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For this scenario we modelled rupture over a 400x100 km fault plane with average slip amount of 30 m. As a matter of comparison, we note that this source is slightly larger in terms of areal extent and average slip then the 2010 Tohoku Japan earthquake and tsunami. <\/p><p style='margin-top:0px; margin-bottom:6px; padding-bottom:1em; font-family:&quot;Segoe UI&quot;, Arial, sans-serif; font-size:13.3333px;'>For the Orange Zone, we determined that the hazard was best represented by aggregating the inundation results from a suite of large magnitude, distant and regional source earthquakes. In this case, simulations that produced anomalously large tsunami heights either at the shoreline or at the offshore location were not used in the aggregation. All in all, the final inundation zones correspond best to a tsunami threat level of 3-5 m as defined in the DGL. <\/p><p style='margin-top:0px; margin-bottom:6px; padding-bottom:1em; font-family:&quot;Segoe UI&quot;, Arial, sans-serif; font-size:13.3333px;'>Raster files of tsunami inundation flow depth and inundated area were compiled for each of the 60 high resolution model grid regions for the Yellow and Orange Zones. This raster data was transferred to GIS for processing into the inundation zones, creating continuous Orange and Yellow Zones as well as the Red Zone.  The Red Zone was creating on the same criteria as Auckland Council for cross boundary consistency, based on 100m buffer for rocky and steep coasts, and +2m elevation contour for all other areas.  The final Red Zone was created on the greatest inland extent.  Gaps between the red and yellow zones and red and orange zones were filled in to create a continuous zone.  For tsunami inundation zones at the model tile edges, zones were extended based on the corresponding contour height<span style='font-size:12pt;'>.<\/span><\/p><p style='margin-top:0px; margin-bottom:6px; padding-bottom:1em; font-family:&quot;Segoe UI&quot;, Arial, sans-serif; font-size:13.3333px;'><span style='font-weight:bold;'>Published by: <\/span>SC <span style='font-weight:bold;'>Published on: <\/span>30/01/2025 <span style='font-weight:bold;'>Data Provided by: <\/span>Dianne Zucchetto (Geospatial Consultant @ Spatalize)<\/p>",
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