My WebLink
|
Help
|
About
|
Sign Out
Home
Browse
Search
Supplemental Materials 2026-01-28
>
OnTrack
>
CU
>
2025
>
CU 25-03
>
Supplemental Materials 2026-01-28
Metadata
Thumbnails
Annotations
Entry Properties
Last modified
1/29/2026 11:47:44 AM
Creation date
1/29/2026 11:45:45 AM
Metadata
Fields
Template:
PDD_Planning_Development
File Type
CU
File Year
25
File Sequence Number
3
Application Name
Emergency Department W 6th Ave
Document Type
Supplemental Materials
Document_Date
1/28/2026
External View
Yes
There are no annotations on this page.
Document management portal powered by Laserfiche WebLink 9 © 1998-2015
Laserfiche.
All rights reserved.
/
186
PDF
Print
Pages to print
Enter page numbers and/or page ranges separated by commas. For example, 1,3,5-12.
After downloading, print the document using a PDF reader (e.g. Adobe Reader).
View images
View plain text
The Oregon Resilience Plan – Critical and Essential Buildings – February 2013 75 <br /> <br /> <br />moderate earthquakes, these buildings pose the greatest threat to life safety of any other building type <br />in the state of Oregon. This, along with the fact that URM and non-ductile concrete buildings can be <br />found in all occupancy categories, was the main reason that our task group included these vulnerable <br />buildings in our study of critical buildings. <br />Building Data and Analysis <br />After identifying the building sectors, the task group went on to identify data sources for the existing <br />building stock that could be used for assessment of the buildings’ seismic resilience. Two sources were <br />used: <br /> The 2007 Statewide Seismic Needs Assessment: Implementation of Oregon 2005 Senate Bill 2 <br />Relating to Public Safety, Earthquakes, and Seismic Rehabilitation of Public Buildings (Open File <br />Report 07-020) prepared by the Oregon Department of Geology and Mineral Industries <br />(DOGAMI), hereafter referred to as the 2007 SSNA. <br /> The Hazus Earthquake Model developed by the Department of Homeland Security and FEMA, <br />hereafter referred to as FEMA Hazus. <br />The 2007 SSNA is an assessment of existing hospitals, police and fire stations, emergency operations <br />centers, and K-12 schools throughout Oregon. This assessment was conducted using a rapid screening <br />method developed by FEMA to identify potential seismic hazards. The report provides evaluations of <br />each facility, which were visited by screeners to establish a Rapid Visual Screening (RVS) score based on <br />the FEMA 154 methodology. The data was compiled by DOGAMI, and the resulting scores were then <br />reviewed by the structural engineers in our task group, who, in the case of emergency operation <br />centers, police stations, fire stations, and acute care hospitals, reviewed the screening for every building <br />and converted the RVS scores to expected recovery scores. These scores were then placed into the <br />overall Critical Building Target States of Recovery Matrix shown in Figure 4.2. A similar procedure was <br />also used for schools, but because of the number of school buildings, only about 10 percent of the total <br />school building stock was reviewed directly. Additionally, the task group took into consideration tsunami <br />inundation, liquefaction, and landslides, which were not a part of the DOGAMI study. <br />To assess residential buildings, community retail centers, banks, critical government facilities, and <br />vulnerable buildings, data for expected damage estimates based on a Cascadia subduction zone event <br />were extracted from the FEMA Hazus model, and an analysis was performed to develop expected <br />recovery scores, which were then added to the overall matrix shown in Figure 4.3. Unlike the 2007 SSNA <br />data, which looked at each individual building, the FEMA Hazus model utilizes a complex series of <br />statistical analyses to predict damage estimates. This involves making predictions about the quantity, <br />size, and construction of buildings in various sectors based on census data, and then calculating an <br />expected performance for these buildings using additional statistical models. While this is a useful tool <br />for looking at large populations of buildings, the outcomes do not correlate directly to any specific <br />buildings. Because more detailed reports were not available, this data was used to establish expected
The URL can be used to link to this page
Your browser does not support the video tag.