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Introduction Since advantages of economic benefits, and energy saving and emission reduction, the solar hot water system is preferred in a variety of schools, resident cells, hotels, restaurants, hospitals, and bath centers [1,2]. <0}{0><}.In recent years, the medium and high temperature solar heating technology is being widely used in governmental agencies, schools and factories for living hot water supply and industrial energy saving, enabling solar hot water applications to have entered a new age with technical, large-scale, high-quality and high-performance development [3,4]. <0}{0><}0{>From analysis of hot and boiling water consumption in public service units, in summer, a large amount of boiling water for drinking and a small amount of heat water for bathing are required. heat water for bathing its temperature is low, with less calories, and boiling water for drinking its temperature is high，with very more calories; in winter, relatively a small amount of boiling water for drinking
The heat storage tank, circulating line, water supply and return line were respectively installed with various types of signal sensors monitoring of water level, pressure, and flow data.
With respect to environmental temperature, solar radiation intensity and accumulated radiation quantity, the TRM123 temperature radiometer was used to automatically record and store relevant data. <0}{0><}0{>All wind speed values came from records manually read out from the QDF thermal-ball micro wind-gauge
The test data, selecting the daily solar radiation (about 12.5 ~ 13MJ) under essentially the same conditions were analyzed in Figure 5.

The effects of these measures were analyzed through spatial simulation so that the design of preventive engineering measures can be designed reasonably, and prevented effectively from the impact of dam hazard, and the purpose of hazard prevention and reduction is achieved.
The geographical features of the Enna region in southern Italy were analyzed by Francesco Castelli, and the spatial movement and evolution of the soil and rock flow were deduced by combining with historical data [8].
Joseph Mtamba used radarsat-2 and Landsat TM data analysis to discuss the Manning factor characteristics of the valley terrain, and provided new research methods for the evolution of the flood [9].
In order to compare the schemes further, four meshes on the edge of the village were selected to carry out the detailed simulation data analysis.

Undeniable that the STS injection had solved the problem for water-solubility of Tan-IIA and had made a great contribution to the development of intravenous administration of Tan-IIA, but because of the structure of Tan-IIA was changed, resulting in its pharmacological effects in clinical practice having a certain degree of reduction [1, 9].
The data of stability constants, entrapment efficiency of Tan-IIA -LM were displayed in table 3.
Using DAS2.0 pharmacokinetic software, plasma concentration-time data were processed and the pharmacokinetic parameters were calculated by the statistical moment method.
The data were analyzed by SPSS11.5 statistical software .The results in table 4 show that Tan-IIA lipid microspheres in rats in vivo bioavailability degree (AUC), peak concentration (Cmax) were 2.14, 2.22 times than the STS, respectively.

Response surface is a method for statistical analysis of data.
Table 2 Intermittent electrification method Experiment number Experimental condition Specific method IE1 electric field strength 2 V/cm,repair time 120h,moisture content 17 % power ups 40h→Power off 12h→power ups 40h→Power off 12h→power ups 40h IE2 IE3 2 Results and Discussion 2.1 RSM regression model and data analysis A total of 20 experiments were carried out using CCD experimental design method.
Table 3 Expertimental design and results Frequency Variable Cd removal rate y/ (%) Electric field strength x1 / (V·cm-1) Repair time x2 / h Moisture content x3 / % 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 3.68 2.00 3.00 3.00 2.00 1.00 2.00 2.00 3.00 1.00 1.00 2.00 2.00 1.00 0.32 2.00 2.00 2.00 3.00 2.00 102 102 36 36 102 168 9 102 168 36 36 102 102 168 102 213 102 102 168 102 15.00 15.00 10.00 20.00 15.00 10.00 15.00 15.00 10.00 20.00 10.00 23.41 15.00 20.00 15.00 15.00 6.59 15.00 20.00 15.00 78.54 83.02 48.95 56.90 79.56 40.03 23.45 76.48 82.62 36.27 46.74 76.43 84.12 57.89 10.11 72.73 65.24 84.53 83.99 76.65 With electric field strength, remediation time and water content as independent variables, and Cd removal rate (y) after soil remediation as the response value, the experimental data was fitted using Design Expert software based on polynomial regression analysis.
[19] Ehlert K, Mikutta C, Kretzschmar R,Effects of Manganese Oxide on Arsenic Reduction and Leaching from Contaminated Floodplain Soil,Environmental Science & Technology. 50(2016)9251-9261

The wind power, which enjoys the most mature technology and the most common commercial application, plays an important role in optimization of power supply structure and carbon release reduction.
Department of Energy.2009 Renewable energy data book [EB/OL]. http://www.wind-energie.de/en/wind-energy-in-Germany

These defect properties of solids include the electronic structure reflected in optical and spin resonance data, formation energies, and diffusion parameters.
The reduction in surface energy due to inward relaxation will be partly balanced by the increase in elastic energy.
Their disadvantages include truncation problems and their inability to reproduce the harmonic data of the crystal.
From the trapping model analysis of positron annihilation data Kim [85] has found out the vacancy formation energy as 1.28±0.23 eV.
However, the analysis of self diffusion data in FCC metals [120-122] reveals that with rising temperature the contribution of divacancies may also become prominent.

