C-History Method: Rapid Measurement of the Initial Emittable Concentration, Diffusion and Partition Coefficients for Formaldehyde and VOCs in Building Materials
C-History Method: Rapid Measurement of the Initial Emittable Concentration, Diffusion and Partition Coefficients for Formaldehyde and VOCs in Building Materials
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DOI：
10.1021/es200277p
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发表时间：
2011-04-15
影响因子：
11.4
通讯作者：
Zhang, Yinping
中科院分区：
文献类型：
--
作者：
Xiong, Jianyin;Yao, Yuan;Zhang, Yinping
初始排放浓度（C(m,0)）、扩散系数（D(m)）和材料/空气隔断系数(K)是影响建筑材料或家具中甲醛和挥发性有机物（VOCs）排放的三个特征参数。有必要确定这些参数，以了解发射特性和如何控制它们。本文提出了一种测量这三个参数的新方法——密闭腔c -历史法。与现有的确定文献中描述的三个参数的方法相比，我们的方法具有以下显著特点：(1)三个参数可以同时获得；(2)省时，研究病例一般不超过3天（现有方法往往需要7-28天）；(3)实测C（m,0）、D(m)和K的最大相对标准偏差分别为8.3%、7.7%和9.8%，可满足工程应用要求。利用密闭室实验中确定的特征参数对通风全尺寸室实验中观测到的辐射进行预测，验证了该方法的可靠性和可信性。我们的新C-history方法应该证明对快速确定预测建筑材料甲醛和VOC排放所需的参数以及家具标签是有用的。
The initial emittable concentration (C(m,0)), the diffusion coefficient (D(m)), and the material/air partition coefficient (K) are the three characteristic parameters influencing emissions of formaldehyde and volatile organic compounds (VOCs) from building materials or furniture. It is necessary to determine these parameters to understand emission characteristics and how to control them. In this paper we develop a new method, the C-history method for a closed chamber, to measure these three parameters. Compared to the available methods of determining the three parameters described in the literature, our approach has the following salient features: (1) the three parameters can be simultaneously obtained; (2) it is time-saving, generally taking less than 3 days for the cases studied (the available methods tend to need 7-28 days); (3) the maximum relative standard deviations of the measured C(m,0), D(m) and K are 8.3%, 7.7%, and 9.8%, respectively, which are acceptable for engineering applications. The new method was validated by using the characteristic parameters determined in the closed chamber experiment to predict the observed emissions in a ventilated full scale chamber experiment, proving that the approach is reliable and convincing. Our new C-history method should prove useful for rapidly determining the parameters required to predict formaldehyde and VOC emissions from building materials as well as for furniture labeling.