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The Forecasting Model Based on Data Mining Technology The data mining also called the knowledge discovered in the database is to discover the effective, novel, having the latent value knowledge from the mass data.
T0 (m)), then each historical water pollution density data all all regarded as a vector.
Forecasted Result Analysis The following data come from Shayin River.
The data include sides. one is the water level,water flow,density of COD of upstream of the river.
Rough Set Spatial Data Modeling for Data Mining.

Energy saving and emission reduction are becoming strategic issues in China.
Current Research about Energy Saving and Emission Reduction Performance Evaluation Foreign scholars study energy saving and emission reduction early.
Performance Evaluation Index of Energy Saving and Emission Reduction Complete and effective evaluation index of energy saving and emission reduction should be established.
Reduction of pollutant emission can effectively promote energy saving and emission reduction.
We set as all the matters to be studied. is characterized by a set of data.

The growth rate of GDP has no direct impact on the realization of emission reduction targets.The higher reduction benchmarkdoes not restrict the successof emission reduction targets.
Table 1 Decoupling status identification table DE ΔCO2 ΔGDP Decoupling Status DE<0 <0 >0 Strong decoupling >0 <0 Strong negative decoupling 0≤DE<0.8 ≥0 >0 Weak decoupling ≤0 <0 Weak negative decoupling 0.8≤DE<1.2 >0 >0 Expansive coupling <0 <0 Recessive coupling 1.2≤DE >0 >0 Expansive negative decoupling <0 <0 Recessive decoupling Data Sources and Processing GDP data is from China Statistical Yearbook.
In order to guarantee the comparability of GDP, as well as analysis of carbon emission reduction targets for 2020, the GDP of every province is calculated based on 2005 constant price.The energy consumption data is from China Energy Statistical Yearbook.
The reduction targets could be achieved in regions with lower reduction benchmark, by relying on significant technic breakthroughs.
Higher reduction benchmark will not restrict the reduction targets to be achieved.

Implementation of ERP system involves changes in management idea, business process reengineering, data integration, computer hardware and software, software vendors, consulting firms, etc., and are considered as a typical of complex system project.
Rough set has been already applied in many areas such as data mining, artificial intelligence, control and decision-making, pattern recognition and fault diagnosis, medical diagnosis; and also achieved encouraging results.
For attribute, (3) is used to measure the importance of attribute to the equivalence relation and . is positively related with the attribute ; Attribute Reduction Algorithm Decision-making table is developed in accordance with the data from the company implemented ERP.
When rough set is used for attribute reduction and rule extraction, only discretized data can be dealt with.
Pawlak，Rough set theory and its applications to data analysis[J].

Feature Extraction from Engine's Data Based on Rough Sets Theory WANG Feng, JIA Lixin Beijing Military Representative Bureau, Beijing, China, 100042 Email:shangmachangcun@126.com Key words: rough set; engine; feature extraction; reduction Abstract.
This paper introduced rough set theory for analyzing the reduction process data that under load in situ of different engine hours from a special vehicle, which aims to extract the characteristic parameters from the complex data that can characterize the engine technical condition.
As the data reduction of rough set method is based on the basis of discrete data tables, and the practical application of most of the data is in a continuous value.
Therefore, the data in the original decision-making system must be processed discretely.
Data in the table for decision-making can be identified using the matrix method to write programs for simple properties, and then get, for the nuclear properties, for the attribute reduction result.

At present, domestic and international usually use drag reduction rate as indicator. 1.1 Drag Reduction Rate Calculate the drag reduction rate by the friction pressure drop after DRA added to the liquid in the indoor test section of loop.
Then evaluate the effect of DRA by the drag reduction rate.
The reduction of pipe flow resistance, in fact, is the reduction of friction coefficient.
Then, according to equation (1-3), we can calculate flowrate-enhancing rate as equation (1-5) under the conditions of friction pressure drop after DRA added is and flow rate of basic data test condition is
Including a fluid pressure buffer tank, pump, valves, fixed-length test pipeline loop system． 1-Pressure level impulse 2-Return tank 3-Dilution mixing tank 4-Nitrogen tank 5-gear pump 6-bottom valve of buffer tank 7-vent pipe 8-flowmeter D,C,B-pressure transducer Figure 2-1 Drag reduction rate loop test device Experimental Results and Analysis 3.1 The drag reduction rate and flow increase rate at difference concentration of DRA Table 3-1 DRA evaluation Experimental data concentration（ppM） 10 15 20 25 30 Drag reduction rate（%） First 45.02573 50.65915 59.35945 67.77344 66.83987 Second 43.48938 51.58114 56.90592 67.77344 66.42953 Average 44.25756 51.12015 58.13268 67.77344 66.6347 flow increase rate（%） First 39.46696 48.10752 64.97512 87.6865 84.72997 Second 37.3459 49.66902 59.68489 87.6865 83.47109 Average 38.40643 48.88827 62.33 87.6865 84.10053 Figure 3-1 Drag reduction rate of domestic 3.2 The Relationship of concentration and the drag reduction rate of DRA Figure

