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AERMOD 作为高斯扩散模型,用于规划示踪气体扩散试验,以量化垃圾填埋场甲烷排放。

AERMOD as a Gaussian dispersion model for planning tracer gas dispersion tests for landfill methane emission quantification.

机构信息

School of Planning and Environmental Policy, University College Dublin, Belfield, Dublin 4, Ireland.

Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129 Torino, Italy.

出版信息

Waste Manag. 2019 Mar 15;87:924-936. doi: 10.1016/j.wasman.2018.02.007. Epub 2018 Feb 13.

Abstract

The measurement of methane emissions from landfills is important to the understanding of landfills' contribution to greenhouse gas emissions. The Tracer Dispersion Method (TDM) is becoming widely accepted as a technique, which allows landfill emissions to be quantified accurately provided that measurements are taken where the plumes of a released tracer-gas and landfill-gas are well-mixed. However, the distance at which full mixing of the gases occurs is generally unknown prior to any experimental campaign. To overcome this problem the present paper demonstrates that, for any specific TDM application, a simple Gaussian dispersion model (AERMOD) can be run beforehand to help determine the distance from the source at which full mixing conditions occur, and the likely associated measurement errors. An AERMOD model was created to simulate a series of TDM trials carried out at a UK landfill, and was benchmarked against the experimental data obtained. The model was used to investigate the impact of different factors (e.g. tracer cylinder placements, wind directions, atmospheric stability parameters) on TDM results to identify appropriate experimental set ups for different conditions. The contribution of incomplete vertical mixing of tracer and landfill gas on TDM measurement error was explored using the model. It was observed that full mixing conditions at ground level do not imply full mixing over the entire plume height. However, when full mixing conditions were satisfied at ground level, then the error introduced by variations in mixing higher up were always less than 10%.

摘要

测量垃圾填埋场的甲烷排放量对于了解垃圾填埋场对温室气体排放的贡献非常重要。示踪剂扩散法(TDM)作为一种技术越来越被广泛接受,只要在释放示踪气体和垃圾填埋气的羽流充分混合的地方进行测量,就可以准确地量化填埋场的排放量。然而,在任何实验活动之前,气体完全混合的距离通常是未知的。为了克服这个问题,本文演示了,对于任何特定的 TDM 应用,都可以事先运行简单的高斯扩散模型(AERMOD)来帮助确定从源到完全混合条件发生的距离,以及可能相关的测量误差。创建了一个 AERMOD 模型来模拟在英国垃圾填埋场进行的一系列 TDM 试验,并与获得的实验数据进行了基准测试。该模型用于研究不同因素(例如示踪剂钢瓶位置、风向、大气稳定参数)对 TDM 结果的影响,以确定不同条件下的合适实验设置。该模型还探讨了示踪剂和垃圾填埋气不完全垂直混合对 TDM 测量误差的影响。结果表明,在地面水平达到完全混合条件并不意味着在整个羽流高度上达到完全混合。然而,当在地面水平上满足完全混合条件时,那么由于混合高度上的变化而引入的误差始终小于 10%。

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