Tropical Cyclones Modelling For Natural Disaster Risk Management

Similar documents
Real-time numerical simulation of storm surge inundation using high-performance computing for disaster management, Queensland.

Queensland Storm Surge Forecasting Model Design Using Sensitivity Analysis

Assessing Storm Tide Hazard for the North-West Coast of Australia using an Integrated High-Resolution Model System

Modelling Coastal Environments Professional Consulting Services Coastal Inundation Tsunamis Coastal Hazard Adaptation Strategies Coastal Processes

Integrating Hydrologic and Storm Surge Models for Improved Flood Warning

Meeting the New Queensland Coastal Plan Storm Surge Requirements for Redland City Council. Queensland Coastal Conference 2011

Improving global coastal inundation forecasting WMO Panel, UR2014, London, 2 July 2014

Vulnerability of Bangladesh to Cyclones in a Changing Climate

Real-time storm tide forecasting for emergency management in Queensland, Australia

TOWNSVILLE STORM SURGE HYPOTHETICAL: TECHNICAL SPECIFICATIONS

Modelling the effect of sea level rise on tropical cyclone storm surge impact

Preliminary Vulnerability Assessment of Coastal Flooding Threats - Taylor County, Florida

Wainui Beach Management Strategy (WBMS) Summary of Existing Documents. GNS Tsunami Reports

Frank Revitte National Weather Service. Weather Forecast Office New Orleans/Baton Rouge

Coastal Inundation Forecasting and Community Response in Bangladesh

SLOSH New Orleans Basin 2012 Update

EFFECTIVE TROPICAL CYCLONE WARNING IN BANGLADESH

JCOMM-CHy Coastal Inundation Forecasting Demonstration Project (CIFDP)

Residents Emergency Response Checklist

Tropical Cyclone Oswald Coastal Monitoring

Hurricane Readiness for Coastal Communities

"Outcomes of the storm surge and waves workshop in Dominican Republic and the questionnaire"

Forecast of Nearshore Wave Parameters Using MIKE-21 Spectral Wave Model

Tool 2.1.4: Inundation modelling of present day and future floods

Texas A & M University and U.S. Bureau of Reclamation Hydrologic Modeling Inventory Model Description Form

Coupling of Wave and Hydrodynamic Models for Predicting Coastal Inundation: A case study in Jakarta and Semarang

Application #: TEXT

Indian Ocean Tsunami Warning System: Example from the 12 th September 2007 Tsunami

European Geosciences Union General Assembly Vienna, Austria 27 April - 02 May 2014

Impact of Sea-level Rise and Storm Surges on a Coastal Community

HYDRAULIC MODELLING OF NENJIANG RIVER FLOODPLAIN IN NORTHEAST CHINA

Comparative Analysis of Hurricane Vulnerability in New Orleans and Baton Rouge. Dr. Marc Levitan LSU Hurricane Center. April 2003

Challenges in providing effective flood forecasts and warnings

Predicting present and future coastal flood risk in North East Wales

Coastal Inundation Forecasting Demonstration Project CIFDP. Flood Forecasting Initiative-Advisory Group (FFI-AG 3), Geneva, 5-7 Dec, 2017

STORM SURGE SIMULATION IN NAGASAKI DURING THE PASSAGE OF 2012 TYPHOON SANBA

Republic of Mozambique

Current and future climate of the Cook Islands. Pacific-Australia Climate Change Science and Adaptation Planning Program

Modeling Storm Surge for Emergency Management

West Carroll Parish Hazard Mitigation Plan Update Public Meeting. August 25, 2015 Oak Grove, LA

An overview of the applications for early warning and mapping of the flood events in New Brunswick

Smart use of Geographic Information System (GIS) platform for delivering weather information and nowcasting services

General background on storm surge. Pat Fitzpatrick and Yee Lau Mississippi State University

COASTAL DATA APPLICATION

Draft for Discussion 11/11/2016

DAGUPAN CITY EXPERIENCES, GOOD PRACTICES, CHALLENGES AND LESSONS LEARNED ON DISASTER RISK MANAGEMENT

Use of Geospatial data for disaster managements

Coastal inundation in the North-eastern Mediterranean coastal zone

MODELLING CATASTROPHIC COASTAL FLOOD RISKS AROUND THE WORLD

STATUS OF HAZARD MAPS VULNERABILITY ASSESSMENTS AND DIGITAL MAPS

LAND USE PLANNING AND RISK: LESSONS FROM THREE AUSTRALIAN PORT CITIES

Benchmarking of Hydrodynamic Models for Development of a Coupled Storm Surge Hazard-Infrastructure Modeling Method to improve Inundation Forecasting

