Editing San Andreas Fault (section)

==== The HayWired Scenario ====
This scenario hypothesizes the potential effects of a 7.0 magnitude earthquake on the San Andreas Fault in the San Francisco Bay Area. It aims to estimate the impacts on urban infrastructures along with the rebuilding efforts to both the landscape and economy. This study combines not only the geological impacts/effects of the event, but also the societal impacts such as property damage, economic rebuilding, and aims at estimating damages if cities increased risk-reduction. It was developed for preparedness geared towards Bay Area residents and as a warning with an attempt to encourage local policy makers to create infrastructure and protections that would further risk reduction and resilience-building.<ref>{{Cite web |last1=Wein |first1=Ann |last2=Jones |first2=Jamie L. |last3=Johnson |first3=Laurie A. |last4=Kroll |first4=Cynthia |last5=Strauss |first5=Jennifer |last6=Witkowski |first6=David |last7=Cox |first7=Dale A. |title=Fact Sheet: The HayWired Earthquake Scenario |url=https://pubs.usgs.gov/fs/2021/3054/fs20213054.pdf |access-date=October 18, 2022 |website=The HayWired Earthquake Scenario}}</ref> This study is a combined effort from experts in the physical sciences, social sciences, and engineering both in the public and private sectors- ranging from urban planners to economists/business professionals. Not only does this study aim to estimate the impacts of the event, but aims to estimate the years of rebuilding and funding needed to recover communities from a potential disaster such as the HayWired Scenario.

The first volume of the HayWired Scenario study was released in 2017, with consistent continuations and contributions by engineers. This continuation was published in the second volume, Engineering Implications, in 2018.<ref>{{Cite journal |date=2000 |title=Landslide Hazards |url=http://dx.doi.org/10.3133/fs07100 |journal=Fact Sheet |doi=10.3133/fs07100 |bibcode=2000usgs.rept...31W |issn=2327-6932 |last1=Water Resources Division |first1=U. S. Geological Survey |page=31 }}</ref>

===== Estimating damages =====
As of the 2021 Fact sheet update, there are several estimates on damages ranging from the approximate people affected at home, work, effects of lifeline infrastructures such as telecommunications, and more. This group of scientists have worked together to create estimates of how hazards such as liquefaction, landslides, and fire ignition will impact access to utilities, transportation, and general emergency services.<ref>{{Cite web |title=HayWired Scenario {{!}} U.S. Geological Survey |url=https://www.usgs.gov/programs/science-application-for-risk-reduction/science/haywired-scenario#overview |access-date=2024-10-23 |publisher=United States Geological Survey |language=en}}</ref>

This study goes into detail about the specific populations to be hardest impacted by a potential earthquake of a 7.0 magnitude, specifically in the San Francisco Bay Area. This includes intensified hardships for those with low-income, racially and culturally-diverse populations, and people with literacy hardships that would significantly "increase their risk of displacement and add to recovery challenges" (Wein et al.).

===== Scientific and economic involvement =====
In addition to societal and landscape impacts, this study looks at potential business interruptions. This portion estimates impacts to the California economy within the first 6 months post-recovery from the event through estimates of "utility outages, property damages, and supply chain disruptions resulting in an estimated $44 billion of gross state product (GSP) losses, or translated at 4% of the California economy"(Wein et al.).<ref>{{Cite report |chapter-url=https://pubs.usgs.gov/publication/fs20213054 |chapter=The HayWired Earthquake Scenario—Societal Consequences |last1=Wein |first1=Anne M. |last2=Jones |first2=Joseph L. |date=2021 |publisher=United States Geological Survey |issue=2021–3054 |doi=10.3133/fs20213054 |language=en |last3=Johnson |first3=Laurie A. |last4=Kroll |first4=Cynthia |last5=Strauss |first5=Jennifer A. |last6=Witkowski |first6=David |last7=Cox |first7=Dale A.|title=Fact Sheet |doi-access=free }}</ref> This study also projects the recovery of jobs lost in highly impacted areas, such as Alameda County, could take up to 10 years to fully recover job losses and possible economic recession. Trajectories for economic recovery are improved by reconstruction but also delayed with impacts to the construction industry.