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首页> 外文期刊>Biosystems Engineering >Effects of diurnal emission patterns and sampling frequency on precision of measurement methods for daily ammonia emissions from animal houses
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Effects of diurnal emission patterns and sampling frequency on precision of measurement methods for daily ammonia emissions from animal houses

机译:日排放模式和采样频率对动物舍每日氨排放量测量方法精度的影响

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摘要

Ammonia concentrations and airflow rates are the main parameters needed to determine ammonia emissions from animal houses. It is possible to classify their measurement methods into two main groups according to the sampling frequency: semi-continuous and daily average measurements. In the first method, ammonia concentrations and airflow rates are monitored during a certain period and instant emission rates are calculated. When using daily average methods, 24-h average ammonia concentrations and airflow rates are used to determine the average daily emission rate. As less information is used in the second method, an error may be expected. The aim of this work was to determine the nature and magnitude of this error. Three databases containing data from semi-continuous ammonia emissions measurements from different animal houses (pigs, poultry and rabbits) in three European countries (Denmark, The Netherlands and Spain) were used to characterise this error. An average systematic deviation between methods of 1.5% was found. The magnitude of this bias was directly related to the daily variation of ammonia concentration and airflow rate. The magnitude of this bias, and also the random component of the error, were modelled. The developed model adequately described variation in bias in the studied dataset (R2 = 0.85) and can be used as a tool to decide which type of measurement methods can be used.
机译:氨气浓度和气流速率是确定动物舍中氨气排放所需的主要参数。可以根据采样频率将其测量方法分为两个主要组:半连续和每日平均测量。在第一种方法中,在一定时期内监测氨气浓度和气流速率,并计算即时排放速率。当使用日平均方法时,使用24小时平均氨浓度和空气流速确定日平均排放率。由于在第二种方法中使用的信息较少,因此可能会出现错误。这项工作的目的是确定此错误的性质和严重程度。三个数据库包含来自三个欧洲国家(丹麦,荷兰和西班牙)不同动物舍(猪,家禽和兔子)的半连续氨气排放量测量数据,用于表征此错误。方法之间的平均系统偏差为1.5%。该偏差的大小与氨浓度和气流速率的每日变化直接相关。对该偏差的大小以及误差的随机分量进行了建模。所开发的模型充分描述了所研究数据集中的偏差变化(R2 = 0.85),可以用作确定可以使用哪种类型的测量方法的工具。

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