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A long-term dynamic model for predicting the concentration of semivolatile organic compounds in indoor environments: Application to phthalates

机译:预测室内环境中半挥发性有机化合物浓度的长期动态模型:在邻苯二甲酸盐中的应用

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摘要

Semivolatile organic compounds (SVOCs) in indoor environments can partition into the gas phase, airborne particles, and settled dust and onto available surfaces. A long-term dynamic model was developed to predict the hourly concentrations of SVOCs over a year in the gas phase, airborne particles, and settled dust and on each sink surface. The model takes into account mass transfer mechanisms, the reactivity of SVOCs with oxidants indoors, and the influence of four indoor environmental factors (the air temperature, relative humidity, concentration of indoor airborne particles, and air exchange rate) on the mass transfer parameters. The model was validated for DEHP (di-2-ethylhexyl phthalate) and BBzP (butyl benzyl phthalate) by comparing the predicted concentrations in all the phases with the measured concentrations obtained in an environmental chamber and a test house. The model was then used to predict the hourly averaged concentration of BBzP in all the phases under real environmental conditions over a year. More than 52% of the variance in the BBzP concentrations was found to be associated with the covariance of the environmental factors. The air exchange rate explained at least 16% of the variance in the BBzP concentrations. In addition, the indoor air temperature explained 9% of the variance in the BBzP gas-phase concentration and the relative humidity explained 7% of the variance in the BBzP settled dust concentration. The variance in the concentration of the total suspended particles explained 10% of the variance in the BBzP concentration on the walls and windows.
机译:室内环境中的半挥发性有机化合物(SVOC)可以分为气相,空气传播的颗粒和沉降的灰尘,并可以分配到可用表面上。开发了一个长期动态模型,以预测一年中气相,空气悬浮颗粒和沉降粉尘以及每个水槽表面上SVOC的每小时浓度。该模型考虑了传质机理,SVOC与室内氧化剂的反应性以及四个室内环境因素(气温,相对湿度,室内空气中颗粒物的浓度和空气交换速率)对传质参数的影响。通过比较所有阶段的预测浓度与在环境室和测试室中获得的测得浓度,对模型的DEHP(邻苯二甲酸二-2-乙基己基邻苯二甲酸酯)和BBzP(邻苯二甲酸苄基丁酯)进行了验证。然后使用该模型预测一年中实际环境条件下所有阶段的每小时BBzP平均浓度。发现BBzP浓度中超过52%的方差与环境因素的协方差相关。空气交换率至少解释了BBzP浓度变化的16%。另外,室内空气温度解释了BBzP气相浓度变化的9%,相对湿度解释了BBzP沉降粉尘浓度变化的7%。总悬浮颗粒浓度的变化解释了墙壁和窗户上BBzP浓度变化的10%。

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