Search results

Table 2 Energy coefficients of different industrial sectors in 2010 Industrial Sectors GDP (billion RMB) Energy Consumptions (thousand tce) Energy Coefficients (tce/million RMB) CO2 emissions (million ton) CO2 Coefficients (ton/million RMB) Primary Industry 4053.36 64770 15.98 771.7 190.4 Secondary Industry 18758.14 2373280 127.75 6169.6 328.9 Tertiary Industry 17308.7 465760 26.91 1299.7 75.1 The latest official data showed that China’s CO2 emissions reached 8240.958million ton in 2010 [10].
With the data of energy consumption of the three industrial sectors and the total amount of CO2 emissions, the CO2 coefficients of the different industries are calculated (see Table 2 and Fig. 2).
Industrial restructuring contributes to 0.87% and 0.9% of CO2 emissions reduction in 2015 and 2020.
This indicates that energy efficiency improvement has more effects on the CO2 emissions reduction.
This target on CO2 emissions reduction is likely to be achieved in the optimal condition of scenario 4.

According to the penetration test and lots of soil moisture data, the water reduction ability of terrace and slope land were analyzed, which can provide decision evidence.
The ability of the water reduction between terrace and slope land were analyzed through the test data, which can provide basis to the runoff simulation under different underlying condition and planning of soil and water conservation works.
Data analysis Penetration ability analysis.
Water reduction ability analysis.
So, the water reduction ability of terrace is higher than slope land under the same condition.

Rough set theory (RST) as a new data mining method, can deal with uncertainty and incompleteness in data analysis.
Production Process Data Acquisition Database Data Cleaning Model Development Data Analysis Output Generation Domain model Query Tools Statistics & AI tools Visualization Tools Goal of KDD Keys: Data Flow Process Flow Tools Usage Fig1.
It integrates learning-from-example techniques, extracts rules from a data set of interest, and discovers data regularities.
The rule acquisition is made up of four components (enveloped by broke line), namely, data inspection, data discretization, attribution reduction and rule composing, those are basic steps within mining control rule process.
Data inspection During this initial step, the first inspection of the data is performed.

Introduction In rough set theory, knowledge reduction is one of important research contents, through the knowledge reduction simplify the processing of large amounts of data information, in order to rapid get useful knowledge.
Value reduction is a very important aspect of knowledge reduction.
Currently, people have done much work, proposed a lot of reduction algorithm.
Based on this, attribute union method is used in this paper to obtain attribute value reduction.
Attribute Value Reduction Algorithm Design of Attribute Union.

Moreover, the following input data were taken for simulation: tool temperature, 60°C; ambient temperature, 20°C; friction coefficient, 0.3; friction factor, 0.7; the coefficient of heat exchange between the material and the tool, αnarz = 3000 [W/Km2]; and the coefficient of heat exchange between the material and the air, αpow = 100 [W/Km2].
Effect of the relative rolling reduction, ε, on the magnitude of the strip curvature, ρ, for different values of the asymmetry factor, av, and a constant strip shape factor value of h0/D = 0.035 It can be stated from the data in Figure 2 that for the 35 mm-thick strip (h0/D = 0.035), in the examined range of rolling reductions ε, a straight strip will be obtained for the following rolling reductions: ε≈0.18÷0.19 (at av=1.01÷1.03), ε≈0.21÷0.22 (at av=1.05÷1.08), ε≈0.25 (at av=1.15) and ε≈0.28 (at av=1.10).
The data shown in Fig. 6 indicate that straight strips, for h0/D = 0.016, on exit from the deformation zone can be obtained for a relatively wide range of rolling reductions and peripheral speed asymmetry factors: for ε≈0.25, at av=1.01÷1.03 and at av=1.08÷1.10, and nearly straight strips (with a very small curvature) for rolling reductions of ε≈0.30÷0.50, except for the cases, when ε≈0.30; at av=1.08÷1.10 and when ε≈0.50; at av=1.15.
It follows from the data in Figures 1 to 7 that the rolling process parameters examined significantly influence the magnitude of strip curvature and the direction of strip bending upon exit from the deformation zone, and the relationships between the process parameters examined and the strip curvature have a periodic character, as confirmed by the author’s previous results obtained from the investigation of the asymmetric sheet hot rolling process in the continuous Rolling Mill [7, 8].
It can be seen from the data shown in these figures that as the thickness of rolled strip decreases from 50 mm to 14 mm (h0/D = 0.05÷0.014), the magnitude of rolling reductions, for which a straight strip is obtained, changes.

The inventory data of Chinese coal-fired power generation in 2009 without denitration technology applications were measured.
The output data include the CO, N2O, CH4, CO2, NOx, PM and SO2 emissions.
However, their studies cannot provide updated data on emissions reduction due to lack of 600 MW or more turbo-generator sets early time.
The inventory data of Chinese coal-fired power generation in 2009 were selected as the baseline in a case study due to the lack of denitration technology applications at that time and the large power demand and generation.
Results and Discussion Data collection.

Bloodcompatibility Improvement of Titanium Oxide Film Modified by Hydrogen Plasma Reduction Y.
Ti/O ratio of Ti-O film from the XPS data vary with depth under different reduction temperature and time.
Hydrogen plasma reduction experimental parameters of Ti-O films are shown in Table 2.
It was believed that non-stoichiometric TiO2_x films were obtained by hydrogen plasma reduction.
It was apparent that reduced effect becomes stronger with the increasing of hydrogen reduction temperature and time.

In carbon tax situation, we set up two kinds of carbon emissions reduction targets: total carbon emissions and carbon intensity reduction targets.
； (2) Known from the equation 2 The optimal reduction makes the marginal cost of emission reductions equal to carbon tax rate.
When setting the carbon tax rate ,the government alse need to consider the emission reduction target achievement.Accroding to Shenzhen’s emission reduction scheme,we set two carbon emission reduction target
And building dynamic game model, making it is more in line with the reality of the actual carbon tax system.Finally, we get the conclusions via analyzing data and model
Fang: Carbon Emission Reduction Strategy Study Based on Carbon emission Reduction cost evolution curve.

Keywords: low noise; asphalt concrete; noise reduction principle; safety performance.
Table 1 Experimental results of vibration noise reduction in JinRongJie project Measurement data measurement pos.
This shows that porous asphalt pavement has a better noise reduction effect
Therefore, the total noise reduction effect is about 3-5dB [4]
After years of use, the pores are blocked of the pavement, the noise reduction effect will decrease, and it can also reach 2-3dB [7].

With combination of obtained lattice constants and oxygen nonstoichiometry data, the effect of oxide ion vacancy on crystal lattice and their thermodynamic behavior have been deduced.
With combination of reduction expansion behavior and oxygen nonstoichiometry data estimated by thermogravimetry [7-9], the effect of oxide ion vacancy on crystal lattice was clarified and thermodynamic behavior of oxide ion vacancies was deduced.
[CuK α ]） X-ray Intensity Raw data 220 peak 208 peak Curve fitting 67 68 69 70 2θ (deg.
For the quantitative analysis of effect of δ on reduction expansion, dependence of lattice constants for hexagonal description and molar volume on δ was calculated by combining data of Figures 4~7 and oxygen nonstoichiometry data reported by Onuma and coworkers [11].
Yashiro (Research Institute of Scientific Measurements, Tohoku University) for supply of oxygen nonstoichiometry data and fruitful discussion.