Proposed Abstract Title

Sea Level Rise Vulnerability of San Juan County, Washington

Type of Presentation

Poster

Session Title

Integrating Science with Landowner Outreach to Increase Coastal Resiliency

Location

2016SSEC

Description

The objective of this study was to attain greater understanding of the areas within San Juan County that are vulnerable to implications of sea level rise. The resulting countywide mapping tool highlights areas potentially at risk of both inundation and erosion, for which management strategies can be developed to reduce, avert, and mitigate these SLR impacts. Inundation modeling was paired with bluff recession estimates across two SLR scenarios (moderate, high) and planning horizons (2050, 2100). Inundation mapping was conducted by linking local topography data (LIDAR) to tidal datum and elevations for each scenario and planning horizon. Inundation areas were mapped between MHHW, the highest observed water level, and each of the scenarios and planning horizons. Bluff recession estimates were developed based on a stratified sample of background erosion/change rates from different geomorphic shoretypes in the county. Change rates were measured using historic air photo analysis and digital shoreline analysis systems (DSAS). Historic recession rates were used to project future bluff recession (with accelerated recession rates based on rate of sea level rise), across the two scenarios and planning horizons. Projected bluff recession estimates were buffered from the bluff crest to map vulnerability areas. Roads and structures located within vulnerable areas were highlighted to facilitate adaptation planning. Results identified 19 miles of vulnerable roads (11.1 miles of which were county roads) and over 1,300 vulnerable structures. Together these tools can form the foundation for the development of a SLR adaptation strategy for San Juan County and increase the effectiveness of existing management approaches. In addition, these results can be used to identify additional long-term restoration and conservation targets throughout the County.

This document is currently not available here.

Share

COinS
 

Sea Level Rise Vulnerability of San Juan County, Washington

2016SSEC

The objective of this study was to attain greater understanding of the areas within San Juan County that are vulnerable to implications of sea level rise. The resulting countywide mapping tool highlights areas potentially at risk of both inundation and erosion, for which management strategies can be developed to reduce, avert, and mitigate these SLR impacts. Inundation modeling was paired with bluff recession estimates across two SLR scenarios (moderate, high) and planning horizons (2050, 2100). Inundation mapping was conducted by linking local topography data (LIDAR) to tidal datum and elevations for each scenario and planning horizon. Inundation areas were mapped between MHHW, the highest observed water level, and each of the scenarios and planning horizons. Bluff recession estimates were developed based on a stratified sample of background erosion/change rates from different geomorphic shoretypes in the county. Change rates were measured using historic air photo analysis and digital shoreline analysis systems (DSAS). Historic recession rates were used to project future bluff recession (with accelerated recession rates based on rate of sea level rise), across the two scenarios and planning horizons. Projected bluff recession estimates were buffered from the bluff crest to map vulnerability areas. Roads and structures located within vulnerable areas were highlighted to facilitate adaptation planning. Results identified 19 miles of vulnerable roads (11.1 miles of which were county roads) and over 1,300 vulnerable structures. Together these tools can form the foundation for the development of a SLR adaptation strategy for San Juan County and increase the effectiveness of existing management approaches. In addition, these results can be used to identify additional long-term restoration and conservation targets throughout the County.