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保护人类健康免受饮用水中放射性核素与化学物质混合物的影响。

Protection of human health from mixtures of radionuclides and chemical in drinking water.

作者信息

Jones T D, Owen B A, Trabalka J R

机构信息

Health and Safety Research Division, Oak Ridge National Laboratory, Tennessee 37831-6101.

出版信息

Arch Environ Contam Toxicol. 1991 Jan;20(1):143-50. doi: 10.1007/BF01065341.

Abstract

This study was undertaken to develop a common scale for evaluating health risks from contaminated drinking water. For different agents, many unrealistic models of risk have been used. By intent, regulatory toxicology depends on "data-sparse, model-intensive" analogies from exotic animal genetics and novel exposures (NCRP 1989). The question is, does a risk evaluation so derived have any predictive validity? Absence of data prevents answer because regulatory toxicology rationalizes in step-by-step logic, which we call absolute (i.e., predicts cases of disease in a population). Absolute models ensure safety, but do so at the cost of realism. In contrast, we make relative comparisons in the manner of horsepower or RBE from radiation biology. All pollutants are assumed to contribute to toxic injury. Next, relative potencies are linked to the most credible standards. Thus, experience is transferred from well-studied chemicals to the new chemical by "data-intensive, model-sparse" methods. This logos provides much relative precision. Then, pollutants are compared with: (1) common foodstuffs, (2) ambient radiation background, or (3) utility-pure drinking water. Finally, an assessment is made for a waste disposal area.

摘要

本研究旨在开发一种用于评估受污染饮用水健康风险的通用量表。对于不同的污染物,人们使用了许多不切实际的风险模型。有意为之的是,监管毒理学依赖于来自外来动物遗传学和新型暴露的“数据稀疏、模型密集”类比(美国国家辐射防护与测量委员会,1989年)。问题在于,这样得出的风险评估是否具有任何预测效度?数据的缺失使得无法给出答案,因为监管毒理学是以逐步推理的逻辑进行论证的,我们称之为绝对论证(即预测人群中的疾病病例)。绝对模型确保了安全性,但这样做是以牺牲现实性为代价的。相比之下,我们采用辐射生物学中马力或相对生物效应(RBE)的方式进行相对比较。假定所有污染物都会造成毒性损伤。接下来,将相对效力与最可靠的标准联系起来。因此,通过“数据密集、模型稀疏”的方法,将已充分研究的化学物质的经验应用于新的化学物质。这种理念提供了更高的相对精度。然后,将污染物与以下三者进行比较:(1)常见食品,(2)环境辐射本底,或(3)公用事业纯净饮用水。最后,对一个废物处理区域进行评估。

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