Applications of HAZUS for Modeling PossibleLosses Avoided from Flood Hazards Presenters •Rodney Renkenberger, Maumee River Basin Commission (MRBC) •Kevin Mickey The Polis Center Background •1982 –March flooding from quick snowmelt combined with rainfall to cause the 3rd worst flood of record since 1913. Over 35 structures substantially damaged. •1985 –March flooding similar to 1982. Snow accumulation was not as much as in 1982. 35 structures were substantially damaged. Background •2003 –July flooding from 7 continuous days of rainfall in the St. Marys Basin. Storms tracked the same path each day, taxing the St. Marys River and causing the worst flood of record. Over 55 structures substantially damaged. •2005 –January flooding resulting from frozen ground and continuous rainfall, caused the 4th worst flood of record. Many of the homes damaged in 2003 were substantially damaged again because of limited acquisition funding. Background •1997 –First grant application submitted for acquiring flood-risk properties •MRBC applied for FMA grant to acquire the 10 most at-risk structures •2003 –Record “Firecracker Flood” presented an opportunity using HMGP funds to acquire the vast majority of at-risk structures. Acquisition Process / Guidelines •MRBC developed a Comprehensive Flood Mitigation Master Plan in 1995 to mitigate future flood damages in the Maumee Basin. •MRBC Master Plan is based on non- structural recommendations to permanently mitigate future flood damages. Acquisition Process / Guidelines •MRBC Flood Mitigation Master Plan guidelines recommend acquisition of the following: •Structures subject to 2’ feet or more of inundation; •Structures located within the Regulatory Floodway; •Structures identified as Repetitive Loss Structures. Pilot Project Goals •Answer the following questions: –Can HAZUS consistently produce depth grids that are appropriate for structure specific loss avoidance studies? –Can HAZUS generate loss information that is sufficient to perform a loss avoidance study? At Risk Structures •HAZUS User Defined Facility table was created with 62 residential structures that were bought out by the MRBC. •Much of the required HAZUS input was not immediately available •Examples of Assumptions –Replacement cost calculated at 1.25 x market value –FFE estimated based partially on expert opinion Hazard Definition •Steps –Run a HAZUS Return Period analysis for 100 year flood based on a 1/3 arc second DEM and 1 square mile drainage area –Note: 100 year event one selected as being equivalent to the event that we the basis for the decision to buyout structures Manningsn = 0.07 (default) Manningsn = 0.08 (default) Manningsn = 0.09 (default) Hazard Definition •Return Period Hazard Option Conclusion –HAZUS failed to represent the inundation area adequately –additional runs were completed with modification of Manningsn value •Enhanced Quick Look method was used to derive depth grid based on AE Zone from DFIRM Enhanced Quick Look –AE Zone Culvert Locations EQL vsHigh Water Marks A comparison of actual high water marks with HAZUS EQL depths yielded mixed results EQL vsHigh Water Marks Average difference was 1.1 feet. However, there were several differences that significantly exceeded this amount. Analysis Analysis Analysis Conclusions •Be very cautious if relying on HAZUS to generate the flood inundation area especially for detailed studies of this type –HAZUS accuracy is relative to accuracy of DEM/ Contour data; –Over-land flow paths may not be depicted / recognized by HAZUS Conclusions •Conveyance structures allowing water to transfer into other areas may not be recognized; •Local Officials, County Engineers, County Surveyors, and City Engineers should be consulted to obtain the most accurate flow information relative to over-land flow-paths that may not be depicted by HAZUS. Conclusions •In addition to structural building costs and content losses avoided, the following losses should also be considered as losses avoided: –Emergency Response Costs; –Adverse impact to local infrastructure; –Value of Open Green Space in reducing future flood losses; –Social –Economic Losses Future Plans •Explore potential of using depth grids created with other H&H models. •Develop recommendations for using HAZUS to support loss avoidance projects in Indiana. Thanks for Coming!