The objective of this study is to generate a flood hazard map based on geomorphologic approach employing Shuttle Radar Topographic Mission (SRTM) DEM and satellite image data (ASTER and LANDSAT). Supervised classification of satellite images is implemented to characterize land cover types. Moreover, the Modified Normalized Difference Water Index (MNDWI) is undertaken to identify moist surface o...

Twenty-two flood-causative factors were nominated based on morphometric, hydrological, soil permeability, terrain distribution, and anthropogenic inferences further analyzed through the novel hybrid machine learning approach of random forest, support vector machine, gradient boosting, naïve Bayes, decision tree (ML) models. A total 400 flood nonflood locations acted as target variables hazard z...

Abstract Although Brazilian seismic activity is defined as low to moderate, it known that intraplate earthquakes can also be associated high intensities. In Brazil, the state of Rio Grande do Norte (RN) one most seismically active areas, but there no specific study evaluate hazard in this region. This paper presents analyses towards improving map, peak ground acceleration value and response spe...

BACKGROUND Low mean arterial pressure (MAP) and deep hypnosis have been associated with complications and mortality. The normal response to high minimum alveolar concentration (MAC) fraction of anesthetics is hypotension and low Bispectral Index (BIS) scores. Low MAP and/or BIS at lower MAC fractions may represent anesthetic sensitivity. The authors sought to characterize the effect of the trip...

abstract aim of this research is landslide hazard zoning in syahdare watershed using logistic regression. therefore, outset landslide points recognized using air photography and extensive field studies. then distribution of landslide map was makes. then each effective element on landslide occurred for example slope, aspect, elevation, litho logy, land use, distance of road, distance of drainage...

Assessing seismic hazards involves specifying the likelihood, magnitude and location of earthquakes in a region. Predicting the seismic hazards is the first step in reducing the impact of the damage caused by an earthquake.  In this study, to fully utilize all the known parameters which may possibly affect the occurrence of earthquakes (mb ≥ 4.5); a data-driven rule-extraction method called the...