可生物降解有机质在生活垃圾填埋场下垫土中的迁移:以贝宁Abomey-Calavi为例

M. Djihouessi, S. Onifade, M. Aina, H. Labité, F. P. Codo
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引用次数: 0

摘要

本文介绍了水科学与技术实验室(UAC/贝宁)进行的关于开发地下水污染预测工具的第一部分研究。所做的调查包括在没有主动安全屏障的情况下,估计延迟因子和生物降解对生活垃圾倾倒场下层土壤中渗滤液迁移过程的综合影响。在土柱上进行了不同初始条件下的渗滤液渗透试验,并绘制了电导率、5天生化需氧量(BOD5)和总凯氏氮TKN的穿透曲线。建立了偏移数学模型,并用有限差分法对其进行了数值求解,并用Matlab R2013a实现。因此,通过确定所研究土壤的分散系数(D=0.96 cm2/min),利用电导率数据对模型进行了校准。模拟验证表明,所建立的模型可以很好地预测可生物降解有机污染物(BOD5)的迁移,但对含氮有机物(TKN)的监测没有给出结论性的结果。阻滞因子对可生物降解有机污染物在土壤中迁移的影响是线性的,而有机物质的生物降解速率对迁移的影响呈指数型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Migration of Biodegradable Organic Matter in Underlying Soils of Household Waste Dumpsites: A Case Study in Abomey-Calavi, Benin
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.
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