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Study On Municipal Solid Waste Generation Forecast And Volume Reduction In MBT Technology

Posted on:2020-12-28Degree:MasterType:Thesis
Country:ChinaCandidate:Y X ZhangFull Text:PDF
GTID:2381330572968971Subject:Engineering
Abstract/Summary:PDF Full Text Request
The generation of MSW is growing rapidly with the acceleration of urbanization.Some cities are surrounded by waste.The process of MSW reduction is imminent.In this paper,a multivariate combination model for MSW generation forecast was proposed by the combination of ridge regression model and GM?1,N?model,and it was applied to Hangzhou for instance.Relying on the EMBT pilot project?Hangzhou Environmental Group Co.,Ltd.and Jiangsu Well-E Environmental Technology Co.,Ltd.,?introduced from Germany,we explored the mechanical biological treatment?MBT?and its volume reduction effect through master degree practice and geotechnical tests.The research indicates that:1)Based on ridge regression model and GM?1,N?,the multivariate combination model has a higher accuracy and variable interpretation ratio than single models.The distribution of weight coefficients for single models reduces the monotonous development trend,and the combination process makes the growth curve smoother at the nodes between fitting part and prediction part.2)Population,per capita consumption expenditure of the city,and the number of graduates of undergraduates are relative to MSW generation in Hangzhou,while the real estate economy is not.By 2021,Hangzhou will produce 5115.5 thousand tons of MSW per year.Comparing to the MSW generation in 2016,the increment will reach 35%,therefore the MSW disposal industry in Hangzhou will face a big challenge;reliable waste disposal methods will be required.3)The MBT waste?from Hangzhou?is a mixed material of high plastic,glass and lime soil?wet quality accounts for 57%of total mass?,low water content?22.66%?and low natural density?0.227 g/cm3?.The full-size MBT waste has a non-uniformity coefficient of 21.4 and a curvature coefficient of 1.93.The particle size distribution is uneven and the gradation is good.4)The MBT waste has good compressibility,and the compression index?Cc?is 0.91,0.98,and 0.86,respectively.Different range of particle size has less effect on the maximum compressive strain of MBT waste,but changes the area for the magnitude increment of compression strain per stage.The void ratio of MBT waste for three particle sizes is linear with the logarithm of vertical pressure.5)The strength of MBT waste?Hangzhou?is related to the particle size and vertical load.The strength of MBT waste increases with the increase of vertical load when the particle size is the same.But when under the same pressure,the strength of MBT waste increases with the increase of particle size.The strength characteristics of MBT waste is in accordance with Coulomb's law,and the shear strength parameters c=14.43-19.11 kPa,?=20.7-39.8°.6)The permeability coefficient of MBT waste is related to the vertical load,and its logarithm is linear with vertical load.In the pressure range between 50 to 600 kPa,the magnitude of the permeability coefficient for MBT waste varies between 10-2 to 10-7 cm/s,and the permeability coefficient is much larger than that of the French MBT waste.7)The MBT process has a high-volume reduction?56%?and weight reduction?75%?effect on MSW.Under the compression pressure of 800 kPa,the volume of untreated domestic waste can be reduced by 90.8%,which is remarkable.The results can provide a basis for the MSW generation forecast in Hangzhou and the estimation of MBT landfill capacity.
Keywords/Search Tags:MSW, waste generation forecast, multivariate hybrid model, mechanical biological treatment (MBT), compressive modulus, shear strength, permeability coefficient, volume reduction
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