Dynamic Landslide Warning from Rainfall and Soil Suction Measurement

Publication Date January 1, 2010
Author Mairaing, W.Thaiyuenwong, S.
Countries :
Disaster Management Theme -
Disaster Type Landslide
Document Type Research Paper
Languange English

Abstact :
Landslides due to heavy rainfall are remarkably increased during the last decade. Past recordshows that Thailand had lost in average 15 lives and 105 mbaht annually. The method of prediction and warning can be efficiently analyzed by geotechnical engineering method. The soil sampling and testing of unsaturated characteristics such as SWCC, permeability function, Fredlund’s strength model etc. had to be carefully done. Infiltration model during the rain can be predicted and verified by the field observation. Prediction of stability and probability of failure on the target area was applied the GIS and database to obtain the real-time result and presentation on the map. The merit of the model is that when the rainfall data was input continuously to the model the potential landslide area can be shown almost real time after quick calculation. Triggered rain fall chart of 24 hrs triggered and 3 days pre-wetted rainfall can also pre-analyzed in advance for manually warning for specific area without computer system. The case study at Pathong Bay area, Phuket is given as the example for the prediction.
The ASEAN Disaster Information Network (ADINet) is a repository of information concerning hazards and disasters that have happened in the region. The platform is open for public, which means that the public can submit information about any hazard and disaster to the AHA Centre. Thereafter, the AHA Centre will verify and validate any submitted information to ensure the accuracy of the data inputs. The AHA Centre can also add new information when relevant and as necessary. ADINET has been recording disaster information in the region since the AHA Centre was operational in 2012.

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