摘要
采用CALPUFF模型MESOPUFFII方案预测PM_(2.5)浓度时,需输入氨的小时或月均背景浓度参数。通过三个案例设置了不同氨背景浓度参数下的预测方案,分析了氨背景浓度对PM_(2.5)浓度预测结果的影响。结果表明,在氨背景浓度参数不同而其他参数相同的条件下,对PM_(2.5)预测结果的二次贡献24 h平均浓度和年平均浓度占标率相差较小,在无法获取氨的小时或月均背景浓度值且二次PM_(2.5)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。
The hourly or monthly background ammonia concentrations were required when predicting PM2.5 concentrations in the MESOPUFFII program with the CALPUFF model. In this paper, three cases were studied to set up a prediction scheme with different background ammonia concentrations. The influence of background ammonia concentrations on the PM2.5 concentration prediction was analyzed. The results show that when changing background ammonia concentrations and keeping other parameters same, the standard rates of the predicted PM2.5 secondary contribution of 24-hour average concentration will be similar with the annual average concentrations. Thus, the default background ammonia concentration in CALPUFF model software could be applied in the prediction of PM2.5 concentration, when the hourly or monthly background ammonia concentrations were not available and the emission of secondary PM2.5 precursors is small.
作者
吴凡
WU Fan(Shanxi Xinguohuan Environmental Protection Sci-Tech Co., Ltd., TaiYuan 030002, Chin)
出处
《能源环境保护》
2018年第3期54-58,共5页
Energy Environmental Protection
作者简介
吴凡（1984-），男，山西长治人，工程师，硕士学位，主要从事环境影响评价及环保工作。
