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SAMPLING DURATION AND FREQUENCY FOR DETERMINING EMISSION RATES FROM NATURALLY VENTILATED DAIRY BARNS

机译:采样持续时间和频率,用于确定自然通风乳制品谷仓的排放率

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摘要

The ideal practice for determining gas emission rates from concentrated animal feeding operations (CAFOs) is continuous measurement throughout the year to capture diurnal and seasonal variations. However, data that meet this criterion are scarce because this approach is costly and technically challenging. A practical approach with reduced sampling time and frequency without compromising integrity is thus necessary. In this study, we examined five reduced sampling protocols for determining emission rates from naturally ventilated dairy barns: (1) six sampling events, during even months, each event running continuously for 24 h (144 hourly data points); (2) six sampling events, during odd months, each event running continuously for 24 h (144 hourly data points); (3) six sampling events, during even months, each event running continuously for 7 d (1,008 hourly data points); (4) six sampling events, during odd months, each event running continuously for 7 d (1,008 hourly data points); and (5) 12 sampling events, one event every month, each event running continuously for 24 h (288 hourly data points). These five reduced sampling protocols were evaluated against baseline emission rates obtained from a protocol consisting of 12 sampling events, one event every month, each event running continuously for 7 d (2,016 hourly data points). The average baseline emission rates for carbon dioxide (CO2), ammonia (NH3), and hydrogen sulfide (H2S) ranged from 7.0 to 10.8 g d(-1) AU(-1), from 16.9 to 24.3 g d(-1) AU(-1), and from 0.40 to 0.63 g d(-1) AU(-1), respectively. Emission rates for CO2 and NH3 obtained from all five reduced sampling protocols had relative biases of less than 20% from the respective baseline emission rates. This implied that even the most reduced sampling protocol (six sampling events per year, each event running continuously for 24 h) would be adequate for determining CO2 and NH3 emission rates. However, for H2S, relative biases of the reduced sampling protocols ranged from 2% to 45%, with a 50% chance of emission rates falling outside +/- 20% of the baseline emission rates. These protocols, however, are only applicable for quantifying emission rates from barns with steady-state live animal mass.
机译:从浓缩的动物饲养操作中确定气体排放率(CAFOS)的理想做法是全年连续测量,以捕获昼夜和季节变化。但是,符合此标准的数据是稀缺的,因为这种方法昂贵且技术上是具有挑战性的。因此,需要一种在不影响完整性的情况下降低采样时间和频率的实用方法。在这项研究中,我们检查了五种减少的抽样协议,用于确定自然通风的乳制品谷仓的排放率:(1)六个采样事件,甚至几个月,每次活动连续24小时运行(144小时数据点); (2)六个采样事件,奇数月份,每项事件连续运行24小时(144小时数据点); (3)六个采样事件,甚至几个月,每次活动连续运行7天(1,008小时数据点); (4)六个采样事件,奇数月份,每次活动连续运行7天(1,008小时数据点); (5)12个采样事件,每月一个活动,每项事件连续运行24小时(288小时数据点)。评估这五种减少的采样协议针对由由12个采样事件组成的协议获得的基线排放率,每月一个事件,每项事件连续运行7天(2,016小时数据点)。二氧化碳(CO2),氨(NH 3)和硫化氢(H 2 S)的平均基线排放率范围为7.0至10.8 gd(-1)Au(-1),从16.9-24.3 gd(-1)au( -1),分别为0.40至0.63 gd(-1)Au(-1)。从所有五种减少的抽样方案中获得的CO2和NH 3的发射率相对偏差低于相应的基线排放率的相对偏差。这意味着即使是最低的采样协议(每年六次采样事件,每年连续运行24小时)将足以确定CO2和NH3排放率。然而,对于H2S而言,减少的采样方案的相对偏差范围为2%至45%,排放率为50%的机会落下的基线排放率的+/- 20%。然而,这些方案仅适用于量化具有稳态活畜料的谷仓的排放率。

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