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利用完全混合箱模型估算室内游泳池中的三氯胺气溶胶浓度。

Estimating airborne trichloramine levels in indoor swimming pools using the well-mixed box model.

机构信息

Department of Environmental and Occupational Health, School of Public Health, Le Centre de recherche en santé publique (CreSP), Université de Montréal, Montreal, Canada.

出版信息

J Occup Environ Hyg. 2024 May-Jun;21(6):397-408. doi: 10.1080/15459624.2024.2327370. Epub 2024 Apr 26.

Abstract

Exposure to airborne disinfection by-products, especially trichloramine (TCA), could cause various occupational health effects in indoor swimming pools. However, TCA concentration measurements involve specialized analysis conducted in specific laboratories, which can result in significant costs and time constraints. As an alternative, modeling techniques for estimating exposures are promising in addressing these challenges. This study aims to predict airborne TCA concentrations in indoor swimming pools using a mathematical model, the well-mixed box model, found in the IHMOD tool, freely available on the American Industrial Hygiene Association website. The model's predictions are compared with TCA concentrations measured during various bather load scenarios. The research involved conducting 2-hr successive workplace measurements over 16- to 18-hr periods in four indoor swimming pools in Quebec, Canada. TCA concentrations were estimated using the well-mixed box model, assuming a homogeneous mixing of air within the swimming pool environment. A novel approach was developed to estimate the TCA generation rate from swimming pool water, incorporating the number of swimmers in the model. Average measured concentrations of TCA were 0.24, 0.26, 0.14, and 0.34 mg/m for swimming pools 1, 2, 3, and 4, respectively. The ratio of these measured average concentrations to their corresponding predicted values ranged from 0.51 to 1.30, 0.67 to 1.04, 0.57 to 1.14, and 0.68 to 1.49 for the respective swimming pools. In a worst-case scenario simulating the swimming pool at full capacity (maximum bathers allowed), TCA concentrations were estimated as 0.23, 0.36, 0.14, and 0.37 mg/m for swimming pools 1, 2, 3, and 4. Recalculated concentrations by adjusting the number of swimmers so as not to exceed the recommended occupational limit concentration of 0.35 mg/m gives a maximum number of swimmers of 63 and 335 instead of currently 80 and 424 for swimming pools 2 and 4, respectively. Similarly, for swimming pools 1 and 3, the maximum number of swimmers could be 173 and 398 (instead of the current 160 and 225, respectively). These results demonstrated that the model could be used to estimate and anticipate airborne TCA levels in indoor swimming pools across various scenarios.

摘要

暴露于空气中的消毒副产物,尤其是三氯胺(TCA),可能会对室内游泳池中的各种职业健康产生影响。然而,TCA 浓度的测量需要在特定的实验室进行专门的分析,这可能会导致高昂的成本和时间限制。作为替代方法,用于估计暴露的建模技术在解决这些挑战方面具有很大的前景。本研究旨在使用数学模型(即 IHMOD 工具中的完全混合箱模型)预测室内游泳池中的空气中 TCA 浓度,该模型可在美国工业卫生协会网站上免费获得。将模型的预测结果与在各种沐浴者负荷情况下测量的 TCA 浓度进行了比较。该研究涉及在加拿大魁北克的四个室内游泳池中进行 16-18 小时连续两小时的工作场所测量。使用完全混合箱模型估计 TCA 浓度,假设游泳池环境中空气均匀混合。开发了一种新方法来从游泳池水中估计 TCA 的生成率,将游泳池中的游泳者数量纳入模型中。游泳池 1、2、3 和 4 中 TCA 的平均实测浓度分别为 0.24、0.26、0.14 和 0.34mg/m。这些实测平均浓度与相应预测值的比值范围为 0.51 至 1.30、0.67 至 1.04、0.57 至 1.14 和 0.68 至 1.49。在模拟游泳池满负荷(允许的最大沐浴者)的最坏情况下,游泳池 1、2、3 和 4 中的 TCA 浓度预计分别为 0.23、0.36、0.14 和 0.37mg/m。通过调整游泳者的数量重新计算浓度,使其不超过推荐的职业限制浓度 0.35mg/m,可以得出游泳池 2 和 4 的最大游泳者数量分别为 63 和 335,而不是当前的 80 和 424。类似地,对于游泳池 1 和 3,最大游泳者数量可以为 173 和 398(而不是当前的 160 和 225)。这些结果表明,该模型可用于估计和预测不同情况下室内游泳池中的空气中 TCA 水平。

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