Tool 2.1.4: Inundation modelling of present day and future floods

Similar documents
Karamea floodplain investigation

Redcliffs Park Coastal inundation and coastal erosion

Appendix E Guidance for Shallow Flooding Analyses and Mapping

Appendix O. Sediment Transport Modelling Technical Memorandum

Tool 2.1.2: Modelling future heavy rainfall

IMPACTS OF SECONDARY FLOOD EMBANKMENTS ON THE WAIMAKARIRI FLOODPLAIN, NEW ZEALAND

Tools to Assess Flood Risk of Commercial Property Investment

FIRST PASS METHODOLOGY OF CITYWIDE FLOOD INUNDATION MAPPING

CONCEPTUAL AND TECHNICAL CHALLENGES IN DEFINING FLOOD PLANNING AREAS IN URBAN CATCHMENTS

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

L OWER N OOKSACK R IVER P ROJECT: A LTERNATIVES A NALYSIS A PPENDIX A: H YDRAULIC M ODELING. PREPARED BY: LandC, etc, LLC

A Cloud-Based Flood Warning System For Forecasting Impacts to Transportation Infrastructure Systems

LOMR SUBMITTAL LOWER NESTUCCA RIVER TILLAMOOK COUNTY, OREGON

LOMR SUBMITTAL LOWER NEHALEM RIVER TILLAMOOK COUNTY, OREGON

Waipatiki Catchment Flood Hazard Analysis. June 2008 AM 08/04 HBRC Plan Number 4029

Report R08/23 ISBN Kilmore Street PO Box 345 Christchurch Phone (03) Fax (03)

Floodplain Modeling and Mapping Using The Geographical Information Systems (GIS) and Hec-RAS/Hec-GeoRAS Applications. Case of Edirne, Turkey.

COASTAL DATA APPLICATION

D. MATHEMATICAL MODEL AND SIMULATION

Application of high-resolution (10 m) DEM on Flood Disaster in 3D-GIS

TOWNSVILLE STORM SURGE HYPOTHETICAL: TECHNICAL SPECIFICATIONS

Annual transport rates at two locations on the fore-slope.

DOWNLOAD OR READ : GIS BASED FLOOD LOSS ESTIMATION MODELING IN JAPAN PDF EBOOK EPUB MOBI

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

RISK ASSESSMENT COMMUNITY PROFILE NATURAL HAZARDS COMMUNITY RISK PROFILES. Page 13 of 524

International Journal Of Scientific & Engineering Research, Volume 7, Issue 7, July ISSN

FLOOD HAZARD AND RISK ASSESSMENT IN MID- EASTERN PART OF DHAKA, BANGLADESH

Modeling Great Britain s Flood Defenses. Flood Defense in Great Britain. By Dr. Yizhong Qu

FIG Working Week May, Bulgaria From the wisdom of the ages to the challanges of modern world

Fluvial-geomorphic dynamics of a Subarctic catchment under changing climatic conditions

JUNE 2004 Flood hydrology of the Waiwhetu Stream

Flood Inundation Analysis by Using RRI Model For Chindwin River Basin, Myanmar

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

ANALYSIS OF FLOODS AND DROUGHTS IN THE BAGO RIVER BASIN, MYANMAR, UNDER CLIMATE CHANGE

New Jersey Department of Transportation Extreme Weather Asset Management Pilot Study

Natural hazards in Glenorchy Summary Report May 2010

Coastal Inundation Forecasting and Community Response in Bangladesh

URBAN AREA HYDROLOGY AND FLOOD MODELLING

Savannah Harbor Expansion Project

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

Terrestrial Flood Risk and Climate Change in the Yallahs River, Jamaica. An assessment of future flood risk. projections of future climate

Pompton Lakes Dam Downstream Effects of the Floodgate Facility. Joseph Ruggeri Brian Cahill Michael Mak Andy Bonner

High intensity rainfall estimation in New Zealand

APPROACH TO THE SPANISH WATER ORGANISATION IMPROVING FLOOD HAZARD MAPPING, LAWS AND AUTHORITIES COORDINATION

Hydrologic Modelling of the Upper Malaprabha Catchment using ArcView SWAT

Case Study: Modeling the Bundaberg Floods. Sudesh Mudaliar, VP Asia Pacific Anthony Kuch, VP North America

