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Physical, chemical and biological properties of airborne particles emitted from animal confinement buildings

机译:动物禁闭建筑物排放的空气传播颗粒的物理,化学和生物特性

摘要

Airborne particles emitted from animal confinement buildings have been an environmental concern for some time. Relevant regulations are under discussion. However, one of the major obstacles is a lack of comprehensive understanding of their physical, chemical and biological properties that may be closely related to environmental and health effects. In addition, the use of receptor modeling requires known chemical source profiles. To address the current research need, airborne particles collected from six types of animal confinement buildings were subject to characterization. First, TSP, PM10 and PM2.5 concentrations were determined gravimetrically and their variations were investigated. PM concentrations were significantly affected by animal building type, season (ambient temperature) and feeding systems; while, animal density had no significant effect. Specifically, higher PM concentrations occurred in poultry buildings than swine buildings; PM concentrations decreased with ambient temperature; and wet feeding systems were associated with lower TSP and PM10 concentrations than dry feeding systems. A generalized linear model was established for estimating PM10 concentrations in swine buildings with animal building type, daily average ambient temperature, specific fan area, animal density, and TSP concentrations as predictors. The coefficient of determination (R2) of the proposed model was 0.907.Second, some previous studies reported that Federal Reference and Equivalent Method (FRM/FEM) PM samplers oversample PM10 and PM2.5 from agricultural sources. They proposed an indirect method that calculates PM10 and PM2.5 concentrations from TSP concentrations and the particle size distribution (PSD) of TSP. The conclusion and the proposed calculation method were established based on several assumptions. The present study shows that when different assumptions are employed, different conclusions and calculation results could be obtained. The PM10 and PM2.5 concentrations derived from different particle size analyzers could be significantly different. Among the four analyzers under investigation, Aerosizer DSP produced the most comparable PM10 concentrations to the gravimetric method. Third, the chemical composition of the PM10 and PM2.5 samples was examined, including inorganic elements and soluble ions. The present study revealed that PM chemical composition varied significantly with animal building type. PM samples from certain different types of animal confinement buildings, e.g., manure-belt layer hen and tom turkey, had significantly different chemical compositions, indicating a possibility of applying receptor models to determining PM contributions by different animal building types. Seasons had no significant effect on PM10 and a significant but slight effect on PM2.5 chemical compositions- the absence of strong seasonal variations is a good news for PM receptor modeling. Future efforts should be made to apply receptor models to animal production related air quality problems, and to compare receptor models with dispersion models to assess their respective advantages and limitations. PM2.5 samples from different types of animal confinement buildings had more similar chemical compositions than PM10 samples. One of the limitations associated with the present study is that the total mass fraction of investigated chemical species was low, typically less than 16%. Future investigations should attempt to characterize the rest of PM mass.Fourth, a total of 57 odorants were identified and quantified in TSP, PM10 and feed samples. Acetic acid and ethanol were the most abundant odorants; while, phenylacetic acid and (E,E)-2,4-decadienal were the top two odor contributors, considering their low odor thresholds in air. The odorant composition of PM samples varied