SIMULATING FLOODS IN COMPLEX SITUATIONS
USING 2-D MODEL

 

 

A.Paquier1, P.Farissier1, P. Ramez1; S. Haider1, P.Maurel2

1 Cemagref, Research Unit Hydrology – Hydraulics

2 Cemagref, Research Unit Spatial Structures and Systems

Cemagref, 3 bis, quai Chauveau, CP220, F69336 LYON CEDEX 09

Tel.: +33 472208775, Fax: +33 478477875, E-mail:andre.paquier@cemagref.fr

 

 

Abstract: Simulating flooding process using 2-D model provides detailed water depths and velocities. This information may be directly used for assessment of flood risks and thus became the basis for prevention or emergency measures and for the development of a specific information system. The three cases described are typical of the use of 2-D model: complex hydraulic network the topology of which changes because of flooding for confluence of Oignin River, breaching of embankment for a flood plain along Loire River and flood passing through the streets of the town of Nîmes.

Such simulations require that adapted methods are used. First, a convenient modelling should include a right description of the topography, which means a computational grid which takes into account the main features of natural ground level and the main linear man-made structures. The extreme case is the urban area in which obstacles to flow (essentially buildings) constitute the major part of the flooded area. Then, the numerical method should be able to represent both subcritical and supercritical flows and the transitions between them and to integrate the description of the flow through hydraulic structures. Such structures should be as complex as a breaching in an embankment. Code Rubar 20 developed by Cemagref meets these requirements and seems to simulate such complex situations in a suitable way.

 

Keywords: shallow water equations, 2-D modelling, flood risks, embankment, urban catchment

1  INTRODUCTION

Flood events occur throughout the world and cause major damages and casualties. The main causes of the increase of the consequent damages are the modified land use in the upper catchments, the urbanisation of flood plains and may be the climatic changes. The more efficient solution to reduce damages or, at least, to reduce the rise of damages consists in managing the use of flood plains. Managing the use of flood plains demand prevention measures and emergency plans. Their efficiency require that reliable information about the parameters of the floods are made available. Such parameters are the maximum extent of the flooded area, the time of arrival of the flood but also the flow velocity, the expected water depth and the evolution of these parameters during the flood period. This information is provided by numerical models which need to have been calibrated on the observations of past events and to be fed by the discharges coming from the upper catchments.

Historically, 1-D numerical models were used first. They solved de Saint Venant equations in the main channels and included storage areas for flood plains. If these 1-D models are still widely used for usual flows, 2-D modelling is replacing them for extreme floods. 2-D models solving shallow water equations provide water depth and velocity in any plot and any time which is precisely the required information; as they rely on a 3-D topographical model, all the changes in velocity directions might be modelled. Due to the increase in the power of the computers and the advance in numerical methods, such calculations that lasted several days a few years ago require only a few hours nowadays. Here below, complex cases are presented, which illustrate the potentialities of 2-D models to provide more accurate and reliable information to be used in the management of flood plains. The three cases have been modelled with the same numerical tool, Rubar 20 which is described first.

2  PRESENTATION OF CODE RUBAR 20

Code Rubar 20 has been developed by Cemagref since 1988. It solves 2-D shallow water equations by an explicit finite volume scheme. The second order Godunov-type scheme includes 2 main steps which consists in, first, solving 1-D Riemann problems to estimate the fluxes through edges for the conservative part of the equations, and then, integrating second member on the surface of the cell to add the corresponding contribution (Paquier and Farissier, 1996) . An hydraulic structure is defined as a set of a few cells where fluxes through one edge are computed from the relations for the hydraulic structure linking discharge and water levels upstream and downstream. These relations may be a weir-type relation but also some more complicated relations such as a breaching in an embankment dam modelled in a simplified way (Paquier et al., 1998) . The computation of discontinuities or fronts is included in the scheme as ordinary points so that there is no need of any particular treatment for drying and wetting. The validity of the numerical method was checked (Paquier, 1995) on a lot of tests including 1-D and 2-D situations, steady and unsteady flows, cases with or without analytical solutions, comparisons with laboratory experiments.

To pass from the topographical data to the computational mesh, the code Mocahy developed by Cemagref is used. This code organises the topography in cross sections and main topographic linear features from which a 3-D numerical model of the bottom of the valley is built (Farissier, 1993) . From this model, a grid composed of triangles or quadrilaterals may be drawn which will respect the main features of the topography. Note that the main linear features may be embankments or other man made linear structures. After computation, Mocahy draws the results using the same topographical basis.

