Mr. Prasong Thammapala Profile

Prasong Thammapala

at Beihang Univ

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Proceedings Article | 9 December 2015 Paper

Using geo-informatics for landslide risk map in northern Thailand

Prasong Thammapala, Jingnong Weng

Proceedings Volume 9808, 98081P (2015) https://doi.org/10.1117/12.2209619

KEYWORDS: Landslide (networking), Statistical analysis, Natural disasters, Geographic information systems, Data modeling, Factor analysis, Geology, Spatial analysis, Satellites, Satellite imaging

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The Kingdom of Thailand has been facing with natural disasters every year: landslide, drought, wind storm, landslide etc. especially, the last decade the natural disaster was most frequency and devastated vast areas. Furthermore, landslide occurrences have become more and more recurrence and human impacts have been increasing on seriously natural disasters problem during the past couple of decades. The study has been designed to analyze the risk landslide areas for landslide management in Phetchabun province, Thailand. This study aim to apply the geo-informatics technology, create landslide risk map, and develop landslide monitoring and warning systems used for formulating preparedness and recovery plans. This analyzed the concerned physical and environmental factors though statistical techniques and spatial analysis. The analyzed factors included with river, elevation, street, land use, sub-basin area, slope, drainage and rainfall. Potential Surface Analysis (PSA) technique has been used for analysis included with overlaying and Weighting-Rating Model for landslide risk area. The validation model compared with historical data. The result could show risk areas of landslide in Phetchabun province that high risk areas are covering north-eastern and central of province. In addition, we divided risk area as three levels; high risky, moderate and less. Furthermore, the consequences can be protect or relieved by using appropriate measures; including both publicizing risk information and be prepared for the happening of such disasters. However, some of spatial data have to up to date and improve to high accuracy.

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