5.2. IDENTIFICATION OF NATURAL HAZARDS OF CONCERN

FOWPI Metocean Workshop Modelling, Design Parameters and Weather Windows

Cyclone Althea Revisited

USING MIKE TO MODEL COASTAL CATASTROPHE RISK

Geospatial application in Kiribati

Development of JMA storm surge model

Experimental Probabilistic Hurricane Inundation Surge Height (PHISH) Guidance

Storm Surge Analysis Update Meeting Cross City, Florida June 17, 2014

FIRST PASS METHODOLOGY OF CITYWIDE FLOOD INUNDATION MAPPING

1.2 DEVELOPMENT OF THE NWS PROBABILISTIC EXTRA-TROPICAL STORM SURGE MODEL AND POST PROCESSING METHODOLOGY

Current and future climate of Vanuatu. Pacific-Australia Climate Change Science and Adaptation Planning Program

Public Disclosure Copy

Canadian Hurricane Center: How NHC Products are used to issue Warnings and Communicate Hazards

Hindcast Arabian Gulf

RADAR Rainfall Calibration of Flood Models The Future for Catchment Hydrology? A Case Study of the Stanley River catchment in Moreton Bay, Qld

New Storm Surge Catastrophe Model for Great Britain and Beyond

THC-T-2013 Conference & Exhibition

GLNG PROJECT - ENVIRONMENTAL IMPACT STATEMENT

Copernicus Overview. Major Emergency Management Conference Athlone 2017

Ms. Latoya Regis. Meteorologist Hydrometeorological Service, Guyana

Annex I to Resolution 6.2/2 (Cg-XVI) Approved Text to replace Chapter B.4 of WMO Technical Regulations (WMO-No. 49), Vol. I

P2.57 Cyclone Yasi Storm Surge in Australia Implications for Catastrophe Modeling

Robert Weaver, Donald Slinn 1

User s Guide to Storm Hazard Maps and Data

They include earthquakes, volcanic eruptions, floods, landslides, and other processes and occurrences. They are included in the broader concept of.

REPORT TO THE PLANNING, TRANSPORTATION AND PROTECTIVE SERVICES COMMITTEE MEETING OF JUNE 26, 2013

Liana Talaue McManus. Division of Marine Affairs and Policy Rosenstiel School of Marine & Atmospheric Science University of Miami

METEOROLOGICAL WARNINGS STUDY GROUP (METWSG)

8.1 Attachment 1: Ambient Weather Conditions at Jervoise Bay, Cockburn Sound

17 th Session of RA IV

Development of Tropical Storm Falcon (Meari) over the Philippines

Hurricane Matthew Threats and Impacts Briefing for Eastern NC

Use of Climate information in Disaster Risk Management in Zimbabwe

National Disaster Management Centre (NDMC) Republic of Maldives. Location

Climate Change Impacts and Adaptation for Coastal Transport Infrastructure in Caribbean SIDS

Modelling coastal flood risk in the data poor Bay of Bengal region

Enhancing Weather Information with Probability Forecasts. An Information Statement of the American Meteorological Society

THE UNITED REPUBLIC OF TANZANIA MINISTRY OF WORKS, TRANSPORT AND COMMUNICATION TANZANIA METEOROLOGICAL AGENCY

Coastal Storms of the New Jersey Shore

CLIMATE CHANGE ADAPTATION BY MEANS OF PUBLIC PRIVATE PARTNERSHIP TO ESTABLISH EARLY WARNING SYSTEM

Positioning the Pacific: NOAA s Geospatial Activities. Juliana Blackwell, Director NOAA s National Geodetic Survey March 6, 2012

What Are Disasters? The Rescue Kids Trio!

