Database and Data Mining

   doi:10.3850/978-981-07-0188-8_P060

ABSTRACT

In Singapore, a systematic study of landslides was carried out through a number of activities, including surveying, database development and real-time monitoring of landslides. For that purpose, an attempt was made to collect, integrate and analyze the historical dataset in order to improve the current information on landslides. This dataset is a spatial representation of a database of landslides occurred within Singapore, based on published and unpublished information and field observations. The type and quality of information collected, and limitations of the data are described. The analysis has allowed verifying that the rotational landslide type have been the most common types of movement with some slides exhibiting translational or slump movements. The distribution of historical landslides shows that very few major landslides have occurred in Singapore (greater than 10 m in height) and minor, shallow landslides have occurred frequently. The empirical rainfall threshold concept for assessment of landslide initiation is simple to apply. The observations of past landslide events suggest that antecedent rainfall greater than 100 mm over a 6 day period appears to be the median trigger value for landslides in Singapore.

© 2012 by Geotechnical Society of Singapore (GeoSS)