Simulation of 2008 Pellice River flood

Similar documents
IMPROVED MODELING OF THE GREAT PEE DEE RIVER: DOCUMENTATION IN SUPPORT OF FEMA APPEAL. Horry County, South Carolina

Address for Correspondence

Control and mitigation of floods along transbasin diversion channel of Mekong tributaries and Nan river, Thailand

Floodplain mapping via 1D and quasi-2d numerical models in the valley of Thessaly, Greece

Thesis. Graduate School of The Ohio State University. Jeremiah Lant, B.S. Graduate Program in Geodetic Science. The Ohio State University

APPLICATION OF A HYDRODYNAMIC MIKE 11 MODEL FOR THE EUPHRATES RIVER IN IRAQ

Flood Inundation Mapping of Surat City A Prospective View of Flood Return Period

Prepared for: City of Jeffersonville. November Prepared by

DATA AND ACTIVITIES NECESSARY FOR THE PREPARATION OF FLOOD HAZARD MAPS

Flood Inundation Mapping of Floodplain of the Jamuna River Using HEC-RAS and HEC-GeoRAS

ESTIMATING FLOOD INUNDATION AND THE CONSEQUENT ECONOMIC LOSSES IN THE KOILIARIS RIVER BASIN IN CRETE, GREECE

Flooding hazards in northern Italy: two case studies

Estimation of Hydrological Outputs using HEC-HMS and GIS

A SIMPLIFIED FLOOD INUNDATION MODEL INTEGRATING WITH RAINFALL-RUNOFF PROCESSES USING GLOBALLY AVAILABLE TOPOGRAPHIC DATA

The Texas A&M University and U.S. Bureau of Reclamation Hydrologic Modeling Inventory (HMI) Questionnaire

Hydraulic and Sediment Transport Modeling Strategy

1 n. Flow direction Raster DEM. Spatial analyst slope DEM (%) slope DEM / 100 (actual slope) Flow accumulation

Discharge Estimation in a Backwater Affected River Junction Using HPG

Note that the Server provides ArcGIS9 applications with Spatial Analyst and 3D Analyst extensions and ArcHydro tools.

Bear Creek Dam and Reservoir NID# OR Douglas County, Oregon

ONE DIMENSIONAL DAM BREAK FLOOD ANALYSIS FOR KAMENG HYDRO ELECTRIC PROJECT, INDIA

GEOMORPHIC EFECTIVENESS OF FLOODS ON LOWER TAPI RIVER BASIN USING 1-D HYDRODYNAMIC MODEL,HEC-RAS

Flood forecasting model based on geographical information system

Flood forecasting model based on geographical information system

ASSESSMENT OF DRAINAGE CAPACITY OF CHAKTAI AND RAJAKHALI KHAL IN CHITTAGONG CITY AND INUNDATION ADJACENT OF URBAN AREAS

Flood Inundation Mapping of Floodplain of the Jamuna River Using HEC-RAS and HEC-GeoRAS. M. M. Rahman* 1, M. M. Ali 2

Assessment of the Flow at the Chatara on Koshi River Basin using Semi Distributed Model

Development of Stage-Discharge Ratings for Site 2240 Bear Creek at Cold Spring

Simulation of Daily Streamflow

A new railway bridge on Gornalunga River: a flood modeling study.

IMPROVING FLOOD FORECAST SKILL USING REMOTE SENSING DATA

Estimating the 100-year Peak Flow for Ungagged Middle Creek Watershed in Northern California, USA

APPENDIX J-3 Technical Report on Airport Drainage, Northern Sector Airport and Ordinance Creek Watershed, Airport Creek Hydrologic Models

Simulation of Event Based Runoff Using HEC-HMS Model for an Experimental Watershed

ANALYSIS OF HYDRAULIC FLOOD CONTROL STRUCTURE AT PUTAT BORO RIVER

Computer Determination of Flow Through Bridges

Reservoir on the Rio Boba

RAINFALL-RUNOFF STUDY FOR SINGAPORE RIVER CATCHMENT

Cherokee County Future Conditions Floodplain Development

DEVELOPMENT OF FLOOD INUNDATION MAP FOR BAGO RIVER BASIN USING DIFFERENT MODELS. Presented by. Dr.Win Win Zin Professor YTU

