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董慧科, 韩帅, 王伟, 龙泽清, 王海芳. 春季典型天气太原市大气环境监测时段性研究[J]. 环境工程学报, 2014, 8(8): 3373-3378.
引用本文: 董慧科, 韩帅, 王伟, 龙泽清, 王海芳. 春季典型天气太原市大气环境监测时段性研究[J]. 环境工程学报, 2014, 8(8): 3373-3378.
shu
Dong Huike, Han Shuai, Wang Wei, Long Zeqing, Wang Haifang. Temporal research on atmosphere monitoring of Taiyuan under typical weather conditions in spring[J]. Chinese Journal of Environmental Engineering, 2014, 8(8): 3373-3378.
Citation: Dong Huike, Han Shuai, Wang Wei, Long Zeqing, Wang Haifang. Temporal research on atmosphere monitoring of Taiyuan under typical weather conditions in spring[J]. Chinese Journal of Environmental Engineering, 2014, 8(8): 3373-3378.
shu

春季典型天气太原市大气环境监测时段性研究

  • 1.

    中北大学环境与化工学院, 太原 030051

  • 基金项目:

  • 中图分类号: X831

Temporal research on atmosphere monitoring of Taiyuan under typical weather conditions in spring

  • 1.

    School of Chemical Engineering and Environment, North University of China, Taiyuan 030051, China

  • Fund Project:

  • 摘要: 为了从一些具有代表性的监测时段数据中快速而直观地反映太原市大气环境状况，运用特征分析法对太原市中心城区7个监测点的16个时间点位的样本数据联系性进行了分析。借助MATLAB软件对其进行可视化，得到各监测点的时间点优化分组。通过对7个优化分组综合比选，提出了能整体反映春季典型天气条件下太原市大气环境状况的优化时段点位，分别为7：00、12：00、14：00、15：00、18：00、19：00和22：00。将5 d相同或相似天气状况的优化时段点位进行对比，得到的结果一致，体现了代表性。太原市总体优化时段点位数据由反映各区域状况的各监测点优化时段点数据平均值或乘以相应的权重得出。
    Abstract: To quickly and intuitively reflect atmospheric environment conditions of Taiyuan from some typical data, the connection of samples data, obtained at each period of monitoring time, were analyzed via characteristic analysis method, which were monitored from 16 time points at 7 control sites of downtown Taiyuan areas. The optimal groups of time points at each monitoring sites were achieved through visualizing with MATLAB. With 7 optimization groups comprehensively compared and selected, optimal time points which can reflect the overall atmospheric environment conditions of Taiyuan in spring typical weather conditions were proposed as 7:00, 12:00, 14:00, 15:00, 18:00, 19:00, 22:00, respectively. These results showed consistency and representativeness compared with the optimal time points got from same or similar weather conditions in 5 days. The global data of Taiyuan optimal time points were obtained from average values of each monitoring site, or data of each site multiplied by the corresponding weights.
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出版历程
  • 收稿日期:  2014-05-07
  • 刊出日期:  2014-07-31
董慧科, 韩帅, 王伟, 龙泽清, 王海芳. 春季典型天气太原市大气环境监测时段性研究[J]. 环境工程学报, 2014, 8(8): 3373-3378.
引用本文: 董慧科, 韩帅, 王伟, 龙泽清, 王海芳. 春季典型天气太原市大气环境监测时段性研究[J]. 环境工程学报, 2014, 8(8): 3373-3378.
shu
Dong Huike, Han Shuai, Wang Wei, Long Zeqing, Wang Haifang. Temporal research on atmosphere monitoring of Taiyuan under typical weather conditions in spring[J]. Chinese Journal of Environmental Engineering, 2014, 8(8): 3373-3378.
Citation: Dong Huike, Han Shuai, Wang Wei, Long Zeqing, Wang Haifang. Temporal research on atmosphere monitoring of Taiyuan under typical weather conditions in spring[J]. Chinese Journal of Environmental Engineering, 2014, 8(8): 3373-3378.
shu

春季典型天气太原市大气环境监测时段性研究

  • 1. 中北大学环境与化工学院, 太原 030051
  • 收稿日期:  2014-05-07
基金项目:

摘要: 为了从一些具有代表性的监测时段数据中快速而直观地反映太原市大气环境状况，运用特征分析法对太原市中心城区7个监测点的16个时间点位的样本数据联系性进行了分析。借助MATLAB软件对其进行可视化，得到各监测点的时间点优化分组。通过对7个优化分组综合比选，提出了能整体反映春季典型天气条件下太原市大气环境状况的优化时段点位，分别为7：00、12：00、14：00、15：00、18：00、19：00和22：00。将5 d相同或相似天气状况的优化时段点位进行对比，得到的结果一致，体现了代表性。太原市总体优化时段点位数据由反映各区域状况的各监测点优化时段点数据平均值或乘以相应的权重得出。

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