Floodplain Risk Management in Dungog after the April 2015 Super Storm. Presentation Outline

Decline of Lake Michigan-Huron Levels Caused by Erosion of the St. Clair River

Technical Memorandum No Sediment Model

Probabilistic Evaluation of a Meandering Low-Flow Channel. February 24 th, UMSRS

PLANNED UPGRADE OF NIWA S HIGH INTENSITY RAINFALL DESIGN SYSTEM (HIRDS)

Technical Review of Pak Beng Hydropower Project (1) Hydrology & Hydraulics and (2) Sediment Transport & River Morphology

Extreme Phenomena in Dobrogea - Floods and Droughts

Monte Carlo Simulations for Probabilistic Flood Hazard Assessment

Tropical Cyclones Modelling For Natural Disaster Risk Management

Climate Adaptation Challenges for Boston s Water and Sewer Systems

Coastal Vulnerability to Multiple Inundation Sources

REPORT. Coastal Inundation Hazard Zone Mapping. Addendum to Coastal Protection Areas Re-assessment Stage Two

Statewide wetland geospatial inventory update

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

ENGINEERING HYDROLOGY

USGS Flood Inundation Mapping of the Suncook River in Chichester, Epsom, Pembroke and Allenstown, New Hampshire

PENNSYLVANIA DEPARTMENT OF TRANSPORTATION ENGINEERING DISTRICT 3-0

SECTION II Hydrological risk

Development and application of demonstration MIKE 21C morphological model for a bend in Mekong River

Appendix G.19 Hatch Report Pacific NorthWest LNG Lelu Island LNG Maintenance Dredging at the Materials Offloading Facility

Tarbela Dam in Pakistan. Case study of reservoir sedimentation

Sessom Creek Sand Bar Removal HCP Task 5.4.6

Sea Level Space Watch: Service Offering

The last three sections of the main body of this report consist of:

ERDC/LAB TR-0X-X 100. Figure 7-3 Maximum velocity magnitudes for existing conditions for 100-year flood event

MODELLING CATASTROPHIC COASTAL FLOOD RISKS AROUND THE WORLD

Semi-enclosed seas. Estuaries are only a particular type of semi-enclosed seas which are influenced by tides and rivers

Evaluation of Flash flood Events Using NWP Model and Remotely Sensed Rainfall Estimates

Vulnerability of Flood Hazard in Selected Ayeyarwady Delta Region, Myanmar

Geography 8031/1 8031/1. (Jun ) AQA Level 1/2 Certificate June Dynamic Physical World TOTAL. Time allowed 1 hour

Mapping of Future Coastal Hazards. for Southern California. January 7th, David Revell, Ph.D. E.

Changes to Extreme Precipitation Events: What the Historical Record Shows and What It Means for Engineers

Ellen L. Mecray NOAA Regional Climate Services Director, Eastern Region Taunton, MA

Opanuku Stream Benchmark Validation 1. Introduction. 2. The Opanuku Stream Model

Flow regime, floodplain inundation and floodplain waterbody connectivity at Congaree National Park

PHOTOGRAMMETRY AND GIS TECHNOL 1 OGIES FOR MONITORING COASTAL EROSION ALONG DAR ES SALAAM COASTLINE. By: Z.Y Masele, S.D Mayunga1.

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

Run 028 (Note: error in UKC at start of exercise due incorrect tide input then corrected ok.)

KINEROS2/AGWA. Fig. 1. Schematic view (Woolhiser et al., 1990).

Rising Sea Levels: Time for Proactive Action in Florida and the Caribbean?

