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Monitoring of pile composting process of OFMSW at full scale and evaluation of odour emission impact

机译:大规模监测OFMSW的堆肥过程并评估气味排放影响

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摘要

In this study, the evolution of odour concentration (OU_E/m~3 _(STP) emitted during the pile composting of the organic fraction of municipal solid waste (OFMSW) was monitored by dynamic olfactometry. Physical -chemical variables as well as the respirometric variables were also analysed. The aim of this work was twofold. The first was to determine the relationship between odour and traditional variables to determine if dynamic olfactometry is a feasible and adequate technique for monitoring an aerobic stabilisation process (composting). Second, the composting process odour impact on surrounding areas was simulated by a dispersion model. The results showed that the decrease of odour concentration, total organic carbon and respirometric variables was similar (around 96, 96 y 98% respectively). The highest odour emission (5224 ou_E/m~3) was reached in parallel with the highest microbiological activity (SOUR and OD_(20) values of 25 mgO_2/gVS h and 70 mgO_2/gVS, respectively). The validity of monitoring odour emissions during composting in combination with traditional and respirometric variables was demonstrated by the adequate correlation obtained between the variables. Moreover, the quantification of odour emissions by dynamic olfactometry and the subsequent application of the dispersion model permitted making an initial prediction of the impact of odorous emissions on the population. Finally, the determination of CO_2 and CH_4 emissions allowed the influence of composting process on carbon reservoirs and global warming to be evaluated.
机译:本研究通过动态嗅觉法监测城市固体废物有机物(OFMSW)堆肥过程中气味浓度(OU_E / m〜3 _(STP)的释放。这项工作的目的是双重的,首先是确定气味和传统变量之间的关系,以确定动态嗅觉测定法是否是监测有氧稳定过程(堆肥)的可行且适当的技术。用分散模型模拟了工艺气味对周围环境的影响,结果表明,气味浓度,总有机碳和呼吸测定变量的降低相似(分别为96%,96%和98%),气味排放最高(5224 ou_E /达到最高微生物活性的同时达到m〜3(SOUR和OD_(20)值分别为25 mgO_2 / gVS h和70 mgO_2 / gVS)。通过在变量之间获得足够的相关性,证明了将堆肥过程中的气味排放与传统变量和呼吸测量变量结合起来的有效性。此外,通过动态嗅觉测定法对气味排放进行量化并随后应用分散模型,可以初步预测气味排放对人群的影响。最后,通过确定CO_2和CH_4的排放,可以评估堆肥过程对碳库和全球变暖的影响。

著录项

  • 来源
    《Journal of Environmental Management》 |2015年第15期|531-539|共9页
  • 作者单位

    Department of Inorganic Chemistry and Chemical Engineering, University of Cordoba, Campus Universitario de Rabanales, Edificio Marie Curie (C-3), Ctra. N-Ⅳ, km. 396, 14071 Cordoba, Spain;

    Department of Inorganic Chemistry and Chemical Engineering, University of Cordoba, Campus Universitario de Rabanales, Edificio Marie Curie (C-3), Ctra. N-Ⅳ, km. 396, 14071 Cordoba, Spain;

    Department of Inorganic Chemistry and Chemical Engineering, University of Cordoba, Campus Universitario de Rabanales, Edificio Marie Curie (C-3), Ctra. N-Ⅳ, km. 396, 14071 Cordoba, Spain;

    Department of Inorganic Chemistry and Chemical Engineering, University of Cordoba, Campus Universitario de Rabanales, Edificio Marie Curie (C-3), Ctra. N-Ⅳ, km. 396, 14071 Cordoba, Spain;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Dynamic olfactometry; Odour concentration; Dispersion model; Stability; Odour impact;

    机译:动态嗅觉法气味浓度色散模型稳定性;气味影响;

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