Search results for "Weather"

showing 10 items of 360 documents

Weathering of evaporites: natural versus anthropogenic signature on the composition of river waters

2015

Weathering of evaporites strongly influences the chemistry of continental runoff, making surface waters poorly exploitable for civil uses. In south-central Sicily, this phenomenon is worsened by the occurrence of abandoned landfills of old sulphur and salt mines. The industrial evolution of the Bosco-S. Cataldo mining site leaved two landfills from the early exploitation of a sulphur mine followed by that of a kainite deposit. In particular, the weathering of these landfills leads the dissolved salt (TDS) values up to about 200 g l−1 in the Stincone–Salito Stream waters. This process induces the V, Cr and Fe desorption from sediments and particulates in the aqueous phase under reducing cond…

Evaporitechemistry.chemical_elementWeathering010501 environmental sciencesengineering.material010502 geochemistry & geophysics01 natural sciencesEvaporites; Landfill; Salt waters; Trace elements; Earth and Planetary Sciences (all); Agricultural and Biological Sciences (all); 2300Salt waterScavenging0105 earth and related environmental sciencesGeneral Environmental ScienceHydrology2300ParticulatesSulfurSettore GEO/08 - Geochimica E VulcanologiaSalinityEvaporitechemistryAgricultural and Biological Sciences (all)Environmental chemistryengineeringTrace elementGeneral Earth and Planetary SciencesHaliteLandfillGeneral Agricultural and Biological SciencesSurface runoffEarth and Planetary Sciences (all)Geology
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Osmium and lithium isotope evidence for weathering feedbacks linked to orbitally paced organic carbon burial and Silurian glaciations

2022

Abstract The Ordovician (∼487 to 443 Ma) ended with the formation of extensive Southern Hemisphere ice sheets, known as the Hirnantian glaciation, and the second largest mass extinction in Earth History. It was followed by the Silurian (∼443 to 419 Ma), one of the most climatically unstable periods of the Phanerozoic as evidenced by several large scale ( > 5 ‰ ) carbon isotope (δ13C) perturbations associated with further extinction events. Despite several decades of research, the cause of these environmental instabilities remains enigmatic. Here, we provide osmium (187Os/188Os) and lithium (δ7Li) isotope measurements of marine sedimentary rocks that cover four Silurian δ13C excursions. Osmi…

Extinction eventeccentricity and precessionHirnantian glaciationosmium ( Os/ Os) and lithium (δ Li) isotopesGeologic recordorbital obliquityPaleontologysilicate weatheringGeophysicsIsotopes of carbonGeochemistry and PetrologySpace and Planetary SciencePhanerozoicOrdovicianEarth and Planetary Sciences (miscellaneous)Sedimentary rockGlacial periodGlobal coolingGeologySilurian palaeoclimate
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Collaborative Governance and Emergency Management: A Case Study of Latvia

2016

Emergencies – crises, disasters and catastrophes – cannot be managed by individuals or one organization,collaborative actions are needed In the context of this paper, a two-part research on collaborative governance and emergency management in Latvia has been carried out. This research is important because due to extreme weather conditions even “safe” countries should be able to deal with frequently recorded emergencies. It also contributes to the literature on emergency management in the context of Europe. The method of a case study was employed for this qualitative research seeking to clarify the situation and provide answers to the research question. The research showed that much attentio…

Extreme weatherCivil defenseEmergency managementbusiness.industryPolitical scienceContext (language use)Collaborative governancePublic relationsbusinessResearch questionQualitative researchSocialiniai tyrimai
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Road scenes analysis in adverse weather conditions by polarization-encoded images and adapted deep learning

2019

International audience; Object detection in road scenes is necessary to develop both autonomous vehicles and driving assistance systems. Even if deep neural networks for recognition task have shown great performances using conventional images, they fail to detect objects in road scenes in complex acquisition situations. In contrast, polarization images, characterizing the light wave, can robustly describe important physical properties of the object even under poor illumination or strong reflections. This paper shows how non-conventional polarimetric imaging modality overcomes the classical methods for object detection especially in adverse weather conditions. The efficiency of the proposed …

FOS: Computer and information sciencesComputer Science - Machine LearningComputer scienceComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern RecognitionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMachine Learning (stat.ML)02 engineering and technology010501 environmental sciences01 natural sciencesMachine Learning (cs.LG)[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI][SPI.GCIV.IT]Engineering Sciences [physics]/Civil Engineering/Infrastructures de transportStatistics - Machine Learning0202 electrical engineering electronic engineering information engineeringComputer vision0105 earth and related environmental sciencesAdverse weatherbusiness.industryDeep learningPolarization (waves)Object detectionRGB color model020201 artificial intelligence & image processingArtificial intelligencebusiness
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Transfer Learning with Convolutional Networks for Atmospheric Parameter Retrieval

2018

The Infrared Atmospheric Sounding Interferometer (IASI) on board the MetOp satellite series provides important measurements for Numerical Weather Prediction (NWP). Retrieving accurate atmospheric parameters from the raw data provided by IASI is a large challenge, but necessary in order to use the data in NWP models. Statistical models performance is compromised because of the extremely high spectral dimensionality and the high number of variables to be predicted simultaneously across the atmospheric column. All this poses a challenge for selecting and studying optimal models and processing schemes. Earlier work has shown non-linear models such as kernel methods and neural networks perform w…

FOS: Computer and information sciencesComputer Science - Machine LearningComputer scienceFeature extraction0211 other engineering and technologiesTranfer learningFOS: Physical sciences02 engineering and technologyAtmospheric modelInfrared atmospheric sounding interferometercomputer.software_genreConvolutional neural networkMachine Learning (cs.LG)0202 electrical engineering electronic engineering information engineeringInfrared measurements021101 geological & geomatics engineeringArtificial neural networkStatistical modelNumerical weather predictionParameter retrievalPhysics - Atmospheric and Oceanic PhysicsKernel method13. Climate actionAtmospheric and Oceanic Physics (physics.ao-ph)Convolutional neural networks020201 artificial intelligence & image processingData miningcomputerCurse of dimensionalityIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
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Flights Delay Compensation 261/2004: A Challenge for Airline Companies?

