Near-field tsunami forecast system based on near real-time seismic moment tensor estimation in the regions of Indonesia, the Philippines, and Chile
We have developed a near-field tsunami forecast system based on an automatic centroid moment tensor (CMT) estimation using regional broadband seismic observation networks in the re...
Beach forest changes (2003–2013) in the tsunami-affected area of Phang Nga, Thailand from multi-temporal satellite data
Beach forests are important ecological zones in many coastal regions. Many are under increasing anthropogenic and natural stress. Beach forest changes and their causes were examine...
MULTI-MODEL OPTIMIZATION FOR SHELTER-SITE SELECTION: A CASE STUDY IN BANTA MUNICIPALITY, THAILAND
Due to the world is stricken by disasters, people got effect both loss of human life and loss of assets. Therefore, urban planning is important for evacuation planning and shelter ...
5 May 2014 MW 6.1 Mae Lao (Northern Thailand) Earthquake: Interpretations of Recorded Ground Motion and Structural Damage
A moderate left-lateral strike-slip earthquake of MW 6.1 occurred on 5 May 2014 in northern Thailand, causing damage to the town of Mae Lao and nearby municipalities. Based on an i...
Spatial prediction of rainfall-induced landslides for the Lao Cai area (Vietnam) using a hybrid intelligent approach of least squares support vector machines inference model and artificial bee colony optimization
The main objective of this study is to produce a landslide susceptibility map for the Lao Cai area (Vietnam) using a new hybrid intelligent method based on least squares support ve...
Spatial Prediction of Rainfall-Induced Shallow Landslides Using Hybrid Integration Approach of Least-Squares Support Vector Machines and Differential Evolution Optimization: A Case Study in Central Vietnam
This study represents a hybrid intelligence approach based on the differential evolution optimization and Least-Squares Support Vector Machines for shallow landslide prediction, na...
Simulation of Estuary Transverse Flow Salinity Intrusion During Flood Event: Case Study of Selangor River Estuary
The objective of this paper was to describe the effect of estuarine flooding leading to estuary transverse flow salinity intrusion specifically in the Selangor River estuary. The s...
Hazard mapping related to structurally controlled landslides in Southern Leyte, Philippines
The 2006 Guinsaugon landslide in Saint Bernard, Southern Leyte, is one of the largest known landslides in the Philippines in recent history. It consists of a 15–20?million?m3 roc...
An investigation of recent storm histories using Ground Penetrating Radar at Bay-Bay Spit, Bicol, Central Philippines
The Philippine archipelago lies in the path of seasonal tropical cyclones, and much of the coast is prone to periodic inundation and overwash during storm surges. On example is typ...
Assessment of Flood Disaster Impacts in Cambodia: Implications for Rapid Disaster Response
Disaster monitoring systems can provide near real time estimates of population and infrastructure affected by sudden onset natural hazards. This information is useful to decision m...
Spatial Prediction Models for Shallow Landslide Hazards: A Comparative Assessment of the Efficacy of Support Vector Machines, Artificial Neural Networks, Kernel Logistic Regression, and Logistic Model Tree
Preparation of landslide susceptibility maps is considered as the first important step in landslide risk assessments, but these maps are accepted as an end product that can be used...
Long- and short-term triggering and modulation of mud volcano eruptions by earthquakes
Earthquakes can trigger the eruption of mud. We use eruptions in Azerbaijan, Italy, Romania, Japan, Andaman Islands, Pakistan, Taiwan, Indonesia, and California to probe the nature...
The 2004 tsunami and mental health in Thailand: a longitudinal analysis of one-and two-year post-disaster data
Some 280,000 people died in the Indian Ocean tsunami on 26 December 2004. This cohort study examined its impact on mental health one and two years later. It did so by investigating...
An Application of Partitive Clustering Algorithm for Landslide Hazard Zonation
This paper presents how spatial data mining is achieved using spatial clustering. The study utilized partitive clustering technique such as K-Means and Self-Organizing Map Algorith...