首页> 外文期刊>Biosystems Engineering >Infrared photoacoustic spectroscopy in animal houses: effect of non-compensated interferences on ammonia, nitrous oxide and methane air concentrations.
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Infrared photoacoustic spectroscopy in animal houses: effect of non-compensated interferences on ammonia, nitrous oxide and methane air concentrations.

机译:动物舍中的红外光声光谱:氨,一氧化二氮和甲烷空气浓度的无补偿干扰效应。

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Reduction of ammonia and greenhouse gas emissions is a major goal in countries where the livestock sector has a high social and economic importance. Estimates of emissions per building and per annum usually have uncertainties higher than the reduction targets. Therefore, mitigation strategies and public funding efficiency will benefit from progress and standardisation in measuring and modelling emissions from livestock buildings. Quantification of livestock emissions requires accurate measurements of trace gas concentrations. Infrared photoacoustic spectroscopy has been used for decades because of its selectivity, reduced drift in calibration, the existence of industrial analysers ease of use and the reduced cost per measurement. Its use can be further improved through better knowledge of measurement uncertainty. Although the infrared bands selected by optical filters are narrow, the risk of interference bias exists due to the high number and diversity of gas species. The emitted gases depend on the management of animals, feed, manure, heating and motorised equipment. Non-compensated interferences between gases induce an overestimation of gas concentrations, and a cascade effect induces underestimation. This study demonstrates two examples in broiler and dairy cow buildings, which lead either to overestimation (e.g. 12 instead of 2 mg [NH3] m-3 and 4 instead of 1 mg [N2O] m-3) or underestimation (e.g. 2 instead of 4 mg [CH4] m-3). The detection of interference bias and the reduction of uncertainty in concentration measurements are discussed. These results can be used to provide uncertainty estimates for previously published emission factors that were based on infrared photoacoustic spectroscopy.
机译:在畜牧业具有高度社会和经济重要性的国家,减少氨气和温室气体排放是一个主要目标。通常,每座建筑物每年的排放估算值的不确定性通常高于减排目标。因此,减缓战略和公共资金效率将受益于对牲畜建筑物排放进行测量和建模的进展和标准化。牲畜排放的量化需要精确测量痕量气体的浓度。红外光声光谱技术已经使用了数十年,因为它具有选择性,减少校准漂移,工业分析仪的存在易于使用以及降低了每次测量成本的优点。通过更好地了解测量不确定度,可以进一步改善其使用。尽管由滤光片选择的红外波段很窄,但是由于气体种类数量众多且种类繁多,存在存在干扰偏差的风险。排放的气体取决于动物,饲料,粪便,暖气和机动设备的管理。气体之间的未补偿干扰会导致气体浓度的高估,而级联效应会导致气体浓度的低估。这项研究证明了肉鸡和奶牛建筑中的两个例子,它们导致了高估(例如12代替2 mg [NH 3 ] m -3 和4代替1) mg [N 2 O] m -3 )或低估(例如2代替4 mg [CH 4 ] m -3 )。讨论了干扰偏差的检测和浓度测量不确定度的降低。这些结果可用于为基于红外线光声光谱技术的先前发布的排放因子提供不确定性估计。

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