Hypothetical Flood Computation for a Stream System

PREDICTION OF "LIPTOS" LIBDA DAM FAILURE AND BREACH'S PARAMETERS

Integrating HEC HMS generated flow hydrographs with FLO-2D. Nanda Meduri, PE, PMP, CFM Seth Lawler Venkata Dinakar Nimmala, CFM

FLOOD INUNDATION ANALYSIS FOR METRO COLOMBO AREA SRI LANKA

International Journal of Scientific & Engineering Research, Volume 5, Issue 7, July-2014 ISSN Sruthy Nattuvetty Manoharan

Hydrology and Hydraulic Modeling for Flash Floods Risk Assessment and Mapping

JOURNAL OF APPLIED SCIENCES RESEARCH

PRELIMINARY HYDROLOGY/HYDRAULICS ANALYSES RESULTS

Flood Modelling For Peri Urban Areas in Adyar River

INVESTIGATION OF EARTH DAM FAILURE AND ZONING OF RESULTING FLOOD USING HEC-RAS SOFTWARE (CASE STUDY OF DALAKI DAM)

Flood Analysis of Wainganga River by using HEC-RAS model

APPLICATION OF 1-D HEC-RAS MODEL IN DESIGN OF CHANNELS

MODELLING OF HYDRAULIC CONDITIONS IN THE UPPER NAREW RIVER SYSTEM

The hydrologic and hydraulic study of the behaviour of the Nyl River floodplain

Beaver Brook Flood Study

Development of a GIS Tool for Rainfall-Runoff Estimation

Autumn semester of Prof. Kim, Joong Hoon

Hydrology Days John A. McEnery 3 Department of Civil Engineering, University of Texas at Arlington, Arlington, Texas

Hydrodynamic modeling of Subernarekha River and its floodplain using remote sensing and GIS techniques

Flood Inundation Mapping of Tadi River

Influence of river routing methods on integrated catchment water quality modelling

Development of a Stage-Discharge Rating for Site Van Bibber Creek at Route 93

CALCASIEU PARISH ENGLISH BAYOU BASIN STORMWATER MASTER PLAN. NTB Associates, Inc. Solving Tomorrow's Problems Today...

River Modelling for Flood Risk Map Prediction: A Case Study of Kayu Ara River Basin, Malaysia

Breach Analyses of High Hazard Dams in Williamson County

Alternative Approaches to Water Resource System Simulation

Pilot Study for Storage Requirements for Low Flow Augmentation

Suspended Sediment Discharges in Streams

A Finite Difference Method for Analyzing Liquid Flow in Variably Saturated Porous Media

SECTION IV WATERSHED TECHNICAL ANALYSIS

Numerical Simulation of Flood Routing in Complex Hydraulic Schemes. The Routing System Computer Program

MULTI-LAYER MESH APPROXIMATION OF INTEGRATED HYDROLOGICAL MODELING FOR WATERSHEDS: THE CASE OF THE YASU RIVER BASIN

Comparison of three flood runoff models in the Shonai River basin, Japan

San Luis Obispo Creek Watershed Hydrologic Model Inputs

Hydrostatistics Principles of Application

Prediction of Flood Area Based on the Occurrence of Rainfall Intensity

GIS-based components for rainfall-runoff models

MEMORANDUM 1 INTRODUCTION. Comox Road Dyke Slough Tide Gate Modifications Numerical Modelling and Conceptual Design Report (DRAFT)

APPENDIX 4 ARROYO MODELING

Pluvial flooding and efficiency of urban drainage

DAM BREAK ANALYSIS & DISASTER MANAGEMENT PLAN

RAINFALL-RUNOFF SIMULATION IN AN EXPERIMENTAL BASIN USING GIS METHODS

Term Project. NFIE-River: Cross section approximations for hydraulic channel routing model in the San Antonio and Guadalupe River Basins.

