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Hence, reduction of CO2 concentration in the atmosphere, especially reducing the emission of CO2 from industries with fossil fuel, is one of the major effective measures and challenges in any greenhouse gas mitigation strategy.
The aquifers here are usually characteristic of large thickness and wide distribution, and the cap rock is poor in hydrodynamic property while the porosity and permeability of the aquifers are ideal.The basic statistical characteristics of main parameters for the storage capacity assessment was calculated (Table.1), and it can reflect that the spatial variability of Thickness Ratio based on the data we acquired are stronger than the rest three parameters.
If the data for spatial discretization was adequate, this method could take account of the spatial variability of the hydrogeological parameters, and the evaluation results were high precision.
Using the same batch of data to calculate the storage capacity as shown in the Table.2: Table.2 Comparison of assessment results with different parameter determination Parameters Empirical Value Mean Value Mixed Value Spatial Discretization Area of Aquifers[km2] 39800 \ \ \ \ Sedimentary Thickness [km] 2.70 \ \ \ \ Volume of Formation[km3] \ 51748.54 51748.54 51748.54 51718.58 Thickness Ratio[%] 14* 27.11 27.11 14 \ Porosity[%] 10* 15.63 10 15.63 \ Density of Formation Water [kg/m3] 1025* 1066.39 1066.39 1066.39 \ Solubility of CO2[mol/kg] 1.16* 1.13 1.13 1.13 \ Capacity[Gt] 78.71 116.26 74.36 60.04 81.80 *Extract from Koide and Wu’s research[6, 10] While Spatial Discretization method reflecting the advantages of storage capacity of space variation, it claims the quantity of date collection and rational spatial distribution of them.

Therefore, in order to provide reliable technical data for the maintenance work of SOFC, we need to detect the laying depth and buried routing of SOFC on a regular basis.
The magnetic field produced by armored layer will be added on ocean background magnetic field, hence, if the high precision of underwater magnetic field data is obtained, we can analyze the actual magnetic field anomaly characteristics, to identify and locate submerged by the magnetic anomaly characteristic [2].
Nicholas P.chotrios[5] verified that low-frequency sound waves can penetrate the seabed and it is less affected by the submarine small-scale fluctuation, meanwhile, with the frequency reduction, the impact of sediments on attenuating sound waves decreases, which ensures that target can be effectively irradiated and echo can be recieved.
InSAS not only can observe the laying depth and buried routing of the continuous SOFC, but also can obtain the attitude of SOFC, to provide reliable technical data for the maintenance work of SOFC.

We weighed the amount of wear each two times of grinding by High Precision Electronic Balance(shown in Fig. 4), and took the average of two rollers’s wear volume as analysis data of the experimental.
试验号 A Striped depth [mm] B The number of stripes 1 1(0.6) 1(60) 2 1(0.6) 2(70) 3 1(0.6) 3(80) 4 2(0.8) 1(60) 5 2(0.8) 2(70) 6 2(0.8) 3(80) 7 3(1.0) 1(60) 8 3(1.0) 2(70) 9 3(1.0) 3(80) Experimental Results and Regression Analysis Each of the tests has two rollers, each roller has wear volume, we made the average value of the amount of wear of the two rollers as the test indicators, The following we use orthogonal polynomial regression design for data processing, Table 2 is regression design table.
Since there is no repeated tests, (1) (2) The above table data can be calculated: Usually called factors of α≤0.1 as significant factor, those are X1(z1), X1(z2), X2(z2), X2(z1)X1(z2) and X2(z1)X2(z2).
The sandskink of the sahara-A model for friction and wear reduction[C].

Then we use our own approach to process the spectrogram data and obtain some projection vectors.
The insect voices are obtained from data base of United States Department of Agriculture [8].
After producing the spectrogram, some basic image processing methods like noise reduction, normalizing and graying [9,10] are used.
Fig.4 shows projection data in frequency domain of two different insects.