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

Boston Coastal Flooding Analysis and Mapping

Hydrological forecasting and decision making in Australia

Latest Projections of Climate Change & Impacts on Planning Systems

New design rainfalls. Janice Green, Project Director IFD Revision Project, Bureau of Meteorology

Area-wide geotechnical information summary for CERA zoning review panel

A distributed runoff model for flood prediction in ungauged basins

MODELING OF LOCAL SCOUR AROUND AL-KUFA BRIDGE PIERS Saleh I. Khassaf, Saja Sadeq Shakir

Coastal Hazard and Climate-Change Risk Exposure in New Zealand: Comparing Regions and Urban Areas

Integrating Hydrologic and Storm Surge Models for Improved Flood Warning

Progress Report. Flood Hazard Mapping in Thailand

Ground Water Protection Council 2017 Annual Forum Boston, Massachusetts. Ben Binder (303)

IJESRT INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY

Natural Susceptibility to Coastal Erosion: Methodology and Mapping Summary

Transcription:

Impacts of Climate Change on Urban Infrastructure & the Built Environment A Toolbox Tool 2.1.4: Inundation modelling of present day and future floods Authors M. Duncan 1 and G. Smart 1 Affiliation 1 NIWA, PO Box 8602, Christchurch

Contents 1. Introduction 1 1.1 Background 1 1.2 Purpose of Tool 1 2. Overview of inundation models 1 2.1 Theoretical Basis of computational hydrodynamic models 2 2.2 Model data requirements 3 2.2.1 Digital elevation model 3 2.2.2 Hydraulic roughness 4 2.2.3 Bridges and culverts 4 2.2.4 Model verification and calibration 4 2.2.5 Tide levels 4 3. Case study examples 5 3.1 Westport Scenarios and Results 5 3.2 Discussion on assumptions for Westport 6 3.3 Heathcote Scenarios and Results 7 4. How to Apply the Tool 10 5. Example Outputs 10 5.1 The Next Steps 13 6. References 13 All rights reserved. The copyright and all other intellectual property rights in this report remain vested solely in the organisation(s) listed in the author affiliation list. The organisation(s) listed in the author affiliation list make no representations or warranties regarding the accuracy of the information in this report, the use to which this report may be put or the results to be obtained from the use of this report. Accordingly the organisation(s) listed in the author affiliation list accept no liability for any loss or damage (whether direct or indirect) incurred by any person through the use of or reliance on this report, and the user shall bear and shall indemnify and hold the organisation(s) listed in the author affiliation list harmless from and against all losses, claims, demands, liabilities, suits or actions (including reasonable legal fees) in connection with access and use of this report to whomever or how so ever caused.

1. Introduction 1.1 Background It is expected that future increases in heavy rainfall due to climate change will greatly impact river flow and river flooding in New Zealand. The IPCC Fourth Assessment Report (2007) found that floods in New Zealand are very likely to become more frequent and intense, resulting in increased risk to major infrastructure including failure of flood protection measures. The pattern of rainfall over New Zealand will also change, e.g. Eastern areas expected to become drier, Western areas expected to become wetter, leading to regional variations in flood risk changes. As detailed in [Tool 2.1.1] the third step in estimating the effects of climate change on river floods is to estimate the change in flood inundation. 1.2 Purpose of Tool To use estimates of river flood flows corresponding to future scenarios of heavy rainfall [Tool 2.1.3] and estimate the corresponding flood inundations. Two case study examples are presented here to demonstrate the tool: possible future flooding of the Buller River (Westport) and of the Heathcote River (Christchurch). 2. Overview of inundation models A hydrodynamic model is used to calculate water-levels, water-depths and flow velocities across a modelled terrain. Models may be physical scale models of a prototype situation, or computational models using digital representations of reality. The generic setup for a model is shown in Figure 2.1. Due to the reducing cost of computer processing in recent years, computational models are now generally used in preference to physical models. Physical models may give more realistic results where sediment movement causes significant topographic changes during floods. Tool 2.1.4: Inundation modelling of present-day and future floods 1

outputs requirements Inflow hydrograph Boundary effects (tides) Roughness data Topographic data Hydraulic model numerical or physical Geomorphic model Water depths and velocities Figure 2.1: Schematic diagram of parameters affecting hydraulic modelling. 2.1 Theoretical Basis of computational hydrodynamic models Computational models in use in New Zealand are one-dimensional (1D) or two dimensional (2D). The characteristics of these models are compared in Figure 2.2. Numerical hydraulic models 1D or 2D? User defined flow paths Flow paths determined by model Surveyed cross sections Reach & berm roughness coefficients Short computational time Detailed topography DEM High resolution roughness maps High spec. computer Run times can take days Cross-section average depths & velocities. Local depths & velocities, bed scour, bank erosion, sediment transport, hazard. Figure 2.2: Features of one dimensional and two dimensional computational hydraulic models. Tool 2.1.4: Inundation modelling of present-day and future floods 2

