摘要:介绍河南省新乡市空气质量数值预报系统, 该平台应用嵌套网格空气质量模式系统 (NAQPMS) 和第3代空气质量模式 (CMAQ) , 实现自动化运行;基于该系统平台, 分析华北-华中地区大范围的PM2.5重污染事件, 评估其对重污染过程的预报效果。结果表明:数值模式系统较好地预报出本次污染过程, 尤其是NAQPMS模式, 较为准确的预报出污染时段和污染物的浓度水平。
关键词:重污染;颗粒物;数值预报;业务化
Abstract:Air quality numerical forecasting service system of Xinxiang city, Henan province was conducted operationally. Two air quality numerical models, nested air quality prediction modeling system (NAQPMS) and community multiscale air quality (CMAQ) were employed to realize automatic operation. A severe PM2.5 polluted episode over north and middle China was analyzed based on the platform to eualuate the forecast effect. The results show that the model system can reproduce this episode well, with good relationship between observation and simulation, especially NAQPMS model, which can predict accurately period of the event and the concentration level of pollutants.
Keywords: severe pollution;particulate matter;numerical forecasts;operational