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房室室内空气质量模型的解析解及其在一所房屋内测得的环境烟草烟雾浓度中的应用。

Analytical solutions to compartmental indoor air quality models with application to environmental tobacco smoke concentrations measured in a house.

作者信息

Ott Wayne R, Klepeis Neil E, Switzer Paul

机构信息

Department of Statistics and Department of Civil and Environmental Engineering, Stanford University, Stanford, California 94305, USA.

出版信息

J Air Waste Manag Assoc. 2003 Aug;53(8):918-36. doi: 10.1080/10473289.2003.10466248.

Abstract

This paper derives the analytical solutions to multi-compartment indoor air quality models for predicting indoor air pollutant concentrations in the home and evaluates the solutions using experimental measurements in the rooms of a single-story residence. The model uses Laplace transform methods to solve the mass balance equations for two interconnected compartments, obtaining analytical solutions that can be applied without a computer. Environmental tobacco smoke (ETS) sources such as the cigarette typically emit pollutants for relatively short times (7-11 min) and are represented mathematically by a "rectangular" source emission time function, or approximated by a short-duration source called an "impulse" time function. Other time-varying indoor sources also can be represented by Laplace transforms. The two-compartment model is more complicated than the single-compartment model and has more parameters, including the cigarette or combustion source emission rate as a function of time, room volumes, compartmental air change rates, and interzonal air flow factors expressed as dimensionless ratios. This paper provides analytical solutions for the impulse, step (Heaviside), and rectangular source emission time functions. It evaluates the indoor model in an unoccupied two-bedroom home using cigars and cigarettes as sources with continuous measurements of carbon monoxide (CO), respirable suspended particles (RSP), and particulate polycyclic aromatic hydrocarbons (PPAH). Fine particle mass concentrations (RSP or PM3.5) are measured using real-time monitors. In our experiments, simultaneous measurements of concentrations at three heights in a bedroom confirm an important assumption of the model-spatial uniformity of mixing. The parameter values of the two-compartment model were obtained using a "grid search" optimization method, and the predicted solutions agreed well with the measured concentration time series in the rooms of the home. The door and window positions in each room had considerable effect on the pollutant concentrations observed in the home. Because of the small volumes and low air change rates of most homes, indoor pollutant concentrations from smoking activity in a home can be very high and can persist at measurable levels indoors for many hours.

摘要

本文推导了用于预测家庭室内空气污染物浓度的多隔间室内空气质量模型的解析解,并使用单层住宅房间内的实验测量数据对这些解进行了评估。该模型采用拉普拉斯变换方法来求解两个相互连接隔间的质量平衡方程,得到了无需计算机即可应用的解析解。环境烟草烟雾(ETS)源(如香烟)通常在相对较短的时间内(7 - 11分钟)排放污染物,在数学上由“矩形”源排放时间函数表示,或由称为“脉冲”时间函数的短持续时间源近似表示。其他随时间变化的室内源也可以用拉普拉斯变换表示。双隔间模型比单隔间模型更复杂,有更多参数,包括作为时间函数的香烟或燃烧源排放率、房间体积、隔间空气交换率以及表示为无量纲比率的区域间气流因子。本文提供了脉冲、阶跃(海维赛德)和矩形源排放时间函数的解析解。它以雪茄和香烟为源,在一个无人居住的两居室房屋中对室内模型进行评估,同时连续测量一氧化碳(CO)、可吸入悬浮颗粒(RSP)和颗粒多环芳烃(PPAH)。使用实时监测器测量细颗粒质量浓度(RSP或PM3.5)。在我们的实验中,在卧室三个高度同时测量浓度证实了模型的一个重要假设——混合的空间均匀性。双隔间模型的参数值使用“网格搜索”优化方法获得,预测解与房屋房间内测量的浓度时间序列吻合良好。每个房间的门窗位置对房屋内观测到的污染物浓度有相当大的影响。由于大多数家庭的体积小且空气交换率低,家庭中吸烟活动产生的室内污染物浓度可能非常高,并且可以在室内可测量水平持续数小时。

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