摘要
为有效降低房间内的甲醛浓度,需要了解实际房间内甲醛散发率的影响因素及计算方法。通过用户房间内所安装的环境监测设备获得多种环境参数的实时数据,分析了空气温度、相对湿度、甲醛浓度以及通风换气次数等四种因素与甲醛散发率之间的数值关系;并根据该因素分析的结果,通过线性拟合的方法建立了基于上述4种因素的甲醛散发率计算公式,拟合优度为0.574。其中,温度、相对湿度和甲醛质量浓度均为实测数据,而通风换气次数则通过房间内CO_2浓度数据由示踪气体持续注入法推算得到。该方法目的在于提供真实房间内甲醛散发率估算公式及长期跟踪实际房间内甲醛散发率的方法,为相关研究提供数据基础。
In order to effectively reduce the indoor formaldehyde concentration,it was essential to understand the environmental factors that influence the emission of formaldehyde,and be clear about the calculation method for formaldehyde emission rate in real buildings. This study collected / monitored real- time data of multiple indoor environmental parameters through the wireless environment monitoring devices installed in residential buildings,investigated the impacts of air temperature,relative humidity,formaldehyde concentration,and air change rate( ACH) on the formaldehyde emission rate,and finally built an estimation model for the indoor formaldehyde emission rate,wherein ACH was calculated by tracer gas decay and continuous injection methods with CO2 emitted from the occupants as the tracer gas. Linear regression method was used to modelling the formaldehyde emission rate with a goodness of fit 0. 574. The estimation methods proposed in this study aimed at providing an estimation formula,and an approach of tracing the indoor formaldehyde emission rate in real residential buildings rather than lab chamber in a long- term scale.
出处
《南昌大学学报(工科版)》
CAS
2016年第1期32-38,共7页
Journal of Nanchang University(Engineering & Technology)
关键词
甲醛散发率
室内环境监测
通风换气次数
线性拟合
formaldehyde emission rate
indoor environment monitoring
air change rate
linear regression