The examples presented in this study use computational 2-dimensional (2D) hydraulic models run on personal computers with 2 GHz, 2-core processors and 2GB RAM. Two dimensional computational models are based on the physics of depth-averaged shallow water flow and solve the Saint-Venant equations. The particular computational model used here is Hydro 2de, but there are a number of such models that could be used. Hydro 2de has been widely used by NIWA for flood inundation studies. For the Westport model example in this study, depths and velocities predicted by Hydro 2de were verified by comparison with the Gerris 2D model. 2.2 Model data requirements The following are the minimum data needs for 2D hydrodynamic modelling for inundation: A digital elevation model (DEM) of the model domain (see Section 2.2.1). An input hydrograph. [Tool 2.1.2] and [Tool 2.1.3] describe how rainfall and runoff can be generated to provide input hydrographs. The hydraulic roughness of the model domain (see Section 2.2.2). This may need to be calibrated (see Section 2.2.4). Information on the location of bridges and their soffit levels and the location and dimensions of culverts and major pumping stations (see Section 2.2.3). Tide levels for coastal reaches (see Section 2.2.5). 2.2.1 Digital elevation model DEMs are typically derived from LiDAR which cannot detect underwater areas. Thus it is necessary to add the bathymetry of wet areas such as rivers, lakes, swamps and ocean. Constructing a DEM may involve resampling topographic data to get a mean elevation for the required size of computational cell. Care has to be taken to ensure that critical levels such as the top of the stopbanks or the bottom of narrow channels are preserved in a DEM. This can be an issue where feature widths are of the same order or smaller than the cell size. The Westport model example herein, covers the whole of the Buller River flood plain and is bounded by hills to the south, terraces to the east and west and by the sea to the north. The example Heathcote River Flood model is bounded by Colombo Street in the west, the Avon-Heathcote estuary in the east, the Port Hills in the west and Aldwins/Pages Road to the north. The DEMs are based on airborne LiDAR measurements. The DEM cell size is 4.7 m square for the Buller region and 2 m square for the Heathcote model. Tool 2.1.4: Inundation modelling of present-day and future floods 3

The Heathcote model is based on topography existing prior to the February 2011 Christchurch earthquake and may no longer be representative of future flooding. 2.2.2 Hydraulic roughness Hydrodynamic models require a roughness value for each computational cell. Roughness values can be obtained from tables, by calibration or by mapping on the basis of remote sensing, aerial photographs or land use databases. 2.2.3 Bridges and culverts Where these can have an effect on flood flows they must be incorporated into the hydrologic model. The Hydro 2de model used for these examples requires the location of each side of the ends of bridges and bridge soffit levels. For culverts it requires the location of the ends of the culvert, its diameter or width and height. 2.2.4 Model verification and calibration Models require verification against observed flood events and possible re-calibration. Corrections are usually achieved by changing hydraulic roughness values or digitally altering the DEM to ensure that it correctly represents the true topography during a flood. The Buller case was calibrated using water levels in the town during the August 1970 flood that had an AEP of ~0.02. Heathcote River levels were calibrated using the largest flood recorded at the Buxton Terrace water-level recorder. 2.2.5 Tide levels The Buller River at Westport and the Heathcote River Christchurch example models are close to the sea, are low-lying and so sea-levels (tide) and any effect of climate change on sea-level needs to be taken into account. The base tide for the simulations is the pragmatic mean high water springs tide (MHWS10), i.e., the tide that is exceeded 10% of the time. In the simulations, tide and flood peaks were coincident. Buller flood peaks are normally quite broad and long and so there is a good chance that some part of the river flood peak will coincide with high tide. For these studies, no account was taken of the effect of storm surge. Previous work has shown a coincidence of storm surge with river floods in the Buller River in winter. There has been no investigation of the coincidence of storm surge and river floods for the Heathcote River. Tool 2.1.4: Inundation modelling of present-day and future floods 4

