2.11. Best Practices

The process of constructing the Atlantic County Inventory for footprints beyond those in the Flood-Exposed Inventory underscored a number of tasks/issues that are commonly encountered when constructing an inventory in a location with sparse inventory data. Recommended best practices are summarized as follows:

  1. Inventories are based upon building footprint data which may be sourced from state/local authorities or third parties, which should be selected based on known accuracy. State/local data is often the most accurate as they have been quality assured through human oversight. In the absence of such data, select third-party data that is hand drawn, when possible: 2017 Microsoft footprint data is preferable since it is hand-digitized vs. 2018 Microsoft footprint data which is computer-generated.

  2. Note that footprint data may still contain skewed buildings, offset outlines, individual buildings whose close proximity caused them to be treated as a single building outline, or outlines that include non-structural features. Thus footprint data may require additional processing to rectify such issues and any adjustments to the footprints further requires recalculation of coordinates and coordinate-dependent information.

  3. Triangulate data sources to improve data quality, e.g., sanity-checking building classifications in tax assessor data by using zoning or land use/land cover data, cross-checking state tax assessor data against county tax assessor data.

  4. Footprints need to be assigned parcel data from the local tax assessor. If a footprint falls within parcel, the footprint should receive that parcel’s attributes, noting that a parcel may have multiple footprints within it: If footprint falls between multiple parcels, assign it the parcel information with a higher level of flood risk based on the FEMA-designated flood zone, where risk goes from highest to lowest according to: VE, AE, AO, AH, A, X. If footprint falls between multiple parcels and both with the same FEMA flood zone, it receives the parcel information for the parcel with the highest overlapping area. If a footprint falls outside a parcel, it is assigned the attributes of the nearest parcel.

  5. Once footprints are identified, assign default values for each required attribute in the Building Inventory. These default values should be selected using engineering judgment to represent the most common/likely attribute expected or conservatively from the perspective of anticipated losses (i.e., picking the more vulnerable attribute option). These initial assignments are then updated if additional data is available to make a more faithful attribute assignment. As part of the default assignment class, pick a building typology that is prevalent in the locale as your default building. For example, NJDEP selected Single Family Dwelling/Residence, made of Wood (stud-framed) with Slab-on-Grade foundation, shingles as its roof covering, and siding as its wall covering (specific material types may be specified, e.g., asphalt shingle or vinyl siding, depending on the granularity of the damage/loss models).

  6. Flood Insurance Rate Maps (FIRMs) are used to define the FEMA-designated flood zone for the building site. In some locations, the most updated FIRMs may not be officially released, in which case preliminary FIRMs should be used as they offer the best contemporary flood hazard data.

  7. Elevation certificates may be available from local authorities and can be consulted to establish the elevation of the lowest horizontal structural member for food risk assessments. Most risk assessments will require the top of the bottom occupied floor, which will be defined relative to the lowest adjacent (finished) grade (LAG). Digital Elevation Models (DEMs) can also be consulted to establish building elevations. Note that the SimCenter’s image processing tools minimize the need for these data sources.