Search results for "Simulation."

showing 10 items of 4779 documents

Système distribué d'alerte de la qualité de l'eau pour la rivière Mudan basé sur l'EFDC et les SIG

2016

Simulation and Early Warning System (SEWS) is a powerful tool for river water quality monitoring. Mudan River, an important river in northeastern cold regions of China, can run out of China into Russia. Thus, the water quality of Mudan River is highly concerned not only locally andregionally but also internationally. Objective of this study is to establish an excellent SEWS of water quality so that the spatio-temporal distribution of water quality in both open-water and ice-covered periods can be accurately simulated and visualized to understand the spatial variation of pollutants along the river course. The dissertation is structured into 7 chapters, chapter 1 outlines the background of th…

Early warningModèle hydrodynamiquePréavis d'alerteCalcul distribuéGISSIGScenario analysisWater qualityAnalyse de scénariosTwo-dimensional simulationSimulation bidimensionnelleDistributed computationHydrodynamic modelQualité de l'eau[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det][SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology
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Latent force models for earth observation time series prediction

2016

We introduce latent force models for Earth observation time series analysis. The model uses Gaussian processes and differential equations to combine data driven modelling with a physical model of the system. The LFM presented here performs multi-output structured regression, adapts to the signal characteristics, it can cope with missing data in the time series, and provides explicit latent functions that allow system analysis and evaluation. We successfully illustrate the performance in challenging scenarios of crop monitoring from space, providing time-resolved time series predictions.

Earth observation010504 meteorology & atmospheric sciencesSeries (mathematics)Differential equationComputer scienceMatemáticas02 engineering and technologyMissing data01 natural sciencesData-drivenData modelingsymbols.namesake0202 electrical engineering electronic engineering information engineeringsymbols020201 artificial intelligence & image processingGeologíaTime seriesGaussian processAlgorithmSimulation0105 earth and related environmental sciences
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Life cycle assessment of roads: Material and process related energy savings

2018

The need for climate change mitigation calls for significant actions to match the sustainable development goals and, in this context, road construction and management play a relevant role (cf. EU Green Public Procurement Criteria for Road Design, Construction and Maintenance and Environmental Product Declarations - EPD). In such a context, the role of the Life Cycle Assessment (LCA) methodology is broadly recognized as a tool to quantify sustainability of processes and systems. This study aims at calculating the life-cycle energy and carbon footprint of a typical Italian urban road, including materials production, transportation, construction, maintenance, and rehabilitation. The LCA approa…

Eco-designRoad design2300Modeling and SimulationLife-cycle energyChemistry (all)Computer Science Applications1707 Computer Vision and Pattern RecognitionGeneral ChemistryLife Cycle Assessment (LCA)Computer Science ApplicationsGeneral Environmental ScienceModelling, Measurement and Control C
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Revisiting the role of top-down and bottom-up controls in stabilisation of nutrient-rich plankton communities

2019

Understanding the conditions for successful control of phytoplankton by zooplankton in eutrophic ecosystems is a highly important research area with a wide implementation of mathematical modelling. Theoretical models generally predict destabilisation of food webs in eutrophic environments with large-amplitude oscillations of population densities which would eventually result in species extinction. On the other hand, these theoretical predic- tions are often at odds with ecological observations demonstrating stable dynamics even for a high nutrient load. This apparent discrepancy is known in the literature as Rosen- zweig’s “paradox of enrichment”. Recent theoretical works emphasize a crucia…

Ecological stabilityNumerical AnalysisIntegro-differential equationEcologyApplied MathematicsParadox of enrichmentPlankton01 natural sciencesZooplanktonSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)010305 fluids & plasmasSpatial heterogeneityModeling and SimulationEcosystem stability0103 physical sciencesPhytoplanktonEnvironmental scienceEcosystem010306 general physicsEutrophicationParadox of enrichmentPlankton modellingCommunications in Nonlinear Science and Numerical Simulation
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Conditions for the spread of conspicuous warning signals: A numerical model with novel insights

2007

The initial evolution of conspicuous warning signals presents an evolutionary problem because selection against rare conspicuous signals is presumed to be strong, and new signals are rare when they first arise. Several possible solutions have been offered to solve this apparent evolutionary paradox, but disagreement persists over the plausibility of some of the proposed mechanisms. In this paper, we construct a deterministic numerical simulation model that allows us to derive the strength of selection on novel warning signals in a wide range of biologically relevant situations. We study the effects of predator psychology (learning, rate of mistaken attacks, and neophobia) on selection. We a…

EcologyNeophobiaAposematismBiologymedicine.diseaseAdaptation PhysiologicalBiological EvolutionModels BiologicalPredationThreshold numberAnimal CommunicationPredatory BehaviormedicineSelective advantageGeneticsAnimalsLearningComputer SimulationSeasonsDetection rateGeneral Agricultural and Biological SciencesPredatorSelection (genetic algorithm)Ecology Evolution Behavior and Systematics
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Host kairomone learning and foraging success in an egg parasitoid: a simulation model

