Search results for "Hazard mapping"

showing 5 items of 5 documents

Probabilistic Flood Hazard Mapping Using Bivariate Analysis Based on Copulas

2017

This study presents a methodology to extract probabilistic flood hazard maps in an area subject to flood risk, taking into account uncertainties in the definition of design hydrographs. Particularly, the authors present a new method to produce probabilistic inundation and flood hazard maps in which the hydrological input (i.e., synthetic flood design event) to a 2D hydraulic model has been obtained by using a bivariate statistical analysis (copulas) to generate flood peak discharges and volumes. This study also aims to quantify the contribution of boundary conditions’ uncertainty in order to evaluate the effect of this uncertainty source on probabilistic flood hazard mapping. Different comb…

Multivariate statisticsFlood myth0208 environmental biotechnologyCopula (linguistics)Settore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaProbabilistic logicHydrograph02 engineering and technologyBuilding and ConstructionBivariate analysisFlood Risk Mapping020801 environmental engineeringRisk managementFlood hazard mapping100-year floodStatisticsEconometricsEnvironmental scienceFlood risk and hazard mapping; Uncertainty analysis; Copula; Sicily.Uncertainty analysisSafety Risk Reliability and QualityUncertainty analysisCivil and Structural Engineering
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Thematic vent opening probability maps and hazard assessment of small-scale pyroclastic density currents in the San Salvador volcanic complex (El Sal…

2021

The San Salvador volcanic complex (El Salvador) and Nejapa-Chiltepe volcanic complex (Nicaragua) have been characterized by a significant variability in eruption style and vent location. Densely inhabited cities are built on them and their surroundings, including the metropolitan areas of San Salvador (∼2.4 million people) and Managua (∼1.4 million people), respectively. In this study we present novel vent opening probability maps for these volcanic complexes, which are based on a multi-model approach that relies on kernel density estimators. In particular, we present thematic vent opening maps, i.e., we consider different hazardous phenomena separately, including lava emission, small-scale…

010504 meteorology & atmospheric sciencesLavaPyroclastic rockVolcanismHazard analysis010502 geochemistry & geophysicsHazard mapvolcanic hazard mapping01 natural sciencesEnvironmental technology. Sanitary engineeringGPhreatomagmatic eruptionGeography. Anthropology. Recreation[SDU.STU.VO]Sciences of the Universe [physics]/Earth Sciences/VolcanologyGE1-350TD1-10660105 earth and related environmental sciencesgeographyQE1-996.5geography.geographical_feature_categoryGeologyEnvironmental sciencesThematic mapVolcano13. Climate actionGeneral Earth and Planetary Sciencesvent opening hazard map San Salvador volcano Nejapa-Chiltepe volcanic zoneGeologySeismology
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Geo-hazards of the San Vito peninsula offshore (southwestern Tyrrhenian Sea)

2021

Geomorphological Tools for Mapping Natural Hazards.-- 12 pages, 7 figures, supplemental material https://doi.org/10.1080/17445647.2020.1866703.-- Software: The geomorphological main map and the Figures in the text were compiled using GLOBAL MAPPER, Surfer and Quantum-G GIS Software and redesigned to print with Adobe Illustrator

Hazard mappingMarine geo-hazardSettore GEO/02 - Geologia Stratigrafica E Sedimentologica010504 meteorology & atmospheric sciencesGeography Planning and DevelopmentSubmarine canyon010502 geochemistry & geophysics01 natural sciencesSlope failurePeninsulaEarth and Planetary Sciences (miscellaneous)Slope failure0105 earth and related environmental sciencesG3180-9980geographygeography.geographical_feature_categoryContinental shelfLandslidelanguage.human_languageSubmarine canyonOceanographylandslides Marine geo-hazard slope failure southern Tyrrhenian Sea submarine canyonSouthern Tyrrhenian SeaMapslanguageSubmarine pipelineSicilianGeologyLandslides
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Probabilistic floodplain hazard mapping: managing uncertainty by using a bivariate approach for flood frequency analysis

2014

Floods are a global problem and are considered the most frequent natural disaster world-wide. Many studies show that the severity and frequency of floods have increased in recent years and underline the difficulty to separate the effects of natural climatic changes and human influences as land management practices, urbanization etc. Flood risk analysis and assessment is required to provide information on current or future flood hazard and risks in order to accomplish flood risk mitigation, to propose, evaluate and select measures to reduce it. Both components of risk can be mapped individually and are affected by multiple uncertainties as well as the joint estimate of flood risk. Major sour…

Flood frequency analysis bivariate approachhazard mappingSettore ICAR/02 - Costruzioni Idrauliche E Marittime E Idrologia
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Evaluating the Efficiency of Different Regression, Decision Tree, and Bayesian Machine Learning Algorithms in Spatial Piping Erosion Susceptibility U…

2020

Piping erosion is one form of water erosion that leads to significant changes in the landscape and environmental degradation. In the present study, we evaluated piping erosion modeling in the Zarandieh watershed of Markazi province in Iran based on random forest (RF), support vector machine (SVM), and Bayesian generalized linear models (Bayesian GLM) machine learning algorithms. For this goal, due to the importance of various geo-environmental and soil properties in the evolution and creation of piping erosion, 18 variables were considered for modeling the piping erosion susceptibility in the Zarandieh watershed. A total of 152 points of piping erosion were recognized in the study area that…

pipinglcsh:Sdeep learninggeoinformaticshazard mappingnatural hazarderosionsusceptibilityBayesian generalized linear model (Bayesian GLM)lcsh:Agriculturemachine learningspatial modelinggeohazardbig datasupport vector machinedata sciencerandom forestLand
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