3  DESCRIPTION OF THE FIELD CASES

3.1  Flood management of a confluence

At a confluence, main floods often occur when the upstream floods on the two rivers reach the confluence at the same moment. This situation often creates a local flooding which reduces the peak discharge. In the South East of France, approximately 100 kilometres East from the town of Lyon, the possibilities to reduce flooding in such a situation for the 100-year flood (peak discharge: about 270 m3/s) were investigated (Ramez, 2000) .

The study relates to the zone of confluence between the rivers Lange and Oignin (10 kilometres upstream for Lange, 6 kilometres upstream and 2 kilometres downstream for Oignin). The exchanges with the Lake of Nantua by the means of a channel (called “Bras du Lac”) made the hydraulic system more complex (see Figure 1); during a flood, the level in the lake rises more slowly than the rivers and thus receives water before the peak, water which is sent back to the rivers when their level is low enough. It was decided to study an additional means to reduce the peak flow: a diversion channel will link Oignin upstream from the confluence with Bras du Lac to Oignin downstream from the confluence with Lange. The 100-year discharge hydrographs used were synthetic monofrequency discharge hydrographs because these hydrographs are a convenient representation of one return period (Galéa and Prudhomme, 1997) . Due to the extension of the flooded area between the two rivers, 2-D model seems more convenient. The computational grid (6649 cells) was built from the main topographic linear features which are the rivers, the channel to the Lake of Nantua, the future diversion channel and a motorway. The main hydraulic structures along the rivers were represented by a relation between the discharge through the structure and the upstream and downstream water levels. The relations which were used are either a classical relation for a weir or a relation estimated from measurements on the field. The friction Strickler coefficients used were 30 for the main beds and 15 for the flood plain.

Fig. 1 shows the maximum water levels provided by the computation with the diversion channel for the 100-year flood. A first conclusion was the small decrease of water level relatively to the simulation without the diversion channel. This point may be explained by the presence of a narrow reach downstream from the outlet of the diversion channel and by the interaction with the Lake of Nantua.

3.2  Flood risk along middle loire river

Loire River is about 1000 kilometres long. From early Middle Age, people have protected themselves from the floods by dikes which have been successively risen. Studies about the whole middle reach (length: about 400 km) were performed with a 1-D model considering generally steady computations using peak discharge as the flood lasts several days maintaining more than 90% of that discharge during several hours. They show that the 100-year flood (peak discharge of about 5000 m3/s) flows between the dikes whereas the 500-year flood (peak discharge of about 6450 m3/s) starts inundating the flood plain protected by the dikes to a large extent. However, the most important threat is the breaching of the dikes: for instance, it is proved by the three major floods of the 19th century during which 336 breaches occurred (Halbecq, 1996) . Parallel to this study, Cemagref deals with the development of a GIS (Geographical Information System) in order to optimise the maintenance and the reinforcement of the dikes as well as emergency measurements in the protected zones. In order to define the characteristics of such an information system, a prototype was elaborate on a small zone, the Val de Cisse. The inundation risk linked to the breaching of the dikes was included in this prototype (Maurel et al., 2000) .

Because the water spreads from the breach in all the directions due to the flat topography of the flood plain, the estimation of the flood was performed using a 2-D model. The length of the studied area is about 20 kilometres. In the flood plain, the land use is mainly agriculture with some dwellings and industries, particularly near the town of Amboise. The topography included all the main embankments: dikes along Loire River, railways and main roads. The Cisse River, a tributary flowing in the North part of the flood plain was also modelled. The structures across the embankments were included in the topography. The mesh was then built from this description of the topography in order to represent all these details in a more or less simplified way. Total number of cells was 13713 of which about 30% for the river between the dikes. The potential breaches were located at two various places in which the main bed of Loire river is close to the dikes. Both 100-year and 500-year floods were considered. Breaching might happen by overtopping or by piping.

Fig. 2 shows the maximum water depths computed for the 500-year flood with a downstream breach by overtopping (by steps of 0.5 m till 1.5 m). It can be noticed that the highest maximum water depths (>1.5 m) are concentrated along the Cisse river (lowest area of the flood plain) except just downstream the breach and in the downstream part of the flood plain in which the embankments of a railway and a motorway rise water levels. The comparison between the various simulations show that, as the peak of the flood lasts several days, the flooding of the area behind the dikes was complete till a level close to the maximum water level in the main bed. A few centimetres may be saved depending whether breaching occurs early or not. The embankments inside the flood plain have nearly no influence on maximum water level if they are parallel to the flow but may cause local rise of water level if they are perpendicular to the flow. Velocities in the flood plain are high (>1m/s) only in the first phase of flooding or locally when structures imply concentration of flow.