2020

Globally, the large number of tourists, insufficient number of pilots, strikes or high traffic at airports, have generated an increase in the number of delayed flights. In the first 6 months of 2018, it is estimated that around 4.5 million passengers (compared to 3.2 million passengers in the first semester of 2017) were affected by cancellations, delays and overbookings of flights, while the eligible value compensation is approaching 2 billion euros. For these events, principally attributable to the air carrier, certain passenger rights have been established at European Union level, detailed in EC Regulation No 261/2004 establishing common rules for passenger compensation and aid in the ca…

FinanceBad weatherbiologybusiness.industryValue (economics)media_common.cataloged_instanceEurosEuropean unionbusinessbiology.organism_classificationmedia_commonCompensation (engineering)
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Spanish Stock Returns: Where is the Weather Effect?

2003

Psychological studies support the existence of an influence of weather on mood. Saunders (1993) and Hirshleifer and Shumway (2001) argue that the weather could affect the behaviour of market traders and, therefore, it should be reflected in the stock returns. This paper investigates the possible relation between weather and market index returns in the context of the Spanish market. In 1989, this market changed its open outcry trading system into a computerised and decentralised trading system. Therefore, it is possible to check the influence of weather variables (sunshine hours and humidity levels) on index returns in an open outcry trading system, and to compare it with a screen traded env…

Financial economicscomputer.software_genreCONTESTStock market indexOpen outcryAccountingSunshine durationWeather effectEconomicsAlgorithmic tradingEmpirical evidenceGeneral Economics Econometrics and FinancecomputerStock (geology)European Financial Management
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Wave Energy Assessment around the Aegadian Islands (Sicily)

2019

This paper presents the estimation of the wave energy potential around the Aegadian islands (Italy), carried out on the basis of high resolution wave hindcast. This reanalysis was developed employing Weather Research and Forecast (WRF) and WAVEWATCH III ® models for the modelling of the atmosphere and the waves, respectively. Wave climate has been determined using the above-mentioned 32-year dataset covering the years from 1979 to 2010. To improve the information about wave characteristics regarding spatial details, i.e., increasing wave model resolution, especially in the nearshore region around the islands, a SWAN (Simulating WAves Nearshore) wave propagation model was used. Results obtai…

Flexible mesh model; Renewable energy; Resource assessment; SWAN; Wave energy; WaveWatch III; Renewable Energy Sustainability and the Environment; Energy Engineering and Power Technology; Energy (miscellaneous); Control and Optimization; Electrical and Electronic EngineeringRenewable energyControl and OptimizationWave propagation020209 energyWave energyEnergy fluxEnergy Engineering and Power Technology02 engineering and technology010501 environmental sciencesAtmospheric sciences01 natural scienceslcsh:TechnologyResource assessmentWaveWatch IIIWave modelHotspot (geology)0202 electrical engineering electronic engineering information engineeringHindcastElectrical and Electronic EngineeringEngineering (miscellaneous)Physics::Atmospheric and Oceanic Physics0105 earth and related environmental sciencesFlexible mesh modelSWANSustainability and the EnvironmentRenewable Energy Sustainability and the Environmentbusiness.industrylcsh:TEnergy assessmentRenewable energyWeather Research and Forecasting Modelwave energy; resource assessment; WaveWatch III; SWAN; flexible mesh model; renewable energybusinessGeologyEnergy (miscellaneous)Energies; Volume 12; Issue 3; Pages: 333
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Simplified Energy Model and Multi-Objective Energy Consumption Optimization of a Residential House

2022

Featured Application: The potential application of the proposed model is a computationally inexpensive semi- or fully automated system for the optimization of operation in residential buildings in terms of energy consumption. Some analyses state that buildings contribute to overall energy consumption by 20–40%, which, in the context of the recent geopolitical energy crisis, makes them a critical issue to study. Finding solutions for better energy management in buildings can have a significant impact on the energy sector, thus reducing EU energy dependencies and contributing to the fulfillment of the REPowerEU goals. This paper focuses on proposing a simplified model of a residential house c…

Fluid Flow and Transfer ProcessesSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaProcess Chemistry and Technologybuilding energy model energy demand multi-objective optimization residential building simulation weather forecast uncertaintyGeneral Engineeringresidential building simulation; building energy model; energy demand; weather forecast uncertainty; multi-objective optimizationGeneral Materials ScienceInstrumentationComputer Science ApplicationsApplied Sciences; Volume 12; Issue 20; Pages: 10212
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A new approach for an adaptive forest management planning to improve resilience of beech forests in relation to climate change: the LIFE AForClimate …

2019

Forest planning Weather stations Dendroclimatic analysis DSSSettore AGR/05 - Assestamento Forestale E Selvicoltura
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