CDC STACKS serves as an archival repository of CDC-published products including scientific findings, journal articles, guidelines, recommendations, or other public health information authored or co-authored by CDC or funded partners.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
Details:
-
Personal Author:
-
Corporate Authors:
-
Description:"This report discusses the configuration and system deployment for the post-disaster surface seismic system for detecting and locating trapped miners. It analyzes the results of 15 field tests to define a signal model, background noise levels, and subarray performance. A waveform modeling procedure is described and compared with observed waveforms. The resulting similarity indicates that the major factors affecting the signal amplitude, waveform, and spectral character are understood. A model is presented which gives the signal amplitude as a function of source type, source depth, and horizontal offset between source and receiver. Using this model a curve is presented gives the range at which a signal will be detected for different signal and noise levels. Finally, and most important relative to the mission of the system, the ability of the system to detect signals on one or more subarrays is put into a probabilistic framework. For a strong source it is almost certain that a subarray directly over the source will detect the signal. After signal processing, it is highly likely that signals will be detected on sufficient subarrays to locate the trapped miner. Location errors have been found to be less than 100 ft in the majority of cases. Techniques have been used that can reduce the location errors to this level even when soil layer variation between subarrays is severe." - NIOSHTIC-2
NIOSH no. 10002204
-
Subjects:
-
Series:
-
Subseries:
-
Document Type:
-
Genre:
-
Pages in Document:iii, 55 numbered pages
-
NIOSHTIC Number:10002204
-
Resource Number:RI-8567
-
Collection(s):
-
Main Document Checksum:
-
Download URL:
-
File Type:
[PDF-2.45 MB]
