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And the carbon emissions for 100 million yuan GDP is increasing.Finally, some measures are proposed for the carbon emission reduction in Zhengzhou.
Data sources and research methods IPCC shows that the increasement concentration of co2 in atmospheric is the main reason leading to the rise of future global surface temperature[7], and the increasement concentration of co2 in atmospheric mainly comes from  fossil fuel combustion, industrial production process and other human activities[8].So carbon emissions caued by economy development and energy consumption is a research hotspot to explore effects of human activity on the global carbon cycle.
This paper dicussed the dynamic changes of carbon emission from energy, cement production and population based on the data of Henan Statistical Yearbook and Henan Yearbook between 2000 and 2009 in Zhengzhou Calculation method of Carbon Emission in Energy Consumption Carbon emission of energy consumption uses the method of carbon coefficient,which is the statistical average value of the volumes of gas discharged by unit product in the normal technology economy and management conditions.The formula is as follows (1) where is carbon emission; is carbon emission of unit product ,that is carbon coefficient and is the quanlity of product in the formula.
But with the economic crisis in 2009 , demands of various industries for the coal droped and the proportion of carbon emission of the coal decreased to 92% in 2009 from 2000 96% .On the contrary, the proportion of carbon emissions of natural gas significantly increased, that indicates structure of carbon emission of the energy haschanged Measures of energy-saving and emission reduction has initial success.

In this paper, finite element software are used for the CTOD test specimens to simulate the characteristic values, then compared with the experimental data to draw the appropriate conclusions.
The calculation of fracture toughness is a very comprehensive issue, it need to consider the complex boundary conditions, while the geometry, material nonlinearity, large deformation processing brings considerable difficulty for these issues. with the reduction in the costing and the substantial increase in computing speed, the finite element method for high precision calculation to solve the problem of computing has become the first choice.

Methodology Data description.
An M×N matrix B , described in eq.(1), was constructed from Figure 1, Bi was a whole ECG waveform data vector.
N was the number of parameter in Bi , M was the number of data point in one person's whole ECG waveform.
The data were selected from one person's three minutes ECG data.
The experiment used 25 individual ECG data, so 25×(25-1) two class classifiers will be constructed.

Walking paths for tests conducted shown in blue with the accelerometer locations shown in red Experimental Tests - Data Acquisition.
A laptop was used to transfer and store the acceleration time history data.
Data Filtering.
Some noise was prevalent in the data, this is indicated by the additional vibrations imposed onto the acceleration time history shown in Figure 5.
This is observed as an average reduction of 1.2 in the R-value.

The output of CAM module – CL data – is imported into new software application as the basis of NC program.
Many CNC machines can be programmed on the shop floor, with the operator entering data at the control panel.
The data verification was realized on the part displayed in the Fig.5b.
The background where were data loaded and processed is displayed in the Fig.6.
The ground tasks for near future in focus of authors are: · Research for general format of process plan data

Automotive operation data sharing has become a feature of the automotive network.
Data is sent in one direction of the ring.
All the data between the nodes in the network is transmitted through the central node
Any node can send data to other nodes at any time.
Gateway is used to accomplish the data exchange between them.

Process the acquisition data using the virtual oscilloscope DSO2902.
Therefore, it is a major concern as how to solve the problem of massive data processing in the real-time data processing.
The data are then sent to the host computer for follow-up processing.
The data of signals memorized in computer were processed by using software system of data collecting.
CDS noise reduction of partially reset charge-detection nodes.

From eight in the morning until six in the evening, data was collected hourly.
The cumulative DO has grown by a factor of 16.15, according to the data.
There was a total productivity of 7.58 L for MSS and 2.588 L for CSS, as shown in the data.
Day and night time values of modified and traditional solar still are covered by the data supplied in this table.
The reported data show that the MSS has a Cost per liter of 0.43 ₹/l and the CSS has a CPL of 0.47 ₹/l.

For Al alloys many of the required data have been measured, critically evaluated and assessed in the European research programme COST 507 [20].
One of the most sophisticated data bases available - including the 15 most common elements of wrought Al alloys (Al-Mn-Fe-Si-Mg- ODF ϕ2=0° sections intensity levels 1 - 2 - 4 - 7 - 10 - 15 (a) AA 3104, Tcoil=260°C (b) AA 3104, Tcoil=280°C (c) AA 3104, Tcoil=315°C (d) AA 5182 Fig. 3.
(8) Note that the required microchemistry data, including the particle density entering in the Zener-drag pZ (Eq. 6) as well as the concentration of solids css (Eqs. 2, 3, 8), can be provided by the microchemistry model ClaNG.
The microchemistry data necessary as an 8 input for the softening module (Eqs. 2, 3, 6, 8) were computed with the microchemistry model ClaNG.
Obviously, the resulting recrystallisation kinetics data agree qualitatively well with the above findings that coiling temperatures in excess 300°C are required to enable full recrystallisation during self-annealing of the coiled hot strip, see Fig. 3.

It can be seen from Table 2 that energy consumption data in 2009 was complete, so energy consumption data in 2009 was calculated and analyzed.
Table 4 shows monthly electricity consumption data in 2009.
Energy consumption data of subsystems should be studied.
The reasonableness of data should be emphasized.
The continuity of data should be emphasized.