After very heavy cold reduction and strain ageing, this alloy has the distinction of achieving the highest combination of strength and toughness of all materials available currently.
Data Sheet (Grades 204Cu, Biodur 108) [12] W.Schumacher, New Developments in Stainless steel Technology, A.S.M.
,Ohio,1986,107-116 [13] W.G.Renshaw and R.A.Lula, Proc ASTM, vol 56, 1956, 866-889 [14] V.Shankar Rao & L.K,Singhal, Corrosion-The Journal of Science & Engineering, NACE, Aug 2010, Vol.66, No.8,0850041-49 [15] S.Hochstrasser-Kurz, P.Gumpel,Arlt, 6th European Stainless Steel Conference, Helsinki June 2008,Jernkontoret, 81-86 [16] V.Shankar Rao & L.K.Singhal, Stainless Steel World, Vol-21, Jan-Feb 2009, 61-65 [17] A.Condylis, F.Bayon, A.Desestret, Revue de Metallurgie, May 1970, 427-442 [18] M.G.Fontana, Corrosion Engineering, McGraw-Hill,New York, 1986,172 [19] A.Devasenapathi, G.S.Ramakrishna& V.S.Raja, Journal of Materials Science Letters vol 14,1995,1254-55 [20] R.A.Lula, High Manganese High Nitrogen AusteniticSteels ASM Int.1992, 1-12 [21] Nippon Steel Brochure (Grade NAR 200, 201, 202) [22] Kawasaki Steel Brochure (Grade R304Mn, 201, 202) [23] Allegheny Data Sheet (Grades201 HP, 201LN) [24] A.K.Steel Data Sheet (Grade 201) [25] L.K.Singhal, 8th International

Figure 2 analyses the trends of data.
It is obvious from the above data that China's industrial solid waste treatment capacity has obvious difference from production capacity, the produced industrial solid waste every year has the utilization of only 50%, with about half of the solid waste we cannot use.
From a global perspective, different countries have different methods for the disposal of industrial solid waste, which base on the characteristics of each country and focus on harmlessness, reclamation and reduction.
Another advantage is that, because the specific department and staff in the unified management responsible for the overall monitoring phase and the disposal phase, this method enable researchers to collect and analyze more comprehensive scientific data and then support the scientific research of harmless disposal of solid waste.

The cutting forces were measured with a piezoelectric force sensor and recorded into data files from which the force components and the resultant cutting forces were extracted.
The data was analyzed and plotted using numerical software.
All data were collected for a workpiece overhang of 40mm.
Even small changes in the processing conditions can result in quite substantial reduction in vibrations.

Table 1: Crystallisation parameters from DSC experiment Heating rate (ºC/min) Onset (ºC) Peak (ºC) End (ºC) 35 MFI 5 124 119 116 10 120 115 112 20 116 111 107 25 114 110 105 3MFI 5 117 112 109 10 114 109 105 15 112 106 101 20 111 104 98 35/3(90:10) 5 122 117 115 10 119 114 112 15 117 113 109 20 115 111 107 35/3/NF (90:10:1) 5 133 130 127 10 130 127 124 15 128 125 121 20 127 123 120 Table 2: Activation energy Polymer type Activation energy (kJ/mol) 35 MFI 215 3 MFI 286 35/3MFI (90:10) 281 35/3/NF (90:10:1) 345 Table 3: Nucleation activity 35/3MFI (90:10) 35/3/NF (90:10:1) Nucleation activity (e) 0.84 0.31 Table 4: DSC data of melting endotherms of PP, PP blends and nanocomposite filaments Samples Onset(°C) End(°C) Tm(°C) Half width(°C) 35 MFI 157 167 165 5 35/3 (90:10) 150 167 163 5 3 MFI 110 173 156,168 12 35/3/CNF (90:10:1) 135 165 160 6 It was clearly seen that addition of 3MFI PP in 35MFI PP favours the nucleation and the nanocarbon fibres further
The data related to melting endotherms are given in Table 4.
These data show distinctly different mechanism for thermal and thermo-oxidative degradation behaviour of nanocomposite.
At 10% loading, there was further enhancement of induction time to about 115 min. and a reduction in total weight loss to about 4% after 180min.