Outline of Guideline for Development and Utilization of Tsunami Disaster Management Map

SIXTH INTERNATIONAL WORKSHOP on TROPICAL CYCLONES

Workshop on MCCOE Radar Meteorology /Climatology in Indonesia. Segel Ginting Wanny K. Adidarma

Satellite Remote Sensing for Ocean

Tsunami Inundation Modelling for Bay of Plenty - Executive Summary March 2013

Impact of Sea-level Rise and Storm Surges on Coastal Resorts. Final Report January 2000

Transcription:

Tropical Cyclones Modelling For Natural Disaster Risk Management Juan Savioli a, M. Britton b, S. Szylkarski a and Claus Pederson a a DHI Water and Environment, 2 Elliott Street, Suite 1a, QLD 4217 Surfers Paradise, Tel: (07) 5570-4205. Email: qld@dhiaust.com b Maunsell Australia Pty Ltd, Nadic House, 3 Ramsay Street, Garbutt, Townsville, QLD. Abstract: Burdekin Shire covers an area of approximately 5200 square kilometres, and lies along the eastern edge of the Great Dividing Range to the South of Townsville in Queensland. The Shire's wealth is based on primary production (predominantly sugar cane) and agricultural industries, with the larger urban centres located at Ayr, Brandon and Home Hill on the Burdekin River delta. The Shire has a long coastline with isolated coastal communities scattered along its length. Burdekin Shire Council is undertaking an assessment of storm surge risk across the Shire, under the Natural Disaster Risk Management Studies Program. The primary aim of the study is to reduce/minimize the risk of death and injury due to storm surge events associated with tropical cyclone, with a secondary aim of reducing isolation and infrastructure damage resulting from surge and flood inundation. DHI Water & Environment and Maunsell Australia were jointly commissioned to undertake the study. The adopted methodology involved application of the two-dimensional modelling system MIKE21. The MIKE21 modelling system is an engineering software package for 2D free-surface flows and is applicable to the simulation of hydraulics and related phenomena in floodplains, rivers, lakes, estuaries, bays, coastal areas and seas where stratification can be neglected or assumed vertically well mixed. The complex ocean bathymetry off the North Queensland coast produces highly dynamic tidal conditions, which required that the model extend from the Northern Territory in the north to northern New South Wales in the south. The nested grid facility of MIKE 21 was implemented, with successively finer scale grids nested internally within a coarser grid, resulting in 5 model areas and 4 levels of grid accuracy. One of the features of the study was the requirement to develop a forecast surge model that could be used by Council to provide storm surge predictions during future approaching cyclones. The model results were used to develop storm surge counter disaster plans, including evacuation plans and storm surge mitigation solutions for the Burdekin Shire. Keywords: Storm surge modelling, tropical cyclones, natural disaster risk management. 1. INTRODUCTION Tropical cyclones are large scale and severe lowpressure weather systems that affect the northern coasts of Australia typically between November and April. These cyclones combine strong winds, intense rainfall and induced ocean effects including extreme waves, currents and storm surge. Tropical cyclones pose a real threat to many coastal communities along the northern coast of Queensland every year. In 1989 tropical cyclone Aivu passed through the Burdekin Shire inundating large areas of the Shire resulting in significant infrastructure and agricultural losses. The Burdekin Shire Council decided to facilitate a disaster risk management plan to be implement in the event of future cyclones and commissioned DHI-Maunsell to develop a disaster risk management strategy. This strategy was based on the development of a storm surge forecast model to be operated by Council, which would provide storm surge prediction during cyclone events. The storm surge model was used to develop the disaster risk management plan, including evacuation plans and storm surge mitigation measures for the Burdekin Shire. The primary aim of the study was to minimize the risk of death and injury due to storm surge events with a secondary aim of reducing flooding isolation and infrastructure damage.

