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首页> 外文期刊>Journal of Environmental Science and Technology >Effect of Heat Fluxes on Ammonia Emission from Swine Waste Lagoon Based on Neural Network Analyses
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Effect of Heat Fluxes on Ammonia Emission from Swine Waste Lagoon Based on Neural Network Analyses

机译：基于神经网络的热通量对猪粪池氨气排放的影响

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Understanding factors that affect ammonia emissions from swine waste lagoons or any animal waste receptacles is a necessary first step in deploying potential remediation options. In this study, we examined the various meteorological factors (i.e., air temperatures, solar radiation and heat fluxes) that potentially affect ammonia emissions from swine waste lagoon. Ammonia concentrations were monitored using a photoacoustic gas analyzer. The ammonia emissions from the lagoon were monitored continuously for a 24 h cycle, twice a week during a winter month at a height of 50 cm above the lagoon surface. Meteorological data were also monitored simultaneously. Heat fluxes were tabulated and correlated to the averaged ammonia concentrations (range of zero to 8.0 ppmv). Multi-layer Perceptron (MLP) neural network predictive model was built based on the most important meteorological parameters. The results from MLP neural network s analysis show that ammonia emissions from the swine waste lagoon were affected by heat fluxes such as net solar radiation , sensible heat and latent heat of vaporization. Thus it is important to consider environmental conditions (i.e., meteorological parameters such as solar radiation , latent heat and etc.) in formulating management or abatement strategies for reducing ammonia emissions from swine waste lagoons or any other air pollutant emissions from livestock waste receptacles.
机译：了解影响猪粪池或任何动物粪便容器中氨气排放的因素是部署潜在补救方案的必要的第一步。在这项研究中，我们研究了可能影响猪粪池排放氨气的各种气象因素（即气温，太阳辐射和热通量）。使用光声气体分析仪监测氨气浓度。在一个泻湖表面上方50厘米高的冬季月份中，每周两次两次对泻湖中的氨排放进行连续24小时的监测。同时还监测了气象数据。将热通量制成表格并与平均氨浓度（0至8.0 ppmv的范围）相关。基于最重要的气象参数，建立了多层感知器（MLP）神经网络预测模型。 MLP神经网络的分析结果表明，猪粪池的氨气排放受净太阳辐射，显热和汽化潜热等热通量的影响。因此，在制定管理或减排策略以减少猪粪池的氨气排放量或畜禽粪便容器的任何其他空气污染物排放量时，必须考虑环境条件（例如，太阳辐射，潜热等气象参数）。

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