Verification results

What action is taken with previous verification results when devices are found to be out of calibration ... 

Figure 3. Calibration and verification results for solution Alachlor concentration at Traer, Iowa. (Reproduced with permission from Ref. 2.)...

For the sake of brevity, the reader is referred to Paper III for details of verification results for individual measuring devices. Below is the verification result of the method. 

The measurement method has also been verified in this paper. The verification result is in good agreement with the predicted uncertainty (recall Paper II) of the method, that is, the average relative uncertainty of the mass flow of conversion gas was determined to 5.5% and the verification result displayed average relative errors in the range of 5 %. 

Measuring equipment shall be calibrated or verified at specified intervals or prior to use and adjusted as necessary. The calibration status of each piece of equipment shall be identified and records of the calibration and verification results shall be maintained. When a piece of equipment is found not to conform to requirements, the previous measuring results shall be corrected. 

Residual oil impact estimates by modeling provided a severe test of GRID s capacity since the CMB impact estimates were small (less than one-quarter yg/m ) and the physical basis of the model inherently limits it s ability to predict point source plume transport. Since Initial comparisons (Figure 5) showed GRID estimated impacts to be overpredicted at all sites relative to CMB estimates, further improvements to the data base were suggested. Overall, annual model verification results for all sources were relatively poor with the dispersion model predictions consistently underestimating both the CMB-derlved estimates and the measured TSP mass data. 

All equipment for which calibration is applicable must be periodically calibrated. Periodicity of calibration must take into account the type of the equipment, risk assessment, and previous results. An extremely short calibration periodicity becomes extremely expensive, whereas an extremely long calibration periodicity could result in poor verification results. Poor verification results mean that the results generated are wrong and therefore all results obtained since the previous calibration must be reviewed. In conclusion, adequate evaluation of the calibration periodicity is essential. 

The management staff responsible for the area being audited ensures that actions are taken without undue delay to eliminate detected nonconformities and their causes. Follow-up activities include the verification of actions taken and the reporting of verification results (see 8.5.2). 

An analytical solution was derived and used to calculate subsurface air pressure (equation 6) for a sinusoidal pressure fluctuation at the soil surface (equation 7), with the unsaturated zone consisting of homogenous soil. The initial condition was the mean air pressure throughout the unsaturated zone. Verification results are presented in the following section and the full derivation is presented in Appendix A. 

An approved version of the validation plan should be available when a computer technology supplier or contract developer is being selected, and should be updated whenever project events or verification results require a change. An example of a project event would be a change in project scope. 

The EU ETS is a remarkable achievement. Current debates, in the light of the first verification results, the allocations for phase II, and the launch of the Review for phase III, offer important windows of opportunity to improve the scheme for both phase II and beyond. Member States need to look beyond the immediate short-term pressures of allocation negotiations, and seize the opportunities on offer. 

Chenevez J, Baklanov A, Sorensen JH (2004) Pollutant transport schemes integrated in a numerical weather prediction model Model description and verification results. Meteorol Appkll (3) 265-275... 

Figure 9.3 presents one example of the verification results for the DMI-HIRLAM-U01 research model with a 1 A-km resolution for May 2005 (Mahura et al., 2005 [390]). It shows better prediction of the diurnal cycle of the average wind velocity at 10 m than with the S05-version. On average, the bias for both models was around 1.5 m/s. The verification runs underlined that increasing the resolution (down to 1 km) brings some improvement to the skill of the meteorological forecast. Nevertheless, it will be also very important for further improvements to have more detailed surface features databases and to increase the quality of the land-use classification (LUC) for urban areas. 

The parameterisation has been tested on the city of Basel (Switzerland), Mexico City (Mexico), Copenhagen (Denmark), and verified versus the BUBBLE experiment (Basel Urban Boundary Layer Experiment Rotach et al., 2005 [549]). The verification results (Figure 9.11) show that the urban parameterization scheme is able to catch most of the typical processes induced by an urban surface Inside the canopy layer, the wind speed, the friction velocity and the atmospheric stability are reduced. In the other hand, even if the main effects of the urban canopy are reproduced, the comparison with the measurement seems indicates that some physical processes are still missing in the parameterization. In most of the cases, the model still overestimates the wind speed inside the canopy layer and it can have difficulties to simulate the maximum of the friction velocity which appears above the building roofs. 

Abstract motif is a three-dimensional finite-element code developed to simulate groundwater flow, heat transfer and solute transport in deformable fractured porous media. The code has been subjected to an extensive verification and updating programme since the onset of its development. In this paper, additional verification and validation works with an emphasis on thermo-hydro-mechanical processes are presented. The verification results are based on cases designed to verify thermo-hydro-mechanical coupling terms, and isothermal and non-isothermal consolidations. A number of validation case studies have been conducted on the code. Example results are repotted in this paper. 

Often, time to failure data is not available for a collection of components. Incomplete data can be used to estimate failure rates imder these circumstances but one must be very careful, especially when estimating failure rate data to be used for probabilistic SIF verification. Results that are not conservative can lead designers to believe that safety integrity levels are higher than they really are. 

It is therefore essential that the inputs and outputs associated with all Safety Instrumented Functions (SIF) be properly defined to address the specific hazardous event being prevented or mitigated by the SIF. Failing to do so will result in erroneous SIL verification results. 

Verification demonstrates intended function and confidence of no nnin-tended function impacts to safety. R R R A N Verification Results 5.5.S.2 ... 

A-1 SAV plans comply with this document. O O o SAV Verification Results 11.14 ... 

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