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The proportion of chemical speciations of uranium shows that the bound to carbonates＞the bound to Fe-Mn oxides＞the exchangeable＞the residual＞the bound to sulfide-organic matter speciation, which is beneficial to cost reduction on in-situ leaching of uranium and environmental protection.
According to the International Atomic Energy Agency, the newly site data, in global 1352 known uranium deposits, there are 530 sandstone uranium deposits, which accounts for 27.9% of the world's proven reserves total ,and the quantity and the reserves of it are among the first.In recent years,the 6 kinds of new large and super large sandstone type uranium deposit were found and proved in Cenozoic sedimentary basin in North China,and this greatly improving the status of sandstone uranium deposit in the uranium resources, and which become one of the four main industrial type uranium deposits in China.
Each cycle of uranium mineralization is related to the oxidation zone closely, and the regional interlayer oxidation zone of Sangonghe Formation V cycle is the main ore-bearing bed, in which is coarse grained sandstone in low permeability, the top and bottom is mudstone or shale and siltstone interbed, and ore bodies in the oxidation zone and reduction with the transition position.
All test data are shown in table 1 .According to the level of the desires of sequential chemical extraction of uranium grade value within a 5% soluble method, shows that the experimental data with high reliability.
The bound to carbonates’ uranium can be extracted under the condition of weak acid, the proportion of this uranium which is beneficial to the acid and pollution reduction is higher(mean of 44.62%).

Results of this study provide the basis for the vibration and noise reduction design of the locomotive cab.
Main test equipment Serial number Equipment name 1 Artemis Analysis Software 2 HPS IV digital playback system 3 Acoustic sensors 4 Artificial head (ears) 5 SQLab Ⅱ{TTP}8545 Multi-channel data acquisition recorder Test equipment.
Research on noise reduction countermeasures Noise sources control.
Design a streamline locomotive cab, while reducing the body's rugged place, to reduce aerodynamic noise; Spray damp slurry to the inner wall of the train body for reducing the vibration; Design flexibility wheels to reduce effects of wheel-rail noise for the locomotive cab; Make a noise reduction design for the main devices of the locomotive cab, such as increasing manufacturing precision, reducing the installation clearance and deviation; Install vibration reduction pads for the main devices to reduce the noise which caused by vibration of the running devices.

Actual data is sent cycle from BAS to PCS.
Data management.
All these data should be managed by data management function, and be stored in database.
The PCS model calculation data are shown in Table 4, and the actual rolling data are shown in Table 5.
Data communication, process tracking, data management and model calculation functions are realized with PCS

(a) (b) (c) (d) Fig.2 Corrosion morphology of the base and FSP samples after 5 hours exposure The EDS data for the processed metal after 8 hours (Fig. 3) shows an increase in the concentration of Al (~2%) in the corrosion products formed; in contrast, previous specimens showed no significant Al concentration in any of the corrosion products.
This can be attributed to a greater role being played by the secondary or β- phase due to the homogenization of the grains and a reduction of the cathodic role usually played by the noble β-phase.
(a) (b) (c) (d) Fig.3 Corrosion morphology of the base and FSP samples after 8 hours exposure The increasing exposure time (at 11 hours) results in pitting corrosion and formation of dolomite crystals on the surface of the base metal as is correlated by the marked increase in Ca concentration from the EDS data (Fig.4).
Further, the EDS data also shows a much greater CO2 concentration (of 30% - 40% at. wt.) in the base metal when compared to (8% - 10% at. wt.) the processed sample.
This is proof of the significant reduction in porosity affected by the FSP process.

Data mining discovers knowledge and useful information from large amounts of data stored in databases.
In order to overcome the limit which are caused by applying traditional data mining methods to multiple tables, multi-relational data mining (MRDM) is proposed.
Object-Oriented Data Mining (OODM) is a field whose time has come.
Almost all current researches to OODM tailored to specific forms of data mining and specific data types.
Of course, this requires that the data is perfect.

The following equation was obtained by carrying out statistical analysis using the SPSS (Statistical Package for the Social Sciences) program form the present experimental work and previous studies data.
Settlement reduction ratio Sr models.
Summary of statistical models of settlement reduction ratio Sr.
Error of the Estimate 1 0.942 0.887 0.855 0.07 2 0.977 0.954 0.942 0.108 3 0.940 0.883 0.866 0.067 Appropriate Models Stress Concentration Ratio n When the data fitted are very well, then the explanatory power of the model is measured by the coefficient of multiple determination R2=0.990 (adj.
Conclusions The experimental work and statistical analysis of data revealed the following conclusions: · Stress concentration ratio, which is known as the ratio between the applied stresses on the stone column to the applied stress on the soil surrounding the column, or (n =sc/ss)

It will take the accountability system for energy saving and emission reduction .
In the actual process of calculating carbon emissions, if energy consumption data are represented by standard coal, without subdivision into coal, oil and natural gas information, we can calculate carbon emissions coefficient according to the following formula[1]
This study use the average of the findings of each agencies, as shown in Table 1: Table1 The carbon emissions coefficient of different energy Data Source Coal Oil Gas Hydroelectric and nuclear power DOE/EIA 0.702 0.478 0.389 0 The Institute of Energy Economics in Japan 0.756 0.586 0.449 0 climate change project in State Science and Technology Commission 0.726 0.583 0.409 0 Energy Research Institute in National Development And Reform Commission 0.7476 0.5825 0.4435 0 Mean Value 0.7329 0.5574 0.4226 0 According to the carbon emissions coefficient of different energy, we will get 0.608 as carbon emissions coefficient of standard coal.
That means energy-saving and emission-reduction in Hebei province has achieved a great progress during the "Eleventh Five-Year" period.
In order to realize the target of energy saving and emission reduction, the State has introduced a series of measures such as Regional Restricted Approval.

These parameters represent the majority of the original data information, while not interrelated with each other.
These parameters represent the majority of the original data information, while not interrelated with each other.
The modeling process of PCA The selection of principal components must be based on a large number of data.
Choose the the sample data which "Tiens" dredger obtained in practical operation at Caofeidian.
These parameters represent the majority of the original data information, while not interrelated with each other.

First of all, the moving average method is used to preprocess the original data and weaken the burr of the original data.
The main calculation steps of this model are as follows: On the assumption of the original data series (1)Use the three-dots smoothing method to preprocess the raw data (1) Process the endpoint data as follows (2) (3) The moving average of the original data processing, not only weakens the effect of burr data in original sequence, but also enhances the regularity of the original data, and makes the model prediction results more scientific
Therefore, consider the N data of random sequence x as time series of limited energy, the spectrum of observed data can be obtained by Fourier transform.
（1）Construct the residual time series; By the data of the nearby principle, the most recent data can reflect the nature of the electricity consumption better, therefore the residual time series is constructed as formula (11); (11) Where, residuals of the data is
(2)Conducting a one-accumulate of , we get as follows: (3)And the data matrix and

Simulation results were verified by data obtained from benchmark tests and further analyses of distributions of pollutants were carried out in this paper.
Introduction Increasing efficiency of marine diesel engines is always the eternal topic, and reduction emission from engines has been a main issue since 19th May 2005, IMO MARPOL 73/78 protocol Annex VI coming into force [1].
With a view of reduction in NOx emission based on minimizing loss of the efficiency of marine diesel engines, this study was focused on research on engine combustion and NOx formation.
Report: Non-road diesel emission reduction study.
October 14, 2003 [4] Holtbecker, Rudolf and Markus Geist, 1998, Exhaust emissions reduction technology for Sulzer marine diesel engines: general aspects, Wartsila NSD Switzerland Ltd.