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R. Calaudi, T. Lo Feudo, E. Avolio, D. Gullì, M.F. De Pino, C. R. Calidonna
Wind Climatology in South Italy by Comparing Satellite Data and Ground Base Stations and a Correlation with NAO (North Atlantic Oscillation) Index

This study addresses preliminary results about the seasonal wind variability, especially during the winter season, in South Italy. Wind climate for the coastal waters off South Italy was estimated based on images of the Advanced Synthetic Aperture Radar (ASAR) onboard the ENVISAT satellite during the period from March 2002 to April 2012.

T. Lo Feudo, D. Barantiev, R. Calaudi, E. Avolio, D. Gullì, H. Kirova, A.M. Sempreviva, C. R. Calidonna, E. Batchvarova
A Parallel Wind Analysis at Two Coastal Sites (Tyrrhenian and Black Sea) Using Remote Sensing Sensors and Ground Based Stations

A parallel study, between wind profiles until 300m measured in experimental sites at Tyrrhenian Sea and at Black Sea we realize in order to investigate how the variation of wind flow influences meteorological parameter on coastal sites. The data set available made possible a key study of the influence of different wind regimes in the two sites. In particular it was possible to select days with different wind regime: one with well-developed breeze regime, one with not well developed breeze regime and the last one with uncompleted sea breeze. The stability classification in the three days was studied using two sonic anemometer at frequency of 10 Hz placed at 10 m and in operation simultaneously in both coastal sites. Finally this last data were compared with SAR (Synthetic Aperture Radar) wind obtaining a good correlation and demonstrating that it is possible use the satellite data for wind resource estimation.

T. Lo Feudo, R. Calaudi, D. Gulli, C. R. Calidonna
Satellite Data Set for Solar and Wind Resource Assessment A Case Study: Port of Crotone in South of Italy

In this work we define a methodology within the context of the Calabria Region, in the port of Crotone, and we define for it a model for the integrated management of energy from renewable energy sources, such as solar and wind. Satellite data can provide information to determine solar and wind energy production potential cheaper than usual observational activity to identify and assess suitable areas. Here, we present a case study for both energy resources assessment from satellite in harbours.

C. Bove, A. Mecocci, A.Pozzebon, F. Alquini, D. Bertoni, G. Sarti, J. C. Ferreira de Melo Júnior
A Low Power Wireless Sensor Node for the Measurement of Height Variations of Coastal Sand Dunes

In this paper the authors describe the structure of a wireless sensor node designed to measure height variations in coastal sand dunes. The paper focuses on the project and development of a sensing device able to measure the changes of height of sand dunes, based on an array of photoresistors (LDRs), designed to withstand the critical atmospheric conditions of coastal environments. Together with the sensing device, also a power control logic has been studied and developed, to reduce the power consumption leading to an ideal life time of the node of around two years. The sensor node is also provided with wireless communication capabilities based on the ZigBee communication protocol and is integrated in a network infrastructure for remote data collection.
The proposed sensor node, together with a minimal network architecture, has been developed and tested directly on the beach to prove its effectiveness. In this paper, the overall structure of the node is described, along with its operating principle and the functioning of the power control logic.

D. E. Bruno, E. Barca, R. M. Goncalves, A. Lay-Ekuakille, S. Maggi, G. Passarella
Evolutionary Polynomial Regression Model for the Prediction of Coastal Dynamics

The effective protection of the coastal ecosystem requires a detailed knowledge of the morphological evolution of the coastal environment. Several probabilistic models have been developed in the last decades to implement a reliable statistical forecasting of coastline dynamics. In this work, the non-linear Evolutionary Polynomial Regression (EPR) model has been used for the first time to evaluate the short-term dynamics of the shoreline from a set of measured shoreline positions in previous years. A comparison of the mean known shoreline positions with those predicted by the model, together with their confidence and prediction intervals, can be used to assess the reliability of the estimation by the EPR model.

R. Morello, C. De Capua, P. Filianoti, I. Jablonski
A Model to Monitor Sea State for Predicting Propagation of Pollutants in Sea and Ocean

Water pollution is a serious problem affecting rivers, seas, oceans and natural water resources. Pollution can be caused by human activities or as undesired consequence of an incident or natural disaster. The prediction of the propagation direction of contamination could support the decontamination activities in order to be more effective. By considering the disastrous effects on fauna and flora, attention is paid on oily contaminants, such as petroleum and oils, in sea and ocean. Such contaminants can be even not-visible at naked eye.
In this paper, the authors describe a revised model to predict the wave propagation direction so to evaluate the pollutant propagation. The model is based on the directional wave analysis. A buoy network equipped with altimeters is used to measure the instantaneous sea surface elevation. Time series measurements are processed to evaluate the directional wave spectrum. Consequently, the propagation angle of wave, and therefore the pollutant propagation, is predicted. The measurement uncertainty contribution is computed in order to optimize the estimation of the wave propagation direction.

