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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
01 Dec 2006-Elements
TL;DR: In this paper, the long-term behavior of UO 2 under a range of redox conditions has been investigated in natural systems, such as the Oklo natural reactors, and experimental results and observations from natural systems have been used to assess the longterm performance of SNF.
Abstract: The primary waste form resulting from nuclear energy production is spent nuclear fuel (SNF). There are a number of different types of fuel, but they are predominantly uranium based, mainly UO 2 or, in some cases, metallic U. The UO 2 in SNF is a redox-sensitive semiconductor consisting of a fine-grained (5-10 μm), polycrystalline aggregate containing fission-product and transuranium elements in concentrations of 4 to 6 atomic percent. The challenge is to predict the long-term behavior of UO 2 under a range of redox conditions. Experimental results and observations from natural systems, such as the Oklo natural reactors, have been used to assess the long-term performance of SNF.

238 citations

Journal ArticleDOI
TL;DR: In this paper, a major Saharan dust outbreak lasting from 26 to 31 May 2008 has been used as a case study for showing first results in terms of comparison with CALIPSO level 2 data.
Abstract: [1] A strategy for European Aerosol Research Lidar Network (EARLINET) correlative measurements for Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) has been developed. These EARLINET correlative measurements started in June 2006 and are still in progress. Up to now, more than 4500 correlative files are available in the EARLINET database. Independent extinction and backscatter measurements carried out at high-performance EARLINET stations have been used for a quantitative comparison with CALIPSO level 1 data. Results demonstrate the good performance of CALIPSO and the absence of evident biases in the CALIPSO raw signals. The agreement is also good for the distribution of the differences for the attenuated backscatter at 532 nm ((CALIPSO-EARLINET)/EARLINET (%)), calculated in the 1–10 km altitude range, with a mean relative difference of 4.6%, a standard deviation of 50%, and a median value of 0.6%. A major Saharan dust outbreak lasting from 26 to 31 May 2008 has been used as a case study for showing first results in terms of comparison with CALIPSO level 2 data. A statistical analysis of dust properties, in terms of intensive optical properties (lidar ratios, Angstrom exponents, and color ratios), has been performed for this observational period. We obtained typical lidar ratios of the dust event of 49 ± 10 sr and 56 ± 7 sr at 355 and 532 nm, respectively. The extinction-related and backscatter-related Angstrom exponents were on the order of 0.15–0.17, which corresponds to respective color ratios of 0.91–0.95. This dust event has been used to show the methodology used for the investigation of spatial and temporal representativeness of measurements with polar-orbiting satellites.

238 citations

Journal ArticleDOI
TL;DR: A preliminary experiment demonstrated that chitosan was more efficient at color removal in tap water than in demineralized water, and that a substantially lower concentration of chitOSan could be used with tap water.

238 citations

Journal ArticleDOI
TL;DR: In this article, a nonlinear crosswind dissipation method is proposed to avoid the local oscillations that still remain using the streamline-upwind/Petrov-Galerkin formulation for the scalar convection-diffusion equation.

237 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