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{Policy Development Using DHA Results}




GIS Layers Inventory

Comparing Levels of Risk

Setbacks

Down-Zoning and Land Acquisition

Permit Issuance Indicators

DHAT screen grab LIDAR data are being used, in conjunction with a GIS, to assess a beach's vulnerability to erosion hazards. Oregon is moving towards beach management through a littoral cell management approach versus a site-specific approach. This section describes several ArcView® project "views" that use the results of the Dune Hazard Assessment Tool (DHAT) to demonstrate potential effects on policy.

GIS Layers Inventory

screen grab from Inventory View For any planning process that uses GIS as a tool, the first step is to gather together all physical (topography, soils, etc.) and cultural (tax lots, zoning, etc.) data layers so that the impacts of environmental change on the structures and development in an area can be assessed. This view shows a combination of physical and cultural inventory layers for the South Beach and Holiday Beach areas in South Newport, Lincoln County, Oregon.

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Comparing Levels of Risk

screen grab from Risk View Using DHAT, it is possible to create different scenarios of potential erosion due to storms. Using these different results, planners can then make the critical decision of determining where development should occur. This view shows the results of a risk assessment - extreme, high, and low relative risk layers - for dune-backed shoreline along South Beach in south Newport, Lincoln County, Oregon.

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Setbacks

Hazard Avoidance screen grab This view gives an indication of the viability of potential hazard avoidance measures. For example, it suggests that a construction setback may be effective along the central portion of the segment of shoreline depicted in the view. This may not be the case for all the tax lots depicted in the view, particularly those located in the southern portion. Consideration may need to be given to other hazard avoidance measures, such as zoning controls of land acquisition.

To get this information, a query was made to show vacant parcels in private ownership in a high-risk zone. Assuming that the landward boundary of the zone of high relative risk represents an oceanfront construction setback line, then it is readily apparent how many property owners (i.e. tax lots) are affected - 13. These results could be compared with an alternative, say a more conservative setback defined by the zone of low relative risk, to determine if significantly more tax lots are affected and in turn if a more conservative setback might be politically acceptable.

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Down-Zoning and Land Acquisition

screen grab from down-zoning This view shows the results of the same query along a different segment of shoreline. It is readily apparent that a construction setback is unlikely to be effective. However, a review of additional attribute information contained within the view suggests that other hazard avoidance measures may be viable. For example, an examination of the zoning designation of the affected lots indicates that the lots are zoned medium density residential and high density residential. Consideration may be given to down-zoning as a means of reducing risk. An examination of the ownership of adjacent lots indicates that many are in public ownership. Land acquisition may be a viable, if not the preferred, alternative in this instance.

By moving along segments of shoreline within a littoral cell and conducting the types of analyses illustrated above, a suite of preferred hazard avoidance measures can be identified for various segments of shoreline. When taken together they constitute a hazard avoidance strategy for a given littoral cell.

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Permit Issuance Indicators

Screen grab of query results

Screen grab of query results

Both of these views show the results of a query for the following criteria:
  • The area designated as developed prior to January 1, 1977 (i.e. an eligibility criteria)
  • Existing dwellings in the identified area that in part, or in whole, lie within the zone of extreme relative risk (i.e. a critical need criteria)
  • and are within 500 feet of an adjacent shore protection structure (i.e. a minimal adverse impacts criteria).
The results of the query provide the basis for identifying areas where applications for shore protection structures are not only likely, but likely to be permitted. By providing permitting agencies the ability to anticipate applications, they are able to streamline the decision-making process and focus their time on things such as structure design rather than eligibility, need, etc. Conversely, the results provide permitting agencies the ability to quickly identify applications that are unlikely to be acceptable, those from areas not highlighted by the query. The results are increased efficiency benefits for both the permitting agencies and the applicants.

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