UNIT HYDROGRAPH AND EFFECTIVE RAINFALL S INFLUENCE OVER THE STORM RUNOFF HYDROGRAPH

Hydrologic Calibration:

SOUTHEAST TEXAS CONTINUING EDUCATION

The mathematical modelling of flood propagation for the delineation of flood risk zones

Flood Risk Analysis of Bridge A Case Study

FLOOD PLAIN MAPPING AND DAM BREAK ANALYSIS FOR NEERASAGAR RESERVIOR

Technical Memorandum. Hydraulic Analysis Smith House Flood Stages. 1.0 Introduction

Stream Reaches and Hydrologic Units

Modeling and Simulation of Irrigation Canals with Hydro Turbines

Flood Management in Mahanadi Basin using HEC-RAS and Gumbel s Extreme Value Distribution

UPDATE OF ARC TP108 RUN-OFF CALCULATION GUIDELINE

Chicago Waterways Tail Water Conditions Modeling

Development of Flood Inundation Map for Bago River Basin

ABSTRACT SENSITIVITY OF PEAK DISCHARGE CALCULATION TO GIS-DERIVED HYDROLOGIC ROUTING PARAMETERS IN THE TR-20 RAINFALL-RUNOFF MODEL

USING MATHEMATICAL MODELING IN ECOLOGICAL RECONSTRUCTION OF GERAIULUI POND

Flood Routing in Ungauged Catchments Using Muskingum Methods

River Processes River action (fluvial)

Transcription:

Simulation of 2008 Pellice River flood 1 L. Natale 1, G.Petaccia 1 Department of Hydraulic and Environmental Engineering, University of Pavia, Via Ferrata 1, 27100 Pavia, Italy Abstract E-mail: petaccia@unipv.it This work is focused on the simulation of the most recent flood event on Pellice River, in Italy, which caused inundations and landslides. Rainfall measurements of the event were available, together with a Digital Elevation Model and orto photographs of the whole reach. A 25km long reach was considered, from Fenile to Po confluence. The one-dimensional topography was generated using ORSADEM, an interactive tool entirely developed by University of Pavia researchers. The software allows to automatically extract river-bed cross sections from DEM and to perform one-dimensional hydraulic calculations, integrating De Saint Venant equations with three different numerical schemes. Roughness parameters can be assigned in a very simple way and the flooded area is automatically mapped. The flood waves flowing from upstream watershed into the river reach of interest were reconstructed by conceptual hydrologic models. The results were compared and confirmed by the limited data recorded during the simulated flood event. Introduction The increased socioeconomic relevance of flood waves studies and their shift towards integrated flood risk management concepts have brought to the development of complex methodologies for river flood simulation. The most popular approaches to fluvial hydraulics modeling are based on the full De Saint- Venant [1] equations which remain the most powerful and accurate model largely used by many engineering packages [2], [3], [4], [5]. Nowadays, the airborne survey techniques (LiDar) allow us to produce a detailed digital elevation model (DEM); the Geographic Information Systems (GIS) tools make easy the application of DEM to 1D hydraulic models and the mapping of inundated areas [6], [7], [8]. Some codes for professional applications, use ArcGis extensions to process the geospatial data required for the hydraulic calculations [9], [10]; instead, ORSADEM, used in the study presented here, include the GIS tool. ORSADEM is an interactive computer code developed by researchers of Pavia University, which extracts river-bed cross sections from DEM, performs unsteady flow hydraulic calculations and automatically maps flood prone areas. The modeling core of ORSADEM integrates De Saint Venant equations written in conservative form by means of the following up-to-date numerical solvers: 1. SANA: a Lax Friedrichs type solver written on a staggered grid [11], 2. ROE: an upwind solver with centered and upwind treatment of source terms [12], 3. HLL: a Riemann solver with centered and lateralized source term treatment [13].

