城市空气质量与气象条件的关系及空气质量预报系统  被引量:39

Correlation Analysis between Urban Air Quality and Meteorological Conditions

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作  者:王淑云 节江涛 熊险平 燕成玉 

机构地区:[1]河北省沧州市气象局,沧州061001 [2]河北省秦皇岛市气象局,秦皇岛066000

出  处:《气象科技》2006年第6期688-692,共5页Meteorological Science and Technology

摘  要:利用2002年6月1日至2004年5月31日沧州市环境监测站的逐日空气质量报告数据,对沧州市空气质量及其污染物进行了统计分析,发现沧州市空气质量优良的天数居多,两年中有236天污染天气。影响沧州市空气质量的首要污染物为PM10,其次为SO2,空气质量受季节影响较为严重,冬季取暖期污染最为严重,属于“煤烟型”污染,并与天气现象、气压场、风场、总云量等气象因子密切相关。对比沧州市每日运行的空气质量预报系统,CAPPS 1.0模式比统计预报模式预报更为准确。Based on the day-to-day data from the Environmental Monitoring Station of Cangzhou from 1 June 2002 to 31 May 2004, the urban air quality and pollutants in Cangzhou are analyzed. The statistical results show: the air quality in Cangzhou is mostly fine and there are 236 polluted days in two years; the primary pollutants influencing the air quality in Cangzhou are PM10 and SO2 ; air quality is closely relevant to seasons and meteorological factors, such as weather phenomena, pressure, winds and cloudiness. By comparing the prediction results of two air quality forecast systems that run every day in Cangzhou, it is founded that the CAPPS 1.0 model performed better than the statistical model.

关 键 词:空气质量 污染物 气象因子 预报系统 

分 类 号:P457.6[天文地球—大气科学及气象学]

 

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