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Institution

Polytechnic University of Catalonia

EducationBarcelona, Spain
About: Polytechnic University of Catalonia is a education organization based out in Barcelona, Spain. It is known for research contribution in the topics: Finite element method & Population. The organization has 16006 authors who have published 45325 publications receiving 949306 citations. The organization is also known as: UPC - BarcelonaTECH & Technical University of Catalonia.


Papers
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Journal ArticleDOI
TL;DR: It is remarked that a near-optimal coverage of mobile users can be achieved only when the characteristics of vehicular mobility are known, and it is observed that simple heuristics provide near-Optimal results even in large-scale scenarios.

199 citations

Journal ArticleDOI
TL;DR: In this paper, a mixed hierarchical approximation based on finite elements and meshless methods is presented, which couples regions where finite elements or meshless method are used to interpolate: continuity and consistency is preserved.
Abstract: A mixed hierarchical approximation based on finite elements and meshless methods is presented. Two cases are considered. The first one couples regions where finite elements or meshless methods are used to interpolate: continuity and consistency is preserved. The second one enriches a finite element mesh with particles. Thus, there is no need to remesh in adaptive refinement processes. In both cases the same formulation is used, convergence is studied and examples are shown. Copyright © 2000 John Wiley & Sons, Ltd.

199 citations

Journal ArticleDOI
TL;DR: Experimental results for low NDVI values show a large sensitivity to soil moisture and a relatively good Pearson correlation coefficient, and as the vegetation cover increases (NDVI increases) the reflectivity, the sensitivity to soils moisture and the Pearson correlation coefficients decreases, but it is still significant.
Abstract: Global navigation satellite systems-reflectometry (GNSS-R) is an emerging remote sensing technique that makes use of navigation signals as signals of opportunity in a multistatic radar configuration, with as many transmitters as navigation satellites are in view. GNSS-R sensitivity to soil moisture has already been proven from ground-based and airborne experiments, but studies using space-borne data are still preliminary due to the limited amount of data, collocation, footprint heterogeneity, etc. This study presents a sensitivity study of TechDemoSat-1 GNSS-R data to soil moisture over different types of surfaces (i.e., vegetation covers) and for a wide range of soil moisture and normalized difference vegetation index (NDVI) values. Despite the scattering in the data, which can be largely attributed to the delay-Doppler maps peak variance, the temporal and spatial (footprint size) collocation mismatch with the SMOS soil moisture, and MODIS NDVI vegetation data, and land use data, experimental results for low NDVI values show a large sensitivity to soil moisture and a relatively good Pearson correlation coefficient. As the vegetation cover increases (NDVI increases) the reflectivity, the sensitivity to soil moisture and the Pearson correlation coefficient decreases, but it is still significant.

198 citations

Journal ArticleDOI
TL;DR: In this paper, the authors explore the relationship between the models for progenitor systems of Type Ia supernovae and the properties of the supernova remnants that evolve after the explosion, and find that optically thick outflows from the white dwarf surface (sometimes known as "accretion winds") with velocities above 200 km s-1 excavate large low density cavities around the progenitors.
Abstract: We explore the relationship between the models for progenitor systems of Type Ia supernovae and the properties of the supernova remnants that evolve after the explosion. Most models for Type Ia progenitors in the single-degenerate scenario predict substantial outflows during the presupernova evolution. Expanding on previous work, we estimate the imprint of these outflows on the structure of the circumstellar medium at the time of the supernova explosion, and the effect that this modified circumstellar medium has on the evolution of the ensuing supernova remnant. We compare our simulations with the observational properties of known Type Ia supernova remnants in the Galaxy (Kepler, Tycho, SN 1006), the Large Magellanic Cloud (0509-67.5, 0519-69.0, N103B), and M31 (SN 1885). We find that optically thick outflows from the white dwarf surface (sometimes known as "accretion winds") with velocities above 200 km s-1 excavate large low-density cavities around the progenitors. Such large cavities are incompatible with the dynamics of the forward shock and the X-ray emission from the shocked ejecta in all the Type Ia remnants that we have examined.

198 citations

Journal ArticleDOI
TL;DR: In this article, the influence of river runoff and wind mixing index on the productivity of the two most abundant species of small pelagic fish exploited in waters surrounding the Ebre (Ebro) River continental shelf (northwestern Mediterranean): anchovy (Engraulis encrasicolus) and sardine (Sardina pilchardus).
Abstract: Time series analyses (Box–Jenkins models) were used to study the influence of river runoff and wind mixing index on the productivity of the two most abundant species of small pelagic fish exploited in waters surrounding the Ebre (Ebro) River continental shelf (north-western Mediterranean): anchovy (Engraulis encrasicolus) and sardine (Sardina pilchardus). River flow and wind were selected because they are known to enhance fertilization and local planktonic production, thus being crucial for the survival of fish larvae. Time series of the two environmental variables and landings of the two species were analysed to extract the trend and seasonality. All series displayed important seasonal and interannual fluctuations. In the long term, landings of anchovy declined while those of sardine increased. At the seasonal scale, landings of anchovy peaked during spring/summer while those of sardine peaked during spring and autumn. Seasonality in landings of anchovy was stronger than in sardine. Concerning the environmental series, monthly average Ebre runoff showed a progressive decline from 1960 until the late 1980s, and the wind mixing index was highest during 1994–96. Within the annual cycle, the minimum river flow occurs from July to October and the wind mixing peaks in winter (December–April, excluding January). The results of the analyses showed a significant correlation between monthly landings of anchovy and freshwater input of the Ebre River during the spawning season of this species (April–August), with a time lag of 12 months. In contrast, monthly landings of sardine were significantly positively correlated with the wind mixing index during the spawning season of this species (November–March), with a lag of 18 months. The results provide evidence of the influence of riverine inputs and wind mixing on the productivity of small pelagic fish in the north-western Mediterranean. The time lags obtained in the relationships stress the importance of river runoff and wind mixing for the early stages of anchovy and sardine, respectively, and their impact on recruitment.

198 citations


Authors

Showing all 16211 results

NameH-indexPapersCitations
Frede Blaabjerg1472161112017
Carlos M. Duarte132117386672
Ian F. Akyildiz11761299653
Josep M. Guerrero110119760890
David S. Wishart10852376652
O. C. Zienkiewicz10745571204
Maciej Lewenstein10493147362
Jordi Rello10369435994
Anil Kumar99212464825
Surendra P. Shah9971032832
Liang Wang98171845600
Aharon Gedanken9686138974
María Vallet-Regí9571141641
Bonaventura Clotet9478439004
Roberto Elosua9048154019
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
2023129
2022379
20212,313
20202,429
20192,427