ArtsAutosBooksBusinessEducationEntertainmentFamilyFashionFoodGamesGenderHealthHolidaysHomeHubPagesPersonal FinancePetsPoliticsReligionSportsTechnologyTravel

A dangerous earthquake in San Francisco in the next 30 years?

Updated on September 9, 2012

The 1906 San Francisco Earthquake

Source

Potential Losses from a Bay Area Earthquake

Source

The 1906 earthquake was historically large and devastating to the areas surrounding the San Andreas fault. While measures have been taken to prevent another such disaster in the future, not enough has been done based on what is known and what can be done.

In 2003, the U.S. Geological Survey (USGS) calculated a 62% possibility that at least one magnitude 6.7 earthquake will hit the San Francisco Bay area within the next 30 years. The probability rises to 80% of one or more earthquakes of magnitude 6 to 6.7. before 2030. Focusing on the 10 most likely earthquakes to strike, the USGS predicted that the quakes would occur on six of the seven major fault systems in the Bay Area and would range in magnitude from 6.7 on a blind thrust underlying Mt. Diablo to a 7.9 similar to the 1906 rupture on the San Andreas. Also included are the odds for earthquakes on particular faults in the Bay area. (This is the most likely to occur of the 10 earthquakes, with a probability of 15.2% in the next 30 years.)

The study, known as WG02, was led by the USGS and employed the expertise of geologists, seismologists, and other earth scientists. The results can be used to estimate seismic hazard in the Bay area and predict the intensity of ground shaking in potential earthquakes. Extensive planning in insurance and expenditures and in developing building codes are affected by this research as well.

The probability figures were found with reference to plate movement and fault slip. Slip, such as that during aseismic creep, alters the amount of strain, which can affect the likelihood or the magnitude of a future earthquake. Development of the Global Positioning System (GPS), which uses satellites to find points on the Earth's surface, allows for measurements of strain distributed by plate motion on specific faults. (In the Bay area, plate motion is about 1.5 inches a year.) Digging trenches parallel to and across faults and other studies also were used in finding the figures; it can be used to inspect soil layers and show tremor history on faults. In calculating the probabilities of earthquakes in the next 30 years, scientists developed a new set of computer models using physics and statistics. Interactions of faults in the Bay area were considered in calculating figures because every earthquake changes strain on nearby faults.

Scientists looked for faults previously undiscovered as well, for hidden faults can be the most dangerous. For instance, the 1994 Northridge earthquake in southern California was caused by a blind thrust fault. While most Bay area faults are strike-slip, there are also thrust faults that don't reach the Earth's surface, making them difficult to find. These faults cannot only just lead to earthquakes, but they can also alter strain in the area and affect other nearby faults.

To determine probability figures to faults and segments, scientists assigned each a weight to include them in overall calculations. This method helps insure estimates are reliable and allows scientists to update probabilities.

Based on the study, the social and economic damage would be equal or greater to the magnitude 6.9 Loma Prieta earthquake of 1989, which resulted in at least $6 billion in damage to buildings and infrastructure. This does not reflect economic loss due to that damage. A repeat of the 1906 earthquake would rupture four segments of the San Andreas Fault and would cause around $54 billion in building damage. Sixteen thousand homes would be uninhabitable after such an earthquake; the Association of Bay Area Governments estimated that if a repeat of the 1906 San Francisco earthquake occurred, more than 150,000 residences would be uninhabitable. If something similar to the 1906 San Francisco earthquake of magnitude 7.9 were to occur during working hours, an estimated 5800 fatalities would result. (Deaths are highest when an earthquake strikes in the early afternoon; at that time the loss of life is 5 times higher than would be at 2:00 AM when people are most likely at home in wood frame residences.) By 2025 the SF Bay area population is expected to exceed 8.2 million people.

In certain areas, the effects of a potential earthquake can vary based on the region's geography. For instance, strong shaking intensity levels on the Bay margins are due to the amplification effects of soft sediments and fill in those areas. The 1989 earthquake caused considerable damage at places underlain by soft soils, like the San Francisco Marina district and Oakland, and near earthquake rupture beneath the Santa Cruz Mountains. Such conditions can greatly affect structures in those areas. Areas prone to liquefaction include those covered by the huge amount of fill poured into San Francisco Bay since 1845 to transform 77 square miles of tidal and submerged areas into land; and areas by stream channels and flood plains, especially with deposits less than 10,000 years old. Large earthquakes occurring anywhere in the Pacific Ocean can cause tsunamis that may threaten coastal areas. Surface rupture can occur, such as the 8-foot offset at Point Reyes in 1906. Landslides can damage roads, buildings, pipelines, and other infrastructure at steeply sloping areas over loose or soft rock. Fires, infrastructure collapse, dam failure, and hazardous material spills can occur as well.

