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According the code for investigation of geotechnical engineering (GB50021-2001), some corrosive analytical data of groundwater have been selected and listed in the Table 1.
Analysis for the Causticity of Groundwater The data in Table 1 indicate that the groundwater’s causticity to the concrete can be separated into 3 pieces include acid causticity (pH value), calcareous causticity (corrosive CO2) and leaching causticity (HCO3-).
In humid and rainy weather conditions, the soil ventilation property is bad and anaerobic sulfate reducing bacteria will breed rapidly, then sulfate will reduction to sulfur or sulfide.

Reduction of the problem Assume that the initial condition satisfied the following condition: , define a new function to afford the infinite boundaryof , and introduce the function transform lemma 2.1.
The new functionsatisfies (4) with the additional condition (5) Then the considered question is convert to reconstructfrom the information about,where, andare all known.Notice that theshould be taken for.Introduce the density function representation for: (6) withUsing(4), we get thatmeets (7) also considering the geodesic data,with (8) The (7) is an integral equation of the first kind with respect to the density function.Regularizing scheme should be applied to solve this equation to get the approximate solution.
The Model Function Method The (1)-(2)is essentially converted to (7),which is an integral equation of the first kind.The integral operator is compact,is ill-posed,small perturbations in the observation data may lead to large effects on the considered solutions.

The heat exchanger which has a good property of heat transfer and scaling reduction is the basic guarantee for system operation because the washing BFS water consists of much slag wool and its water composition is complex.
The structure parameters of self-cleaning plate shell heat exchanger material heat transfer area (m2) corrugated form corrugated angle (o) clearance between plates (mm) plate thickness (mm) 317L 100 Chevron Shape 60 6 0.75 Results and Discussion The experimental data of the heating system using the waste heat of washing BFS water are shown in the Table 2.
Testing data of the experimental system using the waste heat of washing BFS water time （t） BFS water inlet temperature （℃） BFS water outlet temperature （℃） heating water inlet temperature （℃） heating water outlet temperature （℃） 20：40 78 70 58 71 21：10 77 69 60 70 21：40 77 71 62 72 22：10 80 73 63 73 23：40 80 68 57 70 00：10 82 70 59 72 The effect of heat exchanger parameters to the heat transfer efficiency is shown in the Fig.2.

Typically an increase in the size of the stylus tip will result in a reduction in the measured roughness parameter due to the tips inability to contact the bottom of sharp valleys on the surface and this may lead to investigation of accuracy analysis(parameter) and finally we can get which probe give more accurate result in Ra [4].
To analyze the effects of individual factors on the surface roughness, the data obtained from the experiment were statistically analyzed with MINITAB software [8].
Finally, for main effect cut of length, longer distance which is 2.50mm gave more accurate results data of the average roughness (Ra).

The experimental data shows that the method effectively reduces the measurement error of one reference signal cycle in the measurement of time interval.
The Realization Principle The measurement device includes two groups of compensation circuit, a counter, two compensation circuit number latch circuit, logic control unit, data processing circuit and a measurement display circuit and other parts.
Fig. 2 Structure diagram of the short time interval measurement equipment The data processor measures the time interval according to the counter value and latch serial of two latches.
(8) Formula (7) reduction formula (8) we can get:
Experiments and Results Analysis In the course of the experiment, the counting circuit, logic control circuit, data processing is achieved by the FPGA chip EP2C5Q204.

Interestingly, the mesh size rubbery hydrogels determined from rheological data was in a good agreement to that from swelling experiments (~ 4 to 9 nm).
The mesh size of PNIPAAm hydrogels from rheology data was calculated using Eq. 2.
The mesh size was also calculated from swelling data using Eq. 3.
Data also shows that the PNIPAAm hydrogels in this case exhibited LCST in the range which is in agreement with findings of others [7].
This can be due to the fact that high content of monomer or crosslinker increased the compactness of the hydrogel network and resulted in a mesh size reduction (c.f.

With the quick development of information science, it becomes much harder to deal with a large scale of data.
§ Shared Storage Unit It stores users’ batch jobs, all kinds of data needed by the jobs, intermediate results, output, etc.
The work is supported by the National Science and Technology Supported Program "National Financial Data Analysis and the Key Technologies and Applications of Information Service Based on Cloud Computing (2012BAH17B03)" and USTC-Lenovo Cloud Computing Laboratory.
“eScience in the Cloud: A MODIS Satellite Data Reprojection and Reduction Pipeline in Windows Azure Platform”.

The article takes 2 TM images as the data source, supported by the Fragstats 3.3 and the ENVI 4.7 softwares, two remote sensing images are classified by the support vector machine method, selects the number of patches (NP), edge density (ED), patches density (PD), landscape shape index (LSI), perimeter area fractal dimension (PAFRAC), interspersion juxtaposition index (IJI), patch cohesion index (COHESION), Shannon's diversity index (SHDI), Shannon's evenness index (SHEI) and contagion index (CONTAG), using the landscape ecological principles and methods, analyzes the dynamic changes of Dangshan landscape patter in 1987-2009, with a view to Dangshan county land resources of reasonable planning and using, management, sustainable utilization, and the landscape pattern optimization configuration, provides the theory foundation and scientific basis.
Data Source and Methods Data Source.In this paper, using Landsat TM (track No. 122-36) two-phase (19870919; 20090408) TM images as the data source, weather conditions were no clouds.
As can be seen from Table 5, between 1987 -2009, the SHDI and SHEI of the overall landscape in Dangshan County have some degree reduction, the landscape heterogeneity also reduced, the degree of landscape control by a few classes landscape elements has enhanced, from the landscape contagion index changes in view, CONTAG increase suggests that the connectivity of the original superiority plaques is enhanced. the superiority plaques area increased, is divided small by the other landscape types.

Examples of loading spectra for coupler forces and track loads are presented, along with data from past investigations showing the severe penalty in terms of fatigue life caused by inadequate surface finish at critical locations of components under fatigue loads.
Data from a major railway indicates that loads up to 2500kN tensile and 3000kN compression are possible during service.  
The ultimate tensile strength of the cast steel components are in the range of 850-1000MPa, so the reduction in fatigue strength due to decarburization is substantial.
The nominal coupler force of 1000kN translates to a stress on the overall section of the yoke in Figure 2 of around 120MPa; under the more unusual loads of 2000kN, this becomes 240MPa, which is at the fatigue limit for decarburized steel at this strength range according to the data in Figure 6.
These data are therefore well aligned with the field experience of draft components.

The historical data of solar irradiation over one year period are collected to derive the annual duration curve of solar energy to derive the probabilistic distribution of PV power generation.
However, on-site PV power generation has various advantages such as the reduction of system power loss, investment deferral of power generation, transmission and distribution systems.
This study uses the data of solar irradiation levels over one year period to derive the distribution model of PV power generation.
Collect the hourly solar irradiation of the study area over one year period Derive the annual irradiation duration curve by sorting the hourly irradiation data Execute load forecasting of distribution substation and derive its daily peak load variation curve Calculate the probabilistic distribution of PV generation within the study area Solve the loss of load expectation (LOLE) within the substation service area LOLE < 0.1 days/yr?
Probability Distribution of PV Power Generation The annual duration curve of solar irradiation is derived by sorting the hourly irradiation data in descending order.