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Accoring to the statistical data, for the typical year with the guarantee rate of 75%, the regional water supply and water demand is shown in Table 1.
The data indicate that the total demand water quantity is 18,310,000 m3, and the supply quantity from small scaled water conservancy facilities is 2,100,000 m3, so the total average annual gross water quantity supplied by upstream reservoirs (Xiguo Reservoir and Xiaobeihai Reservoir) can be predicted to be 16,210,000 m3.
The ecological and environmental water requirements under different reduction rates of COD and NH3 are list in Table 3.
Table 2 Reduction of COD and NH3 Quantity [t/a] Item Current situation Target Reduction Reduction rate COD 55.86 19.85 36.01 79.3% NH3 18.80 1.02 17.78 94.5% Table 3 Ecological and Environmental Water Requirements Reduction rate COD NH3 Total ecological and environmental water requirement [10,000m³] Reduction [t/a] Water demand after reduction [10,000m³] Reduction [t/a] Water demand after reduction [10,000m³] 94.5% 52.79 50 17.78 204 204 90% 50.27 85 16.92 350 350 85% 47.48 121 15.98 510 510 80% 44.67 154 15.04 623 623 75% 41.89 183 14.10 751 751 70% 39.10 200 13.16 850 850 65% 36.31 220 12.22 945 945 60% 33.51 247 11.28 1040 1040 Water supply analysis.
According to the runoff data of dam site, the mean annual runoffs are 7,883,000 m3, 3,690,000 m3 and 8,855,000 m3 at the dam sites of the Gaotan River, Xiguo Reservoir and Xiaobeihai Reservoir respectively, the mean annual average flow rates are 0.250 m3/s, 0.117 m3/s and 0.281 m3/s respectively, and the mean annual runoff depth is 463.6mm.

Dimensions of the deformed billets after drawing along the entire length was b´h´l=27.2´61.8´267.7 mm, forging reduction was equal to 1.10.
Forging reduction after two was equal to 1.21.
Forging reduction after two was equal to 1.26.
Forging reduction after two was equal to 1.20.
Results and Discussion Data, obtained during the study of steel 40 microstructure shown in Table 1.

Oxidation reduction potential plays an extremely important role in the SWIS[3].
As the comprehensive index system oxidation-reduction environment, influence microenvironment, inside the system is also one of the main factors influencing the treatment effect.
In order to improve the oxidation reduction environment in SWIS, researches domestic and overseas scholars made focuse on the following aspects: Flooding and Drying Alternate.
Matrix has good permeability, oxygen content is high, oxidation reaction is preferred; If permeability is poor, it gives priority to reduction reaction.
According to the data indicates that, root of the reed at the depth of about 60cm in general , while Yellow flag and Canna is only about 33cm.To the plant roots, different scholars have different calculation methods, so the result is also a great difference.

It is not on obtaining the data and reporting the practical status and the test data result, but more importantly is on finding out the shortcoming of the students’ physique and conduct constant and effective improvement [3].
There is variation of data points in the input space and the difficulty involved in mapping such a space.
The variable reduction or dimensionality reduction comes to help under such conditions.
Empirical analysis Physique health conditions empirical analysis based on weight test data Sampling 10357 students’ physical health test data standardization conditions is as Table 1 shows.
Table 1.Partial sample data standardization result table Sample No.

The study surveyed the attitudes of motorcyclists to determine the proportion of motorcyclists willing to use an electric motorcycle and also estimated the reduction of CO2 emission from the transport sector in Khon Kaen city, Thailand.
To evaluate CO2 emission reduction, the future condition with introduced electric motorcycles was compared to the future do-nothing condition in the same future year.
This study also evaluated the reduction in CO2 emission resulting from the motorcyclists’ shift to using electric motorcycles.
A reduction of CO2 emission in the future condition (Scenario of Electric Motorcycle Introduction), in year 2017 when the electric motorcycle is widely introduced and used, is evaluated by comparing with the do-nothing condition in the same future year (Baseline Scenario).
Acknowledgement The authors would like to express appreciation to the Sustainable Infrastructure Research and Development Center (SIRDC) at Khon Kaen University for supporting the data of this research.