Jun Yang, Li Zhang
Traceable Dynamic Pressure Measurement Based on Macro Definition or Micro Interpretation

Traceable dynamic pressure measurement is the primary problem faced by dynamic pressure metrology. Various traceable dynamic pressure measurement methods are described and analyzed, which include inertia force, hydrostatic pressure, shock wave theory, laser-piston, refractive index, spectroscopy and so on. Based on the characteristics of various methods and the practices of dynamic pressure calibration researches in CIMM, they are grouped into three categories, which are macro definition of pressure, fluid state equation and fluid physical properties. The latter two are related to the microscopic characteristics of the fluid, and rarely used by static pressure metrology. The advantages and disadvantages of the three categories are compared. The inertial force method is an easy and reliable dynamic pressure measurement method under the existing conditions. The method based on the physical properties measurement, including the laser-refractive index method and spectroscopy method, directly measures the pressure medium's own characteristics and may be able to achieve a wider measurement range and higher dynamic measurement accuracy, which is an important development trend.

J. C. Torres-Guzman, J. Aranzolo, D. A. Olson, J. Forastieri, A. Solano, C. Neira, P. R. G. Couto, L. De La Cruz, J. Palma, S. Garcia
SIM Key Comparison in Pneumatic Gauge Pressure for High Accuracy Pressure Balance up to 120 kPa, SIM.M.P-K6

This report describes the results of a pneumatic pressure standards key comparison among nine SIM National Metrology Institutes in order to determine their degree of equivalence in the pressure range from 10 kPa to 120 kPa in gauge mode. The pilot laboratory was the Centro Nacional de Metrología (CENAM, Mexico). All participating institutes used pneumatic pressure balances as their pressure standard. The transfer standard was a complete system including a pressure balance with a free-deformational piston- cylinder assembly and a set of masses. Eleven participants completed their measurements, although, only nine laboratories reported the pressure-dependent effective areas of the transfer standard at specified pressures with the associated uncertainties. NRC/Canada and BSJ/Jamaica withdrew the comparison by not sending their measurements. The results of the eight laboratories that sent their results were linked to the CCM.P-K6 comparison through the reference values provided by NIST, USA. The degrees of equivalence were evaluated by the relative deviations of the participants' results from those obtained by NIST. The results of six participating NMIs agree with the NIST reference values within their expanded uncertainties (k =2) in the entire pressure range from 10 kPa to 120.

J. C. Torres-Guzman, J. Aranzolo, D. A. Olson, J. Forastieri, A. Solano, C. Neira, P. R. G. Couto, L. De La Cruz, J. Palma, S. Garcia, A. Foreman
SIM Key Comparison in Pneumatic Gauge Pressure for High Accuracy Pressure Balances up to 7 MPa

This report describes the results of a pneumatic pressure standards key comparison among eleven SIM National Metrology Institutes in order to determine their degree of equivalence in the pressure range from 0.6 MPa to 7 MPa in gauge mode. The pilot laboratory was the Centro Nacional de Metrología (CENAM, Mexico). All participating institutes used pneumatic pressure balances as their pressure standard. The transfer standard was a complete system including a pressure balance with a free-deformational piston- cylinder assembly and a set of masses. Eleven participants completed their measurements, although, only ten laboratories reported the pressure-dependent effective areas of the transfer standard at specified pressures with the associated uncertainties; NRC/Canada withdrew the comparison by not sending their measurements. NIST, USA, provided the reference values to link the results to the CCM.P-K1.c comparison of the ten laboratories that sent their results. To evaluate the compatibility of results of the participants their relative deviations from those obtained by NIST results were analysed. The results of 7 participating NMIs agree with NIST reference values within their expanded uncertainties (k = 2).

Michael Bair
Verification of Gas Flow Traceability From 0.1 SCCM To 1 SCCM Using a Piston Gauge

Fluke Calibration is accredited for gas flow measurements in the range of 0.1 sccm to 6000 slm in nitrogen and air. Traceability is maintained directly through a gravimetric flow standard but only recently from 1 to 10 sccm. The traceability of flow in the range of 0.1 to 1 sccm is based on extrapolation of the use of laminar flow elements below 1 sccm. This part of the range has never been completely verified through interlaboratory comparisons, proficiency testing or other means of measurement assurance. In an internal document from DH Instruments in the early 1990s it was suggested that a piston gauge could be used to gain traceability for very lows gas flows. In order to prove out traceability in this range an attempt was made to use a piston gauge using a piston-cylinder size of 35 mm diameter as a reference.
One of the reasons for choosing a piston gauge as a reference is its ability to control pressure. This is crucial when measuring gas flow through a laminar flow element (LFE) in this design and range. In addition, the effective area is known to within 0.001% leaving the vertical displacement of the piston to dominate the uncertainty of the dimensional part of the flow test. This was a challenge because the measurements needed to be made in absolute mode and the internal piston position sensor supplied with the piston gauge did not have sufficient precision. This paper describes the theory and design of the gas flow measurement system, the current results, and improvements needed or suggested. Two different designs are discussed, one with a single piston gauge as a reference and the possibility of two piston gauges measuring flow on either side of the laminar flow element.
Note: sccm (standard cubic centimeters per minute) is an industry accepted alternative to kg/s [1]. It is used out of convenience to normalize flow rates of gases with significant differences in density.

Page 307 of 977 Results 3061 - 3070 of 9762