气象因子在重污染天气模型中的应用研究
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摘要
以合肥市冬季典型重污染天气为对象,运用大数据和计算机模拟合肥市冬季典型重污染天气分布格局,同时使用景观指数移动窗口方法对测试数据进行综合分析.通过对该地区的年均与不同季节内的各气象因子在空间中的浓度分布状态的研究,结果显示:气象因子对合肥市冬季典型重污染天气污染物浓度的变化影响显著,具有季节效应.同时该研究结果能够有效反映气象因子与合肥市冬季典型重污染天气特征间的关系,对指导改善城市污染具有重要的价值.
In this paper,by taking the typical heavy polluted weather in winter in Hefei as an example,the big data and computers are applied to simulate the distribution pattern of typical heavy polluted weather in winter in Hefei. At the same time,the landscape index moving window method is used to analyze the test data comprehensively. Through the study of the annual and seasonal distribution pattern of every meteorological factor in this region,the results show that as following,meteorological factors have significant impact on the concentration of typical heavy polluted weather in winter in Hefei,and it have seasonal effects. At the same time,the results can effectively reflect the relationship between meteorological factors and the characteristics of the typical heavy pollution weather in winter in Hefei,which is of great value for guiding the improvement of urban pollution.
In this paper,by taking the typical heavy polluted weather in winter in Hefei as an example,the big data and computers are applied to simulate the distribution pattern of typical heavy polluted weather in winter in Hefei. At the same time,the landscape index moving window method is used to analyze the test data comprehensively. Through the study of the annual and seasonal distribution pattern of every meteorological factor in this region,the results show that as following,meteorological factors have significant impact on the concentration of typical heavy polluted weather in winter in Hefei,and it have seasonal effects. At the same time,the results can effectively reflect the relationship between meteorological factors and the characteristics of the typical heavy pollution weather in winter in Hefei,which is of great value for guiding the improvement of urban pollution.
引文
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[4] FERNáNDEZ-FERNáNDEZ S,BERNABEU A M,BOUCHETTE F,et al. Beach morphodynamic influence on long-term oil pollution:the prestige oil spill[J]. Journal of Coastal Research,2011,102(64):890-893.
[5] PARKER W S. Computer simulation,measurement,and data assimilation[J]. British Journal for the Philosophy of Science,2015,68(1):273-304.