The effects of inlet gas concentration and gas flow-rate on the NO elimination process were studied in a laboratory-scale biofilter and the removal process is discussed. Various pollutant inlet concentrations and gas flow-rates were tested in the biofilter. The results showed that the removal efficiency increased with increase in the empty bed residence time (EBRT) and finally reached a steady state. The mass transfer process became the limiting step of NO removal when the EBRT was less than 2min. A removal efficiency of～73% was obtained in the biofilter at an inlet concentration of 107.1mgm−3. The removal efficiency decreased with increase in inlet concentration, whereas the removal capacity increased. The removal process consisted of chemical oxidation and bio-nitrification in the biofilter. The bioprocess mainly contributed to the removal.

Nitric oxide (NO) may participate in the ozone layer depletion and forming of nitric acid. Abiotic and biological mechanisms of NO removal from waste gases were studied 0in a biotrickling filter. The abiotic NO removal rate in the biotrickling filter was estimated by a review of the literature. The abiotic and biological removals were also verified in the biotrickling filter. The result has shown that chemical oxidation and bionitrification were both involved in the NO removal. It was found that the NO removal in high concentration (1000 ppm or higher) was in large measure the result of abiotic removal in both gas-phase and liquid-phase reactions. When NO concentration is low (less than 100 ppm), bionitrification was the main process in the NO removal process in the biotrickling filter.

以液滴离开塔板的初始位置为边缘分布、液滴粒径为条件分布。用概率统计的方法来描述旋流塔板上液滴群运动的边界条件．进而提出其三维模型。该模型不含可调参数，采用四阶Runge-Kutta法计算，结果得到实验的支持。