Open source geographical resources analysis support system (GRASS) for landslide hazard assessment
Purpose - The primary aim of this research is to investigate the application of open source geographic information system software, geographical resources analysis support system (GRASS) for landslide hazard assessment.Design methodology approach - Five parameters affecting landslide occurrence deri...
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Published in | Disaster prevention and management Vol. 14; no. 4; pp. 522 - 532 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Bradford
Emerald Group Publishing Limited
2005
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Subjects | |
Online Access | Get full text |
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Summary: | Purpose - The primary aim of this research is to investigate the application of open source geographic information system software, geographical resources analysis support system (GRASS) for landslide hazard assessment.Design methodology approach - Five parameters affecting landslide occurrence derived from topographical, geological and land use maps of Cameron highland were used for the assessment.Findings - The results showed that about 93 percent of the study area falls under zone II that is of low hazard, with less than 7 percent on zone III with moderate hazard and only less than 1 percent falls under zone IV, which is of high hazard.Research limitations implications - The accuracy of the landslide hazard map needs to be assessed by cross-correlation with landslide occurrence in the field.Practical implications - The map produced showed the potential application of GRASS as a tool for producing landslide hazard assessment map.Originality value - The major outcome of this research is the possible use of open source GIS software in the application of landslide hazard assessment. The capability of GRASS in performing such environmental assessment will certainly attract many researchers and organizations with limited budgets, especially in developing countries such as Malaysia. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 0965-3562 1758-6100 |
DOI: | 10.1108/09653560510618357 |