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银川市空气质量动力预测系统及预测结果分析
引用本文:孙银川,缪启龙,李艳春,桑建人.银川市空气质量动力预测系统及预测结果分析[J].甘肃气象,2006,24(2):89-94.
作者姓名:孙银川  缪启龙  李艳春  桑建人
作者单位:南京信息工程大学,南京信息工程大学,宁夏防灾减灾重点实验室,南京信息工程大学 江苏南京210044,宁夏防灾减灾重点实验室,宁夏银川750002,江苏南京210044,宁夏银川750002,江苏南京210044
摘    要:在介绍银川市空气质量动力预测模型的基础上,重点对该模型的预测结果及误差进行分析。结果表明:该系统能较好地对24 h污染气象条件进行预测,污染气象条件的预测结果与监测结果比较吻合,预报准确率PM10为61%、SO2为92%;春季各月PM10预测值的平均绝对误差较大,其它3个季节相对较小,SO2的情况与PM10正好相反;考虑风沙条件对模式预测准确性的影响,可根据不同时间、不同季节,逐步调整模式中的扬沙系数,能有效地提高该模式对银川市多风沙季节以PM10为首要污染物的空气质量预测准确率,以适应银川市特殊的气候及环境条件。

关 键 词:银川市  空气质量  预测
文章编号:1006-7639(2006)-02-0089-06
收稿时间:2005-04-21
修稿时间:2005-04-212006-04-06

Prediction Result Analysis of Air Quality Dynamic Prediction System in Yinchuan City
SUN Yin-chuan,MIAO Qi-long,LI Yan-chun,SANG Jian-ren.Prediction Result Analysis of Air Quality Dynamic Prediction System in Yinchuan City[J].Gansu Meteorology,2006,24(2):89-94.
Authors:SUN Yin-chuan  MIAO Qi-long  LI Yan-chun  SANG Jian-ren
Abstract:The air quality dynamic prediction system in Yinchuan city is given out simply,and the prediction result and error about the system are analyzed in detail.Results show that the system can forecast pollution meteorological condition in 24 hours,and the prediction result corresponds to monitoring result well,the prediction accuracy for PM_(10) and SO_2 is 61% and 92%,respectively;the average absolute error of predicted value for PM_(10) is relatively less in winter,summer and autumn,but it is contrary to that of SO_2;Considering the influence of blow sand condition on predicting accuracy of the system,the blowing sand coefficient in the model can be adjusted progressively according to different time and seasons,thus it can improve prediction accuracy of the model for air quality in windy and dusty season effectively,so as to be adapted to the special climate and environmental condition in Yinchuan city.
Keywords:Yinchuan city  air quality  prediction
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