Application of Total Amount Control Optimization Model on Regional Atmospheric Pollutants Based on the Total Amount Control Evaluation Index System (The Evaluation Indicator Layer)

2012 ◽  
Vol 599 ◽  
pp. 476-479 ◽  
Author(s):  
Jing Ya Wen ◽  
Yan Hu ◽  
Chun Hui ◽  
Zhuang Li ◽  
Yu Li

According to the indicator layer of the total amount control evaluation index system, this paper applied the management policy about the total control of regional atmospheric pollution to set up an optimization model for total amount control of regional atmospheric pollutants and get the minimum total cost of emission reduction. Through the model results, the total cost of reduction in instance case was 124.61 (108 yuan), and the membership of SO2 and NOX predicted through the model were 32.34 and 24.13 (104 tons), respectively. This model could be used as the technique and theory guider for the total amount control of atmospheric pollutants, to achieve the goals of the "12th Five-Year Plan" environmental protection requirement more effectively.

2012 ◽  
Vol 599 ◽  
pp. 472-475
Author(s):  
Jing Ya Wen ◽  
Yan Hu ◽  
Zhao Sun ◽  
Zhuang Li ◽  
Yu Li

Facing serious environmental forms and combining structure, engineering and management emissions reduction (SEM), this paper had drew up a SEM total control evaluation index system, and built an interval optimization model of regional pollution total amount control which minimized the emission reduction costs. Through the application of model case, the interval optimal model had obtained a reasonable scheme. The minimum total costs of emission reduction was [461.51, 531.19] (108 yuan), decreasing -1.75%~11.59% comparing with the recommended scheme (522.03, 108 yuan), while the maximum emissions reduction of COD, NH3-N, SO2 and NOX were [42.58, 48.32], [6.92, 7.80], [30.72, 34.96], and [23.21, 26.78] (104 tons). The interval optimal result provides policymakers an excellent decision, expands the range of macro-decisions and controls countermeasures for pollutant total amount control program.


2013 ◽  
Vol 316-317 ◽  
pp. 493-496
Author(s):  
Jing Ya Wen ◽  
Ze Sen Wang ◽  
Yan Hu ◽  
Zhuang Li ◽  
Yu Li

Aiming at the harsh environmental situation at present, this paper applied the interval fuzzy linear programming method, and combines environmental management policy about the total control of regional atmospheric pollution, to set up an optimization model for total amount control of regional atmospheric pollutants under uncertainty. Through the model results, the total cost of reduction in instance case was [119.98, 125.82] (108yuan), and the membership of SO2and NOXpredicted through the model were [31.00, 32.64] and [23.62, 25.94] (104tons), respectively. This model could get the minimum total cost of emission reduction, and be used as the technique and theory guider for the total amount control of atmospheric pollutants.


2013 ◽  
Vol 756-759 ◽  
pp. 1630-1634
Author(s):  
Zhen Li ◽  
Yan Li

The operation of logistics information system determines the efficiency of the information and value flow in the modern competitive market. The paper tries to set up a logistics information system, which is mainly based on the collection, mining and application of data, and to establish an evaluation system, consisting of evaluation principles and evaluation index system, for the logistics information system.


2012 ◽  
Vol 170-173 ◽  
pp. 3436-3439
Author(s):  
Xiao Hui Hou ◽  
Lei Huang ◽  
Xue Fei Li

The scientific research achievements are evaluated based on the BP neural network method which is developed in this paper. According to the analysis and consult with the well-known experts, set up the evaluation index system of scientific research achievements, and based on it, the BP neural network model which is used to evaluate the scientific research achievements is established. Through an actual example, in order to improve the solution efficiency, use the Matlab software to solve the model and get the evaluation result of the scientific research achievements in the example. The evaluation result has high accuracy and could meet the basic actual needs. The evaluation method which is set up in this paper will benefit to our country's evaluation index system of the scientific research achievements and will promote the development of evaluation methods of the scientific research achievements.


2014 ◽  
Vol 472 ◽  
pp. 904-908 ◽  
Author(s):  
Xing Chun Li ◽  
Jing Ya Wen ◽  
Jiang Long ◽  
Xian Yuan Du ◽  
Yu Li

Aiming at the harsh environmental situation at present, refinery and chemical enterprises in China are mostly of high energy consumption and high pollution enterprises, which have great emission reduction potential of atmospheric pollutants. Based on SO2and NOx produced by refinery and chemical enterprises, the emission reduction potential optimization model is established by using linear programming method, and combined environmental management policy about total amount control of atmospheric pollutants. Through the model results, the maximum pollutant emission reduction of SO2and NOx predicted through the model were 4810.69 and 1574.04 (tons), and the optimum technical schemes have been given, respectively. This model could provide not only the maximum emission reduction of the existing projects and enterprises, but also the decision support of emission reduction for refinery and chemical enterprises during "the 12thFive Year Plan".


2014 ◽  
Vol 556-562 ◽  
pp. 853-856
Author(s):  
Tian Tian Zhang ◽  
Hong Bo Zheng

The threaten degree assessment of oil spill accidents is an important content of the emergency decision. On the basis of reference to the domestic and overseas oil spill accident evaluation, this paper fully considered the sources of oil spill, receptors, as well as the influence factors which all affect the threaten level of oil spill accidents, and a comprehensive and clear hierarchy evaluation index system was set up. Finally,analytic hierarchy process (AHP) was used to assign index weights and quantitatively determine the threat level.


Author(s):  
Jing Peng

Despite the development of intelligent technology, there are many problems in the improvement of teaching ability of professional courses in art design, namely, the impact from multiple factors, the imperfectness of the evaluation index system, and the lack of quantitative analysis. To solve the problems, this paper probes deep into the connotations and influencing factors of the teaching ability of the said courses in the context of intelligent technology. Through theoretical analysis, several strategies were presented to improve the teaching ability of the said courses. To effectively evaluate the ability, the authors set up a robust evaluation index system from multiple angles, and provided a quantitative analysis model. The research results provide a good reference for art design teachers to improve their teaching ability.


2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Hongliang Wu ◽  
Daoxin Peng ◽  
Ling Wang

Effectiveness evaluations are one of the important ways to guide grid investment and to improve investment efficiency. Improving the effectiveness of grid investment evaluations is studied based on the optimization of the investment evaluation index system and the utility evaluation model. The index system is optimized by establishing an evaluation index system of grid investment effectiveness, considering the redundancy between the indices, and constructing an ISM-DEA model. The utility function model was introduced to fully consider the different risk appetites of decision-makers, and a utility evaluation model that takes risk appetite into account was established. An improved weight integration model based on multiobjective optimization was established by considering the minimum deviation and the trend-optimal objective function when setting the index weights. The calculation results show that the feasibility of the index system optimization model and utility evaluation model constructed in this study is verified under the premise of satisfying the assumptions. By adjusting the risk preference coefficient of decision-makers, the dynamic optimization of the grid investment utility evaluation results can be realized.


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