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Fig.2 Hydraulic condition of density current immersing point Guanting Reservoir Xiaolangdi Reservoir Liujiaxia Reservoir Physical Model of Xiaolangdi Flume in YRIHR Flume of Fanjiahua(fine sand) Lots of recorded data and testing results indicate that the location of density current immersing relates to water depth, inflow and sediment concentration, etc.
To plot the density current immersing data in Fig.2 shows those are almost consistent with common law.
The data results show that: influenced by operational mode of reservoir and terrain, the formation of sand bar in Zhenshui estuary has certain inevitabilities.
Field observation data show that: there is little incoming water and sediment in Zhenshui, and basically there is no sediment.
Report on model test of the second operational mode of Xiaolangdi Reservoir for flood control and sedimentation reduction during later sediment retaining period [R].

The data is collected and storage per 10 minutes once, in units of m/s.
That is to say, the predictive time lasts from 30min to 72h, and the collective data period always per 5min or 10min, and they are all statics prediction based on the historical data.
We choose 67 groups data to predict for ultra short term.
To make the comparation easily, under the condition of the same parameters and the same input groups data of the above data, we predict the wind speed of single turbine.
Secondly, enhance the space continuity through referring the meteorology data.

Using activities like Genba investigation, data collection, trials and data analysis, the root causes of the problem were identified.
Examples of primary data are factorial experiments conducted throughout the project.
Internal reports and data automatically collected by a production monitoring system are examples of secondary data.
To deal with the internal validity, statistical analysis of the data has been used.
Minitab program was used to analyze the data resulted from the designed experiments.

Fig.1 The trend of civilization of China Fig.2 Projection and comparison of civilization 0 500 1000 1500 2000 2500 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 104t Fig.3 The trend of economy and population Fig.4 The trend of TEC of Binhai of Binhai New Area New Area from 2000 to 2009(104tSCE ) Method of data analysis and data description Method and indicators The study chooses the indicator of total energy consumption and total carbon emission to reflect the consumption of energy and carbon emission by Binhai New Area, which refers to the sum of all types of energy such as coal, oil, electricity.
Data source The used data for analysis is collected from the statistic yearbook of Binhai New Area of Tianjin[3], the statistic yearbook of Tianjin[4], the report of environmental quality of Tianjin[7]，and the statistic of China’ energy[8].
Before calculation the data has been analyzed and adjusted.
In 2008, the carbon emission decreased sharply for the reduction of the energy consumption(Fig.11).
The development of Binhai New Area will contribute to the reduction of carbon intensity of Tianjin.

The second level is to ascertain the location or cause of the fault by electric data.
There exist a lot of redundant data, so rough set theory is used for data reduction[6].
The DGA data and processed electrical data are shown in the following table.
Rough sets theory is used in reduction process the original DGA data, the input feature vector M={2,1,1,4,4,1,1,1}.
DGA data and electrical data are used to reflect transformer fault cause or location.

The FTIR data show that the main functional groups in the polymeric film structure are C-H (3000 cm-1 to 2900 cm-1), C-O-C and C-O (1200 cm-1 to 900 cm-1) similar to the polyethylene oxide (PEO) structure.
In order to retain the monomer structure within the plasma deposited films and consequently its functionality, many different issues have been addressed in recent literature as for instance: film deposition under low RF mean power level by controlling the power supply on/off ratio [18,19]; decreasing of monomer residence time and consequently the reduction of its interaction with the plasma environment [19]; cooling of substrate with liquid nitrogen [20]; energy reduction of the ions which reach the substratum [19,20].
This result is in the complete agreement with the reduction of absorption of C-O and C-O-C bonds shown in the same figure.
The contact angle of pp-diglyme film and surface energy against film thickness Table 1 shows the main vibration modes of pp-diglyme, biocompatible polyurethane and PEO from analysis of data presented in fig. 5.

The results indicated a significant reduction in material fluidity with increasing fiber content, which was mitigated by the addition of a lubricant additive, stearic acid.
To contribute to the reduction of the environmental impact generated using polymeric matrix materials, it is important to analyze the information about their duration, quality, development time, among others [3].
From the experimental data, the curves that describe the rheological behavior of the compound were obtained.
Tensile results were obtained using TRAPEZIUMX software (SHIMADZU, Tokyo, Japan) with a data recording rate of 5 kHz, a sampling rate of 300 kHz, and a single test mode.
From the curves that describe the rheological behavior of the PE Rec + CANE and PE Rec + PALM compounds, the rheological constants for the experimental data were determined.

The regression R2 values after IDWT were increased effectively when compared with original data without IDWT.
The spectral data of several elements were preprocessed by IDWT, and the results were compared with the original data.
The spectral data and the corresponding fitting curve are used for adjusting the tube voltage.
After using IDWT to process the spectral data, the fitting curve at 5kV is also obtained in Fig. 8.
After using IDWT to process the spectral data, the fitting curve at 45kV is also obtained in Fig. 11.

Deferrization of kaolinic sand by iron oxidizing and iron reducing bacteria Daniel Kupka1,a, Michal Lovás1,b , and Vladimír Šepelák1,c 1 Institute of geotechnics, Slovak Academy of Sciences, Watsonova 45, 043 53 Košice, Slovakia a dankup@saske.sk, blovasm@saske.sk, c v.sepelak@tu-bs.de Keywords: quartz sand, Acidiphilium, iron reduction, iron oxides, siderite, muscovite.
Dissimilatory iron-reducing bacteria couple the oxidation of organic matter to the reduction of soluble or solid Fe 3+ to Fe 2+ [3].
Because members of genus Acidiphilium are able to reduce iron in the presence of oxygen [11], bacterial reduction of ferric iron proceeded in spite of aerobic incubation mode.
Bacteria oxidized organic carbon and co-respired oxygen and ferric iron (data not shown).

After normalizing data,wefigured out ranges of synthetic parameters.
In order to obtain more accurate experimental signals, noise reduction is required.
Weighted Comprehensive Analysis Method Dimensions of the extracted characteristic parameters are not unified, which makes data analysis inconvenient, data processing is needed.
Distinction of duration and amplitude is relatively small, and the data is more dispersed.
Another group of experimental data for Verification: Table 4.