2009

Trissolcus basalis (Wollaston) (Hymenoptera: Scelionidae) is an egg parasitoid that recognises chemical residues left by its host the green stink bug Nezara viridula (L.) (Heteroptera: Pentatomidae) as kairomone signals, enabling it to find egg masses in which to lay eggs. 2. Kairomones are usually present as patches deposited by N. viridula females, and recent results (Peri et al. , Journal of Experimental Biology , 209 , 3629 - 3635, 2006) indicated that females of T. basalis are able to learn the features of their foraging environment and to adjust accordingly the amount of time spent on the patches of kairomones they are visiting, depending on whether or not host eggs are found. 3. In o…

EcologybiologyGreen stink bugHost (biology)Ecology[SDV]Life Sciences [q-bio]ForagingHymenopteraPATCHbiology.organism_classificationLEARNINGParasitoidTRISSOLCUS BASALISSettore AGR/11 - Entomologia Generale E ApplicataMONTE CARLO SIMULATIONNezara viridulaInsect ScienceKairomoneKAIROMONEScelionidaeRELATION HOTE-PARASITE
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2015

The manner in which populations of inhibitory (INH) and excitatory (EXC) neocortical neurons collectively encode stimulus-related information is a fundamental, yet still unresolved question. Here we address this question by simultaneously recording with large-scale multi-electrode arrays (of up to 128 channels) the activity of cell ensembles (of up to 74 neurons) distributed along all layers of 3–4 neighboring cortical columns in the anesthetized adult rat somatosensory barrel cortex in vivo. Using two different whisker stimulus modalities (location and frequency) we show that individual INH neurons – classified as such according to their distinct extracellular spike waveforms – discriminat…

Ecologybusiness.industrySensory systemBarrel cortexBiologyStimulus (physiology)Somatosensory systemInhibitory postsynaptic potentialMachine learningcomputer.software_genreCellular and Molecular NeuroscienceComputational Theory and MathematicsModeling and SimulationNeuronal tuningGeneticsExcitatory postsynaptic potentialArtificial intelligencebusinessMolecular BiologyNeurosciencecomputerEcology Evolution Behavior and SystematicsInformation redundancyPLOS Computational Biology
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Ten simple rules for a successful EU Marie Skłodowska-Curie Actions Postdoctoral (MSCA) fellowship application.

2022

EcologyeditorialtutkijavaihtotutkijathakemukseturakehitysCellular and Molecular NeuroscienceComputational Theory and Mathematicsammatillinen kehitysModeling and SimulationGeneticsapurahattyöuraFellowships and ScholarshipsMolecular BiologyEcology Evolution Behavior and Systematicsfellowship applicationPLoS computational biology
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Sensitivity analysis and process optimization of a natural gas dehydration unit using triethylene glycol

2019

Abstract Dehydration of natural gas by absorption using triethylene glycol (TEG) is a common industrial offshore procedure to ensure the compliance with the required water dew point specifications for midstream transportation. Two thermodynamic models, the UMR-PRU and the TST/NRTL, are applied for the process simulation while a preliminary economic evaluation has been conducted revealing that both yield overall similar results as for the fixed capital cost which is found to be in good agreement with reported literature values. Moreover, sensitivity analysis of several operational parameters of the process has been performed and optimized values are suggested aiming to reduce its energy requ…

Economic evaluation Optimization Sensitivity analysis TEG dehydration TST/NRTL UMR-PRUbusiness.industry020209 energySettore ING-IND/25 - Impianti ChimiciEnergy Engineering and Power Technology02 engineering and technologyGeotechnical Engineering and Engineering Geologychemistry.chemical_compoundFuel TechnologyDew point020401 chemical engineeringchemistryNatural gas0202 electrical engineering electronic engineering information engineeringEnvironmental scienceCapital costProcess optimizationSensitivity (control systems)0204 chemical engineeringProcess simulationProcess engineeringbusinessOperating costTriethylene glycol
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Optimal Sustainable Policies Under Pollution Ceiling: the Demographic Side

2014

AD; International audience; We study optimal sustainable policies in a benchmark logistic world (where both population and technological progress follow logistic laws of motion) subject to a pollution ceiling. The main policy in the hands of the benevolent planner is pollution abatement, ultimately leading to the control of a dirtiness index as in the early literature of the limits to growth literature. Besides inclusion of demographic dynamics, we also hypothesize that population size affects negatively the natural regeneration or assimilation rate, as a side product of human activities (like increasing pollution, deforestation, ...). We first characterize optimal sustainable policies. Und…

Economic growthEngineeringNatural resource economicsPopulationLimits to growth Sustainable policy Optimal growth Demographic dynamics Pollution ceilingLimits to growthpollution ceiling[SHS]Humanities and Social SciencesDemographic dynamicslimits to growth11. SustainabilityOptimal growthPer capitaPopulation growthsustainable policyeducation[SHS.ECO] Humanities and Social Sciences/Economics and FinanceConsumption (economics)education.field_of_studylimits to growthsustainable policyoptimal growthdemographic dynamicspollution ceilingTechnological changebusiness.industryApplied MathematicsPopulation sizePollution ceiling15. Life on land[SHS.ECO]Humanities and Social Sciences/Economics and FinanceTechnical progressProjections of population growth13. Climate actionModeling and SimulationSustainable policybusinessoptimal growthdemographic dynamics
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