室内空气污染预测方法的实证研究

在大型(30m3)、小型(1m3)环境箱实验获得数据的基础上构建释放模型,并将模拟结果和现场监测得到的浓度水平进行对比,对开发的室内空气污染预测方法进行了实证研究.以一新装修房间为例,分别利用大型和小型环境箱实验,研究了复杂整装材料和简单层状材料的释放规律,建立了相应材料的污染物释放模型;依据单元内物质守恒理论和污染物充分混合的假设将释放模型组合,建立了室内空气污染预测方法,并预测了该房间甲醛和TVOC(total volatile organic compounds)浓度的变化过程.在考虑了0.03ACH(air change per hour)的换气率之后,模型预测与现场监测的污染物浓度变化趋势基本吻合,甲醛和TVOC污染预测误差(正则化标准差)分别为2.8%和1.6%.模型分析表明,各污染源对于甲醛污染的贡献,家具＞涂料＞地板;对于TVOC污染的贡献,涂料＞地板＞家具.结论表明,该预测方法可以真实反映现场污染物浓度变化趋势,可以用来分析各污染源对于整体污染的贡献、指导装修材料的选择和作为室内污染评估和控制的有效工具.

Validation of a Prediction Method for Indoor Air Pollution

The validation study of the prediction method for indoor air pollution was carried out by comparing the results of emission models based on data obtained in a large and a small emission chamber, with actual measured concentrations. A new decorated room was studied as a case. Emissions of complicated objects and simple surface layer materials were studied respectively in the large and small chamber and emission models were developed. Those models were based on the assumptions regarding mass conservation of substances and the hypothesis that pollutants were well mixed. The emissions of formaldehyde and TVOC (total volatile organic compounds) in the studied room were predicted by the method. The predicted concentration trend of pollutants was in accordance with the measured trend when some air exchange (0.03ACH, air change per hour) was taken into account. The normalized standard errors of formaldehyde and TVOC pollution prediction were respectively 2.8% and 1.6%. Modeling analysis shows that the contribution to total formaldehyde pollution of the studied room was: furniture>paint>floor; the contribution to total TVOC pollution was: paint> floor> furniture. The results lead to the conclusion that this prediction method can well describe the pollution trend, can assess the contribution of different sources, can guide the choice of building materials and is an effective tool for indoor air pollution assessment and control.