For the 2030-2049 (2040) scenarios we have assumed a sea-level rise of 0.4 m and for the 2080-2099 (2090) scenarios a sea-level rise of 0.8 m. These amounts of sea-level rise are similar to those recommended in the MfE (2008) Guidance Manual. Tide values for the Westport model were taken from the NIWA open ocean tide gauge at Charleston ~25 km south west of the Buller River mouth and for the Heathcote model from the tide record at the Ferrymead Bridge where the Heathcote River enters the mouth of the Avon-Heathcote Estuary. 3. Case study examples 3.1 Westport Scenarios and Results Table 3.1 shows the modelled climate scenarios, periods, peak flows, the annual exceedance probability (AEP) of the river flood peaks in terms of the current climate, tide levels and the extent of inundation of Westport town (see also Figure 3.1). The Base scenario is the August 1970 flood which came very close to the 0.2% AEP (50 year) flood peak of 8640 m 3 s -1. Table 3.1: The climate scenarios for the Buller/Westport example. Climate scenario Period Peak flow (m 3 s -1 ) AEP for current climate Average return period (years) Increase on 1.618 m base tide (m) Inundation in Westport. % area with depth >0.2 m Base Current 8500 0.021 47 0 51 B1 2030-2049 8805 0.015 66 0.4 60 A1B 2030-2049 8977 0.013 76 0.4 63 B1 2080-2099 9017 0.013 78 0.8 67 A2 2030-2049 9200 0.011 90 0.4 64 A1B 2080-2099 9319 0.010 98 0.8 70 A2 2080-2099 9727 0.008 131 0.8 72 Tool 2.1.4: Inundation modelling of present-day and future floods 5

Figure 3.1: The red line encloses the area defined as Westport for the calculation of inundation. 3.2 Discussion on assumptions for Westport The modelled future climate scenarios are based on alterations to the total rainfall while maintaining the hourly distribution pattern that produced the August 1970 flood. Similar daily rainfall totals with different hourly rainfall distributions can result in significantly higher flood peaks and volumes. The degree of inundation of Westport is very sensitive to the duration that the flood is overbank and hydrographs with different shapes and volumes (with the same peak flow) would result in different inundation depths and locations than reported here. The same area of inundation can result from a range of combinations of tide level and flood peaks, although different locations will be flooded with different water depths and velocities than reported here. The models reported here have the MHWS10 tide peak aligned with the flood peak giving a conservative result. Higher or lower tides and their timing would result different areas and locations of inundation, e.g., in Tool 2.1.4: Inundation modelling of present-day and future floods 6

August 1970 the Buller River flood peak arrived at low tide and inundation was limited by the low tide, even though there was ~0.6 m of storm surge. 3.3 Heathcote Scenarios and Results Table 3.2 shows the modelled climate scenarios, their periods, peak flows, tide levels, and the AEP of the river flood peaks in terms of the current climate. The AEP estimates for the Heathcote River at Buxton Terrace are debatable as the short record (1991 to present) is for a period with relatively low daily rainfalls compared to the long Christchurch Botanical Gardens rainfall record (from 1873 to present). The ARI estimates in Table 3.2 are based on a frequency analysis with the Buxton Street flow record extended using the Fernihurst Street record that began in 1966. As the flow estimates in Table 3.2 are well beyond the magnitude of measured flows there remains significant uncertainty in the AEP estimates. Table 3.2 also shows the resulting area of overbank inundation (in square kilometres and as a percentage increase on the area which would be flooded should a ~150 year flood occur at present). Table 3.2: Example climate scenarios for the Heathcote River at Buxton Terrace. Climate scenario Period Peak flow (m 3 s -1 ) AEP for current climate Average return period (years) Increase on 0.974 m base tide (m) Inundated area Km 2 Increase in flooded area Base Current 65 0.007 143 0 0.73 0 A1B 2030-2049 77.3 0.0024 417 0.4 1.15 56% A2 2030-2049 89.2 0.00075 1,333 0.4 1.38 187% A1B 2080-2099 89.2 0.00075 1,333 0.8 2.19 298% A2 2080-2099 126.0000102 98,039 0.8 3.43 467% Maps of flood inundation in south eastern Christchurch resulting from the different climate scenarios are shown in Figures 3.2 and 3.3. Tool 2.1.4: Inundation modelling of present-day and future floods 7