The Federal Emergency Management Agency's earthquake loss estimation model, HAZUS, was used to determine loss estimates. Ground-shaking inputs for potential scenarios were developed by the same methods used by the USGS in making ShakeMaps that illustrate the degree and distribution of shaking subsequent to significant earthquakes in the San Francisco Bay area.

Bay Area Safety Statuses

The California Hospital Seismic Safety Law requires all hospital structures considered prone to collapse must be retrofitted or replaced by 2013. Many have achieved this and most have done little or none in response to the law. Thus, according to the Office of Statewide Health Planning and Development, about half of the 484 structures in the Bay Area are expected to collapse during or after a major quake. 973 buildings (37%) probably would collapse. Only about 175 buildings, or 15% would be somewhat able to function while only 1% would be completely functional. And since only so many hospitals operative after a major earthquake, many people wouldn't survive after the first 72 hours.

This is the breakdown for the different Bay Area counties (populations as of 2005, seismic ratings as of April 2001):

  • Alameda County - 1448905 people; 19 hospitals; 120742 people/hospital; 108 hospital buildings; 11 buildings will be fully functional
  • Contra Costa County - 1,017,787 people; 12 hospitals; 84816 people/hospital; 55 buildings; 10 fully functional
  • Marin County - 246,960 people; 4 hospitals; 61740 ppl/hospital; 18 buildings; 3 fully functional
  • Napa County - 132,764 people; 2 hospitals; 66382 ppl/hospital; 19 buildings; 6 fully functional
  • San Francisco County - 739,426 people; 14 hospitals; 52816 ppl/hosp; 56 buildings; 2 fully functional
  • San Mateo County - 699,610 people; 9 hospitals; 77734 ppl/hosp; 49 buildings, 6 fully functional
  • Santa Clara County - 1,699,052 people; 14 hospitals; 121360 ppl/hosp; 92 buildings; 6 fully functional
  • Solano County - 411,593 people; 4 hospitals; 102898 ppl/hosp; 20 buildings; 7 fully functional
  • Sonoma County - 466,477 people; 10 hospitals; 50 buildings; 13 fully functional

Bay Area roadways will be affected by the large potential earthquake as well. In the event of a 7.9 earthquake, the Association of Bay Area Governments predicted 1,332 road closures around the San Andreas fault; 146 in Alameda county; 30 in Contra Costa; 77 in Marin; 3 in Napa; 429 in San Francisco; 315 in San Mateo; 250 in Santa Clara; 6 in Solano; and 75 in Sonoma. The I-280, which runs parallel to the fault in San Mateo County, may be affected by the earthquake and many highways and roads near the source will also be susceptible to landsliding. Also, routes 1, 9, 35, 84, and 92 providing critical access to rural communities in western San Mateo and Santa Clara counties and western Marin County may have one or more major closures. The 101 corridor from the San Francisco Airport north through Marin and Sonoma counties is more vulnerable.

However, local roads in the eastern parts of San Mateo County and along the southern Hwy 101 will probably only undergo a few road closures. Route 80, which leads from the northeast, is expected to hold up. Other routes include the 280 through San Francisco, I-580 across San Pablo Bay, I-880 to Oakland, 128 to Sonoma County, 4 to Richmond,85 to San Jose,17 from Los Gatos,12, 37, 87, 116, 121, and 237.

The San Francisco-Oakland Bay Bridge Project plans to create a "lifeline" of a connection between San Francisco, the East Bay, and the I-80 corridor to the east. The California Department of Transportation (Caltrans) intends the SFOBB to provide a high level of post-earthquake transportation service for emergency response and support for the safety and economic livelihood of the Bay Area. The structure would be used to distribute supplies from the San Francisco and Oakland ports to recovery centers.

