Landslides pose a persistent threat to El Salvador's population, economy and environment. Government officials share responsibility in managing this hazard by alerting populations when and where landslides may occur as well as developing and enforcing proper land use and zoning practices. This thesis addresses gaps in current knowledge between identifying precisely when and where slope failures may initiate and outlining the extent of the potential debris inundation areas. Improvements on hazard maps are achieved by considering a series of environmental variables to determine causal factors through spatial and temporal analysis techniques in Geographic Information Systems and remote sensing. The output is a more dynamic tool that links high resolution geomorphic and hydrological factors to daily precipitation. Directly incorporable into existing decision support systems, this allows for better disaster management and is transferable to other developing countries.
|Commitee:||Irwin, Daniel, Sever, Tom|
|School:||The University of Alabama in Huntsville|
|School Location:||United States -- Alabama|
|Source:||MAI 52/02M(E), Masters Abstracts International|
|Subjects:||Geographic information science, Geophysics, Hydrologic sciences, Geomorphology, Meteorology, Atmospheric sciences, Remote sensing|
|Keywords:||Decision support, El Salvador, Geographic Information Systems, Landslides, Logistic regression, Natural hazards|
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