FFCUL, PORTUGALBologna 9 -11 Oct 2006 NEAREST Coordinator: Maria Ana V Baptista NEAREST PARTNER - FFCUL PORTUGAL.

Slides:



Advertisements
Similar presentations
Climate change impacts and water in Western Balkan Blaz Kurnik EEA + colleagues from ETC.
Advertisements

Modeling of Flood Inundation in Urban Areas Including Underground Space Kun-Yeun Han, Gwangseob Kim, Chang-Hee Lee, Wan-Hee Cho Kyungpook.
A numerical simulation of urban and regional meteorology and assessment of its impact on pollution transport A. Starchenko Tomsk State University.
NTHMP - CC Meeting San Diego, CA February 8-9, 2012 Tsunami Modules by Comet Erv Petty Alaska Division of Homeland Security and Emergency Management.
FFCUL, PORTUGALBologna Oct 2006 NEAREST Coordinator: Maria Ana V Baptista NEAREST PARTNER FFCUL PORTUGAL.
Operational Forecasting Wave Models. WaveWatch III (Tolman 1997, 1999a) Model description: – Third generation wave model developed at NOAA/NCEP. – Solves.
Design Parameters.
Instrumentation and Quantification of Tsunamis With an Emphasis on the Santa Barbara Channel.
Key factors determining the extent of tsunami inundation – Investigations using ANUGA Biljana Lukovic and William Power GNS Science, Lower Hutt, New Zealand.
Modeling the M 2 and O 1 Barotropic and Baroclinic Tides in the Gulf of Mexico Using the HYbrid Coordinate Ocean Model (HYCOM) Flavien Gouillon 1 ; B.
Landslide Susceptibility Mapping to Inform Land-use Management Decisions in an Altered Climate Muhammad Barik and Jennifer Adam Washington State University,
A nearfield Tsunami warning system in Taiwan by unit tsunami method Po-Fei Chen 1, Yun-Ru Chen 2, Bor-Yaw Lin 1,3, Wu-Ting Tsai 2 1. Institute of Geophysics,
Multi-scale Simulation of tsunami from Tohoku Earthquake and Diffracted Tsunami Waves in Hokkaido ZHU AIYU, Zhang Dongning Institute of Geophysics, China.
NEW CHALLENGES CONCERNING GEO-HAZARD EVALUATION – J M MIRANDA J Miguel Miranda CGUL / IDL.
Hydrologic/Watershed Modeling Glenn Tootle, P.E. Department of Civil and Environmental Engineering University of Nevada, Las Vegas
Where IOOS Meets the Land and Atmosphere: Assessing/Mitigating Risks of Current & Prospective Coastal Inundation/Erosion Alaskan Coastal Climatology Workshop.
11/02/2007PEER-SCEC Simulation Workshop1 NUMERICAL GROUND MOTION SIMULATIONS: ASSUMPTIONS, VERIFICATION AND VALIDATION Earthquake Source Velocity Structure.
Model Simulation Studies of Hurricane Isabel in Chesapeake Bay Jian Shen Virginia Institute of Marine Sciences College of William and Mary.
Near-Field Modeling of the 1964 Alaska Tsunami: A Source Function Study Elena Suleimani, Natalia Ruppert, Dmitry Nicolsky, and Roger Hansen Alaska Earthquake.
ESA Project- Coupled Model Assimilation Year 1 workshop Aim: To establish coupled Atmosphere-Ocean assimilation system at ECMWF and demonstrate improved.
Paleoseismic and Geologic Data for Earthquake Simulations Lisa B. Grant and Miryha M. Gould.
Uses of Modeling A model is designed to represent reality in such a way that the modeler can do one of several things: –Quickly estimate certain aspects.
Tsunami Warning System Elements IOC Assessment Mission to Indonesia 29 August-1 September 2005.
Joint Regional Conference on Disaster Relief and Management – International Cooperation & Role of ICT Help at Alexandria, Egypt during the period from.
CARPE DIEM Centre for Water Resources Research NUID-UCD Contribution to Area-3 Dusseldorf meeting 26th to 28th May 2003.
NEAREST kick-off Meeting 9-11 October, Bologna NEARESTWP4 INGV: Leader PI: Paolo Favali.
MARsite kickoff meeting December 19-20, 2012, Istanbul WP5 - TASK 2 Near real-time determination of the earthquake finite-fault source parameters and models,
Earth System Sciences, LLC Suggested Analyses of WRAP Drilling Rig Databases Doug Blewitt, CCM 1.
Using Partnerships to Meet NOAA’s Needs for its Next Generation Storm Surge System NOS/OCS/CSDL J. Feyen F. Aikman M. Erickson NWS/NCEP/EMC H. Tolman NWS/OST/MDL.
Data Mining Process A manifestation of best practices A systematic way to conduct DM projects Different groups has different versions Most common standard.
Tsunami Hazard Assessment along the Coast of Lingayen Gulf, Pangasinan, Philippines Julius M. GALDIANO PHIVOLCS Julius M. GALDIANO PHIVOLCS 4 th International.