From these data the fraction reacted after 15, 30, 45, 60 minutes were calculated.
Data of ‘Factor’ value for Chromite Pellets Pellet (Chromite) Factor CR/99/1 0.2017 CR/89/10C/1 0.2648 CR/89/10CC/1 0.2778 CG/99/1 0.1683 CG/89/10C/1 0.2348 CG/89/10CC/1 0.2478 CB/99/1 0.2097 CB/89/10C/1 0.2721 CB/89/10CC/1 0.2851 The wt. loss during reduction of composite chromite pellet (Chromite + Coal/Charcoal) is due to the loss of O2 associated with Cr2O3 and FeO and also because of the loss of the carbon in it.
Hence, the product gas could be safely assumed to be CO and the fraction reacted be calculated as follows: = f* x 16/28 The data for fraction reacted (f) against time (t) are tabulated in Table III.
The data fit on linear plot passing through the origin for first order reaction.
Ray Reduction of I.

And then, the actual reduction ratios were optimized incorporation to the relative reduction ratios of the sub-regions and the total emission reduction target of the province by means of GA, a new optimizing method [9].
The basic idea of TOPSIS-GA are 1) to obtain the relative reduction ratios of the sub-regions by TOPSIS, 2) to optimize the actual reduction ratios of the sub-regions by GA, and 3) to calculate the reduction responsibilities of the sub-regions based on the actual reduction ratios and base-year emissions.
Specific steps are as follows: 1) Construct data matrix , , (1) where, m is the number of sub-regions, n is the number of indexes, is the original value, is the normalized value, ,, is the weighted value, , is the weight of index j, determined by entropy-weighting method as Eq. 2
The data used in this article was collected by ‘Shandong Statistic Year Book 2011’ (Table 2).
The reduction ratios of Dezhou, Liaocheng, Binzhou, Rizhao and Zaozhuang are higher than the province’s average reduction ratio (12.9%).

On account of severe water pollution condition, this paper combines structure emissions reduction, engineering emissions reduction and management emissions reduction (namely SEM emissions reduction), builds an optimization model for total amount control of regional water pollution, and puts the above model into practice to validate its validity and reliability.
Constraint of Emissions Reduction Goals for Regional Water Pollutants.
Constraints of Industrial Emissions Reduction for Regional Water Pollutants.
The data about water pollutants increments in different industry are shown in Table 1.
Table 1 Increasing amount of each water pollutant of different industries in 2015 (unit: 104 tons) Pollutants category Industry categories To 2015 Industry Urban Agriculture COD 9.27 14.21 11.13 34.6 NH3-N 1.43 1.55 0.28 3.26 Combining the 12th Five-year environmental protection plan for total amount control of regional water pollutants in the case province, as Table 2, using the main control pollution data in 2010 as the base data of environmental emissions, the reduction of COD and NH3-N should be achieved 44.3 (104 tons) and 11.05 (104 tons) by calculation.

After searching and screening, get in line with the requirements of the research on data integration [4-12], which contains the CH4 emission data of 51, distributed in 7 test points.
The rice planting area of Nanjing, Zhenjiang, Changzhou, Wuxi, Suzhou rice planting area in yearbook data were searched.
In this study, the rice average CH4 emissions of the foundation data were calculated for the study area CH4 fluxes by using SPSS software.
Results and Analysis CH4 emission reduction potential.
Although the potential reduction per unit area was the smallest in suzhou, but the total emissions reduction potential was 15.51%, the total emissions reduction potential was the smallest instead of wuxi, due to wuxi rice planting area was smallest.