2. HINDCAST MODELLING A methodology was developed using the two dimensional coastal modelling system MIKE21. The MIKE 21 model is applicable to the simulation of hydrodynamics, waves and related phenomena in coastal areas and seas. The model allows for storm surge flows to propagate over dry land and includes momentum and wind forces on inundation flows in the coastal plains. The complexity of the area and the tropical cyclones required the use of grid nesting facilities to define a modelling area large enough to avoid perturbations along the boundary conditions and small enough to allow accurate description of the complex reef and channel systems. Five model areas, nested in 4 levels were defined with grid scales ranging from 4050metres to 50metres. The nesting layout of the models is illustrated in Figure 1. in order to remove extensive areas of grown sugar cane and other structural features. Figure 2 illustrates the model bathymetry developed for the study area. Figure 2. Overview of the study area bathymetry Figure 1. Overview of the model set-up. The study area is complex due to the presence of extensive offshore coral reefs and large low-lying coastal plains. A large number of topographic, bathymetric and hydraulic data were collected from various sources with the information supplemented by detailed airborne laser scanning of the coastal plains above mean sea level. The laser scanning survey required significant editing The MIKE 21 model allows for automatic generation of wind and pressure fields of cyclones using a parameterised description of the cyclone shape with a predefined track. Wind and pressure fields have been generated from the parameterised data sets and incorporated as boundary conditions for the hydrodynamic and wave modelling simulations. The impact of wave set-up on the storm surge was investigated in order to obtain the contribution of the waves on the total storm surge. The windinduced waves were simulated using the MIKE21 spectral-wave (SW) model. The MIKE21 SW model is based on unstructured meshes, which were established for the area as part of the study. The SW model simulates the growth, decay and transformation of wind-generated waves and swells in offshore and coastal areas and is particularly applicable for simultaneous wave prediction and analysis on global, regional and local scales. The computed wave field was applied in the hydrodynamic model simulations through the transfer of radiation stresses from the wave model to the hydraulic model.

2.1. Calibration of the model The storm surge model was calibrated for two conditions these being: Calibration for storm surge events Normal tidal conditions. The model calibration was extended to include the full storm surge model including atmospheric Storm surge events. influences and wave setup for two cyclone events, Calibration under normal tidal conditions Aivu (1989) which passed through the Burdekin region and Althea (1971), which passed Townsville to the north of the study area. A The model was calibrated against predicted tidal levels through the model domain to ensure its correct behaviour under normal tidal conditions. Comparisons between modelled and predicted tidal levels at 14 locations along the Queensland comparison of the water level predictions for tropical cyclone Althea is presented in Figure 4 for the tidal records from Townsville and Bowen. Simulated wind/pressure field and tidal levels for the study area are shown in Figure 5. The model coast were completed with the model results showed good agreement, especially during demonstrating good agreement with the tidal the peak surge conditions. conditions at each location. Figure 3 presents the model water level predictions (red) compared to predicted tidal water levels based on tidal constituents (black). The tidal calibration provided a good insight into the influence of the Great Barrier Reef on the tidal conditions in the area. It was observed that the Reef, with its narrow deep channels, regulates the inflow and outflow of water and consequently plays a key role on the hydrodynamic conditions of the study area. This was particularly evident in the Mackay region, where large tidal amplification is experienced due to the influence of convergence of tidal currents produced by the Reef Figure 4. Comparison of the temporal water levels at Bowen and Townsville during tropical cyclone Althea. Figure 3. Water level comparisons at three locations: Abbott Point (top), Hayman Island (middle) and Bugatti Reef (bottom). Figure 5. Overview of the tidal water levels and wind/pressure field during cyclone Althea.

