993 resultados para Platina, 1421-1481.
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Capitulares grab. xil.
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Tít. tomado del colofón en 2q7v
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Marca tip. de los editores en 2i10r (Kristeller. It.B., 238)
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Pie de imp. tomado del colofón
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Antep.
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Lugar e imp. tomados del colofón
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Fecha de publicación tomada de Peeters-Fontainas
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Sign.: []2, A-N8, O6
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Sign.: [calderón]6, a-z8, [et]8, [cum]8, [rum]8, 2a8
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Errores de foliación, pasa de h. X a IX y de CXIII a CXVIII
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Bibliogr.
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El presente proyecto de fin de carrera tiene por objeto la conexión de dos zonas en crecimiento urbanístico separadas por el río Tormes, a su paso por la localidad de Salamanca. En concreto, estas dos zonas son los barrios de Tejares y Chamberí, situados en la margen izquierda del río Tormes y el barrio de Huerta Otea, en la margen derecha. Dichas zonas se localizan en el oeste de la ciudad de Salamanca. El importante desarrollo urbanístico en la margen derecha del río Tormes, contemplado por el Plan General de Ordenación Urbanística de Salamanca y Planes Parciales, que consiste en la construcción de nuevas zonas residenciales (El Marín I, El Marín II y La Platina), tiene como consecuencia un incremento de la población y surge la necesidad de conectar ambas poblaciones separadas por el río Tormes. En dicha zona, los puentes existentes actualmente sobre el río Tormes son el Puente de la Autovía A‐62 (aguas abajo) y el Puente de la Universidad (aguas arriba), ambos puentes están separados por una distancia en planta de unos 2 km. Entonces la conexión de esta zona urbana queda limitada a los puentes citados, la posibilidad de comunicación es bastante reducida, teniendo en cuenta que en la zona urbana de Salamanca, los puentes existentes sobre el río Tormes están separados entre sí, por una distancia de unos 400 metros de media, para dar acceso a todas las poblaciones colindantes con el río.
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This paper is the result of research whose main objective is to analyse different methods used for the prediction of maximum scour depth and scour extension, and for the design of scour protections in offshore wind farms located in shallow water, using medium and large diameter monopile foundations. Physical agents such as waves, currents and wind play a major role in the design of structures like offshore farms. As a result, the study has highlighted the need for introducing experience backed climate monomials such as the dimensionless wave height parameter (H0) and proposes the use of formulations that can express the extent of scour protections as a function of waves in transitional waters.
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Solar radiation is the most important source of renewable energy in the planet; it's important to solar engineers, designers and architects, and it's also fundamental for efficiently determining irrigation water needs and potential yield of crops, among others. Complete and accurate solar radiation data at a specific region are indispensable. For locations where measured values are not available, several models have been developed to estimate solar radiation. The objective of this paper was to calibrate, validate and compare five representative models to predict global solar radiation, adjusting the empirical coefficients to increase the local applicability and to develop a linear model. All models were based on easily available meteorological variables, without sunshine hours as input, and were used to estimate the daily solar radiation at Cañada de Luque (Córdoba, Argentina). As validation, measured and estimated solar radiation data were analyzed using several statistic coefficients. The results showed that all the analyzed models were robust and accurate (R2 and RMSE values between 0.87 to 0.89 and 2.05 to 2.14, respectively), so global radiation can be estimated properly with easily available meteorological variables when only temperature data are available. Hargreaves-Samani, Allen and Bristow-Campbell models could be used with typical values to estimate solar radiation while Samani and Almorox models should be applied with calibrated coefficients. Although a new linear model presented the smallest R2 value (R2 = 0.87), it could be considered useful for its easy application. The daily global solar radiation values produced for these models can be used to estimate missing daily values, when only temperature data are available, and in hydrologic or agricultural applications.
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This paper presents a new methodology to build parametric models to estimate global solar irradiation adjusted to specific on-site characteristics based on the evaluation of variable im- portance. Thus, those variables higly correlated to solar irradiation on a site are implemented in the model and therefore, different models might be proposed under different climates. This methodology is applied in a study case in La Rioja region (northern Spain). A new model is proposed and evaluated on stability and accuracy against a review of twenty-two already exist- ing parametric models based on temperatures and rainfall in seventeen meteorological stations in La Rioja. The methodology of model evaluation is based on bootstrapping, which leads to achieve a high level of confidence in model calibration and validation from short time series (in this case five years, from 2007 to 2011). The model proposed improves the estimates of the other twenty-two models with average mean absolute error (MAE) of 2.195 MJ/m2 day and average confidence interval width (95% C.I., n=100) of 0.261 MJ/m2 day. 41.65% of the daily residuals in the case of SIAR and 20.12% in that of SOS Rioja fall within the uncertainty tolerance of the pyranometers of the two networks (10% and 5%, respectively). Relative differences between measured and estimated irradiation on an annual cumulative basis are below 4.82%. Thus, the proposed model might be useful to estimate annual sums of global solar irradiation, reaching insignificant differences between measurements from pyranometers.