用于相互关联影响、标准和所需源减少的空气质量数据分析系统:第12部分。空气污染物对人类、动物和植物的影响。

R I Larsen, W F McDonnell, D L Coffin, W W Heck
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引用次数: 4

摘要

1991年开发的影响-效应数学模型改进了先前的数学模型,用于预测生物反应作为空气污染物影响的函数。这里的影响定义为暴露时间乘以空气污染物浓度上升到一个指数(t.cd)。本文的目的是绘制和回归示例生物效应作为空气污染物影响的函数,以确定绘制的数据在多大程度上适合三个目标人群的影响-效应模型:人,动物和植物(广泛的生命形式)。三种生物效应是:对人体而言,臭氧暴露后肺功能下降;动物方面,暴露于二氧化氮(NO2)后的小鼠死亡率;对于植物,O3对叶片的伤害。三个最终的回归方程解释了大量的数据差异:95%的肺功能,92%的叶片损伤,73%的小鼠死亡率。该模型适合动物和植物的数据,包括急性和慢性暴露。动物暴露时间从6分钟到1年不等,植物暴露时间从0.75到552小时不等。
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An air quality data analysis system for interrelating effects, standards, and needed source reductions: Part 12. Effects on man, animals, and plants as a function of air pollutant impact.

The impact-effect mathematical model, developed in 1991, improves on a previous mathematical model, and was developed to predict biological response as a function of air pollutant impact. Impact is defined here as exposure duration multiplied by air pollutant concentration raised to an exponent (t.cd). This paper's purpose is to plot and regress example biological effects as a function of air pollutant impact to determine how well the plotted data fit the impact-effect model for three target populations: man, animals, and plants (a wide range of life forms). The three biological effects are: for man, lung function decrease after exposure to ozone (O3); for animals, mouse mortality after exposure to nitrogen dioxide (NO2); and for plants, leaf injury after exposure to O3. The three resultant regression equations account for a substantial amount of the data variance: 95 percent for lung function, 92 percent for leaf injury, and 73 percent for mouse mortality. The model fits the animal and plant data that cover both acute and chronic exposures. The animal exposures ranged from 6 min to 1 yr. The plant exposures ranged from 0.75 to 552 h.

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