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  • Hindawi  (5)
  • American Meteorological Society  (1)
  • MDPI Publishing  (1)
  • PANGAEA  (1)
  • Amsterdam: Elsevier
  • 2010-2014  (8)
Collection
Keywords
Publisher
Years
Year
  • 1
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    Seawater carbonate chemistry and larval feeding efficiency and change food selectivity in the mollusk Concholepas concholepas (2013)
    PANGAEA
    Details
    Publication Date: 2024-03-15
    Description: We present experimental data obtained from an experiment with newly hatched veliger larvae of the gastropod Concholepas concholepas exposed to three pCO2 levels. Egg capsules were collected from two locations in northern and central Chile, and then incubated throughout their entire intra-capsular life cycle at three nominal pCO2 levels, 400, 700 and 1000 ppm (i.e. corresponding to 8.0, 7.8 and 7.6 pH units, respectively). Hatched larvae were fed with natural food assemblages. Food availability at time zero did not vary significantly with pCO2 level. Our results clearly showed a significant effect of elevated pCO2 on the intensity of larval feeding, which dropped by 〉60%. Incubation also showed that pCO2-driven ocean acidification (OA) may radically impact the selectivity of ingested food by C. concholepas larvae. Results also showed that larvae switched their clearance rate based on large cells, such as diatoms and dinoflagellates to tiny and highly abundant nanoflagellates and cyanobacteria as pCO2 levels increased. Thus, this study reveals the important effect of low pH conditions on larval feeding behavior, in terms of both ingestion magnitude and selectivity. These findings support the notion that larval feeding is a key physiological process susceptible to the effects of OA.
    Keywords: Alkalinity, total; Alkalinity, total, standard error; Animalia; Aragonite saturation state; Aragonite saturation state, standard error; Behaviour; Bicarbonate ion; Biomass; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Calfuco; Carbon, inorganic, dissolved; Carbonate ion; Carbonate ion, standard error; Carbonate system computation flag; Carbon dioxide; Clearance rate per individual; Coast and continental shelf; Concholepas concholepas; Event label; EXP; Experiment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Ingestion rate; Ingestion rate of carbon per day per individual; Laboratory experiment; Las_Cruces; Mollusca; North Pacific; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Partial pressure of carbon dioxide (water) at sea surface temperature (wet air), standard error; Pelagos; Percentage; pH; pH, standard error; Potentiometric; Potentiometric titration; Prey taxa; Replicates; Salinity; Salinity, standard error; Season; Single species; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Temperate; Temperature, water; Temperature, water, standard error; Type; Zooplankton
    Type: Dataset
    Format: text/tab-separated-values, 9396 data points
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    DATA PANGAEA
  • 2
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    Numerical Validation of the Delaunay Normalization and the Krylov-Bogoliubov-Mitropolsky Method (2014)
    Hindawi
    Details
    Publication Date: 2014-07-07
    Description: A scalable second-order analytical orbit propagator programme based on modern and classical perturbation methods is being developed. As a first step in the validation and verification of part of our orbit propagator programme, we only consider the perturbation produced by zonal harmonic coefficients in the Earth’s gravity potential, so that it is possible to analyze the behaviour of the mathematical expressions involved in Delaunay normalization and the Krylov-Bogoliubov-Mitropolsky method in depth and determine their limits.
    Print ISSN: 1024-123X
    Electronic ISSN: 1563-5147
    Topics: Mathematics , Technology
    Published by Hindawi
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  • 3
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    Application of Computational Intelligence in Order to Develop Hybrid Orbit Propagation Methods (2013)
    Hindawi
    Details
    Publication Date: 2013-11-14
    Description: We present a new approach in astrodynamics and celestial mechanics fields, called hybrid perturbation theory. A hybrid perturbation theory combines an integrating technique, general perturbation theory or special perturbation theory or semianalytical method, with a forecasting technique, statistical time series model or computational intelligence method. This combination permits an increase in the accuracy of the integrating technique, through the modeling of higher-order terms and other external forces not considered in the integrating technique. In this paper, neural networks have been used as time series forecasters in order to help two economic general perturbation theories describe the motion of an orbiter only perturbed by the Earth’s oblateness.
    Print ISSN: 1024-123X
    Electronic ISSN: 1563-5147
    Topics: Mathematics , Technology
    Published by Hindawi
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  • 4
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    Energies, Vol. 7, Pages 670-700: Modelling of PEM Fuel Cell Performance: Steady-State and Dynamic Experimental Validation (2014)
    MDPI Publishing
    In: Energies
    Details
    Publication Date: 2014-02-11
    Description: This paper reports on the modelling of a commercial 1.2 kW proton exchange membrane fuel cell (PEMFC), based on interrelated electrical and thermal models. The electrical model proposed is based on the integration of the thermodynamic and electrochemical phenomena taking place in the FC whilst the thermal model is established from the FC thermal energy balance. The combination of both models makes it possible to predict the FC voltage, based on the current demanded and the ambient temperature. Furthermore, an experimental characterization is conducted and the parameters for the models associated with the FC electrical and thermal performance are obtained. The models are implemented in Matlab Simulink and validated in a number of operating environments, for steady-state and dynamic modes alike. In turn, the FC models are validated in an actual microgrid operating environment, through the series connection of 4 PEMFC. The simulations of the models precisely and accurately reproduce the FC electrical and thermal performance.
