A Novel Optimization Model for Location of Waste Transfer Stations

2011 ◽  
Vol 214 ◽  
pp. 578-582 ◽  
Author(s):  
Gao Chang Zhao

Waste transfer stations play an important role in waste disposal. This paper proposed a novel model for optimization location of waste transfer stations in environmental monitoring. With the considering of requirements, total system cost and the effect to the environment, an optimization model is given for the positions of waste transfer stations. An algorithm is proposed to solve the optimization model and the evaluation function can obtain the minimal value. The efficiency and the accuracy of the proposed algorithm are shown in several numerical examples..

2014 ◽  
Vol 955-959 ◽  
pp. 2919-2925
Author(s):  
Qing Wang ◽  
Wen Yu Zhao ◽  
Bang Ding Ma ◽  
Yu Wu ◽  
Kang Huai Liu

Nine wastewater samples of waste transfer stations had been gathered and analysis in Guilin city. The results indicate that all sewage belongs to high concentration organic wastewater originating from the waste transfer stations. The average value of wastewater’s COD is 5759mg/L and the maximum value is nearly 28000 mg/L. Its organic pollutants are mainly related to the residues of animals and plants. The content of lead(Pb), Chromium (Cr) and other toxic heavy metals in the wastewater could be 10 times higher than emissions standards, and especially total phosphorus’(TP) content could reach to more than 20 times of discharge standard. In order to protect the environmental quality in the vicinity of them and normally operating of the urban sewage treatment plants, it is necessary that these wastewater should be treated alone. A proposal is that integrated equipment should be made by using some technologies combined biology with membrane separation. Through disperse treatment by the equipment, urban sewage transfer stations could be reused or discharged on standard.


2011 ◽  
Vol 16 (4) ◽  
pp. 549-557 ◽  
Author(s):  
Wei Li ◽  
Xiaoli Tian

The imprecision and the uncertainty of many systems can be expressed with interval models. This paper presents a method for fault detection in uncertain discrete dynamic systems. First, the discrete dynamic system with uncertain parameters is formulated as an interval optimization model. In this model, we also assume that there are some errors of observation values of the inputs/outputs. Then, M. Hladík's newly proposed algorithm is exploited for this model. Some numerical examples are also included to illustrate the method efficiency.


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