There are various strategies to improve Breimans’ RF: (1) through data [7] (2) using clustering [8] (3) with Boosting [9] (4) weighted voting and dynamic data reduction [10,11] Decision Tree (DT).
Data Preparation for ML.
The percentage distributions of atoms in each of these data sets are the same as the percentage distributions of atoms in the original data. 75% of data is used as training data and 25% of data are used as test data.
Dalkilic: “A New Set of Random Forests with Varying Dynamic Data Reduction and Voting Techniques”.
Dalkilic: “Red-rf: Reduced random forest for big data using priority voting & dynamic data reduction”.

In addition, providing better security of data through layer-to-layer protection strategy as well as ensuring the original benefits of cloud storage, such as data flexibility, cost reduction and highly automated, can be achieved by DDFM.
This layer implements a variety of features, such as data encryption, data backup, data compression and distributed file-based system.
Data Fragment Algorithm based on Granular Computing The data fragment algorithm based on granular computing can give the data localization a suitable priority.
For every single piece of data, it’s meaningless even if the data piece has been picked up by attackers during the data transfer or scanned by Trojan.
When a tenant uploads a data, he first sends the data to web server (step1).

The radiation dose was set by the exposure time, using the data on the activity of the installation at the time of the research.
Experimental Data Processing.
Note that in the graphical representation of the obtained experimental data, we do not provide confidence intervals, but only average values ​​of the measured values.
Typical watt-ampere characteristic of the investigated LEDs in lg-lg coordinates: LC - low current region; HC is the area of high currents; symbols - experimental data; lines calculated by the formula (1), respectively; vertical arrow - boundary current between selected areas These results allow us to distinguish two characteristic regions of operating currents (the region of low currents — LC and the region of high currents — HC, Fig.3).
In more detail, this stage of power reduction is shown in Fig. 8.

It is shown that the inner tensile stress of new concrete decreases with increasing of interface roughness, and increase restrained thickness of the new concrete, but it is not significant effect of interface roughness on the shrinkage at bonding surface; the shrinkage strain of section reduces with reduction of the distance of section to bonding surface and reaches minimum on bonding surface, which reflecte significant nonuniformity and increases gradually with age.
Strain data were collected by data acquisition system, sampling frequency was 1/h.
Conclusions can be draw from Fig.2 that the shrinkage strain at each testing section decreasing with reduction of the distance of testing section to bonding interface and reaching minimum at bonding interface, which is the distribution of internal strain in new concrete slab restrained by old concrete slab.
The shrinkage strain of testing section reduces with reduction of the distance of testing section to bonding interface and reaches minimum at bonding interface, that is, the shrinkage strain reflects prominent inhomogeneity and increases gradually with concrete age, which was one of the main factors leading to increasing of internal tensile stress of the concrete.

Modeling 1.1 Data preparation and selection of input factors In this paper, 50 sets of data, collected from a textile mill in Shandong province, was used for prediction, which includes 5 combed and carded yarns of 60S, 40S, 32S, 20S and 16S.
To eliminate the effects of different original variables dimension, the 60 sets of data need to be standardized.
（1） 1.2 Principal components analysis Principal component analysis is an effective dimension reduction technology for data, by which the high correlated variables could be compressed and converted to several new compositive substitutes for the original.
New variables, which were independent from each other, could not only contain the most information of the original data and reduce the number of the input factor, but also simplified the complexity of the subsequent prediction model.
The relative predicted value error (RE) and root mean squared error (RMSE) of 10 sets of validation data is shown in Table-6, and the target fitting chart and epochs of 4 prediction models is given in Figure-3.