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Particulate Matter from an Egg Production: Emission, Chemistry, and Local Dispersion.

机译:鸡蛋生产中的颗粒物:排放,化学和局部分散。

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摘要

The environmental and possible health effects of air emissions from AFOs are a significant concern not only at the local scale in rural areas, but also at regional and global scales. However, limited scientific data on AFOs' emissions are available for particulate matter (PM) emission, chemistry and local dispersion. The effects of environmental factors and facility management practices on PM concentration and emission are important for developing mitigation technology and implementing regulations; however a knowledge gap remains to identify the key factors. Information of PM by mass only is not sufficient to provide a clear understanding of its environmental and health effects, fate and transport, comprehensive chemical composition analyses of PM are therefore needed.;This study was conducted in response to the lack of consistence AFO PM data in the literature, the lack of sufficient baseline PM emission data for appropriate regulations, and the lack of comprehensive chemical compositions of PM from AFO. Particulate matter, including PM2.5, PM10 and TSP emission rates from two high-rise tunnel-ventilated layer houses at a commercial egg production farm were determined, based on two years of measurements of PM concentrations and house ventilation rates. In addition, the concentrations of PM2.5 and PM10 were simultaneously measured using TEOM monitors at four ambient locations in the vicinity of the farm for over two years. Furthermore, Partisol 2300 PM2.5 speciation samplers were used to take daily PM2.5 samples in the layer house and at the four ambient stations. Comprehensive chemical composition analyses included: mass, major ions (NH4+, Na+, K+, SO42-, Cl-, and NO3-), elements, organic carbon (OC) and element carbon (EC). The Winsorized 95% confidence intervals of PM2.5 emission rates were [0.44, 0.63] mg/d-hen in one house (house 3), and [0.45, 0.64] mg/d-hen in the other house (house 4); the Winsorized 95% confidence intervals of PM10 emission rates were [15.1, 15.7] mg/d-hen in house 3, and [17.7, 18.4] mg/d-hen in the house 4; the Winsorized 95% confidence intervals of TSP emission rates were [32.2, 35.7] mg/d-hen in the house 3, and [39.9, 43.5] mg/d-hen in the house 4. Hen activity, house ventilation, temperature/RH and house NH3 emissions demonstrated significant impacts on PM emissions. For both PM2.5 and PM10 concentrations, the downwind concentrations were higher than upwind concentrations. Although the strength of the linear relationship between ambient PM concentrations and house PM emissions was relatively weak, the relationship was significant at probability level of 0.05. None of the ambient PM concentrations exceeded National Ambient Air Quality Standards for 24-hour PM2.5 and PM 10 standards. Organic carbon accounted for above 50% of the total PM 2.5 mass in both house and ambient stations. NH4+ , SO42-, and NO3- accounted for about 40% of the total PM2.5 mass in ambient locations but only 12% of the total PM2.5 mass in house. The measured PM 2.5 masses agreed with the sums of the masses of the chemical components at all sampling stations except for house station. Based on a thermodynamic simulation, PM2.5 had nonlinear response to NH3, HNO 3, H2SO4 precursor gases. In the vicinity of this AFO, PM2.5 mass concentrations were not sensitive to the change of NH3.;This study provides scientific data for developing and validating PM emission models. The comprehensive chemical composition data, spatial and temporal variations of PM add quantitative information for future studies of health, environmental impact and sustainability of egg production systems.
机译:AFO排放的空气对环境和可能的健康影响不仅在农村地区的地方范围内,而且在区域和全球范围内都是一个重要的问题。但是,关于颗粒物(PM)排放,化学和局部扩散的AFO排放的科学数据有限。环境因素和设施管理实践对PM浓度和排放的影响对于开发缓解技术和实施法规至关重要;但是,仍然存在知识差距,无法确定关键因素。仅以质量为单位的PM信息不足以清楚地了解其对环境和健康的影响,命运和运输,因此需要对PM进行全面的化学成分分析。;该研究是针对缺乏一致性AFO PM数据而进行的在文献中,缺乏足够的基线PM排放数据来制定适当的法规,以及缺乏来自AFO的PM的综合化学成分。基于对PM浓度和房屋通风率的两年测量,确定了来自商业蛋生产场的两个高层隧道通风层房屋的颗粒物,包括PM2.5,PM10和TSP排放量。此外,使用TEOM监测仪在农场附近的四个环境位置同时测量了PM2.5和PM10的浓度两年以上。此外,Partisol 2300 PM2.5形态采样器被用于在蛋鸡舍和四个环境站每天采集PM2.5样品。全面的化学成分分析包括:质量,主要离子(NH4 +,Na +,K +,SO42-,Cl-和NO3-),元素,有机碳(OC)和元素碳(EC)。一间房屋(3号房屋)的PM2.5排放率的Winsorized 95%置信区间为[0.44,0.63] mg / d-母鸡,而另一间房屋(4号房屋)的[0.45,0.64] mg / d-母鸡。 ;在3号房中,PM10排放率的Winsorized 95%置信区间为[15.1,15.7] mg / d-hen,在4号房中为[17.7,18.4] mg / d-hen; TSP排放率的Winsorized 95%置信区间在第3家鸡舍中为[32.2,35.7] mg / d-母鸡,在第4家鸡舍中为[39.9,43.5] mg / d-母鸡。相对湿度和房屋中的NH3排放对PM排放产生了显着影响。对于PM2.5和PM10浓度,顺风浓度均高于顺风浓度。尽管环境PM浓度与房屋PM排放之间线性关系的强度相对较弱,但在0.05的概率水平上,该关系很明显。 24小时PM2.5和PM 10标准的环境PM浓度均未超过国家环境空气质量标准。在室内和环境站中,有机碳占PM 2.5总量的50%以上。 NH4 +,SO42-和NO3-在周围环境中约占PM2.5总质量的40%,但在房屋中仅占PM2.5总质量的12%。测得的PM 2.5质量与所有采样站(房屋站除外)的化学成分质量之和一致。根据热力学模拟,PM2.5对NH3,HNO 3和H2SO4前驱物气体具有非线性响应。在该AFO附近,PM2.5的质量浓度对NH3的变化不敏感。该研究为开发和验证PM排放模型提供了科学数据。全面的化学成分数据,PM的时空变化为定量研究蛋的健康,环境影响和可持续性提供了定量信息。

著录项

  • 作者

    Li, Qianfeng.;

  • 作者单位

    North Carolina State University.;

  • 授予单位 North Carolina State University.;
  • 学科 Agriculture Animal Culture and Nutrition.;Engineering Agricultural.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 246 p.
  • 总页数 246
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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