摘要
建立了中尺度气象模型ARPS与区域多尺度空气质量模型CMAQ的耦合模型系统,应用该模型系统模拟研究了2002年1月份和8月份石景山区污染物排放对北京市空气质量的影响.模拟结果显示,1、8两个月份石景山区污染对北京市PM10的月均贡献浓度分别为29.68μg.m-3和32.09μg.m-3,其中污染较重日的日均贡献浓度在50μg.m-3左右,说明石景山污染对北京市空气质量影响较大.同时,进一步对两月典型污染过程进行深入分析,研究发现,在所选两个污染过程中,石景山对北京PM10的贡献浓度与监测浓度同步升高或降低.首先,在污染过程的前期,石景山贡献浓度较低且变化不大,之后贡献浓度与监测浓度同步快速上升,该阶段贡献浓度增量对监测浓度增量的贡献较大,分别占到了同期各自监测浓度增量的52.89%和44.78%,最后,贡献浓度与监测浓度同步降低,说明,在所选污染过程中贡献浓度短时间内的迅速增加是导致北京市监测浓度骤然升高的一个重要原因.
A multi-level nested air quality modeling system was developed by coupling the meso-scale mejeorological model ARPS and the community multi-scale air quality model CMAQ. The modeling system was then applied to assess the effect of emissions in the Shijingshan district on the air quality in the Beijing urban area in Jan. and Aug. 2002. The monthly average PMj0 contribution from Shijingshan to Beijing urban area was 29. 68μg·m^-3 in Jan. and 32.09μg·m^- 3 in Aug. The daily average PM10 contribution was as high as 50 μg·m^-3 on highly 1 polluted days. Two air polluting processes were selected, one was in Jan. and the other was in Aug. By analyzing the two processes, a strong correlation was found between the simulated contributions and the monitoring results. The PM10 contribution was relatively low and went up steadily at the beginning, followed by a sharp increase of PM10 contributions with monitoring concentrations. The PM10 contribution rates were 52.89% and 44.78% in the two selected processes, respectively. At the ending stage of the pollution processes, the PM10 contribution fell according to the monitoring results. This suggests that the PM10 contribution from Shijingshan district to the Beijing urban area is large, and the quick increase of contributive concentration is one of the important reasons that the monitoring concentration rises sharply on the selected polluted days in the Beijing urban area.
出处
《环境科学学报》
CAS
CSCD
北大核心
2007年第12期2074-2079,共6页
Acta Scientiae Circumstantiae
基金
国家重点基础研究发展计划(973)项目(No2005CB724201)
北京市自然科学基金项目(No8061001)~~
