digital Elevation Models (DEMs) along with open-source programs. As far as the BR technique is concerned, it is well-suited for representing building units in numerical simulations using high Manning coefficients. A sensitivity analysis showed that the proper mesh resolution and model parameter values were obtained. A statistical analysis was performed using both the Root Mean Square Error (RMSE) and the Pearson Product-Moment Correlation Coefficient (PPMCC) in order to evaluate the performance of the models. Water depth variation computations using the BR and BB techniques were compared to the laboratory measurements and previous studies in the literature. Two simplified building layouts (aligned and staggered) were examined, where models were prepared for two different building representation techniques: Building Block (BB) and Building Resistance (BR).
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To this end, eight numerical models based on previous laboratory experiments were prepared to simulate unsteady urban flooding on each side of building units. This paper presents the impact of the choice of building representation techniques and hydrodynamic models on urban flood simulations using HEC-RAS 2-D for the Toce River physical model.