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GIS gains ground as disaster mitigation tool

Article Abstract:

To avoid property losses resulting from disasters, geographic information systems are increasingly being used as disaster mitigation tools. These systems provide a way to assess potential for disasters and actual losses. The applications of geographic information systems include wildlife management, mapping of telecommunications, power and emergency transportation routes, and mapping of potential for ground shaking and slope stability during an earthquake. The systems can also be used to identify disaster-associated events and to prioritize disaster fund payouts.

Publisher: American Society of Civil Engineers
Publication Name: Civil Engineering
Subject: Science and technology
ISSN: 0885-7024
Year: 1996
Equipment and supplies, Emergency management, Emergency preparedness

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Shake, rattle and map

Article Abstract:

Researchers at the John A. Blume Earthquake Engineering Center, Stanford University, have developed a seismic hazard and risk analysis method using geographic information systems (GIS). The Salt Lake County, UT, Wasatch Fault Zone was analyzed by making area maps that indicated the ground-shaking intensity, landslide and liquefaction potential, and closeness to faults. Maps of all the commercial and residential buildings in the area were made and geocoded. The GIS analysis indicates a damage factor of 36% for an earthquake of 7.5 magnitude.

Author: King, Stephanie A., Kiremidjian, Anne S.
Publisher: American Society of Civil Engineers
Publication Name: Civil Engineering
Subject: Science and technology
ISSN: 0885-7024
Year: 1996
Methods, Risk assessment, Buildings, Earthquake damage

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Net results

Article Abstract:

A neural net reads the input of nonintrusive detection devices and recognizes the signals, indicating the presence of buried armaments. These neural nets when combined with geographic information systems are used for cleanup operations. The neural nets are a form of artificial intelligence and consist of parallel working neurons. The neural network establishes relation between all the data points, and defines the connections and weights of all the points.

Author: Millhouse, Scott, Gifford, Matthew
Publisher: American Society of Civil Engineers
Publication Name: Civil Engineering
Subject: Science and technology
ISSN: 0885-7024
Year: 1997
Computer networks, Reports, Neural networks, Prospecting, Geophysical surveying

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Subjects list: Usage, Geographic information systems
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