So much work has been put into predicting future earthquakes that there is little excuse for being caught short-handed in the event of a quake.

working

This website uses cookies

As a user in the EEA, your approval is needed on a few things. To provide a better website experience, hubpages.com uses cookies (and other similar technologies) and may collect, process, and share personal data. Please choose which areas of our service you consent to our doing so.

For more information on managing or withdrawing consents and how we handle data, visit our Privacy Policy at: https://corp.maven.io/privacy-policy

Show Details
Necessary
HubPages Device IDThis is used to identify particular browsers or devices when the access the service, and is used for security reasons.
LoginThis is necessary to sign in to the HubPages Service.
Google RecaptchaThis is used to prevent bots and spam. (Privacy Policy)
AkismetThis is used to detect comment spam. (Privacy Policy)
HubPages Google AnalyticsThis is used to provide data on traffic to our website, all personally identifyable data is anonymized. (Privacy Policy)
HubPages Traffic PixelThis is used to collect data on traffic to articles and other pages on our site. Unless you are signed in to a HubPages account, all personally identifiable information is anonymized.
Amazon Web ServicesThis is a cloud services platform that we used to host our service. (Privacy Policy)
CloudflareThis is a cloud CDN service that we use to efficiently deliver files required for our service to operate such as javascript, cascading style sheets, images, and videos. (Privacy Policy)
Google Hosted LibrariesJavascript software libraries such as jQuery are loaded at endpoints on the googleapis.com or gstatic.com domains, for performance and efficiency reasons. (Privacy Policy)
Features
Google Custom SearchThis is feature allows you to search the site. (Privacy Policy)
Google MapsSome articles have Google Maps embedded in them. (Privacy Policy)
Google ChartsThis is used to display charts and graphs on articles and the author center. (Privacy Policy)
Google AdSense Host APIThis service allows you to sign up for or associate a Google AdSense account with HubPages, so that you can earn money from ads on your articles. No data is shared unless you engage with this feature. (Privacy Policy)
Google YouTubeSome articles have YouTube videos embedded in them. (Privacy Policy)
VimeoSome articles have Vimeo videos embedded in them. (Privacy Policy)
PaypalThis is used for a registered author who enrolls in the HubPages Earnings program and requests to be paid via PayPal. No data is shared with Paypal unless you engage with this feature. (Privacy Policy)
Facebook LoginYou can use this to streamline signing up for, or signing in to your Hubpages account. No data is shared with Facebook unless you engage with this feature. (Privacy Policy)
MavenThis supports the Maven widget and search functionality. (Privacy Policy)
Marketing
Google AdSenseThis is an ad network. (Privacy Policy)
Google DoubleClickGoogle provides ad serving technology and runs an ad network. (Privacy Policy)
Index ExchangeThis is an ad network. (Privacy Policy)
SovrnThis is an ad network. (Privacy Policy)
Facebook AdsThis is an ad network. (Privacy Policy)
Amazon Unified Ad MarketplaceThis is an ad network. (Privacy Policy)
AppNexusThis is an ad network. (Privacy Policy)
OpenxThis is an ad network. (Privacy Policy)
Rubicon ProjectThis is an ad network. (Privacy Policy)
TripleLiftThis is an ad network. (Privacy Policy)
Say MediaWe partner with Say Media to deliver ad campaigns on our sites. (Privacy Policy)
Remarketing PixelsWe may use remarketing pixels from advertising networks such as Google AdWords, Bing Ads, and Facebook in order to advertise the HubPages Service to people that have visited our sites.
Conversion Tracking PixelsWe may use conversion tracking pixels from advertising networks such as Google AdWords, Bing Ads, and Facebook in order to identify when an advertisement has successfully resulted in the desired action, such as signing up for the HubPages Service or publishing an article on the HubPages Service.
Statistics
Author Google AnalyticsThis is used to provide traffic data and reports to the authors of articles on the HubPages Service. (Privacy Policy)
ComscoreComScore is a media measurement and analytics company providing marketing data and analytics to enterprises, media and advertising agencies, and publishers. Non-consent will result in ComScore only processing obfuscated personal data. (Privacy Policy)
Amazon Tracking PixelSome articles display amazon products as part of the Amazon Affiliate program, this pixel provides traffic statistics for those products (Privacy Policy)
ClickscoThis is a data management platform studying reader behavior (Privacy Policy)