首页> 外文期刊>Environmental Science & Technology >C-History Method: Rapid Measurement of the Initial Emittable Concentration, Diffusion and Partition Coefficients for Formaldehyde and VOCs in Building Materials
【24h】

C-History Method: Rapid Measurement of the Initial Emittable Concentration, Diffusion and Partition Coefficients for Formaldehyde and VOCs in Building Materials

机译:C历史方法:快速测量建筑材料中甲醛和VOC的初始可排放浓度,扩散和分配系数

获取原文
获取原文并翻译 | 示例
           

摘要

The initial emittable concentration (Cm,0), the diflusion coefficient (Dm), 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: (l) 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 Cm,o, Dm and K are 8.5%, 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.
机译:初始可排放浓度(Cm,0),扩散系数(Dm)和材料/空气分配系数{K)是影响建筑材料或家具中甲醛和挥发性有机化合物(VOC)排放的三个特征参数。有必要确定这些参数以了解排放特性以及如何控制它们。在本文中,我们开发了一种用于封闭腔室的C历史方法来测量这三个参数。与文献中描述的确定三个参数的可用方法相比,我们的方法具有以下显着特征:(l)可以同时获得三个参数; (2)节省时间,对于所研究的案例通常需要不到3天的时间(可用的方法通常需要7-28天); (3)测得的Cm,o,Dm和K的最大相对标准偏差分别为8.5%,7.7%和9.8%,这对于工程应用是可以接受的。通过在密闭室实验中确定的特征参数来预测通风的满刻度室实验中观察到的排放量,对新方法进行了验证,证明了该方法是可靠且令人信服的。我们的新C历史方法应被证明可用于快速确定预测建筑材料中甲醛和VOC排放以及家具标签所需的参数。

著录项

  • 来源
    《Environmental Science & Technology》 |2011年第8期|p.3584-3590|共7页
  • 作者单位

    School of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing 100081, China,Department of Building Science, Tsinghua University, Beijing 100084, China;

    Department of Building Science, Tsinghua University, Beijing 100084, China;

    Department of Building Science, Tsinghua University, Beijing 100084, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号