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首页> 外文期刊>Waste management & research >Statistical modelling and assessment of landfill leachate emission from fresh municipal solid waste: A laboratory-scale anaerobic landfill simulation reactor study
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Statistical modelling and assessment of landfill leachate emission from fresh municipal solid waste: A laboratory-scale anaerobic landfill simulation reactor study

机译：新鲜城市固体废物垃圾渗滤液排放的统计建模与评估：实验室规模厌氧填埋仿真反应器研究

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Quantification, measurement of quality, post-treatment, and leachate control has been a significant problem due to the dumping of waste in an unscientific manner across the globe, and especially in developing countries like India. In this context, the objective of this study was to investigate the degradation of fresh mixed municipal solid waste (MSW) in an anaerobic landfill reactor operated with rainfall addition in laboratory conditions. Experiments were carried out in a landfill reactor of 1 m length × 1 m width × 1.1 m height. The reactor was simulated with 50 years weighted average actual rainfall rate of India. It contained the waste composition of 73% wet waste (food and kitchen) and 27% dry waste (paper, plastic, wood, textiles, and others). The leachate parameters were continually monitored for 39 weeks. In the fresh MSW landfill reactor it was evident that concentrations of leachate parameters were high initially, and there was a significant decrease in BOD_5 (7041-39310 mg L~(-1)), COD (15692-71630mg L~(-1)) and TS (9077-33200mg L~(-1)) in leachate. Therefore, rainfall had a direct influence on leachate quality. The developed first-order decay models were used for BOD_5, COD, and total solids with adjusted R~2 of 0.83, 0.92, and 0.96, respectively. Therefore, this model can be applied for leachate strength estimation at any given time from the period of deposition of waste under similar rainfall and waste compositions, and is largely applicable in India and tropical areas. This study is expected to be a good simulation for cities with the waste composition of high wet waste (＞70%) as the estimations of important design parameters such as BOD_5, COD, VFA, and NH_4~+-N were studied in this research. As the importance of moisture (precipitation) has been established in this study, some moisture additions can be designed in areas with low rainfall, such as arid zones.
机译：量化，质量测量，治疗后和渗滤液对照是由于浪费以全球无情的方式倾销，特别是在印度等发展中国家。在这种情况下，本研究的目的是研究在实验室条件下的降雨加入的厌氧垃圾填埋反应器中新鲜混合城市固体废物（MSW）的降解。实验在填埋反应器中进行1米长×1米宽×1.1M高度。用50年的加权平均降雨率模拟了反应器。它含有73％湿废物（食品和厨房）和27％干废物（纸，塑料，木材，纺织品等）的废物组成。渗滤液参数不断监测39周。在新鲜的MSW垃圾填埋反应器中，显而易见的是，渗滤液参数的浓度最初高，BOD_5（7041-39310mg L〜（-1）），COD（15692-71630mg L〜（-1）均显着降低）和Ts（9077-33200mg l〜（-1））在渗滤液中。因此，降雨对渗滤液质量有直接影响。开发的一阶衰减模型用于SOD_5，COD和总固体，分别调整R〜2，0.83,0.92和0.96。因此，可以在类似的降雨和废物组合物下的废物沉积期间在任何给定时间施加该模型，并且在很大程度上适用于印度和热带地区。该研究预计为城市的良好模拟，具有高湿废物（> 70％）的废物组成，因为在本研究中研究了重要设计参数，如BoD_5，COD，VFA和NH_4〜+ -N的重要设计参数。在本研究中已经建立了水分（降水）的重要性，可以在降雨量低的区域设计一些水分添加，例如干旱区域。

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