Ke Han, Hu Jie, Xu Xiao Bing, Wang Wen Fang, Chen Yun Min, Zhan Liang Tong
Yuhangtang Road 866#, MOE Key Laboratory of Soft Soils and Geoenvironmental Engineering, Institute of Geotechnical Engineering, Zhejiang University, Hangzhou 310058, China.
Chaowang Road 18#, Institute of Geotechnical Engineering, Zhejiang University of Technology, Hangzhou 310014, China.
Waste Manag. 2017 Jul;65:63-74. doi: 10.1016/j.wasman.2017.04.015. Epub 2017 Apr 12.
Municipal solid waste (MSW) specimens were created from synthetic fresh MSW degraded in a laboratory scale enhanced degradation reactor. The degree of degradation and saturated hydraulic conductivity k were measured to study the effects of compression and degradation on k of MSW. The degree of degradation was characterized through the ratio of cellulose content to lignin content (i.e., C/L) and the loss ratio of volatile solid (i.e., DOD). k of MSW specimens with different degrees of degradation was measured through triaxial permeameter tests under different confining pressures. It was found that, when the degradation time increased from 0month to 18months, k decreased less than 1 order of magnitude for specimens with the same porosity (i.e., n=0.63 or 0.69). However, for specimens with the same degradation time, the decrease of k could reach 2 orders of magnitude with n decreasing from 0.8 to 0.6. It indicates that compression has much greater influence on the reduction of k than that of degradation. Based on the Kozeny-Carman model and first-order kinetics, a prediction model related to n and C/L (or DOD) of MSW was proposed to analyze the evolution of k with compression and biodegradation. The methods to determine the values of model parameters were also proposed.
城市固体废弃物(MSW)样本由在实验室规模的强化降解反应器中降解的合成新鲜MSW制成。测量了降解程度和饱和导水率k,以研究压缩和降解对MSW的k的影响。通过纤维素含量与木质素含量之比(即C/L)和挥发性固体损失率(即DOD)来表征降解程度。在不同围压下通过三轴渗透仪试验测量了不同降解程度的MSW样本的k。结果发现,当降解时间从0个月增加到18个月时,对于孔隙率相同(即n = 0.63或0.69)的样本,k降低不到1个数量级。然而,对于降解时间相同的样本,随着n从0.8降至0.6,k的降低可达2个数量级。这表明压缩对k降低的影响比降解大得多。基于柯曾尼-卡曼模型和一级动力学,提出了一个与MSW的n和C/L(或DOD)相关的预测模型,以分析k随压缩和生物降解的演变。还提出了确定模型参数值的方法。