| 二维多箱模型预测大气环境方法的研究 |
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| 引用本文： | 程水源,郝瑞霞,乔文丽,汤大纲,杜渐,任阵海. 二维多箱模型预测大气环境方法的研究[J]. 环境科学, 1998, 19(2): 16-19 |
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| 作者姓名： | 程水源 郝瑞霞 乔文丽 汤大纲 杜渐 任阵海 |
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| 作者单位： | 河北科技大学环境工程系，中国环境科学研究院 |
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| 基金项目： | 国家“八五”科技攻关课题 |
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| 摘 要： | 采用二维多箱模型对石家庄市区大气污染物ＳＯ２进行了计算，分别计算了４个风向的各子箱污染物浓度，然后按其风向频率加权取和得到平均浓度。把计算结果与地面监测值和１９９４－０１中国环境科学研究院的高空航测值进行了比较分析后发现。多箱模型预测大气环境比单箱模型和其它预测方法产生的误差要小。
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| 关 键 词： | 多箱模型 大气环境预测 大气监测 |
| 收稿时间： | 1997-07-11 |
A Study on Predicting Atmospheric Environment by Two Dimension Multi-Box Model |
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| Cheng Shuiyuan,Hao Ruixi,Qiao Wenli,Tang Dagang,Du Jian and Ren Zhenhai. A Study on Predicting Atmospheric Environment by Two Dimension Multi-Box Model[J]. Chinese Journal of Environmental Science, 1998, 19(2): 16-19 |
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| Authors: | Cheng Shuiyuan Hao Ruixi Qiao Wenli Tang Dagang Du Jian Ren Zhenhai |
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| Affiliation: | Dept.of Environ.Eng., Hebei Sci.and Tech.Univ., Shijiazhuang 050018;Dept.of Environ.Eng., Hebei Sci.and Tech.Univ., Shijiazhuang 050018;Dept.of Environ.Eng., Hebei Sci.and Tech.Univ., Shijiazhuang 050018;Chinese Research Academy of Environ.Sci., Beijing 100012;Chinese Research Academy of Environ.Sci., Beijing 100012;Chinese Research Academy of Environ.Sci., Beijing 100012 |
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| Abstract: | In this paper,atmospheric SO 2 concenration in Shijiazhuang City has been calculated by using two dimension multi box model.The concentrations of every box in four wind directions has been also calculated,and then average concentration in every box has been obtained by weighting method on wind direction frequencies.Comparing calculating values with monitoring concentrations on the ground and high altitude plane monitoring values by Chinese Recearch Academy of Environ.Sci.in January 1994,it was found that the predicting result by multi box model brings smaller error than that by single box model.Author recognizes that the method of prodicting atmospheric environmental concentration in cities and economic development districts by multi box model is one of the best methods. |
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| Keywords: | multi box model atmospheric environment prediction meteological feature.high altitude plane monitoring. |
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