利用遥感测量对堆肥厂的逸散甲烷和气味排放进行表征

And Kranert
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引用次数: 0

摘要

生物废物处理设施的气体排放有几个不利影响。2015年1月,德国出台了一项单独收集生物废物的法律。从那时起,就有关于温室气体的讨论,温室气体可能以显著的速度排放,超过了积极的方面。政府间气候变化专门委员会(IPPC)给出的生物处理产生的甲烷和一氧化二氮的默认因子表明,即使是堆肥过程中的逸散排放也不应被忽视。这项研究工作提出了一种创新的方法来量化堆肥厂的逸散甲烷和气味排放。该方法采用遥感测量和基于倒向拉格朗日随机(bLs)的微气象弥散建模相结合的方法。遥感技术的基础是吸收波长对待测物质敏感的红外光。利用顺风测得的甲烷浓度减去顺风测得的本底浓度和已知的风况,及时模拟了一个气体扩散,估算了工厂的气体排放速率。利用甲烷排放作为大气中分散特性的示踪剂,甚至可以估算出堆肥厂被动源的更准确的气味排放率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fugitive Methane and Odour Emission Characterization at a Composting Plant using Remote Sensing Measurements
Gaseous emissions of biowaste treatment facilities have several adverse effects. In Germany, a law to collect biological waste separately was introduced in January 2015. Since then there is a discussion about greenhouse gases which could be emitted in a significant rate and exceed the positive aspects. Default factors for methane and nitrous oxide from biological treatments given by the Intergovernmental Panel on Climate Change (IPPC) suggests that fugitive emissions even from composting processes should not be neglected. The research work presents an innovative method to quantify fugitive methane and odour emissions at a composting plant. The proposed method uses a combination of a remote sensing measurements and the application of a backwards Lagrangian stochastic (bLs) based micrometeorological dispersion modelling. The remote sensing technology is based on the absorption of infrared light with a wavelength sensitive to the substance to be determined. With the downwind measured methane concentration deducted by the upwind measured background concentration and the known wind conditions, a gas dispersion is simulated back in time to estimate the gas emission rate of a plant. Using the methane emissions as a tracer for dispersion characteristics in the atmosphere it is even possible to estimate a more accurate odour emission rate from passive sources at composting plants.
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