Spiral band model optimization by chaos immune evolutionary algorithm for locating tropical cyclones
A foundation of forecasting Tropical Cyclones (TCs) is to locate their centers. There are still many difficulties in TC center locating, especially when there is an unclear eye or ...
Landslide Susceptibility Mapping by Neuro-Fuzzy Approach in a Landslide-Prone Area (Cameron Highlands, Malaysia)
This paper presents the results of the neuro-fuzzy model using remote-sensing data and geographic information system for landslide susceptibility analysis in a part of the Cameron ...
Predicting tropical cyclogenesis with a global mesoscale model: Hierarchical multiscale interactions during the formation of tropical cyclone Nargis (2008)
Very severe cyclonic storm Nargis devastated Burma (Myanmar) in May 2008, caused tremendous damage and numerous fatalities, and became one of the 10 deadliest tropical cyclones (TC...
Predicting tropical cyclogenesis with a global mesoscale model: Hierarchical multiscale interactions during the formation of tropical cyclone Nargis (2008)
Very severe cyclonic storm Nargis devastated Burma (Myanmar) in May 2008, caused tremendous damage and numerous fatalities, and became one of the 10 deadliest tropical cyclones (TC...
Integrated evaluation of the Mekong River flood using benefit calculation
Flood benefit was calculated for integrated evaluation of the Mekong River flood and inundation in Cambodia. Flood and inundation were simulated using dynamic wave model in main ch...
Landslide Susceptibility Mapping of a Catchment Area Using Frequency Ratio, Fuzzy Logic and Multivariate Logistic Regression Approaches
Geospatial database creation for landslide susceptibility mapping is often an almost inhibitive activity. This has been the reason that for quite some time landslide susceptibility...
Landslide Susceptibility Assessment and Factor Effect Analysis: Backpropagation Artificial Neural Networks and Their Comparison with Frequency Ratio and Bivariate Logistic Regression Modelling
Data collection for landslide susceptibility modeling is often an inhibitive activity. This is one reason why for quite some time landslides have been described and modelled on the...
Landslide susceptibility mapping on Panaon Island, Philippines using a geographic information system
For landslide susceptibility mapping, this study applied, verified and compared the Bayesian probability model, the weights-of-evidence to Panaon Island, Philippines, using a geogr...
Predictability of tropical cyclone events on intraseasonal timescales with the ECMWF monthly forecast model
The objective of this study is to provide evidence of predictability on intraseasonal time scales (10–30 days) for western North Pacific tropical cyclone formation and subsequent...
Remote sensing and GIS-based landslide hazard analysis and cross-validation using multivariate logistic regression model on three test areas in Malaysia
This paper presents the results of the cross-validation of a multivariate logistic regression model using remote sensing data and GIS for landslide hazard analysis on the Penang, C...
Remote Sensing and GIS-Based Landslide Hazard Analysis and Cross-Validation Using Multivariate Logistic Regression Model on Three Test Areas in Malaysia
This paper presents the results of the cross-validation of a multivariate logistic regression model using remote sensing data and GIS for landslide hazard analysis on the Penang, C...
Future change of North Atlantic tropical cyclone tracks: Projection by a 20-km-mesh global atmospheric model
Possible future change in tropical cyclone (TC) activity over the North Atlantic (NA) was investigated by comparison of 25-yr simulations of the present-day climate and future chan...
China drought highlights future climate threats
Yunnan's worst drought for many years has been exacerbated by destruction of forest cover and a history of poor water management...
Exploring the meaning of health security for disaster resilience through people's perspectives in Bangladesh
There has been significant interest in the rhetoric of health security in recent years from both global and local perspectives. Understanding health in the context of disaster vuln...