    Electronic ISSN: 1996-1073
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by MDPI Publishing
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  • 5
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    Reassessing Statistical Downscaling Techniques for Their Robust Application under Climate Change Conditions (2013)
    American Meteorological Society
    Details
    Publication Date: 2013-01-01
    Description: The performance of statistical downscaling (SD) techniques is critically reassessed with respect to their robust applicability in climate change studies. To this end, in addition to standard accuracy measures and distributional similarity scores, the authors estimate the robustness of the methods under warming climate conditions working with anomalous warm historical periods. This validation framework is applied to intercompare the performances of 12 different SD methods (from the analog, weather typing, and regression families) for downscaling minimum and maximum temperatures in Spain. First, a calibration of these methods is performed in terms of both geographical domains and predictor sets; the results are highly dependent on the latter, with optimum predictor sets including near-surface temperature data (in particular 2-m temperature), which appropriately discriminate cold episodes related to temperature inversion in the lower troposphere. Although regression methods perform best in terms of correlation, analog and weather generator approaches are more appropriate for reproducing the observed distributions, especially in case of wintertime minimum temperature. However, the latter two families significantly underestimate the temperature anomalies of the warm periods considered in this work. This underestimation is found to be critical when considering the warming signal in the late twenty-first century as given by a global climate model [the ECHAM5–Max Planck Institute (MPI) model]. In this case, the different downscaling methods provide warming values with differences in the range of 1°C, in agreement with the robustness significance values. Therefore, the proposed test is a promising technique for detecting lack of robustness in statistical downscaling methods applied in climate change studies.
    Print ISSN: 0894-8755
    Electronic ISSN: 1520-0442
    Topics: Geography , Geosciences , Physics
    Published by American Meteorological Society
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  • 6
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    Application of Computational Intelligence in Order to Develop Hybrid Orbit Propagation Methods (2013)
    Hindawi
    Details
    Publication Date: 2013-01-01
    Description: We present a new approach in astrodynamics and celestial mechanics fields, calledhybrid perturbation theory. A hybrid perturbation theory combines anintegrating technique, general perturbation theory or special perturbation theory or semianalytical method, with aforecasting technique, statistical time series model or computational intelligence method. This combination permits an increase in the accuracy of the integrating technique, through the modeling of higher-order terms and other external forces not considered in the integrating technique. In this paper, neural networks have been used as time series forecasters in order to help two economic general perturbation theories describe the motion of an orbiter only perturbed by the Earth’s oblateness.
    Print ISSN: 1024-123X
    Electronic ISSN: 1563-5147
    Topics: Mathematics , Technology
    Published by Hindawi
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    PAPER CURRENT
  • 7
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    An Economic Hybrid Analytical Orbit Propagator Program Based on SARIMA Models (2012)
    Hindawi
    Details
    Publication Date: 2012-01-01
    Description: We present a new economic hybrid analytical orbit propagator program based on SARIMA models, which approximates to a tesseral analytical theory for a Quasi-Spot satellite. TheJ2perturbation is described by a first-order closed-form analytical theory, whereas the effects produced by the higher orders ofJ2and the perturbation of the rest of zonal and tesseral harmonic coefficients are modelled by SARIMA models. Time series analysis is a useful statistical prediction tool, which allows building a model for making future predictions based on the study of past observations. The combination of the analytical techniques and time series analysis allows an increase in accuracy without significant loss in efficiency of the new propagators, as a consequence of modelling higher-order terms and other perturbations are not taken into account in the analytical theory.
    Print ISSN: 1024-123X
    Electronic ISSN: 1563-5147
    Topics: Mathematics , Technology
    Published by Hindawi
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  • 8
    facet.materialart.
    Unknown
    Numerical Validation of the Delaunay Normalization and the Krylov-Bogoliubov-Mitropolsky Method (2014)
    Hindawi
    Details
    Publication Date: 2014-01-01
    Description: A scalable second-order analytical orbit propagator programme based on modern and classical perturbation methods is being developed. As a first step in the validation and verification of part of our orbit propagator programme, we only consider the perturbation produced by zonal harmonic coefficients in the Earth’s gravity potential, so that it is possible to analyze the behaviour of the mathematical expressions involved in Delaunay normalization and the Krylov-Bogoliubov-Mitropolsky method in depth and determine their limits.
    Print ISSN: 1024-123X
    Electronic ISSN: 1563-5147
    Topics: Mathematics , Technology
    Published by Hindawi
    Location Call Number Expected Availability
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    PAPER CURRENT
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