Objective To study tendency of air pollutant concentration in decorated office.
目的了解装修后办公室室内污染物浓度的变化特征。
At the same time, the correlation coefficient between temperature vertical decrease rate of low layer atmosphere and air pollutant concentration is negative.
同时，贴地大气层结温度递减率与空气污染物浓度呈显著反相关。
Methods The air pollutant exposure concentration in history were calculated with the multi - source proliferation mathematical model.
方法用多源扩散数学模型计算健康调查区域内的大气污染物历史暴露浓度。
It is necessary to get sufficient knowledge of the indoor air velocity distribution, temperature distribution, and pollutant concentration distribution.
为了更好的控制室内空气环境，必须对室内空气流速、温度、有害物浓度的分布有一定的了解。
In this model the effect of meteorological element, output and concentration of air pollutant were considered, so it's physical foundation may be more believable than pure statistics model.
在模型中既考虑了气象条件的作用，又考虑了污染排放量和起报日的污染浓度，与以往的空气污染预报统计模型相比，所依据的物理基础更可信一些。
A new method of calculating long term mean concentration of air pollutant from area source is proposed by integrating the line source long term mean concentration model.
利用线源长期平均浓度模式对面源的积分得到了一个用风向、风速和稳定度的联合频率计算大气面源长期平均浓度的新算法。
The increasing ground heat release would strengthen the air exchange rate within the courtyards, thus lead to the decrease of pollutant concentration.
地面散热量的增加会强化污染物的扩散，有助于将其排出庭院建筑，该作用在静风状态下表现的更加明显。
The increasing ground heat release would strengthen the air exchange rate within the courtyards, thus lead to the decrease of pollutant concentration.
地面散热量的增加会强化污染物的扩散，有助于将其排出庭院建筑，该作用在静风状态下表现的更加明显。
应用推荐