Chapter 4 Earthquakes Map is from the United States Geological Survey and shows earthquake hazard for the fifty United States.
UMRIDA Kick-Off Meeting Brussels, october Partner 11 : INRIA.
Understanding Ground Water Modeling Gary Johnson Donna Cosgrove Idaho Water Resources Research Institute University of Idaho Idaho Falls.
NEAREST WP5.- Data Integration/ Integrated Tsunami Detection Network: LEADER: UGR PARTNERS INVOLVED: FCCUL, IM, CNRST, UGR Marrakech Meeting 25 and 26.
NEAREST 2nd year Meet ing – Berlim 8 -9oct 08 WP7 Modelling of tsunami impact in SW Portugal Berlim 8-9 October 2008 NEAREST FFCUL Rachid Omira Maria Ana.
Scenarios 1.Tidal influence 2.Extreme storm surge (wave overtopping, max. limit 200 l/s/m, period 2 h) Outlook calibration and validation of 3D model transfer.
USF FVCOM Tropical Cyclone Inundation Testbed Progress by Robert H. Weisberg, Lianyuan Zheng and Yong Huang College of Marine Science University of South.
FFCUL, PORTUGALBologna Oct 2006 NEAREST Coordinator: Maria Ana V Baptista NEAREST PARTNER FFCUL PORTUGAL.
NACLIM annual meeting - 15/10/ NACLIM Annual Meeting 2014 (Berlin) WP4.2 - Extraction of city morphology indicators for urban climate modeling: a.
Estimating Tsunami Periods and its Behavior in the Indian Ocean through Tsunami Sedimentation Survey Name of organization: National Research Institute.
Sensitivity analysis of hydraulic model to morphological changes and changes in flood inundation extent J.S. Wong 1, J. Freer 1, P.D. Bates 1, & D.A. Sear.
Effect of the 1755 Lisbon tsunami in the French West India Andrey Zaitsev, Anton Chernov, Tatiana Talipova Efim Pelinovsky Narcisse Zahibo Ahmet Yalciner.
Dr. J. A. Cunge1 NUMERICAL MODELLING PARADIGM Modelling paradigm Dr. J. A. Cunge117/11/2015.
Comparison of the different proposed sources for the 1755 Lisbon tsunami: modeling in the West Antilles. Jean ROGER, M.A. BAPTISTA, H. HEBERT ITS 2009,
MARsite kickoff meeting December 19-20, 2012, Istanbul INGV contribution to WP5 Tasks 2 & 4 Alessio Piatanesi.
Xiaoming Wang and Philip L.-F. Liu Cornell University
So, what’s the “point” to all of this?….
Development of Spatial Probability Models to Estimate, Integrate, and Assess Ground- Water Vulnerability at Multiple Scales Earl A. Greene and Andrew E.
1D Long-term Modelling of Longshore Sediment Transport
IOC Expert Missions May-August, 2005 UNESCO IOC TSUNAMI PROGRAMME.
Evapotranspiration Estimates over Canada based on Observed, GR2 and NARR forcings Korolevich, V., Fernandes, R., Wang, S., Simic, A., Gong, F. Natural.
General Objective: Conduct R&D activities to improve the quality of SST products used by MERSEA modeling and assimilation centers and produce global, Atlantic.
IMPACT 3-5th November 20044th IMPACT Project Workshop Zaragoza 1 Investigation of extreme flood Processes and uncertainty IMPACT Investigation of Extreme.
Impacts of Landuse Management and Climate Change on Landslides Susceptibility over the Olympic Peninsula of Washington State Muhammad Barik and Jennifer.
NEAREST Kick Off Meeting Bologna, 09/10/2006 WP2 Tsunami source characterisation.
WP03: ANALYTICAL TOOLS, MODELS TELEMAC MODELLING PROGRESS WP03: ANALATICOL TOOLS, MODELS.
Barcelona 8th-9th May 2008 NEAREST 2nd mid-year meeting Introduction.
Development of a High-Resolution Flood Inundation Model of Charles City, Iowa Nathan Young Associate Research Engineer Larry Weber.
Flood damage models – Scope and limitations
Analysis of ground-motion spatial variability at very local site near the source AFIFA IMTIAZ Doctorant ( ), NERA Project.
WP11 Model performance assessment and initial fields for scenarios. Objectives and deliverables To determine, how well biogeochemical ocean general circulation.
Cabled systems for near-field tsunami early warning: An observation system simulation experiment (OSSE) offshore Portugal A. Babeyko1, M. Nosov2 and.
FLOOTSI Development of GIS-GPU-based flood-simulation model and its application to flood-risk assessment Examples of applications Augusto Maidana,
NEAREST FFCUL WP7 Modelling of tsunami impact in SW Portugal
NEAREST FFCUL WP7 Modelling of tsunami impact in SW Portugal
Change in Flood Risk across Canada under Changing Climate
What is in our head…. Spatial Modeling Performance in Complex Terrain Scott Eichelberger, Vaisala.
Effect of Earthquake on Fire Protection Systems
Suggested Analyses of WRAP Drilling Rig Databases
Presentation transcript:

FFCUL, PORTUGALBologna Oct 2006 NEAREST Coordinator: Maria Ana V Baptista NEAREST PARTNER - FFCUL PORTUGAL

FFCUL, PORTUGALBologna Oct 2006 NEAREST WP7 – Modelling of tsunami impact in SW Portugal Description: 1.Prepare the first inundation maps covering a portion of Algarve coast, based on off-shore tsunami sources. 2.Map inundation line will be based on run-up computations for the worst case scenario. 3.Cooperation with TRANSFER in the analysis and comparison of modelling strategies.

FFCUL, PORTUGALBologna Oct 2006 NEAREST WP7 – Modelling of tsunami impact in SW Portugal Partners: ISMAR-BO, FFCUL, INGV, UGR, CNRST Partners involvment (mm)

FFCUL, PORTUGALBologna Oct 2006 NEAREST WP7 – Modelling of tsunami impact in SW Portugal Partners: ISMAR-BO, FFCUL, INGV, UGR, CNRST Task Collation of the New Bathymetric Data with a dedicated cruise Task Implementation of a numerical tsunami model for SW Portugal Task Simulation of the 1755 tsunami in the Boca do Rio area Task Production of inundation maps for Lagos-Sagres Task Model parametrization and validation.

FFCUL, PORTUGALBologna Oct 2006 NEAREST WP7 – Modelling of tsunami impact in SW Portugal Tsunami source - Okada’s equations (seismic sources) Tsunami propagation: BRT Backward Ray Tracing experiments to locate tsunami sources: 1975, 1755 Lisbon event, 1761 NA event 1975 tsunami source location – Collaboration CNRST

FFCUL, PORTUGALBologna Oct 2006 NEAREST Shallow Water models: Linear and Non Linear with and without Boussinesq (dispersion problems) Linear Tsunami N1 – Time project (by Imamura) – 1722 Algarve event Linear SH + Boussinesq Non Linear SH (Swan code, by Mader1988, 2001) 1969,1975 GF tsunami, 1755 event WP7 – Modelling of tsunami impact in SW Portugal

FFCUL, PORTUGALBologna Oct 2006 NEAREST Task Collation of the New Bathymetric Data with a dedicated cruise Task Implementation of a numerical tsunami model for SW Portugal Task Simulation of the 1755 tsunami in the Boca do Rio area Task Production of inundation maps for Lagos-Sagres Task Model parametrization and validation.

