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CONSOLIDATION PARAMETER AND INFLUENCE ANALYSIS ON SETTLEMENT IN THE STACKED AGRICULTURAL WASTE LANDFILL

机译:堆积农业废弃物垃圾填埋场沉降的合并参数及影响分析

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In this study on consolidation of domestic stacked waste landfi ll, the lower landfi ll was 18 years old and the upper landfi ll was new. The experimental and analytical research was performed to examine the settlement behavior of the waste landfi ll. Settlement behavior was monitored for about 20 years and the collected data were analysed. In addition, investigation of the leachate water quality and landfi ll gas were performed. Also, the applicability of the one dimensional Elasto-Viscous (E-V) model was verifi ed through the comparison with the fi eld monitoring data. The infl uence of consolidation parameters on the landfi ll settlement was studied by using numerical analysis. The study revealed that mechanical compression settlement of about 72% was generated in 1-2 years after closing the landfi ll and the settlement due to chemical decomposition is still progressing even after 18 years of closing the landfi ll. From the result of numerical analysis by E-V model, settlement of lower part of upper landfi ll was predicted 2.72m during 20 years and analysis result are corresponding well with the monitored data. According to the results of numerical analysis, the analytical ly derived settlement behavior through the fi nite difference method of E-V model was similar to the observed settlement behavior of the waste landfi ll. Therefore, it is judged that the longterm settlement characteristic can be predicted by using the numerical analysis on the similar waste landfi ll.
机译:在这项研究堆积废物Landfi LL的研究中,较低的Landfi LL为18岁,上层Landfi LL是新的。进行了实验和分析研究,以检查废旧土地的沉降行为。监测结算行为约20年,并分析收集的数据。此外,还进行了对渗滤液水质和LandFi LL气体的调查。此外,通过与FIELD监测数据的比较,一维弹性粘性(E-V)模型的适用性是verifi编辑。通过使用数值分析研究了LandFi LL沉降上的整合参数的膨胀。该研究表明,在关闭Landfi L1后1-2岁生成约72%的机械压缩沉降,即使化学分解引起的沉降仍然在关闭Landfi L1的18年后仍在进行。通过E-V型号的数值分析结果,在20年内预测了上LandFi LL的下部的结算,并且分析结果与受监控数据相应良好。根据数值分析的结果,通过E-V型号的差异方法的分析LY衍生沉降行为类似于废旧土地LL的观察到的沉降行为。因此,判断,可以通过使用类似废物Landfi L1上的数值分析来预测Longterm结算特性。

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