Search results

Statistical data at home and abroad indicates that transportation accidents of hazardous chemicals account for about 30% to 40% of all accidents of hazardous chemicals [2].
But in China, there is a lack of complete records about the relevant data, no matter in traffic management department or the chemical industry.
Liyong Yan et al. analyzed the data of chemical traffic accidents from 2007 to 2009, and found that the situation of chemical traffic accidents in summer had been greatly improved.
Acknowledgements This research was supported by the Fundamental Research Funds for the Central Universities (2009SD-20).Several research assistants contributed to this paper, including the Ministry of Civil Affairs National Disaster Reduction Centre.

As it can be seen from the water data, Henan Yellow River annual actual water consumption is less than the quotas, there are about 10. 95x108m3 the Yellow River potential.
According to the data over the years, for example the Yellow River dried up in 2002 and Henan suffered severe drought in 2009, Henan Yellow River Diversion indicators have been almost fully used.
In water resources planning and management the linear relationship would be expressed between water supply volume and GDP (the multiple correlation coefficient of linear fitting is r2 >0.8 in the statistical analysis of data).
Table 2 Henan Yellow River Conservancy Resource Utilization Analysis Year 2005 2020 2030 The External Demand Water of River Channel（108m3） Total Water Supply 50.4 59.2 64.8 Urban and Rural Domestic 3.9 6.0 7.2 Agriculture 33.2 37.3 39.8 Non-agriculture 12.9 15.6 17.3 Other Energies 2.7 3.8 4.7 Ecological 0.3 0.4 0.6 The External Water Supply of River Channel（108m3） Total Water Supply 50.4 59.2 64.8 Surface Water 20.0 29.9 35.6 Groundwater 30.4 27.6 25.8 Others 0.1 1.7 3.5 The External Water Consumption of River Channel（108m3） 34.2 40.9 45.1 Waste Water Discharge（108m3） 8.4 10.5 11.9 COD (104t) Total Emissions 15.5 19.9 24.9 Total Reduction 3.2 11.0 18.0 Water Investment (108yuan) 298.3 551.7 Water Saving (108m3) 6.6 10.0 Wastewater Treatment Plant Standard（Unit） 18 27 Analyzing the integrated planning of the Yellow River water resources, in the absence of external basin water transfer case, the water quantity available forecast of Henan water resource is shown in Table 3.

Based on properties established based on the experiment, i.e. the residual concrete strength after exposure to various temperature levels, we can conclude that the experiment results were very similar to data on concrete strength at elevated temperatures specified in [2] and [3].
This way collected data will serve as underlying data for the calculation of the stability of lightweight concrete structures immediately exposed to fire effects.
Both methods need reduction of the tension of the concrete reinforcement depending on temperature achieved in the proximity of the reinforcement.

Through the indoor soil tests on undisturbed soil samples taken from the red clay, a large number of experimental data of the physical and mechanical properties have been obtain.
In addition, it is found a significant reduction in strength
The spatial variation of cone penetration test data has been obtain by two single-bridge penetration tests and seven two-bridge penetration tests as figure.1.
When the relationships of the cone tip resistance and soil depth are analyzed, these data may be ignored.

But for the high-precision straightening model, the regulation accuracy of reduction amount within the 0.1mm.
Meanwhile, for the leveler process model provided high precision feedback value and reliable parameter modifying data[1-2].
Thus we can obtain the realistic data of straightening process, and provide precise compensation parameters for the leveler control system to achieve lean straightening[3].
The implementation of the frame bouncing compensation In the straightening process, according to the original panel data we can calculate the process setting value, such as anteroposterior roll gap, straightening speed, force, torque and so on, and extract the frame stiffness of corresponding to this value from the database.

It is seen that the deviation of the experimental data from the calculated value is less than 5% for all the results of viscosity in Table 2, which also demonstrated that it is feasible to calculate the viscosity of CaF2-SiO2-Al2O3-CaO-MgO slag by FactSage.
According to the experimental data in Table 2, the viscosity equation of component dependency was found to be established as Eq. 1
Based on the calculating data of viscosity in Table 2, the regression equation was tested by analysis of variance (ANOVA), and the results are shown in Table 3.
When the CaF2 was less than 35%, the viscosity of slag presented weak reduction with the increase of CaO.

Results and Analysis Validation of Analytical Methods Wind tunnel test conditions due to limited, in order to ensure the reliability of calculation models and methods, first select a group of experimental data in literature [7] comparing trials.
Literature [7] is given single conductor experimental data, this paper analyzes quad-bundle conductors, so take the upwind sub conductor 1 simulation result that not affected by wake flow compared with test data, as shown in Fig. 3.
Lift formation is due to the level wind that has uniform velocity over conductor, the upside velocity increases lead to reduce the static pressure, and the bottom is just opposite, reduction in velocity, static pressure increases, therefore, an upward lift produced on the conductor.

However, due to the limitations of FLAC3D, all stress-strain data is the data of the cell center.
To investigate the relationship between coefficients a, b, c and foundation depth H and distance D, A functional relationship can be established: .Based on the above calculation data, a, b, c can be described: (6) (7) (8) The correlation function can be described by the above formula.
A Practical Procedure For Searching Critical Slip Surfaces of Slopes Based on The Strength Reduction Technique[J].

The SYSTAT package of statistical programs was used to analyse the available data and measure the interrelationships between pairs of variables.
Reduction of CaO content in the mixture and additional SiO2 and Al2O3 from class-F fly ash has significantly affected the dissolution and polycondensation of geopolymer precursors.
These specimens were preferred for the reason that analyses on setting time, compressive strength and porosity results have displayed consistent movements along with the replacement percentage of source material, hence three data points between control and treated specimens would provide sufficient evidences for this analysis.
Based on the correlation coefficient data in Table 4 and 5, classification of these values is given as follows: · Potentially important: Correlation coefficient between -1.0 and -0.8 or +0.8 and +1.0 · Possibly important: Correlation coefficient between -0.8 and -0.4 or +0.4 and +0.8 · Not important: Correlation coefficient between -0.4 and +0.4 It is apparent in here that role of carbon (C) in the early age development is potentially important to geopolymer system, since it is significantly affecting source material reactivity.

At specified regular interval load Vs displacement data were obtained during the cyclic fatigue test.
The significant steep reduction nature of curve is attributed to three regions of fatigue mechanism of failure.
The endurance limit obtained from S-N curve data is 20.02 MPa.
The endurance limit obtained from S-N curve data is 20.02 MPa.