Cyclic spectral analysis for bearing diagnostics Given a characteristic cyclic frequency α at which a fault is likely to occur, a probability p of false alarm (i.e. of wrongly concluding to the presence of a fault), and a finite-length record 1 =0{ [ ]} L nx n − of L samples, one must decide between to the two alternative hypotheses: H0: "The vibration signal does not contain a fault at cyclic frequency α" H1: "The vibration signal contains a fault at cyclic frequency α" It can be proved the following decision rule is optimal: "Reject the null hypothesis H0 if ( ) 2 2 1 ,2 ˆ| ( ; ) | ' 2 L x p if fγ α χ− '≥ ⋅ E (7) where ( )ˆ ( ; ) L x fγ α is the cyclic coherence estimated on L samples and 21 ,2pχ− is the percentile of the chi-square law with two degrees-of-freedom and E is the variance reduction factor of ( )ˆ ( ; ) L x fγ α .
Experimental results This experiment is concerned with bearing signals recorded on rail vehicle bearings, which have been overloaded on a test rig so that faults have developed (data have been collected at the Laboratory of Vibration and Acoustics of the University of New South Wales (Sydney), under the supervision of Professor Bob Randall).
However it should be emphasised that these frequency bands are readily available in the cyclic coherence without requiring any comparison with historical data, as required for instance when comparing power spectral densities.
It can be demonstrated that, given a finite-length record of data, the cyclic coherence (powernormalised cyclic power spectrum) is actually the cyclic spectral quantity that offers the best detection capability of the fault.

A number of transducers were used to measure the squeal data and the data was then recorded through data acquisition system (DAQ) of 16 channel Dewetron Fast Fourier Transform (FFT) analyzer.
Quaglia, Disc Brake Squeal: Mechanism, Analysis, Evaluation and Reduction/Prevention, SAE-Society of Automotive Engineers, 2006

Recoding last 10 minutes for each measuring point with a 5 seconds interval, take the average of the data.
Japanese made Ion Tester COM-3010PRO is used to test the anion concentration in plants and materials, 20 seconds for one data and take the peak number, 3 data for each test.
The expansion of urban green space and reduction of unnecessary hard pavement can not only be beneficial in increasing air anion concentration, reducing dust pollution, improving air quality in cities and urban environment, but can also build an ideal urban landscape pattern.

The selected one-factor, corresponding levels of values and data matrix set of experiments used for statistical analysis are expressed in Table 1.
Table 1 Three data sets of exit burr height values from various spindle speeds.
Compared with the data for 750 rpm, at spindle speed of 415 rpm, the number of workpieces were 23% higher than those of the spindle speed of 750 rpm (about 3,000 pieces) which incease the value approximately 63 USD(0.0211 USD per piece ) or 3,291 USD per year.
Conclusion This research had systematically investigated the influence of spindle speed on exit burr height in order to obtain the appropriate drilling condition that led to manufacturing cost reduction of forging brass as a water-valve component by using design of experiments with one-way ANOVA.

From the XRD data showed that all ceramic samples have a single perovskite phase without any traces of impurity phases.
The data clearly shows that the sintering temperature influence on the density.
The reduction of density at higher sintering temperature may be due to evaporation of some elements during the sintering process.
From the data exhibited the sinterng temperature has small effect Td and Tm.

From this work, the potential of synchrotron radiation to complement conventional characterization techniques in the investigation of nanoparticles for high density recording and biomedical applications is underlined. 1 Introduction Magnetic nanoparticles are currently studied and developed for both biomedical applications and ultrahigh density data storage.
The results revealed polydispersity of the magnetic nanoparticles and the unified exponential-power law model of Beaucage was used to fit the measured data in order to analyze the particle size and size distribution.
R [nm] R [nm] Reaction 2 Reaction 1 N(R) N(R) (a) (b) Fig 3- Size distribution curves of nanoparticles synthesized from Reaction (a) 1 and (b) 2. 4 Conclusion Nanoparticles of average diameter less than 5 nm in n-hexane can be synthesized from the polyol reduction process of Fe(acac)3 and Pt(acac)2 in the benzyl ether solvent.
Kohlbrecher: A program for fitting elementary structure models of small angle scattering data.