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评估和应用特定场地数据以修订用于估算丹麦垃圾填埋场沼气产生和排放的一级衰变模型。

Evaluation and application of site-specific data to revise the first-order decay model for estimating landfill gas generation and emissions at Danish landfills.

作者信息

Mou Zishen, Scheutz Charlotte, Kjeldsen Peter

机构信息

a Department of Environmental Engineering , Technical University of Denmark , Kongens Lyngby , Denmark.

出版信息

J Air Waste Manag Assoc. 2015 Jun;65(6):686-98. doi: 10.1080/10962247.2015.1008653.

Abstract

UNLABELLED

Methane (CH₄) generated from low-organic waste degradation at four Danish landfills was estimated by three first-order decay (FOD) landfill gas (LFG) generation models (LandGEM, IPCC, and Afvalzorg). Actual waste data from Danish landfills were applied to fit model (IPCC and Afvalzorg) required categories. In general, the single-phase model, LandGEM, significantly overestimated CH₄generation, because it applied too high default values for key parameters to handle low-organic waste scenarios. The key parameters were biochemical CH₄potential (BMP) and CH₄generation rate constant (k-value). In comparison to the IPCC model, the Afvalzorg model was more suitable for estimating CH₄generation at Danish landfills, because it defined more proper waste categories rather than traditional municipal solid waste (MSW) fractions. Moreover, the Afvalzorg model could better show the influence of not only the total disposed waste amount, but also various waste categories. By using laboratory-determined BMPs and k-values for shredder, sludge, mixed bulky waste, and street-cleaning waste, the Afvalzorg model was revised. The revised model estimated smaller cumulative CH₄generation results at the four Danish landfills (from the start of disposal until 2020 and until 2100). Through a CH₄mass balance approach, fugitive CH₄emissions from whole sites and a specific cell for shredder waste were aggregated based on the revised Afvalzorg model outcomes. Aggregated results were in good agreement with field measurements, indicating that the revised Afvalzorg model could provide practical and accurate estimation for Danish LFG emissions. This study is valuable for both researchers and engineers aiming to predict, control, and mitigate fugitive CH₄emissions from landfills receiving low-organic waste.

IMPLICATIONS

Landfill operators use the first-order decay (FOD) models to estimate methane (CH₄) generation. A single-phase model (LandGEM) and a traditional model (IPCC) could result in overestimation when handling a low-organic waste scenario. Site-specific data were important and capable of calibrating key parameter values in FOD models. The comparison study of the revised Afvalzorg model outcomes and field measurements at four Danish landfills provided a guideline for revising the Pollutants Release and Transfer Registers (PRTR) model, as well as indicating noteworthy waste fractions that could emit CH₄at modern landfills.

摘要

未标注

通过三种一级衰减(FOD)垃圾填埋气(LFG)生成模型(LandGEM、IPCC和Afvalzorg)估算了丹麦四个垃圾填埋场低有机废物降解产生的甲烷(CH₄)量。将丹麦垃圾填埋场的实际废物数据应用于模型(IPCC和Afvalzorg)所需的类别。总体而言,单相模型LandGEM显著高估了CH₄的产生量,因为它对关键参数应用了过高的默认值来处理低有机废物情景。关键参数是生化CH₄潜力(BMP)和CH₄产生速率常数(k值)。与IPCC模型相比,Afvalzorg模型更适合估算丹麦垃圾填埋场的CH₄产生量,因为它定义了更合适的废物类别,而不是传统的城市固体废物(MSW)组分。此外,Afvalzorg模型不仅能更好地显示总处置废物量的影响,还能显示各种废物类别的影响。通过使用实验室测定的碎纸机废物、污泥、混合大件废物和街道清扫废物的BMP和k值,对Afvalzorg模型进行了修订。修订后的模型估算出丹麦四个垃圾填埋场(从处置开始到2020年以及到2100年)的CH₄累计产生量结果更小。通过CH₄质量平衡方法,基于修订后的Afvalzorg模型结果汇总了整个场地和碎纸机废物特定单元的逃逸CH₄排放量。汇总结果与现场测量结果高度一致,表明修订后的Afvalzorg模型可为丹麦LFG排放提供实用且准确的估算。这项研究对于旨在预测、控制和减轻接收低有机废物的垃圾填埋场逃逸CH₄排放的研究人员和工程师都具有重要价值。

启示

垃圾填埋场运营商使用一级衰减(FOD)模型来估算甲烷(CH₄)的产生量。在处理低有机废物情景时,单相模型(LandGEM)和传统模型(IPCC)可能会导致高估。特定场地的数据很重要,并且能够校准FOD模型中的关键参数值。对修订后的Afvalzorg模型结果与丹麦四个垃圾填埋场现场测量结果的比较研究为修订污染物排放和转移登记册(PRTR)模型提供了指导,同时也指出了现代垃圾填埋场中可能排放CH₄的值得关注的废物组分。

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