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主办单位:煤炭科学研究总院有限公司、中国煤炭学会学术期刊工作委员会
填埋场垃圾恶臭异味气体特征及控制研究进展
  • Title

    Recent advances in identification of odors emitted from landfills andtheir potential reduction and control methods

  • 作者

    崔莹王志杰成兆文王罗春楼紫阳

  • Author

    CUI Ying;WANG Zhijie;CHENG Zhaowen;WANG Luochun;LOU Ziyang

  • 单位

    上海电力大学环境与化学工程学院南华大学资源环境与安全工程学院上海交通大学环境与科学工程学院上海市固体废物处理与资源化工程研究中心

  • Organization
    School of Environmental and Chemical Engineering, Shanghai University of Electric Power
    School of Resource, Environment and Safety Engineering, South China University
    Shanghai Engineering Research Center of Solid Waste Treatment and Resource,School of Environmental Science and Engineering, Shanghai Jiao Tong University
  • 摘要
    作为一个典型的点、线、面多场景集合的释放源,垃圾填埋场的恶臭异味气体具有组分杂、性质多变且难以控制等特征,而基于组分特征的精准处理是实现其有效管控的基础。梳理了填埋场中典型垃圾组分(如餐厨垃圾、污泥、废弃塑料等)在不同状态稳定化过程中异味物质的释放特征,探究了不同垃圾组分之间的相互作用关系以及对复杂的挥发性有机化合物(VOCs)释放的影响。对于填埋场的恶臭异味气体,需要针对其多组分垃圾特征、不同填埋时间、不同环境条件等开展有针对性的异味气体与作用关系研究,揭示填埋场的恶臭气味来源和形成机制。针对恶臭的变动性,可以通过人工神经网络(ANN)与电子鼻等的耦合,利用多层感知器(MLP)中的向前传播公式hl=σ(Wlhl−1+bl)辅助模型处理等方法,提升不同填埋垃圾恶臭在线精确响应能力。基于实时监测和反馈,利用源头组分分类控制、过程化学靶向捕集以及末端生物处理保障等手段,实现垃圾填埋场恶臭异味气体有效控制。
  • Abstract
    Landfills are typical point, line, and area odor pollution sources, characterized by thecomplex components, variable properties, and the difficulty of control. Accurate processing based oncomponent characteristics is crucial for achieving effective control. This paper sorts out the releasecharacteristics of typical waste components (e.g., kitchen waste, sludge, waste plastics, etc.) duringstabilization in different states. The study explores the interaction between different waste componentsand the influences of complex volatile organic compounds (VOCs) release. To understand the sourceEnergy Environmental Protectionand formation mechanism of landfill odor, research is needed on the relationship between odor gas andthe landfill′s multi-component waste characteristics, different landfill time, and varying environmentalconditions. To address the variability of landfill odor, the study utilizes artificial neural networks (ANN)coupled with electronic nose, employing the forward propagation formula h=σ(Wh+b) in multilayerperceptrons (MLP) to enhance the model′s ability to accurately respond to odor changes. Real-timemonitoring and feedback enable effective odor control through source component classification control,process chemical targeting, and end-of-pipe biological treatment.
  • 关键词

    填埋场恶臭异味控制易腐垃圾塑料垃圾在线监测

  • KeyWords

    Landfill;Odor control;Perishable waste;Plastic waste;Online monitoring

  • 基金项目(Foundation)
    “科技兴蒙”上海交通大学行动计划专项资助项目(2021PT0045-02-01);国家自然科学基金委面上资助项目(42077111);内蒙古研究院资助项目(SA1600213)
  • DOI
  • 引用格式
    崔莹,王志杰,成兆文,等.填埋场垃圾恶臭异味气体特征及控制研究进展[J].能源环境保护,2024,38(6):59−67.
  • Citation
    CUI Ying, WANG Zhijie, CHENG Zhaowen, et al. Recent advances in identification of odors emitted fromlandfills and their potential reduction and control methods[J]. Energy Environmental Protection, 2024 ,38(6): 59−67.
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