3. DESIGN STORM ASSESSMENT The assessment of storm surge levels and the associated inundation areas during design storm conditions was carried out for a range of cyclone conditions. These conditions were based on four variables, namely: cyclone strength and bearing, cyclone landfall area and tidal water level conditions. These conditions were defined based on a sensitivity analysis of likely storm conditions. In total a matrix of 36 simulations was defined to describe the range of likely and significant cyclones that could impact the region. The results of these simulations provided the basis to determine the maximum storm surge water levels as well as the inundation areas for each of the design events. These results were applied to define the disaster risk management plan. A typical example of the inundation results from a Category 2 cyclone crossing the Burdekin River delta is presented in Figure 6. The depth of inundation is described by the blue intensity with darker areas indicating deeper flow. The figure illustrates a small area of the Burdekin Delta showing Wunjunga in the south and the Burdekin River in the north. achieve this relatively short model run time, the forecast model was developed with a coarse grid resolution. Comparison with the fine scale hindcast model showed no significant reduction in the accuracy of predicted peak surge levels however there is a reduced resolution of the inundation areas. 5. APPLICATION TO DISASTER RISK MANAGEMENT The Federal Government has recognised the need for a structured approach to the management of risks associated with natural disasters. No longer will they continue to commit to funding, to the same historic levels, for damage caused by natural disasters unless there are documented risk management plans in place to enable the risks to be properly managed and the overall repair/restoration costs to be significantly reduced. With this in mind the Federal Government has established the Natural Disaster Risk Management Studies Program, its aim being to encourage State, Territory and Local Governments to undertake worthwhile studies to identify, analyse and evaluate the risks from natural disasters through the provision of Commonwealth financial assistance towards the cost of these studies. The framework for all disaster risk management studies is shown in Figure7. Figure 6. Typical example of the inundation mapping from model results for the Burdekin River 4. FORECAST MODEL One of Council s requirements in this project was the delivery of a forecast model to be operated locally, in order to provide storm surge prediction capability during future cyclone events. A MIKE 21 model will be operated by the Council to fulfil these requirements. Due to the complexity of the operation of the storm surge model, training will be provided to key personnel within the Council. For the purposes of providing effective warnings, the model must run in 1-2 hours, to allow dissemination of surge warnings and, if necessary, evacuation of threatened communities. To Figure 7. Overview of the framework for the disaster risk management studies. In 2001, Burdekin Shire Council was successful in obtaining financial assistance under the

program to complete a storm surge study of the Shire. Storm surges have been recorded within the Shire (like that resulting from tropical cyclone Aivu), but no major surges have occurred in recent years. The storm surge study adds to Council s already strong record in emergency response and preparedness, through the development of appropriate mitigation strategies to minimise disruption to essential services. At the time of preparation of this paper, scenario modelling of the range of cyclones was still being completed. However, the process of community and stakeholder consultation was well progressed and it is expected that the evaluation and treatment (mitigation) of risks will be based around the inundation and hazard mapping (an example is shown below in Figure 8). Figure 8. Example of a hazard mapping of the study area Issues to be assessed will include access to coastal communities, relative timing of the passage of the cyclone and peak inundation, variability of impact depending on cyclone intensity and track, hazardous areas with excessive depths and velocities, possible mitigation measures and effective methods for providing forewarnings 6. CONCLUSIONS A forecast surge model that can be used by the Burdekin Shire Council to provide storm surge predictions during future cyclone events has been developed. The model was calibrated and verified for normal tidal and storm surge conditions for two historical storm surge events. The model results showed good agreement with recorded surge levels in the local area, and tidal behaviour from the Northern Territory to the north coast of New South Wales. The nesting approach used to zoom in on the Burdekin Shire coastline can be applied anywhere along the Queensland coastline. The model was run for 36 design storm combinations to determine maximum water levels and inundated areas, as input to the disaster risk management process and development of storm surge counter disaster plans for Burdekin Shire. The predictive forecast model also give Burdekin Shire Council the ability to independently assess the storm surge risk from approaching tropical cyclones well before their arrival. The storm surge mapping will be used to update the current Counter Disaster Plan (including evacuation plans for each community). The storm surge mapping has been subjected to considerable community consultation, during calibration of the model and on delivery of the Draft Report. 7. ACKNOWLEDGEMENTS The authors wish to acknowledge the following groups and individuals who have made important contributions to the study: Representatives of the Burdekin community and the Council, for providing important anecdotal records of storm surge and other data. AAM GeoScan and Burdekin Shire Council for the supply of Aerial laser Scanning data of the Shire. Department of Natural Resources and Mines (DNR&M), Bureau of Meteorology (BOM), Environmental Protection Agency (EPA) and Queensland Transport, who made available data for the study. 8. REFERENCES Department of Natural Resources and Mines, The State of Queensland, Queensland Climate Change and Community Vulnerability to Tropical Cyclones, Ocean Hazards Assessment, Stage 1, Report March 2001. DHI Water and Environment. Mike21 Hydraulics, User Manual, 2002. Holland, G.J., An analytic model of the wind and pressure Profiles of Hurricane, American Meteorological Society, Monthly Weather Review, Vol 108, 1980. Young, I.R. and Sobey,R.J., The Numerical Prediction of Tropical Cyclone Wind- Waves, James Cook University of North Queensland, (Dept of Civil & Systems Eng., Research Bulletin No. CS20), 1981.