Science News

... from universities, journals, and other research organizations

Computers Determine When To Stop Searches For Missing People At Sea

Nov. 27, 2008 — British researchers are developing a new computer model to predict how long someone will survive when lost at sea, which will in turn determine when a search and rescue operation may be stopped.


Share This:

The Search and Rescue Survival Model is being developed by the University of Portsmouth’s Sports Science and Mathematics departments and the US Coast Guard.

It aims to support the US Coast Guard target of saving 93 per cent of victims annually - between 3000-6000 people - whose lives are in danger at sea.

“Using this new computer model will take pressure off humans making very emotional and sensitive decisions about when to end a search,” said Professor Mike Tipton, human and applied physiologist, from the University of Portsmouth.

“When the model predicts that a victim can no longer survive, the search and rescue team can stop or redeploy the search.

“It will ensure that Coast Guard personnel are not exposed to the high risks associated with search and rescue operations any longer than necessary and will also help to save time and resources,” he said.

The US Coast Guard currently uses a software system known as SAROPS (Search and Rescue Optimal Planning System) to calculate how far a person will have drifted and how large the search area should be.

Data such as wind speed, sea state and water temperature is entered into SAROPS along with information about the victim’s sex, height, weight and what they were wearing to determine exactly how the search should be conducted.

“Calculating survival time will add another layer to SAROPS; it will be able to predict not only where a search should be conducted but when it should be stopped,” said Professor Tipton.

Chris Turner, Ocean Engineer and Manager for the project for the US Coast Guard in Groton, Connecticut, sought the help of the university because of its international reputation for expertise in the area of survival in the sea.

“The University of Portsmouth has been able to tap into and analyze data held by the Institute of Naval Medicine and the Royal National Lifeboats Institution, both critical to the development of this survival model. To our knowledge no other similar repository of this information exists - even in the US.

“The development of this technology is very exciting. It will be trialled in American waters in late 2009 and once thoroughly tested, the aim is to roll it out to the whole of the US,” he said.

Share this story on Facebook, Twitter, and Google:

Other social bookmarking and sharing tools:

|

Story Source:

The above story is reprinted from materials provided by University of Portsmouth.

Note: Materials may be edited for content and length. For further information, please contact the source cited above.


APA

MLA

Note: If no author is given, the source is cited instead.

Search ScienceDaily

Number of stories in archives: 138,557

Find with keyword(s):
 
Enter a keyword or phrase to search ScienceDaily's archives for related news topics,
the latest news stories, reference articles, science videos, images, and books.

Recommend ScienceDaily on Facebook, Twitter, and Google:

Other social bookmarking and sharing services:

|

 
Interested in ad-free access? If you'd like to read ScienceDaily without ads, let us know!
  more breaking science news

Social Networks


Follow ScienceDaily on Facebook, Twitter,
and Google:

Recommend ScienceDaily on Facebook, Twitter, and Google +1:

Other social bookmarking and sharing tools:

|

Breaking News

... from NewsDaily.com

  • more science news

In Other News ...

  • more top news

Science Video News


Sea Urchins Reveal Medical Mysteries

Researchers are using the sea urchins to study and understand diseases like cancer, Alzheimer's disease, Parkinson's disease and muscular dystrophy.. ...  > full story

Strange Science News

 

Free Subscriptions

... from ScienceDaily

Get the latest science news with our free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

Feedback

... we want to hear from you!

Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?

Post this page to your favorite social bookmarking site:
Include this item in your blog or web site:
Cite this article in your essay, paper, or report:
Email this page's link to a friend or colleague: