Search results for " early warning"

showing 10 items of 17 documents

Ground deformation reveals the scale-invariant conduit dynamics driving explosive basaltic eruptions

2021

The mild activity of basaltic volcanoes is punctuated by violent explosive eruptions that occur without obvious precursors. Modelling the source processes of these sudden blasts is challenging. Here, we use two decades of ground deformation (tilt) records from Stromboli volcano to shed light, with unprecedented detail, on the short-term (minute-scale) conduit processes that drive such violent volcanic eruptions. We find that explosive eruptions, with source parameters spanning seven orders of magnitude, all share a common pre-blast ground inflation trend. We explain this exponential inflation using a model in which pressure build-up is caused by the rapid expansion of volatile-rich magma ri…

010504 meteorology & atmospheric sciencesExplosive materialScienceGeneral Physics and AstronomyMagnitude (mathematics)VolcanologyDeformation (meteorology)010502 geochemistry & geophysics01 natural sciencestiltGeneral Biochemistry Genetics and Molecular BiologyArticlePhysics::Geophysicsground deformationElectrical conduitOrders of magnitude (specific energy)ground deformation conduit dynamics early warningAstrophysics::Solar and Stellar AstrophysicsStromboli0105 earth and related environmental sciencesgeographyMultidisciplinarygeography.geographical_feature_categoryExplosive eruptionQGeneral ChemistryGeophysicsVolcanoMagmaSeismologyGeologyNature Communications
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The SESAMO early warning system for rainfall-triggered landslides

2016

The development of Web-based information systems coupled with advanced monitoring systems could prove to be extremely useful in landslide risk management and mitigation. A new frontier in the field of rainfall-triggered landslides (RTLs) lies in the real-time modelling of the relationship between rainfall and slope stability; this requires an intensive monitoring of some key parameters that could be achieved through the use of modern and often low-cost technologies. This work describes an integrated information system for early warning of RTLs that has been deployed and tested, in a prototypal form, for an Italian pilot site. The core of the proposed system is a wireless sensor network coll…

Artificial neural networkEngineeringAtmospheric Science0208 environmental biotechnologyInteroperabilityReal-time computingArtificial neural network; Early warning; Integrated information system; MEMS tilt sensor; Meteorological micro radar; Monitoring system; Atmospheric Science; Geotechnical Engineering and Engineering Geology02 engineering and technologyMEMS tilt sensorSlope stabilityInformation systemIntegrated information systemSimulationMeteorological micro radarCivil and Structural EngineeringWater Science and TechnologyEarly warningWarning systembusiness.industryLandslideGeotechnical Engineering and Engineering Geology020801 environmental engineeringReal-time locating systemEarly warning systemMonitoring systembusinessWireless sensor network
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Evaluating the performance of a new picking algorithm based on the variance piecewise constant models

2021

In this paper, a new picking algorithm for the automatic seismogram onset time determination is tested on a dataset of simulated waveforms. We aim at capturing the variations in the performance due to some characteristics of both the seismic event and its detection, which in turn affect some characteristics of the waveforms. We therefore simulate seismic events with different magnitude, and assumed to be detected with different distances from the nearest seismic station. Our tests permit to highlight the scenarios most suitable for our algorithm.

Earthquake Early Warning Picking Change-points EarthquakeSettore SECS-S/01 - Statistica
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Comparing Cybersecurity Information Exchange Models and Standards for the Common Secure Information Management Framework

2021

Cyber threats have increased in spite of formal economic integration in the world. Decision-makers and authorities need to respond to the growing challenge of cyberthreats by increasing cooperation. Information is one of the main facilities when the objective is to prevent hybrid threats at the EU level and between the western countries. The main purpose of the study is to find out separating and combining factors concerning existing cyber information sharing models and information management frameworks in western countries. The aim is also to find out crucial factors, which affect the utilization of a common Early Warning System for the ECHO stakeholders. The main findings are that unclear…

Information managementComputer securitycomputer.software_genreCritical infrastructureInformation sharing Early warning Standards ECHO projectInformation systemmedia_common.cataloged_instancestandarditEuropean unionkansallinen turvallisuuskyberturvallisuusRisk managementInformation exchangemedia_commonturvallisuuspolitiikkaearly warningbusiness.industryturvallisuusympäristöInformation sharingtietojenvaihtoECHO projectManagement information systemsinformation sharingstandardsBusinesscomputertiedonkulkuDigital Transformation, Cyber Security and Resilience of Modern Societies. Studies in Big Data, vol 84
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Physiological parameters for Prognosis in Abdominal Sepsis (PIPAS) Study: a WSES observational study

2019

Timing and adequacy of peritoneal source control are the most important pillars in the management of patients with acute peritonitis. Therefore, early prognostic evaluation of acute peritonitis is paramount to assess the severity and establish a prompt and appropriate treatment. The objectives of this study were to identify clinical and laboratory predictors for in-hospital mortality in patients with acute peritonitis and to develop a warning score system, based on easily recognizable and assessable variables, globally accepted. Background Timing and adequacy of peritoneal source control are the most important pillars in the management of patients with acute peritonitis. Therefore, early pr…