significantly with animal building type. Compared to the TSP samples, the PM10 samples from different animal buildings were more similar in odorant composition and contributed on average 50% of the odor strength of TSP samples. The effect of seasons was also significant, but less substantial than that of animal building types. A gradual change in odorant composition from hot to mild to cold seasons was observed. TSP and PM10 samples were found to have significantly different odorant compositions and significantly higher odorant contents than feed samples, suggesting that the majority of particle-borne odorants may originate from sources other than feed. Different than the conclusions from some previous studies, the present study suggests that the majority of odorants exist in the gas phase rather than on particles. Fifth, airborne endotoxins and (1???3)-??-D-glucans in TSP samples were analyzed. Most measured airborne endotoxin concentrations exceeded the exposure limit proposed by Donham el al. (1995; 2000) and the threshold issued by the Dutch Health Council in the Netherlands, which may raise a health concern for farm workers as well as animals grown in confined environments. The present study revealed that animal building types had a significant effect on airborne endotoxins and (1???3)-??-D-glucan concentrations, but no significant effect on the contents of endotoxin and (1???3)-??-D-glucan in particles. By contrast, seasons had no significant effect on airborne endotoxin and (1???3)-??-D-glucan concentrations but a significant effect on their contents in particles, which increased with the daily average ambient temperature. Elevated indoor temperatures during the summer were considered to facilitate the growth and propagation of bacteria and fungi, thus leading to higher microbial contents in particles. A significant and positive correlation was identified between TSP and airborne endotoxin/ (1???3)-??-D-glucan concentrations, implying a possibility of applying existing dust control techniques for the mitigation of these two bioactive agents.
机译:从动物隔离建筑物中散发的空气中颗粒物已经引起了环境关注。有关规定正在讨论中。但是,主要障碍之一是对其可能与环境和健康影响密切相关的物理,化学和生物学特性缺乏全面的了解。另外,受体建模的使用需要已知的化学源概况。为了满足当前的研究需求,对从六种类型的动物禁闭建筑物中收集到的空气传播颗粒进行了表征。首先,用重量分析法测定TSP,PM10和PM2.5的浓度,并研究其变化。 PM浓度受动物建筑物类型,季节(环境温度)和饲喂系统的影响很大;而动物密度没有显着影响。具体而言,家禽建筑中的PM浓度高于猪建筑。 PM浓度随环境温度降低;湿饲系统与干饲系统相比,TSP和PM10浓度较低。建立了一个通用的线性模型,以动物建筑物类型,日平均环境温度,特定风扇区域,动物密度和TSP浓度作为预测因子,估算猪舍中的PM10浓度。提出的模型的确定系数(R2)为0.907。他们提出了一种间接方法,可以根据TSP浓度和TSP的粒径分布(PSD)计算PM10和PM2.5的浓度。结论和提出的计算方法是建立在几个假设的基础上的。本研究表明,当采用不同的假设时,可以获得不同的结论和计算结果。来自不同粒度分析仪的PM10和PM2.5浓度可能存在显着差异。在所研究的四台分析仪中,Aerosizer DSP产生的PM10浓度与重量分析法最相近。第三,检查了PM10和PM2.5样品的化学成分,包括无机元素和可溶性离子。本研究表明,PM的化学成分随动物建筑物的类型而显着变化。来自某些不同类型的动物隔离建筑物的PM样品,例如粪肥带母鸡和汤姆火鸡,具有明显不同的化学成分,这表明有可能应用受体模型来确定不同动物建筑物类型的PM贡献。季节对PM10没有显着影响,对PM2.5化学成分也没有显着影响,但影响很小-缺少强烈的季节性变化对于PM受体建模是个好消息。应该做出进一步的努力,将受体模型应用于与动物生产有关的空气质量问题,并将受体模型与分散模型进行比较,以评估其各自的优势和局限性。来自不同类型动物隔离建筑物的PM2.5样品的化学成分比PM10样品更相似。与本研究相关的局限性之一是所研究化学物种的总质量分数很低,通常小于16%。未来的研究应试图表征其余的PM质量。第四,在TSP,PM10和饲料样品中共鉴定并定量了57种气味。乙酸和乙醇是最丰富的气味。考虑到空气中的气味阈值较低,而苯乙酸和(E,E)-2,4-癸二烯醛是两个最大的气味贡献者。 PM样品的气味成分随动物建筑物类型而显着变化。与TSP样品相比,来自不同动物建筑物的PM10样品的气味成分更相似,并且平均贡献了TSP样品的气味强度的50%。季节的影响也很明显,但不及动物建筑物类型的影响大。从炎热的季节到温和的到寒冷的季节,气味成分逐渐变化。与饲料样品相比,TSP和PM10样品具有明显不同的气味成分和明显更高的气味含量,这表明大多数颗粒状气味物质可能源自饲料以外的来源。与先前研究的结论不同,本研究表明,大多数气味剂存在于气相中而不是颗粒中。第五,分析了TSP样品中的空气传播的内毒素和(1→3)-β-D-葡聚糖。大多数测量的空气传播的内毒素浓度超过了Donham等提出的暴露极限。 (1995年; 2000年)和荷兰卫生委员会在荷兰发布的门槛,这可能会给农场工人以及密闭环境中饲养的动物带来健康问题。本研究表明,动物建筑类型对空气传播的内毒素和(1 ??? 3)-β-D-葡聚糖的浓度有显着影响,但对内毒素和(1?3)-颗粒中的β-D-葡聚糖。相比之下,季节对空气中的内毒素和(1?3)-??-D-D-葡聚糖的浓度没有显着影响,但对它们在颗粒中的含量有显着影响,随每日平均环境温度的升高而增加。人们认为夏季室内温度升高有利于细菌和真菌的生长和繁殖,从而导致颗粒中微生物含量更高。在TSP和空气传播的内毒素/(1→3)-β-D-葡聚糖浓度之间发现了显着的正相关性,这暗示了应用现有的粉尘控制技术来减轻这两种生物活性剂的可能性。

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    Yang Xufei;

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  • 年度 2010
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  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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