Figure 3.2: Flood inundation of S.E. Christchurch showing scenarios for 2040 in relation to the present scenario (NB pre-earthquake). Tool 2.1.4: Inundation modelling of present-day and future floods 8

Figure 3.3: Flood inundation of S.E. Christchurch showing scenarios for 2090 in relation to the present scenario (NB pre-earthquake). As noted in the introduction, the Heathcote model is based on topography existing prior to the 22 February 2011 Christchurch earthquake and may no longer be representative of future flooding. Specifically, comparative LiDAR surveys from before the September 2010 and after the February 2011 earthquakes suggest the Avon- Heathcote estuary and lower reaches of the Heathcote River are now up to 0.4 m higher and the upper reaches of the model are ~0.2 m lower. On this basis, the data presented on the extent and location of inundation and subsequent analysis could be misleading. The data and maps in this tool should therefore be seen only as examples of the methodology and should not used for planning purposes. As for the Buller River case, daily rainfall estimates are calculated according to best practice, but there is no guidance on how to distribute that rainfall during the day and a wide range of flood peaks could result from differences in that distribution. Also in common with the Buller River case the relative sizes and timing of the river flood and tide peaks can influence the location depth and extent of inundation. Tool 2.1.4: Inundation modelling of present-day and future floods 9

A difference from the Buller case is the way in which the increases in flooding are quantified. With a clearly defined town such as Westport, the inundated area can be calculated as a percentage of the town area, however in the case of Heathcote River in Christchurch such a parameter is less useful and the inundation likely to occur as a result of climate change is here presented in square kilometres and as a percentage increase on the area which would be flooded in a present-day 150 year flood. 4. How to Apply the Tool High resolution hydrodynamic 2D modelling is a resource hungry exercise, both for its data requirements (LiDAR) and the expertise and computing power required to carry out the modelling. It is more appropriate where there are extensive assets to protect or a high probability of loss of life from flooding. 5. Example Outputs The example hydrodynamic model used can output grid files of water depths, x & y vectors or resultant depth averaged velocity, water-levels, bed elevations, hydraulic roughness, bed shear stresses and the duration of inundation for each model cell at each saved time step. The model can also output data on the maximum value (during a model run) for water depths, resultant velocities, water-levels and specific flow calculated for each cell. The example outputs shown below show such maximum values. The extent and depth of inundation and of the Buller River flood plain is shown for the current climate (base) case in Figure 5.1 and the most extreme climate scenario in Figure 5.2. Tool 2.1.4: Inundation modelling of present-day and future floods 10

Figure 5.1: The maximum extent of inundation and water depth (in metres shown as a colour scale) of the Buller River flood plain for the current climate with a flood peak of 8500 m 3 s - and coincident tide peak of 1.618 m. The red box shows the approximate location of Westport. Tool 2.1.4: Inundation modelling of present-day and future floods 11

Figure 5.2: The maximum extent of inundation and water depth (in metres shown as a colour scale) of the Buller River flood plain for the A2 2090 scenario with a flood peak of 9727 m 3 s -1 and coincident tide peak of 2.418 m. The red box shows the approximate location of Westport. Tool 2.1.4: Inundation modelling of present-day and future floods 12

5.1 The Next Steps Model results can be used to evaluate economic and human losses likely to occur in the sample floods and consequently predict the effects of climate change in relation to the present day situation [see Tool 3.3]. The model can also be used to explore the efficacy of potential mitigation options, e.g., flood banks can be digitally added to the DEM and models rerun to demonstrate the effectiveness and residual risk of such protection measures. Options such as deepening or widening channels or constructing flood bypass channels can similarly be explored [see Tool 4.2]. 6. References Beffa, C.; Connell, R.J. (2001). Two-dimensional flood plain flow. 1:Model description. Journal of Hydrologic Engineering 6(5): 397-405. Duncan, M.J., Shankar, U., Smart, G.M. and Willsman, A. 2003. Westport flood mapping study, NIWA Client Report CHC2004-064. Ministry for the Environment. 2008. Coastal Hazards and Climate Change. A Guidance Manual for Local Government in New Zealand. 2nd edition. Revised by Ramsay, D, and Bell, R. (NIWA). Prepared for Ministry for the Environment. viii+127 p. Tool 2.1.4: Inundation modelling of present-day and future floods 13