3.3  The october 1988’s flood in the town of nîmes

Nîmes is a small town (about 120, 000 inhabitants) located in the south of France. On October 3, 1988, a heavy storm coming from Mediterranean Sea produced about 300 mm in about three hours over the whole catchment upstream the town. The flow concentrated in the beds of several streams crosses a large part of the town, which results in high damages (500 millions $) and 10 casualties.

Inside a French national research program “Risques d'inondations” (flood risks), a comparison was performed between a 1-D model and a 2-D model on the case of the flooding of a district of Nîmes during this event. The 2-D model has the advantage of making possible the description of the detailed topography of the crossroads and of the areas (squares, gardens, etc) in which water may be stored or diverted. The results presented here below refer to 2-D simulations in which only the streets are supposed to transfer water. The cross section of one street was described by 11 points in order to represent the pavements and gutter and the whole grid includes 20498 cells. Although the space step varies from 0.2 to 50 metres between two adjacent cells, the stability of the computation was obtained for a time step which corresponds to a maximum Courant number of about 1 for the smaller cells. The inputs are defined by two discharge hydrographs computed from rain in the upstream catchments.

Fig. 3 shows the computational grid with the calculated maximum water depths (by steps of 0.5 m up to 1.5 m). The comparison of the computational results with the maximum water levels of the 1988's flood showed some differences with higher or lower levels depending of the points of observations. This discrepancy seems to result from the uncertain downstream condition and from the errors in the topography. However, in spite of these local discrepancies, the limits of the flooded area and the dynamics of the flood are simulated in a convenient way.

4  CONCLUSION

The three cases described here above proved that the simulation of large floods using a 2-D model is possible for engineering purposes. Although, the computations still remain very long, the advantages appear clearly when it is difficult to determine precisely the direction of the flow and, in particular, when this direction changes during the event, which is often the case during the flooding process of large areas. The use of an adapted numerical scheme has permitted to use the same 2-D model to simulate the water levels in the streets in which the flow passes from subcritical to supercritical.

References

Farissier, P., 1993, Etude d'un modèle cartographique adapté à la simulation des écoulements en rivière [Ph D thesis], Université Claude Bernard Lyon 1. (in French)

Galéa, G., and Prudhomme, C., 1997, Notions de base et concepts utiles pour la compréhension de la modélisation synthétique des régimes de crue des bassins versants au sens des modèles QdF: Revue des Sciences de l'Eau, p. 83-101. (in French)

Halbecq, W., 1996, Approche géomorphologique des brèches dans les levées de la Loire (Geomorphologic approach of breaches in Loire levees) [DEA thesis]: Orléans, Université d'Orléans.(in French)

Maurel, P., Mériaux, P., Tourment, R., Paquier, A., Pardo, C., and Chryat, M., 2000, Analyse et prototypage d'un SIRS générique pour aider à la gestion intégrée des zones fluviales endiguées, Colloque national sur les risques naturels: 28 septembre 2000, Grenoble (France), Cemagref, 13 p.(in French)

Paquier, A., 1995, Modélisation et simulation de la propagation de l'onde de rupture de barrage (Modelling and simulating the propagation of dam-break wave) [PhD thesis], Université Jean Monnet de Saint Etienne.(in French)

Paquier, A., and Farissier, P., 1996, Use of a 2-D model for simulating the flooding of a plain, in Muller, A., ed., Hydroinformatics' 96, Volume 1: Zurich, Switzerland, Balkema, Rotterdam, p. 129-136.

Paquier, A., Nogues, P., and Herledan, R., 1998, Model of piping in order to compute dam break wave, 2nd CADAM  meeting: Munchen, Germany, European Commission, Science research Development.

Ramez, P., 2000, Expertise des crues du Lange et de l'Oignin - Etude Hydraulique - Cartographie des zones inondables, Direction Départementale de l'Agriculture et de la Forêt de l'Ain. (in French)

 

Fig. 1  Maximum water depths for the confluence between Lange and Oignin rivers.

 

Fig.2  Maximum water depths and main linear features for Val de Cisse

 

Fig. 3  Maximum water depths and computational grid for Nîmes