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Migration of Biodegradable Organic Matter in Underlying Soils of Household Waste Dumpsites: A Case Study in Abomey-Calavi, Benin

机译:可降解有机物在家庭垃圾场下层土壤中的迁移:以贝宁阿波美卡拉维为例

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This paper presented the first part of the studies about the development of a tool for groundwater contamination prediction, conducted by the Laboratory of Sciences and Technology of Water (UAC/Benin). The investigation made consisted in estimating the combined effect of retardation factor and biodegradation on migration processes of leachate, in the underlying soils of household waste dumpsites, without active safety barrier. Leachate infiltration tests for different initial conditions were made on soil columns and the breakthrough curves were traced for electrical conductivity, the 5 day biochemical oxygen demand (BOD5) and total kjeldahl nitrogen TKN. A mathematical migration model was developed and solved numerically by finite difference method and implemented with Matlab R2013a. Thus, the calibration of the model was made with electric conductivity data by determining the dispersion coefficient of the studied soils (D = 0.96 cm2/min). Simulations for model verification showed that the established model can perfectly predict the migration of biodegradable organic pollution (BOD5) but did not give conclusive results for the monitoring of nitrogenous organic matter (TKN). The influence of the retardation factor on the migration of biodegradable organic pollutants in soils was linear, while the biodegradation rate of the organic material on migration showed an exponential pattern.
机译:本文介绍了由水科学与技术实验室(UAC / Benin)进行的有关预测地下水污染的工具的研究的第一部分。这项调查的目的在于估算在没有主动安全屏障的情况下,阻滞因子和生物降解对渗滤液在生活垃圾堆场下层土壤中迁移过程的综合影响。在土壤柱上进行了不同初始条件下的渗滤液渗透测试,并绘制了电导率,5天生化需氧量(BOD 5 )和凯氏总氮TKN的突破曲线。开发了数学迁移模型,并通过有限差分法对其进行了数值求解,并使用Matlab R2013a进行了实现。因此,通过确定研究土壤的分散系数( D = 0.96 cm 2 / min),利用电导率数据对模型进行校准。对模型验证的仿真表明,所建立的模型可以完美预测可生物降解的有机污染物(BOD 5 )的迁移,但对于监测含氮有机物(TKN)并没有给出结论性的结果。阻滞因子对可生物降解的有机污染物在土壤中迁移的影响是线性的,而有机物的生物降解率对迁移的影响呈指数规律。

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