These numerical schemes were tested by simulating laboratory experiences [14] as well as real world situations [15]. These schemes handle with difficult transcritical conditions, typical of mountainous river. ORSADEM maps automatically and with high precision, flood prone areas. Moreover it displays water depth and discharge hydrographs as well as the position of assigned water level during the whole simulation. In this paper HLL scheme was used; HLL is first order accurate in space and time, written for a Finite Volume formulation, with a centered treatment of source terms [16], [17]. Case Study During the last decades many important floods caused major threat to human life and infrastructures in North Western Italy. In Pellice River floods occurred in November 1994, June 2000, October 2000 and May 2008. The Pellice River, that flows in Piedmont Region, is Po River tributary (Figure 1); its watershed, at the Po confluence, has area of 947 km 2, average elevation of 1498 m a.s.l., average slope of 44%, and concentration time of 7.19 hours. Chisone River is its major tributary; Chisone basin, closed at the confluence with Pellice River, has extension of 604 km 2, average elevation of 1666 m a.s.l. and concentration time of 6.5 hours. Figure 1: Location of Pellice and Chisone river basins and its hydrological stations Three hydrologic stations are located in Pellice basin, see Figure 1, whose elevations are shown in table 1. Table 1: Elevation of hydrological stations Station Elevation ( m a.s.l.) San Martino Chisone 410 Villafranca Pellice 260 Luserna San Giovanni 475 The reach simulated in this paper is 25 km long, from Fenile to the confluence with Po River, after one half of the reach the confluence with Chisone river is located. The riverbed is described by 205 cross sections, spaced approximately 120 m, extracted from the DEM by means of ORSADEM tool. The Manning roughness coefficients were defined performing preliminary simulations in the

different areas of the reach according to land-use maps and orto photographs. A particular attention was paid to estimate the hydraulic resistance of vegetated areas [18]. The roughness was given separately for the main channel and the flood plains, and was evaluated using Cowen method to take into account the reach resistance [19]. The flood of May, 28 th to 30 th, 2008 was studied. The flood was generated by two different storms occurred in a very short time interval. These storms, coming from South, gave its contribution mainly in the Pellice basin, and moved towards Chisone basin with lower intensity. Hourly rainfalls, recorded in the stations of table 1, were used to evaluate the average rainfall hyetograph on the Pellice and Chisone Basins. From these data, together with some non continuous recordings of discharges at Fenile station, a conceptual hydrological model was used to evaluate the entire discharge hydrograph of Pellice river at Fenile Station. Same procedure was performed for Chisone basin, at San Martino Station. The discharge hydrograph of Chisone river at the confluence with Pellice river was then evaluated, for hydrologic similitude, extending the rainfall runoff model of Chisone basin, calibrated at S. Martino station, to represent the flood wave at the confluence. The flood waves evaluated in this way are shown in Figure 2. Figure 2: Discharge hydrographs for Pellice and Chisone Since the flood in the final part of Pellice River is due to the superimposition of the two waves, of the main watercourse and of Chisone river, the sequence of the two flood wave was studied. The simulation assumed initial constant flow of 100 m 3 /s at Fenile and 100 m 3 /s coming from Chisone confluence. As downstream boundary condition the water elevation in Po river was imposed at the confluence between Pellice River and Po River. Results and comments

In Figure 3, Pellice River maximum water elevation profile is shown. Figure 3: Maximum water elevations for Pellice River As an example of ORSADEM results, the automatic mapping of a part of the flooded area downstream the Chisone River confluence is represented in Figure 4. Most of the flood is confined in the main channel, which is well defined. ORSADEM interface highlights areas pertaining to abandoned channels that were inundated during the flood. Figure 4: Example of flooded area mapping Figure 5 compares measured and simulated water levels at Villafranca Piemonte station