FFCUL, PORTUGALBologna Oct 2006 NEAREST 1.Bathymetric data from all the swath bathymetry surveys made in the Cadiz area will be collated into a single grid with 200x200 m cell size. 2.In a few locations close to the shore (e.g., Boca do Rio) a 50 m DEM grid will be created, merging topographic data on-land with available detailed surveys off-shore.. 3. In some cases, new data can be acquired, to complete the study area Until now we’ve used Smith&Sandwell, Gebco and local bathy. maps WP7 – Modelling of tsunami impact in SW Portugal Task Collation of the New Bathymetric Data with a dedicated cruise

FFCUL, PORTUGALBologna Oct 2006 NEAREST 1.Open sea propagation will be modeled with SWAN code. Initial perturbation of the seafloor will be computed using an elastic half space approach. The effect of considering non- uniform slip distributions (Geist and Dmowska, 1999; Gutscher et al.,2006) will be analized. 2.The influence of bathymetry on the elastic deformation will be also evaluated, particularly for sources located in areas of steep topography. 3.Propagation close to the shore will be computed using nested grids, with 250/50 m resolution, and taking into account run-up. WP7 – Modelling of tsunami impact in SW Portugal Task Implementation of a numerical tsunami model for SW Portugal

FFCUL, PORTUGALBologna Oct 2006 NEAREST 1.Propagation close to the shore will be computed using nested grids, with 250/50 m resolution, and taking into account run-up. Problems Datum collation Grid Nesting

FFCUL, PORTUGALBologna Oct 2006 NEAREST

FFCUL, PORTUGALBologna Oct 2006 NEAREST 1.Calculation of the 1755 run-up&run in distance, integrating and extrapolating existing sedimentological observations, described in WP6. The comparison between the location of the 1755 tsunami deposits in- land and numerical model predictions will be used to calibrate the modelling methodology; 2.Sensitivity analysis of the dependence of inundation with general characteristics of the source. The variety of potential tsunami sources within the complex EU-AF plate boundary must be handled to account for the different risk scenarios; 3.Adjustment of roughness parameters in the model. Some level of parameterization must be made for inundation computations. We will use Boca do Rio as a case study and will extrapolate its conclusions to similar situations along the SW Iberian Coast. WP7 – Modelling of tsunami impact in SW Portugal Task Simulation of the 1755 tsunami in the Boca do Rio area

FFCUL, PORTUGALBologna Oct 2006 NEAREST 1.During this project the main goal is to be able to reproduce run-up and flooding at southern Portugal, Sagres-Lagos (Algarve) 2.Inundation maps will be computed for the “worst case” scenario, as given by historical records and geological constraints. 3.we will concentrate on the significant coast segment, integrating a high level of detail on topography, construction and soil use. High density tourist resorts close to the shore will be specifically considered. In some cases, new data can be acquired, to complete the study area. WP7 – Modelling of tsunami impact in SW Portugal Task Production of inundation maps for Lagos-Sagres

FFCUL, PORTUGALBologna Oct 2006 NEAREST 1.Elaboration and correlation of pressure gauge and sea floor motion data and use to produce initial condition for propagation models. Until now Okada elastic half space eqs have been used. Is this enough? Can we improve that? 2. Numerical evaluation of the use of different sets of initial conditions in tsunami propagation models (geological source or rupture geometry). 3. Within the cooperation between NEAREST and TRANSFER, we will compare predictions from different modelling approaches, in what concerns risk assessment. TRANSFER G CADIZ; In some cases, new data can be acquired, to complete the study area. WP7 – Modeling of tsunami impact in SW Portugal Task Model parametrization and validation.

FFCUL, PORTUGALBologna Oct 2006 NEAREST WP7 – Modelling of tsunami impact in SW Portugal Partners: ISMAR-BO, FFCUL, INGV, UGR, CNRST TIME TABLE

FFCUL, PORTUGALBologna Oct 2006 NEAREST WP7 – Modelling of tsunami impact in SW Portugal Partners: ISMAR-BO, FFCUL, INGV, UGR, CNRST DELIVERABLES 1.New topo-bathymetric grid of the Algarve with high resolution selected areas and cruise report (month 11) 2.Implementation of a numerical tsunami propagation and run-up model for SW Portugal (month 17) 3.Simulation of the 1755 tsunami in the Boca de Rio area (month 29) 4.Inundation maps for Lagos-Sagres segment of the Algarve coast (month 32) 5.Tsunami Model Validation and sensitivity analysis (month 35)

FFCUL, PORTUGALBologna Oct 2006 NEAREST WP7 – Modelling of tsunami impact in SW Portugal Partners: ISMAR-BO, FFCUL, INGV, UGR, CNRST MILESTONES Tsunami Propagation and Run up Model for SW Algarve validation

FFCUL, PORTUGALBologna Oct 2006 NEAREST Participants input? ISMAR-BO, FFCUL, INGV, UGR, CNRST Needs: Cooperation with TRANSFER in modelling criteria. Worst cenarios versus probability inundation maps)