| With the rapid development of China's economy and the expansion of cities,more and more solid wastes are produced.Sanitary landfill is the main treatment method in China at present,and the moisture content of domestic landfills is generally high,which seriously hinders the degradation of solid wastes,the generation of gases and the stability of waste.The leachate is usually treated in the form of recharge,so it is very important to know the water distribution in the landfill.The water content test of the landfill is very difficult.Most of the leachate is sampled by boreholes in the field,and then measured in the laboratory,which makes it very difficult to know the water content of the landfill.However,the resistivity of refuse dump can be measured by high-density resistivity meter,and the water content distribution can be roughly judged.It is impossible to quantitatively analyze the water content.Therefore,based on Archie formula,the quantitative characterization relationship between water content and resistivity of Chenjiachong refuse landfill is constructed in this paper.The specific test contents are as follows:Sampling at the Chenjiachong landfill site,packed in sealed drums and brought back to the laboratory to measure the basic physical indicators,including the percentage of waste components,density,moisture content and so on.According to the physical parameters of waste samples,the physical parameters of manually compounded waste were determined.The contents of waste components were 55%kitchen waste,20%rubber,10%paper scraps,5%bamboo,2%glass,2%spinning fiber,1%metal and5%other.Using the method of controlling variables,different dry densities are designed according to this ratio,which are 0.20g·cm-3,0.25g·cm-3,0.30g·cm-3,0.35g·cm-3 and0.40g·cm-3 respectively;water content is 30%,40%,50%,60%respectively;temperature is 30,40,50,60 degrees;pore fluid is landfill leachate,natural water and deionized water respectively.The resistivity under the influence of different factors is tested,It is concluded that the influence of compaction density and temperature on the resistivity of refuse dump is negatively correlated,while the change of the resistivity of pore solution is positively correlated with the resistivity of refuse dump.The key structural parameters a and m in this paper,which are used to quantitatively characterize the relationship between water content and resistivity,are obtained.Because of the limitation of test time and sample preparation,it is difficult to obtain the resistivity values in many extreme cases.In order to improve the data,BP neural network is used to train and learn most of the original data,and the remaining small part of the original data is evaluated and analyzed.Through the existing models,the resistivity of refuse dump under the influence of extreme factors is predicted.The weight of four independent factors to the resistivity is evaluated.Water content is the dominant factor to the resistivity of garbage dump.Its fitting function is power exponential function.Compared with other factors,its derivative change rate is the largest,and the other three independent factors are relatively small.At the same time,the results are compared with the Archie formula. |
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