located 7 km upstream the Po confluence, where the Po backwater effect is negligible. The comparison between simulated and observed data shows a good agreement in the maximum predictions of water levels and discharges, as well as in the flood wave shape. To evaluate the peak routing of the studied reach both Pellice flood wave and Chisone flood wave were propagated separately. As a result the Pellice maximum discharge is reduced of 10%, while the Chisone maximum discharge is reduced only of 2%. Figure 5: Comparison between simulated and observed water levels Conclusions The 2008 flood wave on Pellice River was simulated from hydrological data. The river channel geometry was generated using ORSADEM and the unsteady flow simulations were performed using HLL numerical solver of De Saint Venant equations written in conservative form. The results of the simulation show that the numerical model predicts satisfactorily the water levels. ORSADEM results to be a useful tool to simulate flood waves propagation in natural rivers. References [1] Cunge J.A., Holly F.M, Vervey A. (1980). Practical aspects of Computational River Hydraulics, Pitman Publ. Inc. [2] Bates, P.D., De Roo, A.P.J. (2000). A simple raster-based model for flood inundation simulation. Journal of Hydrology Vol. 236, pp.54 77. [3] HEC-RAS (2002). HEC-RAS, River analysis system, user manual. US Army Corps of Engineers, Hydrological Engineering Center, Davis, CA, Report No. CPD-68.

[4] Hunter, N.M., Bates, P.D., Horritt, M.S., Wilson, M.D. (2007). Simple spatially distributed models for predicting flood inundation: a review. Geomorphology Vol. 90, pp. 208 225. [5] MIKE 11 (2003). A Modelling System for River and Channels. Short Introduction Tutorial, DHI Water and Environment, 88 p. [6] Cook A., Merwade V. (2009). Effect of topographic data, geometric configurations and modeling approach on flood inundation mapping, Journal of Hydrology, Vol. 377, pp. 131-142 [7] Sanders B.F. (2007). Evaluation of on line DEMs for flood inundation modeling, Advances in Water resources, Vol.20, pp. 1831-1843 [8] Shatnawu F.M., Goodall J.L. (2010). Comparison of flood top width predictions using surveyed and Lidar derived channel geometries, Journal of Hydrologic Engineering, Vol. 15, 2, pp. 97-106 [9] Remo J.W.F., Pinter N., Heine R. (2009). The use of retro and scenario modeling to assess effects of 100 + years river of engineering and land cover change on middle and lower Mississipi flood stages, Journal of Hydrology, Vol. 376, pp. 403-416 [10] Gregory M., Walker B., Yi S., Cunningham B., Kjelds J. (2007). Case studies in automated floodplain mapping, proceedings of Flood Management ASCE Conference [11] Antonazzo M., Petaccia A., Petaccia G., Savi F. (2007).Mathematical simulation of flood wave propagation along Biferno river downstream Ponte Liscione dam (Italy), Proceedings of the fifth international Symposium on Environmental Hydraulics, pp 136 [12] Petaccia G., Velickovic M., Savi F., Natale L., Soares-Frazão S., Zech Y., Asselman N. (2009.) Flood Wave Propagation in a Steep Mountain River: Comparison of Four Simulation Tools, Procedings of 33rd IAHR Congress: Water Engineering for a Sustainable Environment IAHR conference., Vancouver, pp. 5896-5903 [13] Petaccia G., Savi F., Soares Frazao S., Zech Y. (2010). Limiti dei modelli monodimensionali nelle applicazioni reali, Atti del XXII Convegno nazionale di Idraulica e Costruzioni Idrauliche, Palermo [14] Petaccia, G., Savi, F. (2002). Numerical modeling of shock waves: simulation of a large number of laboratory experiments, Proceedings of the International Conference in Fluvial Hydraulics, Riverflow 2002, Vol 1, pp. 449-458 [15] Natale L., Petaccia G. (2010). ORSADEM: an interactive tool for dam break studies: proceedings of ICOLD Conference, Vol. 1, pp. 629-633 [16] Harten A., Hyman J.M. (1983). Self adjusting grid methods for one dimensional hyperbolic conservation laws, Journal of Computational Physics, Vol. 50, pp.235-269 [17] Toro E.F. (1997). Riemann solvers and numerical methods for fluid dynamics: a practical introduction, Springer Verlag, Berlin [18] Arcement G. J., Schneider V. R. (2001).Guide for Selecting Manning s Roughness Coefficients for Natural Channels and Flood Plains, U. S. Geological Survey, Water Supply Paper 2339 [19] Chow V.T. (1959). Open Channel Hydraulics, Mc Graw Hill, Boston