Male:Medicina Básica [Ciências Médicas]030230 surgeryLogistic regression0302 clinical medicineInjury Severity ScoreInterquartile rangeRisk FactorsAntibioticsAbdomenDiagnosisAcute peritonitis; Early warning score; Emergency surgery; Source control; Abdomen; Adult; Aged; Chi-Square Distribution; Female; Hospital Mortality; Humans; Injury Severity Score; Logistic Models; Male; Middle Aged; Risk Factors; Sepsis; PrognosisHospital MortalityMortality rateAcute peritonitilcsh:Medical emergencies. Critical care. Intensive care. First aidaarly warning scoreAcute peritonitisMiddle AgedEarly warning scorePrognosisacute peritonitis; aarly warning score; emergency surgery; source control; abdomen; adult; aged; chi-square distribution; female; hospital mortality; humans; injury severity score; logistic models; male; middle aged; risk factors; sepsis; prognosis3. Good healthManagementCiências Médicas::Medicina BásicaEmergency MedicineEmergency surgeryInjury Severity ScoreFemaleResearch ArticleHumanAdultmedicine.medical_specialtyLogistic ModelSepsilcsh:SurgeryNO03 medical and health sciencesSource controlInternal medicineSepsismedicineHumansAgedAcute appendicitisScience & TechnologyChi-Square Distributionbusiness.industryAcute peritonitis; Early warning score; Emergency surgery; Source controlRisk FactorAcute appendicitis; Antibiotics; Diagnosis; Management; SurgeryEarly warning scorelcsh:RD1-811lcsh:RC86-88.93126 Surgery anesthesiology intensive care radiologymedicine.diseaseAcute peritonitis ; Early warning score ; Emergency surgery ; Source controlLogistic ModelsObservational studySurgerybusinessChi-squared distributionKidney disease
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SNEWS 2.0 : a next-generation supernova early warning system for multi-messenger astronomy

2021

The next core-collapse supernova in the Milky Way or its satellites will represent a once-in-a-generation opportunity to obtain detailed information about the explosion of a star and provide significant scientific insight for a variety of fields because of the extreme conditions found within. Supernovae in our galaxy are not only rare on a human timescale but also happen at unscheduled times, so it is crucial to be ready and use all available instruments to capture all possible information from the event. The first indication of a potential stellar explosion will be the arrival of a bright burst of neutrinos. Its observation by multiple detectors worldwide can provide an early warning for t…

Milky WayAstrophysics::High Energy Astrophysical PhenomenasatelliteFOS: Physical sciencesGeneral Physics and Astronomy01 natural sciencesHigh Energy Physics - Experiment010305 fluids & plasmasHigh Energy Physics - Experiment (hep-ex)Astronomi astrofysik och kosmologistar0103 physical sciencessupernova[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Astronomy Astrophysics and Cosmology010306 general physicssupernova neutrinoscaptureAstrophysics::Galaxy AstrophysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)Astroparticle physicsPhysicsWarning systemSupernova Early Warning SystembackgroundAstronomysensitivityGalaxySupernovaelectromagneticNeutrino detectorsupernova neutrinos; multi-messenger astronomy; particle astrophysicsneutrino: burstgalaxyNeutrinoAstrophysics - High Energy Astrophysical Phenomenamulti-messenger astronomy[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]particle astrophysics
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A fast and efficient picking algorithm for earthquake early warning application based on the variance piecewise constant models

2020

An earthquake warning system, or earthquake early warning system, is a system of accelerometers, seismometers, communication, computers, and alarms that is devised for notifying adjoining regions of a substantial earthquake while it is in progress. This is not the same as earthquake prediction, which is currently incapable of producing decisive event warnings. The implementation of efficient and computationally simple picking algorithm is necessary for this purpose, as well as automatic picking of seismic phases for seismic surveillance and routine earthquake location for fast hypocenter determination. In this paper a method for picking based on the detection of signals changes in variance …

SeismometerHypocenterWarning systemComputingMethodologies_SIMULATIONANDMODELINGComputer scienceEarthquake predictionEarthquake warning systemVariance (accounting)PickingEarthquake Early WarningPiecewiseChange-pointsSettore SECS-S/01 - StatisticaAlgorithmEarthquake location
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Predictive Metabolic Suitability Maps for the Thermophilic Invasive Hydroid Pennaria disticha Under Future Warming Mediterranean Sea Scenarios

2022

Temperature is a fundamental variable for all biological processes. It influences the metabolism and tolerance limits of all living organisms, affecting species phenology and distribution patterns. It also facilitates the spread of non-indigenous species and the proliferation and expansion of native outbreak-forming species. Pennaria disticha is a colonial benthic cnidarian reported to be invasive in different Indian and Pacific coastal areas, as well as a harmful member of fouling communities found in Mediterranean marine aquaculture farms. Using the most basal functional trait (i.e., thermal tolerance), we explored the potential of P. disticha to colonize different habitats across the Med…

Settore BIO/07 - EcologiaGlobal and Planetary Changeharmful species thermal tolerance metabolic-based maps early warning system thermal habitat suitabilityOcean EngineeringAquatic ScienceOceanographyearly warning system harmful species metabolic-based maps thermal habitat suitability thermal toleranceWater Science and Technology
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Study of the effects of climate extremes on functioning of intertidal assemblages to design an early warning sensor network

2020

Settore BIO/07 - Ecologiaclimate extreme events metabolismecosystem functioning macroalgae early warning signals intertidal
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Development of an early warning system to predict sewer overflow

Flash flooding in our city is still a fairly common phenomenon.Unfortunately, the development of a flash flood forecasting system in urban areas is not a simple and unambiguous procedure.While attending the PhD course in Civil and Environmental Engineering, research activity has been given to realize an urban overflowing prediction system that was best as possible suited to the drainage network of the city of Palermo. With the support of radar data and hybrid hydraulic model for drainage network has been possible to demonstrate the effectiveness of this instrument, while the reduction of residual flood risk has been supported by modern resilience measures.

Settore ICAR/02 - Costruzioni Idrauliche E Marittime E Idrologiaflood forecasting sewer overflow early warning system
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