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New Method for Estimating Greenhouse Gas Emissions from Livestock Buildings Using Open-Path FTIR Spectroscopy

机译:利用开放路径FTIR光谱法估算畜牧建筑温室气体排放的新方法

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It is widely known that methane, together with carbon dioxide, is one of the most effective greenhouse gases contributing to climate global change. According to EMEP/CORINAIR Emission Inventory Guidebook~1, around 25% of global CH_4 emissions originate from animal husbandry, especially from enteric fermentation. However, uncertainties in the CH_4 emission factors provided by EMEP/CORINAIR are around 30%. For this reason, works addressed to calculate emissions experimentally are so important to improve the estimations of emissions due to livestock and to calculate emission factors not included in this inventory.FTIR spectroscopy has been frequently used in different methodologies to measure emission rates in many environmental problems. Some of these methods are based on dispersion modelling techniques, wind data, micrometeorological measurements or the release of a tracer gas. In this work, a new method for calculating emission rates from livestock buildings applying Open-Path FTIR spectroscopy is proposed.This method is inspired by the accumulation chamber method used for CO_2 flux measurements in volcanic areas or CH4 flux in wetlands and aquatic ecosystems. The process is the following: livestock is outside the building, which is ventilated in order to reduce concentrations to ambient level. Once the livestock has been put inside, the building is completely closed and the concentrations of gases emitted by livestock begin to increase. The Open-Path system measures the concentration evolution of gases such as CO_2, CH_4, NH_3 and H_2O. The slope of the concentration evolution function, dC/dt, at initial time is directly proportional to the flux of the corresponding gas.This method has been applied in a cow shed in the surroundings of La Laguna, Tenerife Island (Spain). As expected, evolutions of gas concentrations reveal that the livestock building behaves like an accumulation chamber. Preliminary results show that the CH_4 emission factor is lower than the proposed by the Emission Inventory.
机译:众所周知,甲烷与二氧化碳一起是促成全球气候变化的最有效温室气体之一。根据EMEP / CORINAIR排放清单指南〜1,全球CH_4排放量的大约25%来自畜牧业,尤其是肠道发酵。但是,EMEP / CORINAIR提供的CH_4排放因子的不确定性约为30%。因此,实验性计算排放量的工作对于改善牲畜排放量的估算以及计算该清单中未包含的排放因子非常重要。 在许多环境问题中,FTIR光谱已被广泛用于各种方法中以测量排放率。其中一些方法基于色散建模技术,风数据,微气象测量或示踪气体的释放。在这项工作中,提出了一种使用开放式FTIR光谱法计算畜牧建筑排放率的新方法。 该方法的灵感来自用于测量火山区CO_2通量或湿地和水生生态系统中CH4通量的累积室法。过程如下:将牲畜放在建筑物外面,并进行通风以降低浓度到环境水平。将牲畜放进室内后,建筑物将完全关闭,牲畜散发的气体浓度开始增加。开放路径系统测量诸如CO_2,CH_4,NH_3和H_2O等气体的浓度变化。浓度变化函数的斜率dC / dt在初始时间直接与相应气体的通量成正比。 此方法已在西班牙特内里费岛La Laguna周围的牛棚中使用。正如预期的那样,气体浓度的变化表明,牲畜建筑物的行为就像蓄积室。初步结果表明,CH_4排放因子低于排放清单提出的排放因子。

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