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Flood Vulnerability Assessment: City of Beaufort, SC
... The city has experienced 13 coastal flood events since 1980, with estimated surge height records of 0.8-1.52 m above Mean Higher High Water. In the City of Beaufort, 12%-14% of businesses are exposed to coastal flooding (Knapp et al., 2019). Prior analysis indicated that the total business sales volume in this city can face about $155.7 million in economic damages with 2 m of SLR (Knapp et al., 2019). ...
... In the City of Beaufort, 12%-14% of businesses are exposed to coastal flooding (Knapp et al., 2019). Prior analysis indicated that the total business sales volume in this city can face about $155.7 million in economic damages with 2 m of SLR (Knapp et al., 2019). However, it is not simply businesses and people living in urban areas who are in danger. ...
Estimating the exposure of the coastal systems to natural hazards using coastal vulnerability models, which benefits from index-based approaches and utilize information about the characteristics of the system, has become extensively adopted in the past few decades in coastal management and planning. However, the explanatory power of index-based approaches and subjective selection of vulnerability factors are still in dispute. This study aims to introduce a stochastic coastal vulnerability model and assess its skill in characterizing and preserving simultaneous information about various comprising factors. Two common coastal vulnerability indices, additive coastal vulnerability index (ACVI) and multiplicative coastal vulnerability index (MCVI) are formed, and then their performances are compared to the proposed probabilistic coastal vulnerability index (PCVI) for the coastal counties of South Carolina. PCVI is developed based on the joint-probability analysis of vulnerability factors using copula functions, which makes it capable of preserving the importance of multivariate information, and in turn, forms a more informative index. The performance of indices is benchmarked against post-hazard flood maps and the cost of fatalities from Hurricane Florence (2018) and Hurricane Matthew (2016). The PCVI revealed more accurate results in terms of explaining the importance of vulnerability associated with biophysical and socio-economic factors. The capability of PCVI to preserve multivariate vulnerability information offers a more pragmatic approach to reflect the exposure and adaptive capacity of coastal communities facing coastal hazards.
Channel networks with artibtrary drainage density or resolution can be extracted from digital elevation data. However, for digital elevation data derived networks to be useful they have to be extracted at the correct length scale or drainage density. Here we suggest a criterion for determining the appropriate drainage density at which to extract networks from digital elevation data. The criterion is basically to extract the highest resolution (highest drainage density) network that satisfies scaling laws that have traditionally been found to hold for channel networks. Procedures that use this criterion are presented and tested on 21 digital elevation data sets well distributed throughout the U.S.
Annual Adopted Budget and Capital Improvement Plan Fiscal Year
- Beaufort
- Sc
of Beaufort, SC. (n.d.). Moving to Beaufort. Retrieved 2 June, 2019 from
https://cityofbeaufort.org/318/Moving-to-Beaufort
City of Beaufort, SC. (2018). Annual Adopted Budget and Capital Improvement Plan Fiscal
Year 2018-2019.
How To: Create a watershed model using the Hydrology toolset
- Esri
Esri. (2016, May 5). How To: Create a watershed model using the Hydrology toolset. Retrieved
23 June, 2019 from https://support.esri.com/en/technical-article/000012346
Identifying stream networks
- Esri
Esri. (n.d.). Identifying stream networks. Retrieved 23 June, 2019, from
http://pro.arcgis.com/en/pro-app/tool-reference/spatial-analyst/identifying-streamnetworks.htm
- E Fly
- S Bath
- A Brennan
Fly, E., Bath, S., & Brennan, A. (2017, January 17). U.S. Climate Resilience Toolkit. Retrieved 8
December 6). Global Sea Level Rise Scenarios for the United States National Climate Assessment
National Oceanic and Atmospheric Administration (NOAA). (n.d.). Tidal Datums. Retrieved 18
September, 2019 from https://tidesandcurrents.noaa.gov/datum_options.html
National Oceanic and Atmospheric Administration (NOAA). (2012, December 6). Global Sea
Level Rise Scenarios for the United States National Climate Assessment. NOAA
Technical Report OAR CPO-1. Silver Springs, Maryland.
2013-2017 American Community Survey 5-Year Estimates
- U S Bureau
U.S. Census Bureau. (2017). 2013-2017 American Community Survey 5-Year Estimates,
Selected Economic Characteristics.
Point Cloud files with Orthometric Vertical Datum North American Vertical Datum of 1988 (NAVD88) using GEOID12B
- Matthew Topobathy Usace Post
- Lidar
USACE Post-Matthew Topobathy Lidar: Southeast Coast (VA, NC, SC, GA, FL)
Point Cloud files with Orthometric Vertical Datum North American Vertical Datum of
1988 (NAVD88) using GEOID12B