APPLICATION OF SARMAP TO ESTIMATE PROBABLE SEARCH AREA FOR OBJECTS LOST AT SEA

Citation
Ml. Spaulding et E. Howlett, APPLICATION OF SARMAP TO ESTIMATE PROBABLE SEARCH AREA FOR OBJECTS LOST AT SEA, Marine Technology Society journal, 30(2), 1996, pp. 17-25
Citations number
14
Categorie Soggetti
Oceanografhy,"Engineering, Marine
ISSN journal
00253324
Volume
30
Issue
2
Year of publication
1996
Pages
17 - 25
Database
ISI
SICI code
0025-3324(1996)30:2<17:AOSTEP>2.0.ZU;2-9
Abstract
The Search and Rescue Mapping and Analysis Program (SARMAP), a persona l computer based search and rescue model with a Windows-based user int erface, was employed to predict the probable search area for two accid ents: a Rhode Island (RI) couple who were thought to have committed su icide by jumping from the Pell Bridge across the lower East Passage, N arragansett Bay in November 1993 and a shipping container lost at sea from the KAMINA in April 1994 off the coast of Valparaiso, Chile. In t he case of the RI couple, simulations were performed assuming that the bodies were negatively, neutrally, and positively buoyant. The most p robable search areas were identified for each case and provided to loc al and state police. The police search, immediately after the incident , included side scan sonar surveys, trawling and diving operations. Bu t, it was unsuccessful in locating either body. In late August 1994, o ne of the couple's skulls was collected in a fishing trawl-it was foun d north of the bridge and positively identified. Leg and hip bones wer e also found several hundred meters north of the bridge. The SARMAP pr edicted search area for the negatively and neutrally buoyant cases wer e consistent with retrieval of skeletal parts. lit the case of the acc ident off Chile, a simulation was performed for the movement of a half submerged shipping container lost at sea from the vessel KAMINA. The model correctly predicted the container path and its location over a p eriod of 18 hours when tracking data were available. The two examples for substantially different problems, illustrate SARMAP's ability to p rovide useful data to assist in search and rescue operations.