CALPUFF模型参数中氨的背景浓度对PM_(2.5)预测结果的影响

The influence of the background concentration of ammonia in CALPUFF model parameters on the predicted results of PM_(2.5)

在采用CALPUFF模型中MESOPUFFII方案预测PM_(2.5)浓度时需输入氨的小时或者月均背景浓度参数。通过3个项目的案例设置了3种不同的氨的背景浓度参数预测方案,分析了氨的背景浓度不同参数对预测结果 PM_(2.5)浓度的影响。结果表明,在氨的背景浓度参数不同、其他参数相同的条件下,对预测结果的PM_(2.5)二次贡献24h平均浓度和年平均浓度占标率相差较小。因此,在无法获取氨的小时或者月均背景浓度值时以及二次PM_(2.5)的前体物排放量不大的情况下,可以用CALPUFF模型软件的氨背景浓度默认值作为预测时氨背景浓度参数。

In CALPUFF model,when predicting the concentration of PM2.5 with MESOPUFFII program,the background concentration parameters of ammonia in an hour or monthly are input.In this paper,three project cases are used to set up the prediction programs of three different kinds of background concentration parameters of ammonia.The influence of different parameters of background concentration of ammonia on PM2.5 concentration of the predicted results are analyzed.The results show that under the condition that when parameters of the background concentration of ammonia are different and other parameters are same,the predicted PM2.5 secondary contribution of 24 hour average concentration and the annual average concentration of standard rate are smaller.So when hourly or monthly ammonia background concentration can＇t be acquired and precursors emission of secondary PM2.5 is comparatively small,the default number of ammonia background concentration of CALPUFF model software could be used as a background concentration parameter of ammonia when predicting.